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Supply Chain Efficiency and Effectiveness Management Using Decision Support Systems

Supply Chain Efficiency and Effectiveness Management Using Decision Support Systems

Xiangyi Li
Copyright: © 2022 |Volume: 15 |Issue: 5 |Pages: 16
ISSN: 1935-5726|EISSN: 1935-5734|EISBN13: 9781668469316|DOI: 10.4018/IJISSCM.304824
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MLA

Li, Xiangyi. "Supply Chain Efficiency and Effectiveness Management Using Decision Support Systems." IJISSCM vol.15, no.5 2022: pp.1-16. http://doi.org/10.4018/IJISSCM.304824

APA

Li, X. (2022). Supply Chain Efficiency and Effectiveness Management Using Decision Support Systems. International Journal of Information Systems and Supply Chain Management (IJISSCM), 15(5), 1-16. http://doi.org/10.4018/IJISSCM.304824

Chicago

Li, Xiangyi. "Supply Chain Efficiency and Effectiveness Management Using Decision Support Systems," International Journal of Information Systems and Supply Chain Management (IJISSCM) 15, no.5: 1-16. http://doi.org/10.4018/IJISSCM.304824

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Abstract

In supply chain management, decision support systems and time series forecasting play an essential role. The accuracy of time-series predictions is critical for the performance optimization of every supply chain. This article suggests a method based on state-space modelling (SSM) for structured time series forecasting. Technology and advance implementations of decision support systems (DSS) have improved considerably. DSS has been used as a more restricted functionality of the database, modelling, and user interface, although technical advances made DSS even more effective. Web development has facilitated inter-organizational decision-making support systems and has resulted in many innovative implementations of current technology and many new decision-making technologies. The study of multiple configurations shows that the SSM and DSS are ideal for solving the problem being studied; in particular, the DSS guarantees appropriate prediction errors and a correct computational effort to provide adequate customer order plans.