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Volume 54 Issue 3
Jun.  2019
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Journal of Southwest Jiaotong University  > 2019  >  54(3): 595-603.
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
shu

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
    Abstract
  • 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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