This paper studies the coordination issue of a supply chain consisting of one retailer and two suppliers, amain supplier and a backup supplier. The main supplier’s yield is subject to disruption and the retailer faces a random demand. We determine the retailer’s optimal ordering policy and the main supplier’s production quantity that maximize expected profit of the centralized supply chain. We ...

This study proposes a bi-objective mixed possibilistic, two-stage stochastic programming model to address supplier selection and order allocation problem to build the resilient supply base under operational and disruption risks. The model accounts for epistemic uncertainty of critical data and applies several proactive strategies such as suppliers’ business continuity plans, fortification of su...

Since 2020, supply chain disruptions have emerged as an ever-present challenge. This research provides a glimpse into the organizational structures that develop resilience and market performance amid continuous disruptions. Utilizing psychosomatic variables empirical modeling, model was constructed through review of extant literature tested with PLS-SEM analysis. Uniquely, this is framed stimul...

Effective and flexible procurement production strategies are capable of alleviating mitigating supply disruption demand risk. Considering the price fluctuation caused by environmental change, we investigate optimal under uncertainty based on option contract in a two-stage chain consisting retailer who has two opportunities supplier emergency chance. We explore value comparing it with decision m...

In multi-echelon inventory systems the performance of a given node is affected by events that occur at many other nodes and in many other time periods. For example, a supply disruption upstream will have an effect on downstream, customer-facing nodes several periods later as the disruption "cascades" through the system. There is very little research on stock-out prediction in single-echelon sys...