• ISSN 0258-2724
  • CN 51-1277/U
  • EI Compendex
  • Scopus
  • Indexed by Core Journals of China, Chinese S&T Journal Citation Reports
  • Chinese S&T Journal Citation Reports
  • Chinese Science Citation Database
Volume 54 Issue 3
Jun.  2019
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Article Contents
CHEN Maolu, WANG Zengqiang, PU Yun. Axiomatic Design Based Logistics System Evaluation in Mass Customization Context[J]. Journal of Southwest Jiaotong University, 2019, 54(3): 595-603. doi: 10.3969/j.issn.0258-2724.20170190
Citation: CHEN Maolu, WANG Zengqiang, PU Yun. Axiomatic Design Based Logistics System Evaluation in Mass Customization Context[J]. Journal of Southwest Jiaotong University, 2019, 54(3): 595-603. doi: 10.3969/j.issn.0258-2724.20170190

Axiomatic Design Based Logistics System Evaluation in Mass Customization Context

doi: 10.3969/j.issn.0258-2724.20170190
  • Received Date: 18 Apr 2017
  • Rev Recd Date: 22 May 2018
  • Available Online: 01 Jun 2018
  • Publish Date: 01 Jun 2019
  • Evaluating logistics systems in the context of mass customisation is uncertain and complex., As linguistic information is utilized in the evaluation of of logistics systems rather thanprecise and quantitative indexes, this paper presents a methodology based on the linguistic information and axiomatic design. In this methodology, firstly, an approach based on the integration of fuzzy scale evaluation is presented to obtain the normalised weight vector. Secondly, the expectation-outcome consistency for each alternative is determined by the executive team, followed by the calculation of the comprehensive evaluation indexes using axiomatic design. Finally, the most suitable logistics system can be identified by the ranking of the comprehensive appraisal indexes. The proposed method synthesized the linguistic-based decision-making theory and applied the information axiom in the axiomatic design for a computer company to select the logistics system. Six decision-makers determined six key indices of the logistics system and their expected values, and the index weight vector was calculated through linguistic information processing. Seven alternatives of logistic systems designed by the third-party logistics enterprises were determined, and the corresponding methods were employed to handle three types of index expectation. The obtained reasonable alternative has validated the feasibility and effectiveness of the proposed method.

     

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  • PINE B JⅡ. Mass customization–the new frontier in business competition[M]. Boston: Harvard Business Press, 1993: 3-5
    TRENTIN A, PERIN E, FORZA C. Increasing the consumer-perceived benefits of a mass-customization experience through sales-configurator capabilities[J]. Computers in Industry, 2014, 65(4): 693-705. doi: 10.1016/j.compind.2014.02.004
    KAY M J. Making mass customization happen:lessons for implementation[J]. Strategy & Leadership, 2013, 21(4): 14-18.
    曾钟钟,江志斌,许淑君. 物流公司配送绩效评价模型研究[J]. 工业工程与管理,2003,9(3): 40-44. doi: 10.3969/j.issn.1007-5429.2003.03.010

    ZENG Zhongzhong, JIANG Zhibin, XU Shujun. Research on the performance evaluation model of logistic company’s distribution[J]. Industrial Engineering and Management, 2003, 9(3): 40-44. doi: 10.3969/j.issn.1007-5429.2003.03.010
    彭禄斌,吴冰,刘仲英,等. 基于声誉的物流公共信息平台信任评价模型[J]. 工业工程与管理,2009,14(4): 78-83. doi: 10.3969/j.issn.1007-5429.2009.04.014

    PENG Lubin, WU Bing, LIU Zhongying, et al. A trust evaluation model based on reputation for logistics public information platform[J]. Industrial Engineering and Management, 2009, 14(4): 78-83. doi: 10.3969/j.issn.1007-5429.2009.04.014
    丁斌,陈殿龙. 基于粗糙集与FAHP-FCE的地方政府应急物流预案评价[J]. 系统工程,2009,27(4): 7-11. doi: 10.3969/j.issn.1001-2362.2009.04.002

