Extraction of Product Service System Configuration Rules Based on Multi-objective DPSO Algorithm

Abstract

Abstract:

Abstract： To assist engineers to map customer requirements into technical characteristics of product service system effectively, a kind of rule extraction method combining DPSO with Pareto was proposed. The method includes establishing the model of product service system configuration rules and constructing the model of ParetoDPSO. In ParetoDPSO, continuous particle was mapped into a decimal discrete space using the frequency initialization method based on Sobol sequence and the particle discrete update method; Pareto was used to obtain the optimal set of rules by evaluating multiple target functions. By comparing with OMOPSO and DPSO, the feasibility and validity of the proposed method was verified by applying in the example of automotive product service system configuration design.

Key words: product service system, configuration rules, multiobjective optimization, Pareto, discrete particle swarm optimization (DPSO)

CLC Number:

TP 391.7

LIU Yuan1，ZHANG Zaifang1，YAO Di2，CHU Xuening3. Extraction of Product Service System Configuration Rules Based on Multi-objective DPSO Algorithm[J]. Journal of Shanghai Jiaotong University, 2015, 49(08): 1123-1130.

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