Development of closed–loop supply chain network in terms of corporate social responsibility

Due to the rise in awareness of environmental issues and the depletion of virgin resources, many firms have attempted to increase the sustainability of their activities. One efficient way to elevate sustainability is the consideration of corporate social responsibility (CSR) by designing a closed lo...

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Published in:	PloS one Vol. 12; no. 4; p. e0174951
Main Authors:	Pedram, Ali, Pedram, Payam, Yusoff, Nukman Bin, Sorooshian, Shahryar
Format:	Journal Article
Language:	English
Published:	United States Public Library of Science 06.04.2017 Public Library of Science (PLoS)
Subjects:	Algorithms Analysis Batteries Biological evolution Business logistics Chaos theory Component reliability Computation Computers Construction Construction management Consumption Corporate social responsibility Design Economic development Electronic equipment Electronics industry Energy conversion Engineering Engineering and Technology Environmental impact Environmental perception Evolution Expert systems Fractals Fuzzy Logic Fuzzy sets Fuzzy systems Genetic algorithms Government regulations Industrial management Information technology Job creation Life cycle analysis Life cycles Linear programming Literature reviews Local communities Logistics Manufacturing Mathematical analysis Mathematical models Mechanical engineering Models, Organizational Natural resources Operations research Optimization Physical Sciences Pollution prevention Regulations Research and Analysis Methods Reviews Robustness (mathematics) Social aspects Social factors Social Responsibility Social Sciences Supply chains Sustainability Sustainable development Kuala Lumpur Malaysia Malaysia
ISSN:	1932-6203, 1932-6203
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Abstract	Due to the rise in awareness of environmental issues and the depletion of virgin resources, many firms have attempted to increase the sustainability of their activities. One efficient way to elevate sustainability is the consideration of corporate social responsibility (CSR) by designing a closed loop supply chain (CLSC). This paper has developed a mathematical model to increase corporate social responsibility in terms of job creation. Moreover the model, in addition to increasing total CLSC profit, provides a range of strategic decision solutions for decision makers to select a best action plan for a CLSC. A proposed multi-objective mixed-integer linear programming (MILP) model was solved with non-dominated sorting genetic algorithm II (NSGA-II). Fuzzy set theory was employed to select the best compromise solution from the Pareto-optimal solutions. A numerical example was used to validate the potential application of the proposed model. The results highlight the effect of CSR in the design of CLSC.
AbstractList	Due to the rise in awareness of environmental issues and the depletion of virgin resources, many firms have attempted to increase the sustainability of their activities. One efficient way to elevate sustainability is the consideration of corporate social responsibility (CSR) by designing a closed loop supply chain (CLSC). This paper has developed a mathematical model to increase corporate social responsibility in terms of job creation. Moreover the model, in addition to increasing total CLSC profit, provides a range of strategic decision solutions for decision makers to select a best action plan for a CLSC. A proposed multi-objective mixed-integer linear programming (MILP) model was solved with non-dominated sorting genetic algorithm II (NSGA-II). Fuzzy set theory was employed to select the best compromise solution from the Pareto-optimal solutions. A numerical example was used to validate the potential application of the proposed model. The results highlight the effect of CSR in the design of CLSC. Due to the rise in awareness of environmental issues and the depletion of virgin resources, many firms have attempted to increase the sustainability of their activities. One efficient way to elevate sustainability is the consideration of corporate social responsibility (CSR) by designing a closed loop supply chain (CLSC). This paper has developed a mathematical model to increase corporate social responsibility in terms of job creation. Moreover the model, in addition to increasing total CLSC profit, provides a range of strategic decision solutions for decision makers to select a best action plan for a CLSC. A proposed multi-objective mixed-integer linear programming (MILP) model was solved with non-dominated sorting genetic algorithm II (NSGA-II). Fuzzy set theory was employed to select the best compromise solution from the Pareto-optimal solutions. A numerical example was used to validate the potential application of the proposed model. The results highlight the effect of CSR in the design of CLSC.Due to the rise in awareness of environmental issues and the depletion of virgin resources, many firms have attempted to increase the sustainability of their activities. One efficient way to elevate sustainability is the consideration of corporate social responsibility (CSR) by designing a closed loop supply chain (CLSC). This paper has developed a mathematical model to increase corporate social responsibility in terms of job creation. Moreover the model, in addition to increasing total CLSC profit, provides a range of strategic decision solutions for decision makers to select a best action plan for a CLSC. A proposed multi-objective mixed-integer linear programming (MILP) model was solved with non-dominated sorting genetic algorithm II (NSGA-II). Fuzzy set theory was employed to select the best compromise solution from the Pareto-optimal solutions. A numerical example was used to validate the potential application of the proposed model. The results highlight the effect of CSR in the design of CLSC.
Audience	Academic
Author	Pedram, Ali Pedram, Payam Yusoff, Nukman Bin Sorooshian, Shahryar
AuthorAffiliation	1 Centre for Product Design and Manufacturing, Department of Mechanical Engineering, Faculty of Engineering, University of Malaya, Kuala Lumpur, Malaysia 4 Faculty of Industrial Management, University of Malaysia Pahang, Gambang Kuantan, Pahang, Malaysia 2 Department of Information Technology, Faculty of Electronic, Computer and Information Technology, Qazvin Islamic Azad University, Qazvin, Iran 3 Department of Mechanical Engineering, Faculty of Engineering, University of Malaya, Kuala Lumpur, Malaysia Southwest University, CHINA
AuthorAffiliation_xml	– name: 3 Department of Mechanical Engineering, Faculty of Engineering, University of Malaya, Kuala Lumpur, Malaysia – name: 4 Faculty of Industrial Management, University of Malaysia Pahang, Gambang Kuantan, Pahang, Malaysia – name: Southwest University, CHINA – name: 1 Centre for Product Design and Manufacturing, Department of Mechanical Engineering, Faculty of Engineering, University of Malaya, Kuala Lumpur, Malaysia – name: 2 Department of Information Technology, Faculty of Electronic, Computer and Information Technology, Qazvin Islamic Azad University, Qazvin, Iran
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Copyright	COPYRIGHT 2017 Public Library of Science 2017 Pedram et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. 2017 Pedram et al 2017 Pedram et al
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Notes	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 Competing Interests: The authors have declared that no competing interests exist. Conceptualization: AP PP NBY SS.Data curation: AP PP NBY SS.Formal analysis: AP PP NBY SS.Funding acquisition: AP NBY SS.Investigation: AP PP NBY SS.Methodology: AP PP NBY SS.Software: AP PP.Supervision: NBY.Validation: AP PP.Visualization: AP PP.Writing – original draft: AP PP.Writing – review & editing: AP PP NBY SS.
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SubjectTerms	Algorithms Analysis Batteries Biological evolution Business logistics Chaos theory Component reliability Computation Computers Construction Construction management Consumption Corporate social responsibility Design Economic development Electronic equipment Electronics industry Energy conversion Engineering Engineering and Technology Environmental impact Environmental perception Evolution Expert systems Fractals Fuzzy Logic Fuzzy sets Fuzzy systems Genetic algorithms Government regulations Industrial management Information technology Job creation Life cycle analysis Life cycles Linear programming Literature reviews Local communities Logistics Manufacturing Mathematical analysis Mathematical models Mechanical engineering Models, Organizational Natural resources Operations research Optimization Physical Sciences Pollution prevention Regulations Research and Analysis Methods Reviews Robustness (mathematics) Social aspects Social factors Social Responsibility Social Sciences Supply chains Sustainability Sustainable development
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Title	Development of closed–loop supply chain network in terms of corporate social responsibility
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