This paper studies the production and coordination decisions in a closed-loop supply chain (CLSC) with one manufacturer and two competing retailers when remanufacturing costs are disrupted. We find that the pricing and production quantity decisions have certain robust regions when facing disruptions; and the more intense of competition between retailers, the smaller the robustness regions. Moreover, the manufacturer would like to adjust the production decisions when facing large size of positive or negative disruptions, while the retailers only would like to adjust them when facing large size of negative disruptions. Finally, we find that the revenue-sharing contracts can effectively coordinate the CLSCs, whereas more profits are required by retailers under large positive disruptions.
With the advent of Industry 4.0, maintenance strategy faces new demands to avoid the hysteresis of the conventional passive maintenance mode and the non-feasibility of the periodic preventive maintenance model. In view of the inherent polymorphism of manufacturing systems and with the objective of maximizing benefits, a novel cost-oriented predictive maintenance based on mission reliability state for manufacturing systems is proposed. First, the cyber-physical system is adopted to organize and analyze big data in the operational process of manufacturing systems in terms of predictive analytics in cyber manufacturing environment. Second, a new connotation of mission reliability is defined based on the big operational data to comprehensively characterize the dynamic state of the equipment health states and the qualified degree of the production task. Third, the predictive maintenance mode based on mission reliability state is quantified by the comprehensive cost, and the relationship between mission reliability and cost is established. Thereafter, costoriented dynamic predictive maintenance strategy is proposed. Finally, a case study on the maintenance decision-making problem of a cylinder head manufacturing system is presented. The final result shows that the comprehensive cost can be further reduced by the proposed method relative to the traditional periodic preventive maintenance strategy.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.