This paper proposes the development of an optimization model for spare parts management during the life cycle of a physical asset. The main characteristic of the proposed model is that it is based on the principles of Activity Based Costing (ABC). The aim of this model is to allow decision makers to perform an optimal inventory policy and the correspondent parameter definitions for a series of spare parts. The model is optimized through the use of a Genetic Algorithm. A hypothetical case study is presented and discussed.
|Number of pages||6|
|State||Published - Sep 2019|
|Event||9th IFAC Conference on Manufacturing Modelling, Management and Control, MIM 2019 - Berlin, Germany|
Duration: 28 Aug 2019 → 30 Aug 2019
- Genetic Algorithms
- Inventory Control
- Spare Parts Management