Abstract
For the repair level and spare parts stocking problems, generally METRIC type methods and Level of repair analysis (LORA) are used separately. Since LORA does not consider the availability of capital goods, solving LORA and spare parts stocking problems sequentially may lead to suboptimal solutions. On these considerations, this study presents a joint optimization method to minimize the service logistics cost under the constraints of system availability. Maintenance capability factor and maintenance decisions are introduced into the joint optimization model to express the influence of multiple failure modes on repair level and spare parts stocking. Thus, we establish the bridge relationship between LORA and METRIC models. The joint optimization model is solved by an improved iterative algorithm, and a typical fleet system is taken as an example to verify the correctness and effectiveness of the model and the algorithm. Compared with the optimization of spare parts inventory and maintenance level independently, the joint optimization method could effectively reduce the service logistic system cost.
Highlights
This section describes the characteristics of the fleet system and service logistics sysThis sectiontodescribes theresearch, characteristics of the fleet system and service logisticsthe system
Based on the above service logistics model, a two-echelon two-indenture nonlinea joint optimization model of fleet system is constructed by introducing multiple failur modes and discard decision
Based on the above service logistics model, a two-echelon two-indenture nonlinear joint optimization model of fleet system is constructed by introducing multiple failure modes and discard decision
Summary
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. A well-known method to solve the inventory dynamic change problem is (VARI-)METRIC [26,27], which is a greedy heuristic that is known to find solutions that are close to optimal, such as Feng et al build a single-echelon multi-indenture joint optimization model by considering the ratio of maintenance decisions (repair, move to repair, discard) [28]. Current research shows that joint optimization has more advantages in cost saving than single optimization, the lack of comprehensive analysis of maintenance capability and maintenance decisions would result in a solution that is not optimal Given these antecedents, a new two-echelon two-indenture nonlinear joint optimization model for a fleet system is built in this study. An economic and effective service logistics system optimal method can be established to ensure the long-term and stable economic operation of the fleet system
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