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Supply Chain Efficiency and Effectiveness Management: Decision Support Systems

Supply Chain Efficiency and Effectiveness Management: Decision Support Systems

Qingwei Yin, Qian Tian
Copyright: © 2022 |Volume: 15 |Issue: 5 |Pages: 16
ISSN: 1935-5726|EISSN: 1935-5734|EISBN13: 9781668469316|DOI: 10.4018/IJISSCM.304825
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MLA

Yin, Qingwei, and Qian Tian. "Supply Chain Efficiency and Effectiveness Management: Decision Support Systems." IJISSCM vol.15, no.5 2022: pp.1-16. http://doi.org/10.4018/IJISSCM.304825

APA

Yin, Q. & Tian, Q. (2022). Supply Chain Efficiency and Effectiveness Management: Decision Support Systems. International Journal of Information Systems and Supply Chain Management (IJISSCM), 15(5), 1-16. http://doi.org/10.4018/IJISSCM.304825

Chicago

Yin, Qingwei, and Qian Tian. "Supply Chain Efficiency and Effectiveness Management: Decision Support Systems," International Journal of Information Systems and Supply Chain Management (IJISSCM) 15, no.5: 1-16. http://doi.org/10.4018/IJISSCM.304825

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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.