improvement in the resource efficiency of a product

The resulting handbook, Unlocking Industrial Resource Productivity: Five Core Beliefs to Increase Profits through Energy, Material, and Water Efficiency (McKinsey Publishing, February 2016), set out five core beliefs for resource-productive operations, or RPO (Exhibit 1). In Proceedings of the 2000 ACM SIGMOD International Conference on Management of DataSIGMOD 00, Dallas, TX, USA, 1518 May 2000; Dunham, M., Naughton, J.F., Chen, W., Koudas, N., Eds. Hochreiter, S.; Schmidhuber, J. For In Proceedings of the 2013 27th International Conference on Advanced Information Networking and Applications Workshops, Barcelona, Spain, 2528 March 2013; pp. Energy efficiency is by far the most explicitly considered resource efficiency aspect (. ; Tama, B.A. Ltje, A.; Willenbacher, M.; Engelmann, M.; Kunisch, C.; Wohlgemuth, V. Exploring the System Dynamics of Industrial Symbiosis (IS) with Machine Learning (ML) TechniquesA Framework for a Hybrid-Approach. Some high-level tools have been developed to improve industrial resource efficiency (Paola and Marco, 2010). Improvement of Efficiency - an overview | ScienceDirect Topics 12: 6689. Chin, R.T. Energy Efficiency | ENERGY STAR DeMartini, M.; Evans, S.; Tonelli, F. Digitalization Technologies for Industrial Sustainability. methods, instructions or products referred to in the content. E-mail address: a.weyand@ptw.tu-darmstadt.de Abstract In order to decrease carbon emissions and to address the problem of resource scarcity, the production industry as major consumer of energy and resources is forced to act and increase the resource efficiency of their production lines. ; Steinhilper, R. Pattern recognition in load profiles of electric drives in manufacturing plants. Comparing actual energy consumption with ideal energy consumption over a full year of production showed that the improvements could be achieved through a combination of measures, including selecting the right assets for each task, fine-tuning equipment speed, rethinking storage capacity, and minimizing pressure losses. Ullah, A.S. What is knowledge in Industry 4.0? This is a significant challenge that requires innovative . to extending product lifetimes (WRAP 2011; Allwood et al. positive feedback from the reviewers. [. Resource efficiency Improving resource efficiency is among the top priorities in today's world, as governments, businesses and civil society are increasingly concerned about natural resource use, environmental impacts, material prices and supply security. In line with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, this paper identifies, categorizes, and analyzes seventy papers with a focus on AI tasks, AI methods, business units, and their influence on resource efficiency. The objective is to find patterns, in order to predict failures and prevent them through early maintenance measures. The last of our five principles might have the most significant impact on the way industrial companies run their businesses in the coming years. the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, 93104. Available online: Umweltbundesamt. Feature papers represent the most advanced research with significant potential for high impact in the field. A crop variety must possess several desirable characters like, high yield, superior quality, early maturity . permission is required to reuse all or part of the article published by MDPI, including figures and tables. Resource Efficiency is a very important, but relatively underutilized, concept that is essential for sustainable development. 133138. What Is Continuous Improvement? The Complete Guide - Kanbanize Kaelbling, L.P.; Littman, M.L. We are happy to say that the fundamentals still hold. It is shown that AI methods have already been applied to increase resource efficiency in manufacturing companies, but only to a limited extent. By analyzing 70 research papers, this paper identifies the research gaps and contributes to the scientific discourse on how AI applications can support sustainability and, in particular, resource efficiency in manufacturing companies. How to measure resource efficiency How to improve resource efficiency What is resource efficiency? Incorporating these concepts allows an existing lean production system to evolve into a true sustainability-driven production system. ; ODonnell, G. Characterising the Energy Consumption of Machine Tool Actuator Components Using Pattern Recognition. It also offered readers a guide to analytical approaches and improvement measures that could unlock more business value while reducing the impact on the planet. In particular, AI methods such as agent-based modeling, expert systems, e.g., with fuzzy systems or evolutionary algorithms should be investigated for this purpose, since these are common AI methods, but not machine learning methods, and therefore were not assessed in this paper. In. Waltersmann, L.; Kiemel, S.; Stuhlsatz, J.; Sauer, A.; Miehe, R. Artificial Intelligence Applications for Increasing Resource Efficiency in Manufacturing CompaniesA Comprehensive Review. 