Industry - Science topic

Production logistics management in a manufacturing company is currently one of the key areas of business management that significantly affects the level of technical and organizational efficiency of business operations. The change in the level of technical and organizational efficiency of business operations also usually has a significant impact and correlates with the issue of business efficiency and affects the financial results generated in the business entity. Among the key segments of logistics in the enterprise are also internal production logistics, on the way of organization of which the efficiency of the operation of production processes and the efficiency of the enterprise also largely depends. In recent years, more and more companies and enterprises have been optimizing production logistics through the implementation of information systems and automation of individual operations in the process. Production logistics is mainly concerned with ensuring the optimal flow of materials and information in the process of producing all types of goods. Production logistics does not deal with the technology of production processes, but only with the organization of the production system together with the storage and transport environment. Production logistics is mainly concerned with the optimization of all operations related to the production process, such as: supplying the plant with raw materials, semi-finished products and components necessary for production; transporting items between successive stages of production; and transferring the finished product to disposal warehouses. Precisely defining optimal production logistics is a lengthy process, requiring analysis and modification of almost every process taking place in a company. One of the key factors in the optimization of production logistics is the reduction of inventory levels and their adjustment to the ongoing production process. This translates directly into a decrease in storage costs. Effective management of production logistics should ensure timely delivery, while maintaining high product quality. Effective production logistics management can be supported by the implementation of new Industry 4.0/5.0 technologies, including Big Data and generative artificial intelligence.

The key issues of opportunities and threats to the development of artificial intelligence technology are described in my article below:

In view of the above, I address the following question to the esteemed community of scientists and researchers:

What do you think about this topic?

What is your opinion on this issue?

Please answer,

I invite everyone to join the discussion,

Thank you very much,

Best wishes,

Dariusz Prokopowicz

Throughout my academic journey, I have never had the opportunity to meet Ceramics industry players in any colloquium organised by my department. I am sure that I may not be alone to miss this opportunity as a student. Kindly share your views with me on how industry player-led colloquiums could enrich educational experience in higher institutions

For some developed digital twin models, intuitively, the simulation results show almost no difference from the actual outcomes. Such system is named as "high fidelity digital twin".

My question is, for a digital twin system, should we not be concerned about the issue of overfitting? In other words, the higher fidelity the better?

Today AI is emerging rapidly than ever. When it comes to production we have so many arguments about how to add artificial intelligence or where to add artificial intelligence. Even to monitor the production performance we still do it manually. Image processing AI to gather from live video data needs a lot of processing and great quality infrastructure. What do you think about monitoring production performance, can we use Image processing technology, and how to make it more precise?

Do you know any scholars/researchers who, without a PhD, ended up as researchers at an institute?

Hello everyone. I am currently doing my undergrad in Industrial Engineering, about to start my thesis and have a keen interest in machine learning but finding appropriate datasets have been tough. If anyone would be kind enough to suggest websites to find datasets related to my field, it would help me a lot. I have already tried Kaggle but had hard luck finding anything worth working on.

Thank you.

Nano-technology. ...what are the latest developments across industries?

https://www.mdpi.com/journal/asi/special_issues/5860X359C1

Dear Colleagues,

Today, in the era of digitalization, companies are experiencing new challenges more than ever before. Innovation, sustainability and resilience are the pillars of successful and sophisticated digital transformation.

X.0 companies can no longer focus on a simple short-term vision by producing the same recipes but are embracing more creative changes in order to be able to produce innovations and create new personalized experiences.

X.0 is the digital reinvention of the industry, combining the efficiency of transformation with research. This transformation will be able to create innovation and make these companies more resilient toward new sustainable growth to create value.

This session aims to share the most recent contributions in this area. Researchers and professionals are invited to present their work in the following or related fields:

Dr. Mario Di Nardo Dr. Maryam Gallab Guest Editors

i am student of MS Banking & Finance and want to write thesis on islamic banking and finance. please share your topic related to this industry so i coud start my thesis work. topic should be related to current islamic finance problem. thanks

All these terms are so confusing! I want to understand these terminologies in a very crisp and simplified manner. Can someone help me out with this confusion explaining their differences and real life examples? Any authorized books of reputed publishers? Thanks in advance.

There is nothing worse for curb appearance than chipped and cracked concrete, particularly in steps. But you don’t have to put up with that blight any longer. By the result of weather changes exerted on an existing construction for prolonged time, it causes contraction and expansion those gradually results concrete steps cracks and break up with time.

Dear researchers, I would like to get expert opinions on how to fix this issue with,

prolonged sustainability .

Your answers are highly welcomed.

The evaluation system in academia is fairer than in the industry, right?

In industry, the evaluation is mainly based on the leader's scoring of their employees, while the evaluation system in academia is much fairer, isn't it?

