Multi-Objective Cloud Manufacturing Service Selection and Scheduling with Different Objective Priorities

Wei He, Guozhu Jia, Hengshan Zong and Tao Huang
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Wei He: School of Economics and Management, Beihang University, Beijing 100191, China
Guozhu Jia: School of Economics and Management, Beihang University, Beijing 100191, China
Hengshan Zong: Institute of systems engineering, China Aerospace Academy of Systems Science and Engineering, Beijing 100048, China
Tao Huang: Center for Industrial Production, Aalborg University, Aalborg, Fibigerstraede 16, DK-9220 Aalborg, Denmark

Sustainability, 2019, vol. 11, issue 17, 1-24

Abstract: In recent years, with the support of new information technology and national policies, cloud manufacturing (CMfg) has developed rapidly in China. About CMfg, scholars have conducted extensive and in-depth research, among which multi-objective service selection and scheduling (SSS) attracts increasing attention. Generally, the objectives of the SSS problem involve several aspects, such as time, cost, environment and quality. In order to select an optimal solution, the preference of a decision maker (DM) becomes key information. As one kind of typical preference information, objective priorities are less considered in current studies. So, in this paper, a multi-objective model is first constructed for the SSS with different objective priorities. Then, a two-phase method based on the order of priority satisfaction (TP-OPS) is designed to solve this problem. Finally, computational experiments are conducted for problems with different services and tasks/subtasks, as well as different preference information. The results show that the proposed TP-OPS method can achieve a balance between the maximum comprehensive satisfaction and satisfaction differences, which is conducive to the sustainable development of CMfg. In addition, the proposed method allows the preference information to be gradually clarified, which has the advantage of providing convenience to DM.

Keywords: cloud manufacturing; objective priority; service selection and scheduling; multi-objective optimization; genetic algorithm (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2019
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