Paper Title :Modeling Global Supply Chain Nervousness Using Recurrence Analysis

Author :Mahmoud Z. Mistarihi, Ghazi M. Magableh

Article Citation :Mahmoud Z. Mistarihi ,Ghazi M. Magableh , (2023 ) " Modeling Global Supply Chain Nervousness Using Recurrence Analysis " , International Journal of Mechanical and Production Engineering (IJMPE) , pp. 20-22, Volume-11,Issue-8

Abstract : Managing supply chains (SCs) in today's competitive economy is becoming increasingly difficult due to variables such as demand volatility, globalization, shorter product and technology lifespans, and an increase in logistical partners. This fear reduces the efficiency of the SC and causes doubt. This study investigates the components of global SC nervousness (GSCN) and proposes remedies such as teamwork, risk management, demand planning, sustainable SC, and technological innovation applications for a more enlightened future GSC perspective. This research paper uses a combined framework of DELPHI-FAHP and Recurrence Analysis within the Chaos theory to model and analysis the global supply chain nervousness. The anticipated results show that the best sectors for SC expansion are those that focus on demand planning, supply strategy, collaboration, risk management, and sustainable supply chain. Keywords - Supply Chain, Nervousness, DELPHI-FAHP Approach, Chaos Theory

Type : Research paper

Published : Volume-11,Issue-8

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