Dear All,

May I know the cost of 1 Kg of Edible algal oil which is having 10 % of EPA?

NB: I would like to interact with Industry experts towards commercialisation of the Algal Oil

Topic plan: Reallocation water resources from agriculture to industry

Effective agents: a group of farmers, industry, regional water organization, ...

Question: Is it possible to use the agent-based model to simulate interactions between agents?

The fact that there are individual government agencies and a representative must be chosen for each agency, while farmers are a group and several thousands of farmers can be defined.

Does the difference in the number of agents cause problems for modeling?

Is it better to use Multi Agent system or Agent Based Model? What is the difference between Multi Agent Systems and Agent Based Model?

@https://www.researchgate.net/profile/Francisco-Grimaldo

What' s the contribution of industry 4.0 to the development od entrepreneurial organizations?

What are advantages and disadvantages of industry 4.0 for entrepreneurial development?

Dear Community,

I am currently working on my master's thesis in the field of Change Impact Analysis in Cyber-Physical Systems and I am looking for experts from the CPS field to participate in our survey: https://cia-da.limesurvey.net/354998?lang=en (EN and DE versions available).

We would be very happy if you could complete the questionnaire and give us feedback!

We would also appreciate it if you could distribute the link to your colleagues, especially from the other disciplines/working groups.

The survey will stay open until 16.08.2023.

The results will be evaluated in the context of the master's thesis and can be distributed to you in the form of the master's thesis and further publications if you are interested.

Just fill in the email address at the end of the questionnaire or contact us directly.

We have also written a WiP paper on this topic which you can request here:

Thank you for your support.

Best regards,

Diana V.

I am currently developing a team-level assessment of Psychological Safety (PS) that will be used by companies in an applied setting.

Specifically, the assessment will be a standard self-report Likert scale, with ~80 items spread across ~10 subscales. Teams will use this assessment to determine their PS levels and identify which intervention actions to take. There is also indications that our clients intend to use this assessment in an evaluative manner to judge managerial performance, and make team assignment decisions. This assessment will be administered, scored, and results reported via software, with no direct contact with me or other individuals with expertise in assessment administration or psychometrics.

I hope to establish between-industry norms for the assessment. The main push for these norms is forthcoming government regulations that will require companies to report assessment results regarding their performance relative to other companies in their industry.

I have spent days fruitlessly doing a literature search to locate specifics regarding sample size for establishing these norms. It seems the field is self-aware that most guidelines for norms are so vague they border on useless. However, I have been able to find some specific suggestions - that a minimum of N = 100 - 150 is required (e.g., Tett, Pieper, Wadlington, Davies, & Anderson, 2009; Gaddis, Foster, & Lemming, 2015).

However, all this research has been aimed at individual-level assessments. So it is unclear how this translate to team-level context. Do I need N = 150 teams within each industry? Or N = 150 individuals across a diversity of teams from a variety of companies within each industry? Is there a minimum number of teams and companies I should shoot for?

I understand that these things are more complex than a simple number (e.g., diversity and representativeness of sample is more important than the N, the importance of using of randomization and stratification in our sampling approach, etc.). But I am still hoping for a number or range of N that will at least give me a basic framework I can use to interpret and guide our sampling approach.

Thank you for anything you can offer!

Can you provide your perspective on this inquiry?

As we know Industry 4.0 is using many new technology including robotics, but are the Industry 4.0 implementation is always necessary using automation? Because automation is heavily discussed in Industry 3.0, especially computerization automation. Or maybe we can ask : using automation are Industry 4.0 or Industry 3.0?

Trying to mitigate early-age fractures in concrete buildings is crucial for ensuring adequate durability, minimising potential strength loss, and lowering maintenance costs. Because these cracks challenge the residential comfort and the aesthetic appearances of buildings.

Hi All Friends , Suppose Sustainability Has Become A Popular Demand For Consumers Across The Market For Many Food Products. It Also Has Economic Implications For Fishermen And Their Communities. What Is The Role Of Aquaculture In Sustainability And How Does It Impact The Seafood Industry?

Technologies typical of the current fourth technological revolution and Industry 4.0 have been developed and implemented in various sectors of the economy since the end of the last century. Technologies typical of the current fourth technological revolution and new technologies Industry 4.0 are used, among others also in the field of creating new solutions increasing the scope of energy savings. In view of the developing energy crisis, this is a particularly important issue at present. The key technologies of Industry 4.0 include: technologies improving analytical processes such as Big Data Analytics, Business Intelligence, Data Science, besides also cloud computing, artificial intelligence, learning machines, Internet of Things, robotics, horizontal and vertical data system integration, multi-criteria models simulation, digital twins, additive manufacturing, Blockchain, 5G, smart technologies, cybersecurity technologies, Virtual and Augmented Reality and other technologies of computerized multi-criteria data processing Data Mining. With the help of the above-mentioned Industry 4.0 technologies, it is possible to improve system solutions for saving electricity and / or heat as well as management systems for economical energy consumption, intelligent production of energy generated from various sources, energy security management systems, failure risk and energy blackout management systems, etc. The issue of improvement management systems for both energy production and its economical consumption is now particularly important in the context of the current energy crisis. In the future, not only subsequent energy and economic crises will increase the importance of using new technologies in order to increase the scale of energy saving, increase energy efficiency, energy storage, and build new sources of clean energy. In the future, the developing climate crisis will also increase the importance of this issue, as climate warming will generate greater energy consumption, e.g. by increasing the scale of installing cooling devices in various buildings.

