A Multi-objective Optimization Design of Service Portfolio for Electric Vehicle Lease

doi:10.3969/j.issn.1007-7375.2019.04.015

Abstract

Abstract: The electric vehicle lease industry has developed rapidly. In order to meet the comprehensive needs of both consumers and companies, a multi-objective service portfolio optimization design method for the electric vehicle lease is researched. The fuzzy theory method is used to determine the weight of each service item. The disappointment theory is applied to describe the customer's delight and disappointment perception in order to calculate customer perceived performance. The calculation methods for program cost, compatibility, and market competition index are also established. A multi-objective service portfolio optimization design model of electric vehicle lease with the highest customer perceived performance, the lowest cost, the best program compatibility, and the strongest market competitiveness is finally proposed. A method for determining weights of multi-objective function is designed to set weights for multi-objective decision at different stages. Finally, through an actual case, the validity of the model is verified, which formulates the service portfolio for different stages, the target optimization results are significant, providing a scientific and effective decision-making method for the service design of electric vehicle lease companies.

Key words: service portfolio design, electric vehicle lease, multi-objective optimization, customer perceived utility

CLC Number:

LI Qi, MIAO Rui, ZHANG Jie, JIANG Zhibin, FU Yuan. A Multi-objective Optimization Design of Service Portfolio for Electric Vehicle Lease[J]. Industrial Engineering Journal , 2019, 22(4): 101-108.

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