Minimising Embodied Product Energy to support energy efficient manufacturing

Rahimifard, Shahin; Seow, Yingying; Childs, Thomas G.

doi:10.1016/j.cirp.2010.03.048

Cited by 232 publications

(109 citation statements)

References 7 publications

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“…Scipioni et al have proposed a method, which can identify main processes contributing to climate change in enterprise production and supply chain [2]. Rahimifard et al have proposed a general conceptual and computational framework for the efficiency evaluation of the manufacturing processes [3]. Alsaffar et al highlighted the importance of reducing carbon footprint through simultaneous consideration of manufacturing processes and supply chain activities [4].…”

Section: Low Carbon Manufacturing and Design Technologymentioning

confidence: 99%

Optimal Configuration Algorithm for Mechanical Products Based on the Constraint of Carbon Footprint

Wei¹,

Li²,

Zheng³

et al. 2015

TOMEJ

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Abstract:The concept of carbon footprint controllable product is proposed to assess carbon footprint during the stage of product development and configuration. It's different from carbon footprint assessment afterwards. As a result, the control objectives can be quantified accurately and realized easily. Relations among product characteristics, which include carbon footprint, are uncertain. In order to obtain the optimal product configuration scheme based on constraint of carbon footprint, three-stage theory is proposed. These three stages refer to functional configuration, compliance evaluation of carbon footprint, and optimal comprehensive evaluation. Using this theory, functional feasible solution set, carbon footprint conforming set and the optimal scheme are generated respectively. Grey relation analysis is verified as an effective method for comprehensive benefit evaluation. Reducer design is used as a case study to illustrate the proposed concept.

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Section: Low Carbon Manufacturing and Design Technologymentioning

confidence: 99%

Optimal Configuration Algorithm for Mechanical Products Based on the Constraint of Carbon Footprint

Wei¹,

Li²,

Zheng³

et al. 2015

TOMEJ

View full text Add to dashboard Cite

show abstract

“…It is noteworthy that this formulation needs time intervals: an early start time and a late start Expression (1) shows the optimization function where the objective is to minimize the finish time of the last activity (n). Expression (2) ensures that each activity starts only once. Expression (3) represents the precedence constraints, and the set P i contains the immediate predecessor activities of activity i.…”

Section: Description Of the Mrcpspmentioning

confidence: 99%

“…The current trend in various academic areas is oriented towards environmental awareness [1,2,3]. More precisely, in the last decade, eco-efficiency solutions have taken a relevant position in firms due to pressures from government regulators, community activists, global competition, and nongovernmental organizations [4].…”

Section: Introductionmentioning

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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“…A significant proportion of energy used in manufacturing is currently generated through fossil fuels (Rahimifard et al, 2010). Therefore in the foreseeable future, energy efficiency will become the main focus in manufacturing because of both scarce resources and increasing greenhouse gases from production processes.…”

Section: Introductionmentioning

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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Minimising Embodied Product Energy to support energy efficient manufacturing

Cited by 232 publications

References 7 publications

Optimal Configuration Algorithm for Mechanical Products Based on the Constraint of Carbon Footprint

Optimal Configuration Algorithm for Mechanical Products Based on the Constraint of Carbon Footprint

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

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