In view of the above, I would like to address the following question to the Distinguished Community of Researchers and Scientists:

What is your opinion on this topic?

Please reply,

I invite everyone to the discussion,

Thank you very much,

Kind regards,

Dariusz Prokopowicz

Industry 4.0 emerge as a new workplace in which virtual and augmented reality, for example, but also internet of things, big data and other tehcnologies, are propaged as ways for improving productivity. What profiles of project management improvement are potencially possible, and are actually in use in this workplace context?

I wanted to make triethanolamine oleate as a lubricant.

So I purchased oleic acid. There were two different oleic acid (industrial grade) in the maket: liquid and semi-solid.

What is their difference?

I used liquid as trusted and good quality. I mixed them together without any catalyst or pressure-temperature conditions and the result was unsatisfactory.

What is suitable condition for this esterification?

Thanks

"US oil prices crashed into negative territory for the first time in history as the evaporation of demand caused by the coronavirus pandemic left the world awash with oil and not enough storage capacity — meaning producers are paying buyers to take it off their hands. West Texas Intermediate, the US benchmark, traded as low as -$40.32 a barrel in a day of chaos in oil markets." , reported by FINANCIAL TIMES on April 20, 2020.

Now the most common questions that might be raised in all people's mind is that " Will Oil Price Recover and Oil Industry Survive?? If Yes, When and How this will Occur?? "

The world’s experience (of developed countries) and economic literature in structural transformation witness that productivity growth in the manufacturing sector is steadily ahead of that in the service sector. However, current empirical studies in many countries including India and my country, Ethiopia, show the other way round: the service sector is growing faster than the manufacturing.

How can one interpret such an event in terms of economic transformation? Shall we expect services-driven economic transformations? What is missing and needs to be fixed, otherwise, and how?

Is construction or real estate sector a pillar industry of the national economy? The Chinese government once declared real estate sector as a pillar industry of the national economy in 2003. And some scholars argued that real estate sector is not a pillar industry .How about other countries? WHY is or isn’t it be? e

i'm very curious about the relationship between law and technology. Now Germany ist developing his ,,industry 4.0" program, how could law contribute to it?

To what extent do you think the paper-based contact and advertisement will be useful in the coming years. Will they be made redundant soon?

Please help! I'm looking for respondents to take this less than 5 minute survey on industry 4.0 and sustainability, it's for my master's thesis. Thanks so much, feel free to share the link with others as well! :) https://lnkd.in/eRPHiGqW #sustainability #share #help #innovation

A reviewer is requesting the inclusion of the country effect in our model. We are using the fixed-effect model and it automatically omitted the country effect.

Any idea, how to explain to a reviewer why country/industry effect cannot be included in a fixed-effect model.

Thanks

NEED A WATER HOURLY BASIS WATER USAGE DATASET OF AN INDUSTRY OR ANY SMART CITY...

If one is working in R&D, the company allows/wants to publish information that proves claims of the company and its cutting-edge technology- Clearly, the company prevents the publication of any information that might harm its business. Additionally, the company has no interest in having an employee publishing reviews or anything else.

How can someone publish independently from the company?

For sake of argument, let's assume that one wants to write a review on his own time at home without any data acquired through the company.

Hello everyone,

I have been asked to develop the state of the art related to the Digital Twin and I have tried to read many of the articles dealing with the topic that are present in the literature, paying special attention to the conceptual ones and reviews. However, the more I read, far from converging towards a unified vision, the more I got the impression that each author develops his own ideas and theories about the Digital Twin, largely depending on the application sector and the objectives to be achieved. So much so, that this concept is turning out to be a nightmare for me, I could not imagine such heterogeneity in terms of perspectives (just my actual perception). Here is a list of some topics that I find difficult to understand:

I am so sorry for the length of all this questions but I have tried to explain them well and in a clear manner. I would be very grateful if you could give me your views on any of these points.

Thank you very much in advance.

What kind of scientific research dominate in the field of Scientific research in the era of Industry 4.0?

Please, provide your suggestions for a question, problem or research thesis in the issues: Scientific research in the era of Industry 4.0.

Please reply.

