1,720,961 research outputs found
Service parts inventory management with space and budget limitations: repair kit dimensioning
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Improving service parts inventory management for technological products. A simulation-based case study
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Spare parts classification and inventory management in durable goods industries. An empirical case study.
No full textEmpirically-driven hierarchical classification of stock keeping units
No full textThis paper proposes a hierarchical multi-criteria classification method developed for inventory management purposes and applied in a case study of the spare parts business of a household appliance manufacturer. The classification method is built on the basis of SIX dimensions, resulting in 12 different classes of spare parts, for which differentiated forecasting and inventory policies are proposed and tested. The results of our simulation study demonstrate the reduction of the total logistics costs by about 20% whilst still achieving the specified target service level for each class. Even more importantly, the proposed approach is simple enough to be understood and applied by company managers, thus increasing the probability of its adoption (in the same or similar fashion) in other real world setting
SPARE PARTS CLASSIFICATION AND INVENTORY MANAGEMENT: A CASE STUDY
No full textThe aim of this paper is to propose and discuss a hierarchical multi-criteria spare parts classification method developed for inventory management purposes and tested through an intensive case study in an Italian household appliances manufacturing company. In particular, the classification scheme under concern is built on the basis of several key dimensions in an almost hierarchical fashion, resulting in 12 different classes of spare parts, for which varying forecasting and inventory methods are proposed and tested. The results of our
simulation study demonstrate the reduction of the total logistics costs by about 20% whilst the service target level is achieved for each of the classes. Even more importantly, the proposed approach is simple and straightforward enough to be understood by company managers, thus increasing the probability of its adoption (in the same or similar form) in other real world settings
A model and solution algorithm for the Repair Kit Problem: An empirical application
No full textCompanies selling durable goods should guarantee their availability for the whole lifecycle. When on-site maintenance is required, as in several cases ranging from washing machines to large-sized machineries, field service engineers carry a stock of service parts in their vehicles to carry out repair interventions. The Repair Kit Problem (RKP) aims at determining the stock of service parts to be carried on the vehicles in order to optimize costs and/or customer service level.
A literature review highlights that the models developed so far tend to neglect features that are important for practitioners. We propose a deterministic mathematical formulation of the RKP, where the objective function minimizes inventory holding, ordering, delivery and shortage costs subject to budget and service level constraints. We solve to optimality the problem on a set of real instances for the case of a multinational firm that needs to determine the stock of service parts for each of its field engineers. A discrete event simulation model is then developed to test ex-post the performance of the model on actual data. Preliminary results of the application are presented and discussed in the paper
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