Dynamic Modeling of Perishable Resources in Competitive Attrition Scenarios: A Case Study in the Automotive Sector

Subject Areas : International Journal of Industrial Mathematics

Hadi Ziaei ^{1 *}

1 - گروه ریاضی، دانشکده علوم ریاضی و آمار، دانشگاه بیرجند، ایران

Received: 2025-05-27 Accepted : 2025-08-20 Published : 2025-11-24

Keywords: dynamic Modeling, perishable Resources, competitive Attrition, automotive Sector, resource Allocation,

Abstract :

This study explores the dynamic modeling of perishable resources in highly dynamic and competitive attrition scenarios, placing particular emphasis on the challenges faced within the automotive sector. As the industry faces increasing pressure to optimize resource allocation amidst fluctuating demand and intense competition, understanding the lifecycle of perishable resources becomes critical. The research proposes a novel framework that integrates dynamic modeling techniques to simulate the allocation and utilization of resources under competitive attrition. Moreover, the model incorporates feedback loops to reflect real-time adjustments in strategic decision-making under uncertainty. By analyzing real-world data from the automotive sector, the study identifies key factors influencing resource degradation and competitive dynamics. The findings offer actionable insights for decision-makers to enhance resource efficiency, reduce waste, and maintain a competitive edge. This paper contributes to the broader discourse on sustainable resource management in high-stakes industries, providing a scalable model applicable beyond the automotive sector.

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