Development and Practical Application of Hybrid Decision-Making Model for Selection of Third-Party Logistics Service Providers

IF 1.1 Q3 TRANSPORTATION SCIENCE & TECHNOLOGY Transport and Telecommunication Journal Pub Date : 2023-11-01 DOI:10.2478/ttj-2023-0035
Aleksandrs Kotļars, V. Skribans
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Abstract

Abstract In this study a problematic of logistics service provider selection is discussed. Traditional decision-making techniques are functionally limited and must be adjusted. Modern approach must be based on contemporary tools and information. The aim of this study is to develop a modern, industry-oriented decision-making model for selection of strategic logistics service providers. Main tasks of this study include: to perform critical analysis and comparison of multiple-criteria decision-making methods; to adapt decision-making framework for specific needs of selection of third-party logistics service providers; to collect and analyze industry data related to procurement projects; to develop modern decision-making model for selection of logistics service providers; to perform practical application of developed decision-making model based on collected industry data. The key novelties of this study are developed methodology for collection of industry data for decision-making process, developed hybrid decision-making model for selection of third-party logistics service provider, as well as application of the model. As the result, there is developed decision-making model for selection of 3PL service providers that includes 6 steps.
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用于选择第三方物流服务提供商的混合决策模型的开发与实际应用
摘要 本研究讨论了物流服务供应商选择问题。传统的决策技术功能有限,必须加以调整。现代方法必须以现代工具和信息为基础。本研究的目的是为选择战略物流服务提供商开发一个面向行业的现代决策模型。本研究的主要任务包括:对多重标准决策方法进行批判性分析和比较;根据选择第三方物流服务提供商的具体需求调整决策框架;收集和分析与采购项目相关的行业数据;开发选择物流服务提供商的现代决策模型;根据收集的行业数据对开发的决策模型进行实际应用。本研究的主要创新点包括:开发了用于决策过程的行业数据收集方法;开发了用于选择第三方物流服务提供商的混合决策模型;以及模型的应用。结果,开发出了选择第三方物流服务提供商的决策模型,包括 6 个步骤。
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来源期刊
Transport and Telecommunication Journal
Transport and Telecommunication Journal TRANSPORTATION SCIENCE & TECHNOLOGY-
CiteScore
3.00
自引率
0.00%
发文量
21
审稿时长
35 weeks
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