Supply Chain Efficiency and Effectiveness Management: Decision Support Systems

IF 0.9 Q4 MANAGEMENT
Qingwei Yin, Qian Tian
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引用次数: 1

Abstract

The optimal productivity model plays a significant role in various supply chain management (SCM) decision support systems. Therefore, the precision of the optimal productivity model is necessary to improve SCM's effectiveness. A factor often ignored is that transactions of certain goods are assembled within an enterprise as dynamic structures of various distribution ratios. Regardless of such structure, optimal model productivity is often produced; however, the productivity model's optimal precision can be enhanced by taking it into account. This focusses on strategic thinking and planning, where various process improvement mechanisms are developed. Therefore, in this study, data envelopment analysis (DEA) has been utilized to enhance supply chain efficiency and effectiveness management. This paper explores an optimal productivity model that evaluates the supply chain efficiency and effectiveness management. This paper discusses the policy preparation demands of the decision support systems and develops a framework that organisations can use to control the implementation process.
供应链效率和有效性管理:决策支持系统
最优生产率模型在各种供应链管理决策支持系统中起着重要的作用。因此,优化生产率模型的精度是提高供应链管理效率的必要条件。一个经常被忽视的因素是,某些商品的交易是在企业内部以各种分配比例的动态结构组合起来的。无论这种结构如何,通常都会产生最优模型生产率;然而,考虑到这一点可以提高生产率模型的最优精度。这集中在战略思考和计划上,其中开发了各种过程改进机制。因此,本研究利用数据包络分析(DEA)来加强供应链效率和有效性管理。本文探讨了一个评估供应链效率和有效性管理的最优生产率模型。本文讨论了决策支持系统的政策准备需求,并开发了一个组织可以用来控制实施过程的框架。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
1.90
自引率
43.80%
发文量
59
期刊介绍: The International Journal of Information Systems and Supply Chain Management (IJISSCM) provides a practical and comprehensive forum for exchanging novel research ideas or down-to-earth practices which bridge the latest information technology and supply chain management. IJISSCM encourages submissions on how various information systems improve supply chain management, as well as how the advancement of supply chain management tools affects the information systems growth. The aim of this journal is to bring together the expertise of people who have worked with supply chain management across the world for people in the field of information systems.
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