Document Type
Article
Publication Date
1-1-2017
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.
Keywords
Fuzzy Logic, Models, Organizational, Social Responsibility
Divisions
fac_eng
Funders
University of Malaya (Grant No. RP018B-13AET),University of Malaysia Pahang (Grant No. RDU140107)
Publication Title
PLoS ONE
Volume
12
Issue
4
Publisher
Public Library of Science