A COVID-19 Supply Chain Management Strategy Based on Variable Production under Uncertain Environment Conditions

The management of a controllable production in the manufacturing system is essential to achieve viable advantages, particularly during emergency conditions. Disasters, either man-made or natural, affect and supply chains negatively with perilous effects. On other hand, flexibility resilience manage perpetuated risks are vital for achieving rate. Still, these performances strongly dependent on multi-criteria decision making working environment policies launched crisis. Undoubtedly, health stability society generates ripple effects chain due high demand fluctuation, likewise Coronavirus disease-2019 (COVID-19) pandemic. Incorporation factors risk from uncertainty this pandemic has been challenge profit partners. A non-linear model developed rate provide an economic benefit firm terms optimized total cost deal different situations under variable demand. costs set as fuzzy cope up uncertain conditions created by lasting numerical experiment performed utilizing data multi-stage firm. optimal results support industrial managers based proactive plan utilization resources emergencies