I invite you to the discussion

Best wishes

What are the most recent &/or relevant papers on the use of VLC in the industry sector

I have difficulty in my research (for my thesis), I confused on choosing variable. Can you give me advises about the variable that represent the revolution industry 4.0. My thesis is about the impact Revolution industry 4.0 to manufacturing industry. Thank you

Nowadays, many industries and activities discharge various types of heavy metal ions with their effluent including Cu, Fe, Cd, Cr, Pb, Ni, etc.

Is there any industry in which copper and cadmium are the major constituents of its effluents?

what are the emission from Sohar port and Free Zone? what and health impact of industrial activities like emission heavy metal

I am doing empirical research.

Do I need to mention control variables in the Demographic Part?

Will respondents reply to this?

Thanks

Raza

Hello, i want to estimate the level of earnings management using the modified jones model. I have unbalanced panel data and 1350 firm-year observations from firms located in different european countries. The firms are classificated into different industries and the availability of data across them is limited (the firms of the study are specific). My question is: Do i have to run the Modified Jones model per industry and year (with a minimum of 10 firms required within each 2-digit sic code), or a regression with fixed (or random effects) is sufficient? Is there any assumption of the model that is violated?? The abnormal accruals estimated will be used as the dependent variable in another regression. Thank you in advance for your support.

What are the challenges in using glass substrate for microstrip fabrication? Do industries really use them?

The data is needed for a research the cafe industry pre and post covid in India

I am writing my thesis and i am rating the industries in terms of market attractiveness, and for that I am planning to do a score card approach.

I was wondering if there are any existing literature on the same where i can refer to, it would be really helpful for me.

the main scope of thesis is market entry strategy.

thanks in advance

At root MMT is commonly, and rightly, encapsulated by J Fagg Foster's insight, "Whatever is technically feasible is financially possible." Foster's brilliant understanding has been developed by MMT. MMTs most general conclusion is that government deficit is not, granted certain conditions, in itself, to be avoided, at least as an a priori. The question that I find myself left with is, advocating and having developed into another, a key insight, what is MMT?

Before going further, however, there remains a meta-issue: A common rejoinder by MMT defenders to critique is that the corpus of MMT literature contains a counter to how they are themselves being described, rendering the critic's argument as resting essentially on a straw man fallacy. Is this a valid defense? Must one read every publication, post, and other public statement of MMT to be able to authentically criticize it? Does MMT hold one consistent, though complex it may be, and reasoned point of view? Is MMT immune from having to post a clear statement of what it stands? Such a statement is offered, I will admit only to some degree, by Microeconomics in their textbooks; John Maynard Keynes (again I will admit with considerable controversy), Milton Friedman, and Robert Lucas are often readily and succinctly paraphrased, with, as far as I am aware of, little defensiveness from their advocates. Could MMT be said to be engaging in a defense of obfuscation?

To begin to ask my questions of MMT itself, is MMT an argument for full employment, or is it in argument for the feasibility of government social programs, or is it an argument for both? It has been said, at least somewhere in the MMT "literature," that MMT policy shall never be carried out at Full Employment. If this is the case, than at full employment, is MMT clearly asserting that social programs that require any workers, at least without a change in immigration policy, are not possible? And what does "full employment" mean? Is any government program to be "green lit," other things being equal, if only one worker is unemployed? If only one worker is out of the work force, yet able and willing to work, does this imply that any government social program is possible? Does this make any sense? Or is MMT arguing that no social program requiring more workers than are unemployed or willing and able to work, yet out of the work force, be used by a government program? Is available unemployed an established capacity limit to government programs argued by MMT? Is it suggesting that the quantity of available workers, with, or trainable, acknowledging the time lag implicit in this, be measured by any and all potential government programs, and that sufficient, in time, worker availability be established before its implementation be advocated? Is it clearly understood by MMT that levels of unemployment in itself are a restraint on government social programs. And without agreeing that frictional or structural unemployment exists, what is MMTs counter to the claim that they do? If unemployment does exist at a "natural" rate, than would not government policy be altering the nature of aggregate supply and risk creating an inflation that is not remediable by taxation by increasing the hiring of those who might be "naturally" unemployed?

Absolutely in How to Pay for the Green New Deal, by Yeva Nersisyan and L. Randall Wray (2019), as at least an example, by relying largely on proposed resource savings from the implementation of Medicare for All, it is argued, albeit in terms of GDP, not number of workers per se, it is argued that resources be rearranged so that, few, or even no, new resources, i.e. job vacancies, need be created to operationalize the GND, though the lead author has confessed at the ICAPE conference of 2020 that the paper makes no claim as to what the GND is, begging the question, "How can an explanation for the funding of a program be reasonably carried out if you do not know what that program is and (thus) the resource use that it will involve?"

