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    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/105946

    Title: A multi-objective differentiated service model for pricing and due date setting in the handmade wood product industry.
    Authors: Liu, S. C.;Chung, C. H.;Lai, Y. C.
    Keywords: Handmade wood product industry;Differentiated service model;Multiobjective;Particle swarm optimization (PSO);Large neighborhood search (LNS);Customer preference information;Hybrid heuristic method
    Date: 2015/03/01
    Issue Date: 2016-04-22 13:11:49 (UTC+8)
    Publisher: Springer London
    Abstract: Since various service needs for pricing and setting due dates in the handmade wood product industry are increasing dramatically, a differentiated service based on the maximal profit criterion becomes an important marketing strategy for customer relationship management (CRM). However, other important objectives of customer satisfaction maximization are often ignored. In this paper, a multiobjective differentiated service model based on customer preference information on pricing and due date setting into consideration in the handmade wood product industry is proposed. Since resolving the differentiated service model is an NP problem, a multiobjective hybrid heuristic method is proposed. The hybrid heuristic method integrates large neighborhood search (LNS) into particle swarm optimization (PSO). The results revealed that the proposed method is better than existing methods and other heuristic methods for the single or differentiated service model in terms of both profit and customer satisfaction criterion. Some sensitivity analysis for different customer segments and different arrival rates is also considered.
    Relation: International Journal of Advanced Manufacturing Technology 77(1), pp.131-144
    DOI: 10.1007/s00170-014-6440-0
    Appears in Collections:[教育科技學系暨研究所] 期刊論文

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