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.
Highlights
In recent years, information technologies have been widely used in manufacturing companies, and their impacts on the manufacturing industry become more apparent than ever before [1,2,3]
On the basis of previous research, we introduce the order of priority satisfaction, and propose a two-phase method based on the order of priority satisfaction (TP-OPS)
This paper proposes a two‐phase method based on the order of priority satisfaction (TP‐OPS) for tThheisspearpviecreprsoepleocsteisona twanod-phsacsheemdueltihnogd bparsoebdleomn thweiothrdedrifoffeprerniotriotybsjeactitsivfaectpiornio(rTiPti-eOs PiSn) foclrotuhde smeravniucefascetluercitniogn
Summary
Information technologies have been widely used in manufacturing companies, and their impacts on the manufacturing industry become more apparent than ever before [1,2,3]. As a new manufacturing model supported by information technology, cloud manufacturing (CMfg) is rapidly developing in China [4,5]. Through CMfg platforms, manufacturing resources distributed throughout this country are integrated and packaged into various services. A variety of manufacturing requirements are published onto the platforms by clients. These requirements are usually personalized products that need multiple services to work together [6]. How to select and schedule these services to meet the requirements of different clients becomes an important issue
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