Energy saving policies for a machine tool with warm-up, stochastic arrivals and buffer information

One of the measures for saving energy in manufacturing is the implementation of control strategies that reduces energy consumption during the machine idle periods. Specifically, the paper proposes a framework that integrates different control policies for switching the machine off when the production is not critical, and on either when the part flow has to be resumed or the queue has accumulated to a certain level. A general policy is formalized by modeling explicitly the power consumed in each machine state. A threshold policy is analyzed and the optimal parameter is provided for an M/M/1/K system. Numerical results are based on data acquired with dedicated experimental measurements on a real machining centre, and a comparison with common practices in manufacturing is also reported

Energy efficiency in discrete-manufacturing systems: insights, trends, and control strategies

Since the depletion of fossil energy sources, rising energy prices, and governmental regulation restrictions, the current manufacturing industry is shifting towards more efficient and sustainable systems. This transformation has promoted the identification of energy saving opportunities and the development of new technologies and strategies oriented to improve the energy efficiency of such systems. This paper outlines and discusses most of the research reported during the last decade regarding energy efficiency in manufacturing systems, the current technologies and strategies to improve that efficiency, identifying and remarking those related to the design of management/control strategies. Based on this fact, this paper aims to provide a review of strategies for reducing energy consumption and optimizing the use of resources within a plant into the context of discrete manufacturing. The review performed concerning the current context of manufacturing systems, control systems implemented, and their transformation towards Industry 4.0 might be useful in both the academic and industrial dimension to identify trends and critical points and suggest further research lines.Peer ReviewedPreprin

Designing a greener product: the Hoover 'New Wave' washing machine range

Hoover is one of the best known manufacturers of domestic appliances in Britain and has made washing machines at its Merthyr Tydfil factory since 1948. This article discusses the creation of the Hoover New Wave range of ‘green’ washing machines, which were launched in 1993 after a four year programme of research, design and development and investment in new manufacturing plant costing £15 million.The New Wave range were the first products to be awarded an EU Ecolabel, having exceeded set criteria for energy, water and detergent consumption and wash performance

Activating the private clean innovation machine.

In view of the sizeable climate change challenge, we need a clean innovation machine operating at full speed. The private clean innovation machine, left on its own, is not up for this challenge. It needs government intervention to address the combination of environmental and knowledge externalities and overcome path dependencies. The firm level evidence presented in this contribution on the motives of private sector firms for introducing clean innovations from the latest Flemish CIS eco-innovation survey confirms that firms are responsive to eco-policy interventions. It is however not a panacea. The high importance of demand pull from customers and voluntary codes of conduct or voluntary sector agreements as drivers for introducing clean innovations, is a reminder of the internal strength of the private innovation machine, which government should try to leverage. The evidence is also strongly suggestive of how important the details of the policy design are. Policy interventions are more powerful to induce the adoption and development of new clean technologies when designed time consistently, affecting future expectations.

Doing Well and Doing Good: Pioneer Employers Discover Profits and Deliver Opportunity for Frontline Workers

A new study of business practices reveals powerful ways to create strategic and financial gains. Lower-wage workers, when supported by effective policies, boost productivity, quality, innovation, and revenues from new markets. In the process, the value added by frontline employees rises and they garner significant and sustained wage gains and career advancement. The successful formulas of these firms are models adoptable by thousands of similar businesses

Autonomous Energy-aware production systems control

Energy and resource efficiency has recently become one of the most relevant topics of research in manufacturing, both as industry accounts for a major part of the world energy consumption and in the context of the increasing attention to the need of sustainable development at planetary level. This work aims at paving the way to the development of novel energy-aware control policies of production systems, by means of autonomous decisions about their states in terms of production and energy consumption, exploiting the possibilities given by the new ICT technologies, such as Internet of Things and cloud computing, which allow seamless information sharing among the machines through an appropriate and standardized ICT infrastructure. The energy saving control approach investigated in this work exploits the current trend in research to reduce the idle time of machines in favor of stand-by states, obtaining significant savings in terms of energy, by allowing novel solutions for decentralized control. The proposed control enables the production machines to autonomously share with and process the information of the other machines in the system to decide in real-time their specific energy behaviour, even postponing processing if that is possible. The approach adopted includes conceptual development of the dynamic behaviour models of the system and the proposed policies, then their deployment in an application scenario taken by actual industry cases and data, enabling study of the performance of the system with a detailed design of experiments. The proposed approach represents a significant contribution to the state of the art, as the proposed energy-aware control enables decisions based on real-time information instead of statistically-based forecasts of part arrival rates, as in the previous literature; furthermore the approach is of relevant value for the practitioner, especially as it paves the way to an operationalization to the vision of Cyber-Physical Systems and Industry 4.0

Energy Efficient Policies, Scheduling, and Design for Sustainable Manufacturing Systems

Climate mitigation, more stringent regulations, rising energy costs, and sustainable manufacturing are pushing researchers to focus on energy efficiency, energy flexibility, and implementation of renewable energy sources in manufacturing systems. This thesis aims to analyze the main works proposed regarding these hot topics, and to fill the gaps in the literature. First, a detailed literature review is proposed. Works regarding energy efficiency in different manufacturing levels, in the assembly line, energy saving policies, and the implementation of renewable energy sources are analyzed. Then, trying to fill the gaps in the literature, different topics are analyzed more in depth. In the single machine context, a mathematical model aiming to align the manufacturing power required to a renewable energy supply in order to obtain the maximum profit is developed. The model is applied to a single work center powered by the electric grid and by a photovoltaic system; afterwards, energy storage is also added to the power system. Analyzing the job shop context, switch off policies implementing workload approach and scheduling considering variable speed of the machines and power constraints are proposed. The direct and indirect workloads of the machines are considered to support the switch on/off decisions. A simulation model is developed to test the proposed policies compared to others presented in the literature. Regarding the job shop scheduling, a fixed and variable power constraints are considered, assuming the minimization of the makespan as the objective function. Studying the factory level, a mathematical model to design a flow line considering the possibility of using switch-off policies is developed. The design model for production lines includes a targeted imbalance among the workstations to allow for defined idle time. Finally, the main findings, results, and the future directions and challenges are presented

Tracking Report 2009 Adidas Group, China 530015138H

This document is part of a digital collection provided by the Martin P. Catherwood Library, ILR School, Cornell University, pertaining to the effects of globalization on the workplace worldwide. Special emphasis is placed on labor rights, working conditions, labor market changes, and union organizing.FLA_2009_AdidasGroup_TR_China_530015138H.pdf: 18 downloads, before Oct. 1, 2020