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<article xsi:noNamespaceSchemaLocation="http://jats.nlm.nih.gov/publishing/1.1/xsd/JATS-journalpublishing1-mathml3.xsd" dtd-version="1.1" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><front><journal-meta><journal-id journal-id-type="publisher-id">PBES</journal-id><journal-title-group><journal-title>Proceedings of Business and Economic Studies</journal-title></journal-title-group><issn>2209-2641</issn><eissn>2209-265X</eissn><publisher><publisher-name>Bio-Byword Scientific Publishing Pty. Ltd.</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.26689/pbes.v7i6.9116</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>Evaluating Logistics Systems in the Context of Mass Customization Based on Goal Expectation</title><url>https://artdesignp.com/journal/PBES/7/6/10.26689/pbes.v7i6.9116</url><author>LiYun,WangZengqiang</author><pub-date pub-type="publication-year"><year>2024</year></pub-date><volume>7</volume><issue>6</issue><history><date date-type="pub"><published-time>2024-12-23</published-time></date></history><abstract>Given the complexity and uncertainty of logistics systems in a mass customization environment, decision-making teams often rely on linguistic phrases rather than quantifiable evaluation indices when selecting an evaluation system. This paper proposes a logistics system evaluation method based on index goal expectation. First, linguistic phrases are processed through an integration method to derive standardized weight vectors. Next, the decision-making team establishes the expected compliance degree for each alternative, which is processed using an axiomatic design to calculate the final evaluation index for each option. The options are then ranked based on these indices to identify the most appropriate logistics system. Applying this method to a company’s logistics system selection demonstrates its effectiveness and feasibility.</abstract><keywords/></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>Chen S, Zang Y, Wang L, et al., 2023, Evaluation of a Rail Logistics Transmission System for the Transportation of Blood Components Within a Medical Centre. Vox Sang, 118(11): 955–965. https://doi.org/10.1111/vox.13527</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B2" content-type="article"><label>2</label><element-citation publication-type="journal"><p>Wang ZQ, Chen ZS, Garg H, et al., 2022, An Integrated Quality-Function-Deployment and Stochastic-Dominance-Based Decision-Making Approach for Prioritizing Product Concept Alternatives. Complex &amp; Intelligent Systems, 8(3): 2541–2556. https://doi.org/10.1007/s40747-022-00681-1</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B3" content-type="article"><label>3</label><element-citation publication-type="journal"><p>Yao B, Wang H, Shao M, et al., 2022, Evaluation System of Smart Logistics Comprehensive Management Based on Hospital Data Fusion Technology. J Healthc Eng, 2022: 1490874. https://doi.org/10.1155/2022/1490874. Retraction in J Healthc Eng, 2023: 9814317. https://doi.org/10.1155/2023/9814317</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B4" content-type="article"><label>4</label><element-citation publication-type="journal"><p>Wang H, Xin YJ, Deveci M, et al., 2024, Leveraging Online Reviews and Expert Opinions for Electric Vehicle Type Prioritization. Computers &amp; Industrial Engineering, 197: 110579. https://doi.org/10.1016/j.cie.2024.110579</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B5" content-type="article"><label>5</label><element-citation publication-type="journal"><p>Chen ZS, Zhu Z, Wang XJ, et al., 2023, Multiobjective Optimization-Based Collective Opinion Generation with Fairness Concern. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 53(9): 5729–5741. https://doi.org/10.1109/TSMC.2023.3273715</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B6" content-type="article"><label>6</label><element-citation publication-type="journal"><p>Jiang W, Liu S, Li S, 2023, An Extended Cross-Efficiency Evaluation Method Based on Information Entropy with an Application to the Urban Logistics Industry. Journal of Modelling in Management, 18(2): 578–601. https://doi.org/10.1108/JM2-11-2021-0259</p><pub-id pub-id-type="doi"/></element-citation></ref></ref-list></back></article>