The question, however, remains: is the solution that MMT is consistently offering to a full employment-social program conundrum that labor be relocated (and retrained) from other sectors? Is the established MMT argument, at least in light of How to Pay for the Green New Deal, in response to "full employment" that programs are possible if resource capacity can be altered by transferring jobs (and retraining), such as How to Pay for the Green New Deal might suggest? Is MMT consciously acknowledging that a resource scarcity in terms of labor in the assessment of the feasibility of government social programs be met with job transition? Has it considered adequately the possibility of opening immigration, including transportation, housing, and training to those in poverty around the world to work on government programs in the United States or other "MMT countries", given such a labor shortage at home? Economics often equates capacity with labor, but might there be more to capacity than labor-is employment the only measure of capacity?

As to social goals and the federal job guarantee, if there were a federal job guarantee (FJG) and this is indeed central to MMT, is it tied to the fulfillment of government social goals fulfilled by government programs; i.e. is the argument that desired social programs must be tied to the federal job guarantee such that any new labor demand created by government will be exclusively sourced from the job guarantee, or is it that non-FJG jobs required to fulfill government program goals will be at a greater wage than the FJGs fifteen dollar an hour wage and will draw labor (exclusively?) from FJG programs? IF not, given a greater than the FJG wage, are the consequences of reducing employment in the private sector to staff government projects being adequately considered?

Though considerable explicit and implicit controversy exists about the environmental impact of economic growth, partially (or fully? Is this possible at this time?) green or otherwise, a question emerges concerning MMT policy in terms of raising wages, and even employment, through the FJG or through the implementation of even green social programs. Assuming that due to imports, growing Kapitalization, and/or industry structure, inflation does not occur as a result of MMT policy, what is happening to the Earth? Is it possible, if not likely, that new housing starts, imports from cheaper dirty foreign economies, and increased real goods demand in other sectors will negatively impact the environment? Every new home is at high risk of destroying animal or plant habitats, wetlands or other ecological systems, and landscapes-even homes that produce no GHG emissions. Every new automobile, even if 100% electric, involves possible lithium mining, ore mining, paints, and the resources necessary to manufacture it, not to mention a variety of other resources such as, perhaps, plastic and vinyl. This does not include the increased resources, even "green" used to power it. This is also true of much, if not most, other consumption goods that upticks in labor demand and/or wages are likely to bring on. In addition, without claiming to be such an advocate, as brought up by nuclear energy advocates, if not others, is the significant environmental impact of wind and solar. More energy demand, even if entirely green, means more negative environmental impact. In theory, it is true that through recycling, using land already destroyed, and by placing high taxes and/or bans on much material consumption, much of the negative environmental impact of economic growth might (or might not) be averted, but does MMT policy, i.e. social programs, including the Federal Job Guarantee clearly, and unequivocally, count the Earth's resources as element of capacity?

So far, and it is quite possible that I am not aware of aspects of the MMT literature that says otherwise, the only real measure of capacity that has been put forward by MMT is inflation. Given no shortages, overutilization of current capacity could well be hidden by stable prices. Most horrifyingly of capacity overutilization is in surpassing environmental sustainability for both for the current generation and the next- the destruction of the Earth! And if there were inflation, is MMT arguing that we increase taxes in response, resulting in workers finding that their newly increased wage is buying less than they had hoped? Would MMT respond to their concern by telling them that this isn't a problem because in the long-run inflation will reduce and taxes will decrease? Is it understood that given government's trying to avoid a given level of inflation, no new social programs are possible until inflation returns to normal, and if it does, is it reasonable to assume that immediately engaging in another government project will not almost immediately cause another inflation spike that must be met with another round of taxes? Given inflation and the taxes intended to fight it, would the value of the minimum wage continue to make it a living wage?

It is my opinion that MMT has developed a key insight into government policy first suggested, as far as I know, by J Fagg Foster. MMT has brought to our attention the fact that the issue is not "money" or financial cost, but the quantity (and quality?) of available capacity. From here, MMT might be in need of more profound development.

What I argue is that MMT is fundamentally an institutionalist offshoot, not that it is not deserving of its own distinct name, but instead that it must take a starkly institutional approach to economics-to capacity-and to what capacity is and can be. In short, instead of arguing that inflation is an adequate measure of overcapacity,* it is better argued that capacity is measurable by existing, better-developed, empirical means. An idea would be that the massive abilities of econometric analysis, machine learning, and neural networks currently available to us, be used to measure capacity in physical, real, terms. The number of workers actually available or that could be transferred from other jobs; the ability based on, at least, for example, survey data, for them to be relocated or retrained; and what the changes in their real earnings as a result is, is measurable, and needs to be...measured.

