Weighing Efficiency-Robustness In Supply Chain Disruption

Supply chain disruptions led by unexpected events bring serious influence to the safety of people and property, enterprise and nation, it sometimes makes people difficult to accept and cannot be compensated. At the same time, emergency situations are difficult to predict and cannot be timely prevention, but this does not become a pretext to ignore it. To establish a small enterprise supply chain and to build a large transportation network throughout the country should be the emergencies taken into account, otherwise, a little disaster could lead to overall supply chain or network crash. Despite calls for the design and operation of flexible supply chain, there are little analysis of the impact of disruption on supply chain performance and little effective supply chain disruptions model. Supply chain disruptions, both potential and actual, all is the enemy of all companies. In view of this, research on the production optimization of supply chain disruption has very important theoretical significance and practical value to improve the competitiveness of enterprises.This paper investigates various supply chain disruptions in terms of scenario planning, including node disruption and chain disruption, namely, disruptions in distribution centers and disruptions between manufacturing centers and distribution centers. Meanwhile, it also focuses on the simultaneous disruption on one node or a number of nodes, simultaneous disruption in one chain or a number of chains and the corresponding mathematical models and exemplification in relation to numerous manufacturing centers and diverse products. Robustness of the design of the supply chain network is examined by weighing efficiency against robustness during supply chain disruptions. Efficiency is represented by operating cost; robustness is indicated by the expected disruption cost and the weighing issue is calculated by the multi-objective firefly algorithm for consistency in the results.It has been shown that the total cost achieved by the optimal target function is lower than that at the most effective time of supply chains. In other words, the decrease of expected disruption cost by improving robustness in supply chains is greater than the increase of operating cost by reducing efficiency, thus leading to cost advantage. Consequently, by approximating the Pareto Front Chart of weighing between efficiency and robustness, enterprises can choose appropriate efficiency and robustness for their longer-term development.