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A COVID-19 Supply Chain Management Strategy Based on Variable Production under Uncertain Environment Conditions
Mohammed Alkahtani1,2, Muhammad Omair3, Qazi Salman Khalid3
1Industrial Engineering Department, College of Engineering, King Saud University, Riyadh 11421, Saudi Arabia.
Manufacturing firms need flexible production to manage supply chain risks during emergencies like pandemics. This study presents a model for controllable production rates and optimized costs to ensure economic viability and resilience.
Area of Science:
- Operations Research
- Supply Chain Management
- Manufacturing Systems
Background:
- Manufacturing systems face significant disruptions from emergencies, impacting production and supply chains.
- The COVID-19 pandemic highlighted the need for resilience and adaptability in supply chains due to demand fluctuations.
- Managing risks and uncertainty is crucial for maintaining controllable production and achieving economic benefits.
Purpose of the Study:
- To develop a non-linear supply chain management model with a controllable production rate.
- To optimize the total cost of production and provide economic benefits to manufacturing firms.
- To address challenges posed by uncertain demand and crisis situations, particularly during pandemics.
Main Methods:
- Development of a non-linear supply chain management model.
- Incorporation of fuzzy cost parameters to handle uncertainty.
- Utilization of a numerical experiment with a multi-stage manufacturing firm's data.
Main Results:
- The model provides a controllable production rate for economic benefits.
- Optimized total production costs are achieved, enhancing profitability.
- The fuzzy cost approach effectively manages uncertainty in pandemic-like conditions.
Conclusions:
- The developed model supports industrial managers in proactive planning and resource utilization.
- Controllable production rates are vital for coping with emergencies and ensuring business continuity.
- The study offers a framework for enhancing manufacturing resilience in volatile environments.
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