The assumption that future technologies will be able to improve the environmental sustainability of current consumption is not a reasonable one. Moore's law has come to its predicted end and it is widely agreed that technology "bubbles" are stochastic in their arrival. We cannot reasonably assume, risking the health of the Earth, and the ability of future generations to subsist upon her, that Earth-health is not relevant to capacity. Therefore, capacity must include environmental sanctity in its measure. I will term such a capacity measure, REAL capacity. Policy must be carried out involving honest and careful conversation with Ecotoxicologists, Climate Scientists and Biologists and in fully incorporating what they say into policy. Though likely this is only a beginning to assessing environmental impact, MMT must soundly acknowledge that non-human resource use, autonomous to it money-price, is a key element of capacity and that, permanent inflation above wages, rent, and profit rises to match, is nothing but a good thing for the Earth, as it will keep such resource use, at least partly, in check.

In short, environmental sanctity is an element of capacity, that is at risk of going unnoticed. The occurrence of a leakage to it is generally counter to that of any inflation indicator: dirty imports might well keep inflation in check, but will not have the same effect upon the environment, which they will increase the damage ot. Domestically, increased "economies" of scale and/or an increased number of suppliers, might keep long-run, at least, inflation in check, but will not stop, for example, new housing starts in response to increased demand for housing from further harming the environment.

Research and wide discussion is necessary to discover how to take people out of poverty without harming the environment-how to communalize and how to reduce housing size and organize work site location (from at "home" wherever possible, as an example) such that reasonable subsistence is realized and environmentally harmful resource use is eliminated. This is more than just an interdisciplinary imperative, it is a public one. Few people likely do not have at least something to contribute as to how make the most efficient (in REAL terms) use of resources.

If resources use is to be increased, or even maintained, any assumption that foreign exporters will somehow magically decide to green or that technology will somehow magically be created and implemented to allow us to consume as we were without environmental impact, must be discarded. If these phenomena arise, then they can perhaps be relied upon and included in REAL capacity measurement. If the introduction of government programs (or otherwise), green or not green as they may be, increases consumption, a full survey of the costs and possibility for their sufficient reduction must be realized. If the result of this survey, when honestly interpreted, suggest a negative environmental impact, then the capacity to carry it out, as it stands, simply is not there.

If it argued that consumption in a program can be altered to make it non-environmentally harmful, then this fact must be firmly established. For example if it is argued that imports will limit inflation given the excess demand (or diminished supply) caused by a government program, then international agreements that require adequately green production abroad, ensuring no increased non-renewable resource use, including enforceable penalties for violations that impose more cost on violators than adherence to the agreement, have to be in place. Consumption restriction and substitute-supplementation with sufficient green goods (and/or services) must be such that consumption of only renewable resources will occur with increased incomes. If implementing the program in accord with environmental sanctity might result in decreased consumption per change in income than had been imagined, then this fact is best disclosed.

The difficult challenge of allowing all of humanity to live well enough to be (able to) be happy while no longer destroying the Earth in the process needs to be met. A tremendous amount of creativity and ingenuity, informed by A.I. technology needs to be our is available to us, and utilizing this must be our intention. Utilizing these resources will lead to the most efficient outcome. Spending on chosen programs until inflation hits, hoping for an economic crises to free up workers for social programs, and confusing reality with hope about our ability to substitute green production is not an answer. A near infinity of answers are, however, available to us. These range from Thorium power plants to Iron Salt Aerosols to sequester methane, to Paul Hawken's Drawdown to significantly reduce global greenhouse gas emissions. The emphasis needs to be on accurate technical measurement of REAL capacity, on human creativity & ingenuity, and on faith in society-wide acknowledged spirit. As I'm sure MMT advocates of all people would agree, we cannot put faint in monetary measures to evaluate, let alone to expand capacity.

Even if the costs to measuring REAL capacity, and to innovating its expansion are high, the costs of not doing so is far greater.

*MMT literature, especially as a fledgling school in the 1990s, argues that inflation is a largely counter-cyclical phenomenon and is instead largely a function of "social pricing." Given that this is true, is inflation sensitive enough to overcapacity to adequately measure it? If the answer is yes, then MMT is engaging in a contradiction as to the nature of price rises.

Is technological development in the scope of the continuation of the current technological revolution. Industry 4.0, ie above all new information technologies will change the processes of financial risk management?

Please reply

Best wishes

University graduates work in various companies and at first, find it difficult since what they learned is of very little or no help in the new job. The work is very specific and very little of it is covered in the university curriculum. Should universities focus more on job-specific skills or continue with academic education? what are the consequences?

How would you rate the environmental protection activities undertaken in your country? Are these actions sufficient?

Are activities undertaken in the field of environmental protection insufficient? If they are insufficient, what do you think should be done in terms of increasing environmental protection efforts?