    DING Bin, CHEN Dianlong. The evaluation of emergency logistics plan of local government based on rough set and FAHP-FCE[J]. Systems Engineering, 2009, 27(4): 7-11. doi: 10.3969/j.issn.1001-2362.2009.04.002
    GONG B, CHEN X, HU C. Fuzzy entropy clustering approach to evaluate the reliability of emergency logistics system[J]. Energy Procedia, 2012, 16(Part A): 278-283.
    THOMPSON M K. Improving the requirements process in axiomatic design theory[J]. CIRP Annals-Manufacturing Technology, 2013, 62(1): 115-118. doi: 10.1016/j.cirp.2013.03.114
    HWANG H S. Design of supply-chain logistics system considering service level[J]. Computers & Industrial Engineering, 2002, 43(1/2): 283-297.
    BEDNAR S, MODRAK V. Mass customization and its impact on assembly process’ complexity[J]. International Journal for Quality Research, 2014, 8(3): 417-430.
    SILVA C A, SOUSAA J M C, RUNKLER T A. Optimization of logistic systems using fuzzy weighted aggregation[J]. Fuzzy Sets and Systems, 2007, 158(17): 1947-1960. doi: 10.1016/j.fss.2007.04.008
    ROGHANIAN E, PAZHOHESHFAR P. An optimization model for reverse logistics network under stochastic environment by using genetic algorithm[J]. Journal of Manufacturing Systems, 2014, 33(3): 348-356. doi: 10.1016/j.jmsy.2014.02.007
    WANG J, LI X, WANG G, et al. Modelling a remanufacturing reverse logistics system using fuzzy stochastic Petri net[J]. International Journal of Industrial & Systems Engineering, 2015, 19(3): 311.
    佟士祺,王诺,谢春晓. 建设物流方案多目标均衡优化模型研究[J]. 计算机集成制造系统,2008,14(12): 2312-2316.

    TONG Shiqi, WANG Nuo, XIE Chunxiao. Multiobjective tradeoff optimization model of implementation scheme in project logistics[J]. Computer Integrated Manufacturing Systems, 2008, 14(12): 2312-2316.
    董建华,肖田元,乔桂秀,等. 面向大规模定制的制造系统关键技术[J]. 计算机集成制造系统,2002,8(8): 579-592.

    DONG Jianhua, XIAO Tianyuan, QIAO Guixiu. Key technologies for mass customization manufacturing systems[J]. Computer Integrated Manufacturing Systems, 2002, 8(8): 579-592.
    BORDOGNA G, FEDRIZZI M, PASSI G. A linguistic modeling of consensus in group decision making based on OWA operator[J]. IEEE Transactions on Systems,Man,and Cybernetics, 1997, 27(1): 126-132. doi: 10.1109/3468.553232
    樊治平, 冯博. 基于协同网络信息的多指标决策方法[M]. 北京: 科学出版社, 2009: 77-79
    RAPPOLD J A, VAN ROO B D. Designing multi-echelon service parts networks with finite repair capacity[J]. European Journal of Operational Research, 2009, 199(3): 781-792. doi: 10.1016/j.ejor.2008.08.006
    OPRICOVIC S, TZENG G H. Defuzzification within a multicriteria decision model[J]. International Journal of Uncertainty,Fuzziness and Knowledge based Systems, 2003, 11(5): 635-652. doi: 10.1142/S0218488503002387
    BODILY S E. A delegation process for combining individual utility functions[J]. Management Sciences, 1979, 25(10): 1035-1041. doi: 10.1287/mnsc.25.10.1035
    SUH N P. Axiomatic design: advances and applications[M]. New York: Oxford University Press, 2001: 12-16
    KULAK O, KAHRAMAN C. Fuzzy multi-attribute selection among transportation companies using axiomatic design and analytic hierarchy process[J]. Information Sciences, 2005, 170(2/3/4): 191-210. doi: 10.1016/j.ins.2004.02.021
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