Promoting Green and Sustainability: A Multi-Objective Optimization Method for the Job-Shop Scheduling Problem

Wenzhu Liao and Tong Wang
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Wenzhu Liao: College of Mechanical Engineering, Chongqing University, Chongqing 400044, China
Tong Wang: College of Mechanical Engineering, Chongqing University, Chongqing 400044, China

Sustainability, 2018, vol. 10, issue 11, 1-19

Abstract: As a result of increasingly serious environmental pollution, it is vital to reduce carbon emissions to achieve green and sustainable development for manufacturing processes. Customer satisfaction, as an important factor affecting enterprise profits, is of great importance in the promotion of sustainable development. Because an accurate delivery time and high delivery rate improve customer satisfaction and enhance an enterprise’s competitive advantage in the market, this paper proposes a new optimization method for achieving low carbon emissions, a high delivery rate, and a low cost for a job-shop scheduling problem. The computational results show the negative correlation between assembly cost and carbon emissions, and the positive correlation between assembly cost and delivery time by Pareto optimization. The proposed method, which takes into consideration carbon emissions, greatly supports the objective of achieving a green and sustainable development.

Keywords: carbon emission; job shop; scheduling; multi-objective; optimization (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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