The problem of environmental protection currently does not apply only to the reductions emitted by industry, automotive industry and developing urban agglomerations of environmental pollution. The problem of environmental protection is increasingly connected with greenhouse gas emissions and gradual increase of temperature at the Earth's surface and related climate changes, increasing scale and frequency of weather anomalies and increasingly occurring climatic cataclysms. It is necessary to develop renewable energy sources and ecological innovations in energy and other areas of green economy development. It is necessary to increase the dimension in sustainable economies as soon as possible in order to slow down the global warming process and reduce the scale of environmental pollution and to increase the scale of projects undertaken to rehabilitate a degraded environment.

Do you agree with my opinion on this matter?

In view of the above, I am asking you the following question:

Please reply

I invite you to the discussion

Best wishes

What are the types of software according to their classifications, needed to establish a 4.0 standard in the industry Ej. Dss , Data bases, IA ...

Ground instability has been historically the main cause of accidents, injuries, and fatalities in the mining industry, especially, in underground operations. In recent years, ground control management has shifted from a reactive approach towards a more risk-based practice. Australia has been one of the countries that have taken the lead on this matter by producing a series of industry guidelines such as the "Industry Guideline for Rockfall Risk Management". However, many of these initiatives have been lead by the industry rather than by government or safety enforcing agencies.

The government of Western Australia released in 2019 the Code of Practice - Ground Control for Western Australian Mining Operations. This document specifies a series of regulatory expectations for minimizing workforce exposure to hazardous ground movement.

I would like to know if anybody around here is aware of any other standard such as this that outlines the ground control practices that should be complied with by mining companies to ensure worker's safety around the world?

In his paper Tin and Oil: Can We See the Future through the Remote Past? Mikhail Abramishvilli suggests that the transition from fossil fuels to renewable and sustainable energy is analogous to the transition from the Bronze Age to the Iron Age.

That transition was marked by a dramatic change in imperial power distribution where the old Bronze Age civilisations gave way to the new whose technology was more advanced especially in weapons.

Since today’s economies are primarily dependent on hegemony over oil and peak-oil is now behind us will the inevitable shift in that hegemony be peaceful or like the end of the Bronze Age marked by an increase in world conflict?

What about your industry experience?

Hi everyone,

Not really a technical question here, but it has to do very closely with research.

I'm very fascinated by the potential for university-industry collaboration and technology transfer, and I'm curious to understand the perspective of researchers.

What is your experience working with industry as a university researcher?

What works well? What doesn't?

Where do you find the most value in joint projects in collaboration with industry and where are the most critical risks for you?

To support the debate I enclosed the slides of IEOM South America 2021 keynote.

My guess:

During and post Covid-19 health crisis, the Tourism, Travelling and Hospitality industry is the one which is suffering more impact.

I am interested in covering how the Hotel industry in particular should work and create tools and strategies for overcome the recession that is creating the health crisis.

A stage after obtaining a doctorate until finding the right job is one of the most difficult stages the researcher goes through during his scientific career because it largely determines the next stages. What does the graduate recommend to get the best job that suits his degree? How does the journey to find the right job start after the effort involved in the different study stages? Do you recommend a direction for research, teaching, or direction for the industrial sector?

Hello everyone.

I'm working on my Masters work in the first years of studying. And I think these topics might be interesting and inspiring enough:

Also, attracted by topics:

optimization of energy resources and smart energy system as part of the Industry 4.0 direction.

What do you think, which topics are the best?

On which topics it's easy enough to find adequat number of information?

P.S. As I understood, this work shouldn't be super complex, but enough smart and elaborated.

The technologies at the core of Industry 4.0 (additive manufacturing, robotics, internet of things, artificial intelligence, nanotechnology, etc) promise disruptive changes in all industries and business sectors. These technologies may also influence the collaboration among organizations. For instance, they may facilitate knowledge sharing, resource complementarities, and activity traceability.

However, only a small number of studies analyze how technologies may foster inter-organizational collaboration. Therefore, I ask the RG community to help me with two questions:

1) Do you know empirical studies or research projects focusing on these topics?

2) Do you know empirical cases of collaboration between companies that have arisen due to the application of Industry 4.0 technologies?

What are the industries that embraced blockchain technology?

ecological or green inhibitors, to replace the toxic organic inhibitors actually used in the industry that could be plant extract, drugs, amino acids.....

What are your experience in implementation of Industry 4.0 concept? A critical point of view is appreciated.

I have written paper on Autonomous Management to improve productivity, a case of Parason group of industries. kindly suggest journals.

Any research available on 1st, 2nd & 3rd Wave of COVID-19, and different economic responses by Top 3 Suffering Countries (USA, Brazil & India) ?

I am looking for Economic Responses in Each Wave by the top COVID-19 suffering countries,

How it lead them to prepare for the another wave ( In Economic terms)

I am now running an online survey on university-industry R&D alliance capabilities. The unit of analysis is dyads (one academic researcher and his/her industry partner). Number of dyads required=98.