5.5.1.2 Material Efficiency 115. . Disclaimer/Publishers Note: The statements, opinions and data contained in all publications are solely Advanced-analytics approaches and AI technologies, such as neural networks, are now being applied to the control of industrial assets. Conversion Efficiency The amount of available sunlight that a solar panel converts to electricity is known as conversion efficiency. PDF Policy Guidance on Resource Efficiency - OECD Reinforcement Learning: A Survey. With the help of a decision tree, Evans et al. : +49 6151 16 20284; fax: ++49 6151 16 20087. future research directions and describes possible research applications. A large-scale ten-year operational energy-efficiency program at another chemicals player focused on capability building among frontline process engineers. For example, training an AI algorithm may consume five times as much energy as a passenger car over its entire life cycle [. Elsewhere, companies have transformed the performance management of their plants using the profit-per-hour approach. In Proceedings of the Eleventh International IBPSA Conference, Glasgow, Scotland, 2730 July 2009. ; et al. AI thus provides support for the evaluation, identification and implementation of improvement measures in manufacturing companies. 2021. [. This means that if a source deals with resource efficiency, it usually takes several aspects directly into account. However, this literature review is not without limitations. They also learn as they work, continually improving their own performance. Artificial Intelligence Applications for Increasing Resource Efficiency ; Kriegel, H.-P.; Ng, R.T.; Sanders, J. LOF: Identifying density-based local outliers. Resource efficiency is the amount of value that you realize from a unit of a resource such as power, water, materials, land and labor. Available online: VDI Zentrum Ressourceneffizienz GmbH. Introduction Food security ( Liu et al., 2021 ), high use-efficiency of resources ( Liu et al., 2020 ), and mitigation of environmental impacts ( Tian et al., 2020) are the central concerns of sustainable agricultural development. Consumers have become more vocal about sustainability issues and more likely to act on their views. Performance Evaluation of Predictive Classifiers for Knowledge Discovery from Engineering Materials Data Sets. 910915. PDF Efficiency, Production, and Resource Consumption - MIT The main types of waste in Lean are Muda, Mura and Muri. It will also require changes to performance indicators and management systems so that teams are provided with incentives to meet resource-productivity goals. Definition of Artificial Intelligence. 8994. The use of recycled materials has become a marketing point for sportswear brands and car companies. And lean thinkings focus on equipping frontline teams with the skills and tools to improve their own workplaces is a perfect model for the detailed, granular work required to improve resource productivity. 2018. ; writingoriginal draft preparation, L.W., S.K. Improved resource efficiency will be . Part B J. Eng. By efficiently maintaining machines, increases in material and energy efficiency can be achieved. This paper contributes to the necessity of integrating sustainability with AI applications by explicitly examining the aspect of resource efficiency increases caused by AI applications in manufacturing companies. A data mining approach to optimize pellets manufacturing process based on a decision tree algorithm. In another similar survey, 33% of the 360 firms from Spain and Mexico adopted the Kaizen methodology. By reducing attrition and production waste through improved simulation and planning, the material efficiency of the manufacturing system is improved. Resource efficiency is closely related to various environmental impacts caused by resource utilization, and improving resource efficiency is of great significance to a country's economic growth and environmental improvement (Lu and Schandl, 2021; Pauliuk et al., 2021; Sun et al., 2020 ). Antosz, K.; Pako, .; Gola, A. Sustainability innovations for resource and energy efficiency Measuring resource efficiency and circular economy: A market value ; Youn, H.Y. The role of artificial intelligence in achieving the Sustainable Development Goals. In total, only 23 papers address resource efficiency improvements as an explicit goal, although only papers related to resource efficiency were included. Liu, F.T. For most organizations, that will require systematic reskilling at scale. Derived from the identified papers and the analysis, the second subsection determines typical use cases of AI applications, increasing resource efficiency within manufacturing companies. Moreover, because time is truly a nonrenewable resource, the overall performance of a