服装供应链中RFID战略价值属性机制决策的集成——模糊AHP-TOPSIS方法

IF 1.8 Q3 MANAGEMENT

Journal of Modelling in Management Pub Date : 2023-04-27 DOI:10.1108/jm2-11-2021-0283

Mukesh Kumar

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引用次数: 1

摘要

目的本文的目的是确定射频识别（RFID）战略价值属性（RFIDSVAs）机制选择偏好，以及RFID标签与技术协调工具（IRTWTCTs）替代品的集成，以在供应链管理（SCM）中排名性能决策。RFID技术经济可行性决策正在提高服装供应链中供应链的可见性。RFIDSVA机制的选择对战略竞争优势表现出了显著的灵活性，即库存可见性、可信第三方内的多标签所有权转移，等。设计/方法/方法模糊层次分析法（FAHP）和理想解相似优选顺序的FAHP模糊技术（FTOPSIS）方法已用于评估ASC网络中基于权重优先顺序的RFIDSVA机制选择决策和IRTWTCTs备选方案选择的定量评估。FAHP和FAHP-FTOPSIS方法的比较，以评估印度多层ASC网络中RFIDSVA机制和IRTWTCT备选方案选择决策中制定的综合框架。结果发现，FAHP-FTOPSIS方法已用于确定RFIDSVA机制选择权重的优先级，并确定服装供应链管理中IRTWTCTs替代品的排序偏好顺序。FAHP和FAHP-FTOPSIS方法对RFIDSVA机制和IRTWTCT备选方案选择决策的定量评估进行了比较，这使它们在ASC网络中具有跨多层可见性的SC灵活性潜力。ASC的利益相关者可以从技术经济可行性决策、支持RFID的车间活动、SC中的多标签所有权转移以及SC中基于知识的加密标签/物品分离中受益。研究局限性/含义研究工作只考虑了五种RFIDSVA机制，以及多层ASC中RFIDTWTCT替代品的三种集成。战略竞争优势通过RFID实现的盈亏平衡标签价格决策以及合同设计多层SC利益相关者参与的技术经济可行性决策来实现。实际意义试点项目研究探索了基于RFID的定量评估决策在ASC中的技术经济可行性。利益相关者可以从财务损失的库存控制中受益，减少ASC网络中可信赖的第三方可追溯性中的库存不准确和多标签所有权转移。独创性/价值本研究探讨了RFID支持的服装SC流程和活动可见性（天然纤维的纤维生产商、纤维染色生产商、纺纱生产商、针织和精加工生产商）。

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Integration of RFID strategic value attributes mechanism decision in apparel supply chain: fuzzy AHP-TOPSIS approach

Purpose The purpose of this paper is to identify the radio frequency identification (RFID) strategic value attributes (RFIDSVAs) mechanism selections preferences and also integration of RFID tags with technology coordination tools (IRTWTCTs) alternatives ranking performance decisions in supply chain management (SCM). RFID-enabled techno-economic feasibility decisions are enhancing the SC visibility in apparel supply chains (ASCs). The RFIDSVAs mechanism selections have performed significant agility to strategic competitive advantages, namely, inventory visibility, multi-tags ownership transfer within trusted third party, etc. Design/methodology/approach Fuzzy analytical hierarchy process (FAHP) and FAHP-fuzzy Technique for Order of Preference by Similarity to Ideal Solution (FTOPSIS) approaches have been used to evaluate the quantitative assessment of RFIDSVA mechanisms selection decision based on weight priority orders and IRTWTCTs alternatives selection in ASC networks. The comparison of FAHP and FAHP-FTOPSIS approaches to evaluate the integrated framework develop in RFIDSVAs mechanisms and IRTWTCTs alternatives selection decisions in Indian multi-tier ASC networks. Findings The result found that the FAHP-FTOPSIS approaches have used to prioritizing the RFIDSVA mechanism selection weights and also identify the IRTWTCTs alternatives ranking preferences order in apparel SCM. The comparison between the FAHP and FAHP-FTOPSIS approach to quantitative assessments from RFIDSVA mechanisms and IRTWTCTs alternatives selection decisions, which enable them SC agility potential across multi-tier visibility in ASC networks. ASC stakeholders can be benefited by techno-economic feasibility decisions, RFID-enabled shop floor activities, multi-tags ownerships transfer in SCs and knowledge-based cryptography tags/items separation in SCs. Research limitations/implications The research work has considered only five RFIDSVA mechanisms and also three integration of RFIDTWTCTs alternatives in multi-tier ASC. The strategic competitive advantages are achieved by RFID-enabled break-even tags price decisions and also techno-economic feasibility decision by contractual design multi-tier SC stakeholder’s involvements. Practical implications The pilot project study explores that the quantitative assessment decision has based on RFID-enable techno-economic feasibility in ASCs. Stakeholders can be benefited by inventory control of the financial losses, reducing the inventory inaccuracies and multi-tags ownership transfer within trusted third-party traceability in ASC networks. Originality/value This study explores the RFID-enabled apparel SC process and activities visibility (natural fibre’s fibre producer, fibre dyeing producer, yarn spinning producer, knitting and finishing producer).

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来源期刊

Journal of Modelling in Management MANAGEMENT-

CiteScore

5.50

自引率

12.50%

发文量

期刊介绍： Journal of Modelling in Management (JM2) provides a forum for academics and researchers with a strong interest in business and management modelling. The journal analyses the conceptual antecedents and theoretical underpinnings leading to research modelling processes which derive useful consequences in terms of management science, business and management implementation and applications. JM2 is focused on the utilization of management data, which is amenable to research modelling processes, and welcomes academic papers that not only encompass the whole research process (from conceptualization to managerial implications) but also make explicit the individual links between ''antecedents and modelling'' (how to tackle certain problems) and ''modelling and consequences'' (how to apply the models and draw appropriate conclusions). The journal is particularly interested in innovative methodological and statistical modelling processes and those models that result in clear and justified managerial decisions. JM2 specifically promotes and supports research writing, that engages in an academically rigorous manner, in areas related to research modelling such as: A priori theorizing conceptual models, Artificial intelligence, machine learning, Association rule mining, clustering, feature selection, Business analytics: Descriptive, Predictive, and Prescriptive Analytics, Causal analytics: structural equation modeling, partial least squares modeling, Computable general equilibrium models, Computer-based models, Data mining, data analytics with big data, Decision support systems and business intelligence, Econometric models, Fuzzy logic modeling, Generalized linear models, Multi-attribute decision-making models, Non-linear models, Optimization, Simulation models, Statistical decision models, Statistical inference making and probabilistic modeling, Text mining, web mining, and visual analytics, Uncertainty-based reasoning models.