It is indeed a challenging process as we now have many incomplete pairs. Most of the time, we are not able to get the industry partners to do the survey. This is because 1) they are not interested or 2) the university researchers refuse to give us the contact details of their industry partners, citing confidentiality of information.

My question:

Can I still proceed with the data analysis if I managed to get 98 dyads but some are incomplete dyads? Or shall I say mismatched dyads.

For example:

Incomplete Dyad A - Only the academic partner responded.

Incomplete Dyad B- Only the industry partner responded.

Can I combine incomplete Dyad A and B to become Dyad AB?

Look forward to your feedback

Hi

my research contains huge number of Data (Millions), I have one independent variable with 3 groups (patent organizational type (University/Industry/Collaborative Patent)).

and 4 ordinal independent variables (Citations (Forward and Backward)/family size/claims).

In order to check that there is a difference between the three types of organizations I used Kruskal Wallis (non parametric test) with all the three groups of patent organizational type

my question is:

Is It ok to use Kruskal Wallis with huge data (N=Millions) ?

and if i have inequivalent N with the 3 groups , for example examining FW Citation :

University Patents = 14000

Industry Patents = 819161

Collaborative Patents = 997

Is there any issue with using Kruskal Wallis in such case?

Thanks

Jumana

my project is to develop aerobic granular sludge in the SBR reactor. for seed sludge, I have obtained industrial activated sludge. the settling ability of sludge is not appropriate (SVI30=970 ml/g). I need the SVI of 200 ml/g at maximum. how can I reduce SVI, and improve settling ability? is aerating activated sludge a good strategy? for how long?

Is it only when the production of electric cars will multiply, popularize and be bigger than cars powered by an internal combustion engine, then only will the price of an electric car fall below those versions that are powered by traditional technology of burning minerals? Do other factors also determine this?

More and more car companies are introducing versions of some models of produced electrically powered cars into production, ie they are becoming part of the increasingly global trend of electromobility. However, electric cars are still much more expensive than those powered by an internal combustion engine. In some countries, the state pays a significant part of the purchase of an electric car.

An interesting issue is that pro-ecological technologies have been known for a long time but have not been introduced to mass production. When the production of cars started at the end of the 19th century and at the beginning of the 20th century, then electrically powered specimens appeared at that time, but mass production was not developed as part of the development of electromobility, but this method of power supply was replaced with internal combustion engines. Unfortunately, it took 100 years to finally take the issue of electromobility seriously.

In view of the above, I am asking you the following question:

Please reply

I invite you to the discussion

Thank you very much

Best wishes

Fisheries have been a vital industry and an employer across the Baltic. The economies of several communities and countries are almost entirely reliant on the sector. There have been drastic changes to the Baltic fish populations, causing ripple effects for the entire Baltic Sea ecosystem. Baltic fisheries could lead to over-exploitation of target species and various effects on non-target species due to Illegal, unreported, and unregulated (IUU) fishing. Also, IUU fishing remains one of the greatest threats to marine ecosystems due to its potent ability to undermine national and regional efforts to manage fisheries sustainably and conserve marine biodiversity. This situation calls for more empirical research on IUU fishing in the Baltic Sea for the sake of sustainable fisheries governance.

I am looking for a collaborator or a research group/persons that are working on combating IUU fishing.I would like to work with the research group as a visiting scholar and develop the theme-combating the IUU fishing. Would be glad to know the details of the research group or persons.Thanks in advance.

# IUU fishing #Baltic #Combat# Reesearch Group

I would like to know what catalyst exactly used for synthesis of ammonia in industry, any information is welcomed.

I used to work in a company that manufactured ozone generators. We had transparent tanks filled with olive oil in which we bubbled a known mixture of oxygen and ozone, to achieve the Criegee reaction generating peroxides in the oil, which has medicinal properties.

One day when I was doing the quality controls I found that the ozone inlet pipes, which transport the mixture of gases to the tank, were accumulating an intense light blue liquid in a kink. We cleaned it and it never happened again, but I always wonder if it was oxidation of some metal in the joints (probably Brass not stainless steel), added to the humidity in the air.

I don't know ... What do you think?

#ozone #oxidation #chemistry #chemical #issues

What are the available R&D options in India after PhD? Researchers usually join academia as professors after completing PhD. It would be great to know other less explored possibilities including industry research openings.

According to (Rigby & Bilodeau, 2018) five key trends emerged from Bain & Company's 2017 survey, in which respondents felt that today's business leaders must trust and empower employees, not command and control them; and that culture is at least as important as strategy for business success. In addition, supply chain capabilities are increasingly vital to our industry's success. Likewise, digital disruption and software solutions are rapidly changing the rules of competition. Today, there is a wide and varied range of business management tools, of which it is interesting to know the most widely used.