Identifying and ranking the effective factors of the supply chain and the role of the balance of the production line in it by using a combined decision-making approach with multiple criteria.

Subject Areas : Industrial Management

Omid Aghamoradi Bisetooni ¹ , Mehrdad Nikbakht ^{2 *} , Mohammad Reza Feylizadeh ³ , Arash Shahin ⁴

1 - Department of Industrial Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran
2 - Associate Professor of Industrial Engineering, Najafabad Branch, Islamic Azad University
3 - Associate Professor of Industrial Engineering, Faculty of Manufacturing Engineering and Industrial Technologies, Shiraz Branch, Islamic Azad University, Shiraz, Iran
4 - Full Professor, Department of Quality Management and Industrial Engineering, University of Isfahan, Isfahan, Iran

Received: 2024-12-11 Accepted : 2025-05-05 Published : 2025-05-10

Keywords: DEMATEL, Ordinal Priority approach, Production Line, Supply Chain,

Abstract :

Supply chain management operates across three levels: strategic, tactical, and operational. Strategic decisions focus on optimizing the network's structure, including design, location, and the number of facilities. Tactical decisions relate to production scheduling, inventory control, and coordinating activities among facilities, while operational decisions involve the short-term execution of these strategies. Effectively integrating and optimizing decision-making across these levels is crucial. In this context, supply chain network design is considered a strategic decision, while production line balancing is a tactical issue. Recognizing the importance of these interconnected factors, this study aims to identify and prioritize the key elements that influence both supply chain efficiency and assembly line balancing. To achieve this, a hybrid decision-making framework combining the DEMATEL method and a Sequential Prioritization approach is proposed. First, a comprehensive list of criteria affecting the supply chain is compiled; then, the DEMATEL technique is used to clarify causal relationships among these factors and to eliminate less impactful ones. After expert-based filtering of insignificant criteria, the Triby prioritization method ranks the remaining key factors. The analysis identifies assembly time, the average distance between suppliers and manufacturing facilities, and transportation costs of raw materials as the most critical factors, ranked first through third, respectively. The results offer practical managerial recommendations to improve supply chain performance through targeted interventions on these key influences.

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