通过多准则决策技术探索药房库存分类问题的管理见解

IF 1.4 Q3 OPERATIONS RESEARCH & MANAGEMENT SCIENCE
Ahmet Bahadır Şimşek, Zekiye Göktekin, Büşra Geliç
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引用次数: 1

摘要

社区药店既是药品供应链的重要组成部分,又是典型的零售商店,其库存分类问题是当前研究的重点。尽管现有文献表明药师可能缺乏库存管理知识,但MCIC文献似乎在解释药师如何从MCDA技术的各个方面受益方面很薄弱。为了弥补这一差距,本研究旨在证明药剂师可以利用MCDA技术在库存管理的背景下获得更深入的见解,而不仅仅是分类。来自土耳其社区药房的真实世界数据使用EDAS方法进行分类。对MCDA输入项进行敏感性分析,药师可能缺乏相关信息。基于标准权重和阈值的情景发现为药剂师提供了重要的管理意义。本研究通过强调MCDA技术在支持决策方面的潜力,为社区药房库存管理的文献提供了重要贡献,而不仅仅是分类。敏感性分析还揭示了药剂师可能缺乏知识的领域,并提出了解决这些差距的方法。总的来说,该研究强调了药剂师需要对库存管理有更深入的了解,并强调了MCDA技术在应对这一挑战方面的潜在好处。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploring managerial insights through multi criteria decision making techniques in pharmacy inventory classification problem
The current research addresses the inventory classification problem of community pharmacies, which have a dual role as both a vital component of the pharmaceutical supply chain and a typical retail store. Despite the existing literature indicating that pharmacists may lack knowledge on inventory management, it seems that the MCIC literature is weak in explaining how pharmacists can benefit from MCDA techniques in all aspects. To bridge this gap, the study aims to demonstrate that pharmacists can utilize MCDA techniques to gain deeper insights beyond mere classification in the context of inventory management. Real-world data from a community pharmacy in Turkey was classified using the EDAS method. Sensitivity analysis was performed for MCDA inputs, about which pharmacists may lack information. Scenario findings based on criterion weights and threshold values offer important managerial implications for pharmacists. This study provides a critical contribution to the literature on inventory management in community pharmacies by highlighting the potential of MCDA techniques to support decision-making beyond mere classification. The sensitivity analysis also sheds light on areas where pharmacists may lack knowledge and suggests ways to address these gaps. Overall, the study underscores the need for pharmacists to have a deeper understanding of inventory management and highlights the potential benefits of MCDA techniques in addressing this challenge.
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来源期刊
Decision Science Letters
Decision Science Letters Decision Sciences-Decision Sciences (all)
CiteScore
3.40
自引率
5.30%
发文量
49
审稿时长
20 weeks
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