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Abstract

The presence of the spare parts stock is a necessity to ensure the continuity of services. The supply of spare parts is a special case of the global supply chain. The main objective of our research is to propose a global spare parts management approach which allows decision makers to determine the essential points in stock management. Thus, it is important for the stock manager to evaluate the system considered from time to time based on performance indicators. Some of these indicators are presented in the form of a dashboard. The presentation of this chapter chronologically traces the progress of our research work. In the first part, we present the work related to the forecast of spare parts needs through parametric and statistical methods as well as a Bayesian modelling of demand forecasting. To measure the appreciation of the supply of spare parts inventory, the second part focuses on work related to the evaluation of the performance of the spare parts system. Thus, we concretize the link between the management of spare parts and maintenance in the third part, more precisely, in the performance evaluation of the joint -management of spare parts and maintenance, in order to visualize the influence of parameters on the system. In the last section of this chapter, we will present the metaheuristic methods and their use in the management of spare parts and maintenance and make an analysis on work done in the literature.
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Authors and Affiliations

Oumaima Bounou
1
Abdellah El Barkany
1
Ahmed El Biyaali
1

  1. Mechanical Engineering Laboratory, Faculty of Science and Techniques, Morocco
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Abstract

This paper reports a new multi-item planning and scheduling problem in a job-shop production

system with the consideration of energy consumption. A mixed integer linear programming

is proposed to integrate planning and scheduling with the consideration of energy

aspect. In this study a new operational constraint is considered in the tactical level because

of the huge interest given to energy consumption and its strong link existing with production

system. To evaluate the performance of this model, computational experiments are

presented, and numerical results are given using the software CPLEX and then discussed.

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Authors and Affiliations

Zineb Ibn Majdoub Hassani
Abdellah El Barkany
Ikram El Abbassi
Abdelouahhab Jabri
Abdel Moumen Darcherif

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