Resilience-Based Restoration Model for Supply Chain Networks

Abstract

An optimal restoration strategy for supply chain networks can efficiently schedule the repair activities under resource limits. However, a wide range of previous studies solve this problem from the perspective of cost-effectiveness instead of a resilient manner. This research formulates the problem as a network maximum-resilience decision. We develop two metrics to measure the resilience of the supply chain networks, i.e., the resilience of cumulative performance loss and the resilience of restoration rapidity. Then, we propose a bi-objective nonlinear programming model, which aims to maximize the network resilience under the budget and manpower constraints. A modified simulated annealing algorithm is employed to solve the model. Finally, a testing supply chain network is utilized to illustrate the effectiveness of the proposed method framework. The results show that the optimal restoration schedule generated by the proposed model is a tradeoff between the cumulative performance loss and the restoration rapidity. Additionally, the sensitivity analysis of parameters indicates that decision-maker’s preference, tolerance factor of delivery time, number of work crews, and availability of budget all have significant impacts on the restoration schedule.

How digitalization in banking improve service supply chain resilience of e-commerce sector? a technological adoption model approach

“…A clear understanding of “Efficiency (F1)”, “Perceived Usefulness (F2)”, and “E-service quality (F3)” by the e-commerce organizations will help in achieving “E-cost effectiveness (F5)”, “Perceived ease of use (F6),” and “Reliability (F7)”. The study conducted by Wong et al ( 2020a ) and Mao et al ( 2020 ) also support our research findings. This will support service resilience through digital banking in achieving “E-responsiveness (F11)”.…”

Role of Absorptive Capacity, Digital Capability, Agility, and Resilience in Supply Chain Innovation Performance

“…The absorptive capacity (ACAP) is an organization's ability to absorb, integrate, convert, and apply external information for innovation, adaptability, and performance [15,16]. Much of the value created via information technology stems from its integration with other corporate sources and processes [17]. Thus, information technology competence fosters organizational agility via ACAP [15].…”

Supply Chain Elastic Strain

“…Strategies centered on elasticity recovery have been designed in response to supply chain interruption. These encompass the design of models tailored for supply chain re-establishment, the erection of closed-loop supply chains fortified against external disruptions, and the enhancement of performance in the problematic segments of the chain, aiming to elevate the supply chain's recuperative capacity and hasten recovery timelines [31][32][33]. Developing supply chain strategies based on complementary resilience [34], along with developing supply chain resilience strategies from strategic and operational perspectives, to mitigate or alleviate supply chain risks [35] also underscores a significant research trajectory in supply chain elasticity strategy.…”