A new approach to scheduling in manufacturing for power consumption and carbon footprint reduction

Fang, Kan; Uhan, Nelson A.; Zhao, Fu; Sutherland, John W.

doi:10.1016/j.jmsy.2011.08.004

Cited by 497 publications

(195 citation statements)

References 16 publications

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“…Cervantes et al [40] propose a mathematical expression where the relation between the population and the activities is inverse. Based on these statements, Expression (19) and Expression (20) are proposed. The best chromosomes are more likely to be selected [41].…”

Section: Chromosomementioning

confidence: 99%

A new model and metaheuristic approach for the energy-based resource-constrained scheduling problem

Morillo-Torres

Barber

Salido

2017

Proceedings of the Institution of Mechanical Engineers, Part B:

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SAGE PublicationsMorillo-Torres, D.; Barber, F.; Salido, MA. (2017) instance, through a realistic mathematical model. This extension provides an alternative to the current trend of numerous researches about optimization and the manufacturing field, which require the inclusion of components to reduce the environmental impact in the decision-making process. PSPLIB-ENERGY is available at http://gps.webs.upv.es/psplib-energy/..

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Section: Chromosomementioning

confidence: 99%

A new model and metaheuristic approach for the energy-based resource-constrained scheduling problem

Morillo-Torres

Barber

Salido

2017

Proceedings of the Institution of Mechanical Engineers, Part B:

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“…It is possible to explore opportunities for saving energy by relaxing the fixed processing times assumption. For example, Fang et al (2011) developed a multi-objective mixed integer linear programming (MOMILP) model to minimize completion time and energy by varying operation speed on a single machine. In this work, decisions on operation speed affected peak load and energy consumption.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The authors develop a non-linear parametric equation that estimates power consumption based on various levels of machining parameters and report a positive relationship between power consumption and turning parameters. It is then possible to use this estimate of power consumption in scheduling problems that consider power consumption explicitly, such as those studied by Mouzon et al (2007), Fang et al (2011), Liu et al (2013, or this study.…”

Section: Literature Reviewmentioning

confidence: 99%

Minimizing energy consumption and makespan in a two-machine flowshop scheduling problem

Mansouri

Aktaş

2016

Journal of the Operational Research Society

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Energy consumption has become a key concern for manufacturing sector because of negative environmental impact of operations. We develop constructive heuristics and multi-objective genetic algorithms (MOGA) for a two-machine sequence-dependent permutation flowshop problem to address the trade-off between energy consumption as a measure of sustainability and makespan as a measure of service level. We leverage the variable speed of operations to develop energy-efficient schedules that minimize total energy consumption and makespan. As minimization of energy consumption and minimization of makespan are conflicting objectives, the solutions to this problem constitute a Pareto frontier. We compare the performance of constructive heuristics and MOGAs with CPLEX and random search in a wide range of problem instances. The results show that MOGAs hybridized with constructive heuristics outperform regular MOGA and heuristics alone in terms of quality and cardinality of Pareto frontier. We provide production planners with new and scalable solution techniques that will enable them to make informed decisions considering energy consumption together with service objectives in shop floor scheduling.

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“…Efficient energy use not only reduces energy consumption, but also directly and indirectly controls greenhouse gas (GHG) emissions [25,26]. For less energy intensive sectors energy efficiency strategies is needed due to the wider range in energy uses within these sectors.…”

Section: Literature Reviewmentioning

confidence: 99%

An explorative study to enable environmentally conscious manufacturing for an industrial gearbox manufacturing organization

2014

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-In recent years, environmentally conscious manufacturing (ECM) has become an important aspect and proactive approach for majority of the manufacturing organizations in India. The reason is that ECM not only helps to produce environment friendly, but also helps to make money by reducing cost or achieving competitive advantage. Industrial gearbox manufacturing organizations have significant environmental impacts as industrial gearbox manufacturing involves several steps which use valuable resources and pollute the environment. Hence, this paper presents an explorative environmental study of an Indian industrial gearbox manufacturing organization. The objective of the current paper is (i) to identify the environmental problems and environmentally conscious manufacturing indicators (ECMI), (ii) to find out the root causes of these problems and (iii) to solve the root causes based on the available stateof-the-art literature. This research work not only reviews the efficient environment friendly manufacturing techniques, but also helps the organization to become eco-efficient by producing environment friendly while making money. First ECMIs selected from literature review, are validated through process mapping. Then these indicators are prioritized using analytic hierarchy process (AHP) to find out the critical environmentally conscious manufacturing indicators (CECMI). The sources of CECMIs are identified using either data envelopment analysis (DEA) or direct observation of the available database. Finally, some possible solutions are also addressed in this paper.

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A new approach to scheduling in manufacturing for power consumption and carbon footprint reduction

Cited by 497 publications

References 16 publications

A new model and metaheuristic approach for the energy-based resource-constrained scheduling problem

A new model and metaheuristic approach for the energy-based resource-constrained scheduling problem

Minimizing energy consumption and makespan in a two-machine flowshop scheduling problem

An explorative study to enable environmentally conscious manufacturing for an industrial gearbox manufacturing organization

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