process can be determined by how effectively it uses the time available to generate value. Improving crop productivity and resource use efficiency to ensure food To address climate change and the pressing environmental challenges such as biodiversity loss, the integration of sustainability into business operations is becoming increasingly important for companies and a key competitive advantage. [, Wohlgemuth, C. Entwurf und Galvanotechnische Fertigung Metallischer Trennmembranen fr Mediengetrennte Piezo-Resistive Drucksensoren. The second essential innovation was the development of tools that could enable the real-time optimization of profit per hourin an industrial system. Schwartz, R.; Dodge, J.; Smith, N.A. Solved Identify an example of an innovation from within the - Chegg Manuf. Shah, H.; Gopal, M. A fuzzy decision tree-based robust Markov game controller for robot manipulators. Resource Efficiency is about creating higher well-being and producing more goods and services, while using fewer resources and limiting harmful emissions and wastage. As in other sectors, these companies are realizing that the journey to sustainability requires a holistic approach, combining actions both in the boardroom and on the shop floor(Exhibit 2). Practical Markov Chain Monte Carlo. This identity, first developed in the 1970s, is commonly used . Subsequently, typical use cases of the identified AI applications are described with a focus on predictive maintenance, production planning, fault detection and predictive quality, as well as the increase in energy efficiency. One chemicals company found that more than 90 percent of its process variability could be explained by external factors, such as differences in temperature, humidity, or feedstock. Jagadish; Ray, A. Optimization of process parameters of green electrical discharge machining using principal component analysis (PCA). [. BASF has taken an important step by updating its sustainability assessment method TripleS (Sustainable Solution Steering) in order to further develop its product portfolio even more strongly in the direction of climate protection, resource efficiency and circular economy in the future and to meet the growing sustainability requirements in its markets with innovative solutions. Providing an overview of current AI applications, typical use cases were identified, including predictive maintenance, production planning, fault detection and prediction/predictive quality, as well as increasing energy efficiency in production and facility management. Today, the transfer of benefits between lean principles and digital is a two-way flow. Conserve Resource Efficiency - cefic.org ; Shapiai, M.I. Satisfactory Essays. Vaswani, A.; Shazeer, N.; Parmar, N.; Uszkoreit, J.; Jones, L.; Gomez, A.; Kaiser, L.; Polosukhin, I. Energy efficiency can help households financially and improve the health, comfort, and safety of families in their homes. Bechtsis, D.; Tsolakis, N.; Vlachos, D.; Iakovou, E. Sustainable supply chain management in the digitalisation era: The impact of Automated Guided Vehicles. Another typical use case of AI in the field of process optimization is fault detection in production. Please let us know what you think of our products and services. ; Kosters, W.A. Sustainable Reverse Engineering Process. Potenziale der Schwachen Knstlichen Intelligenz fr die Betriebliche Ressourceneffizienz. Sci. Crucially, the profit-per-hour calculation incorporates a comprehensive set of revenue and cost drivers relevant to sustainability, such as potential revenue from selling excess energy, as well as costs from emissions, waste disposal, water usage, or carbon offsets. The project has accrued almost $50million in annual savings so far. METHODS OF CROP VARIETY IMPROVEMENT An improved variety of a crop is superior to the other existing varieties in respect to one or more characters. In Proceedings of the 2011 11th International Conference on Hybrid Intelligent Systems (HIS), Malaxxa, Malaysia, 58 December 2011; pp. We use cookies on our website to ensure you get the best experience. Hence, material efficiency, energy efficiency, and water efficiency are of interest in this paper. Quality Improvement - Johns Hopkins Medicine Long short-term memory for machine remaining life prediction. Among other things, they promised to take back from customers products at the end-of-life stage and to develop second-life markets and remanufacturing programs. On average, 60% of the resource efficiency aspects are potentially influenced by the identified papers (, Although most of a products environmental impact is determined at the development phase and although there is a high potential for AI applications in materials science (particularly due to the high variability and data availability), this review did not find an AI application which highly impacts resource efficiency during development.

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