In this article we present an industrial application of our mathematical model that integrates

planning and scheduling. Our main objective is to concretize our model and compare the

reel results with the theoretical ones. Our application is realized on a conditioning line of

pharmaceutical products at the ECAM EPMI production laboratory. For this reason and to

save time, we used Witness simulation tool. It gives an overall idea of how the line works,

the Makespan of each simulation and it highlights areas for improvement. We looked for

the best resulting sequence which corresponds to the minest Makespan and total production

cost. Then this sequence is applied on the conditioning line of pharmaceutical products for

simulation. On the other hand, we program our mathematical model with the parameters of

the conditioning line under python in version 3.6 and we adopt a simulation/optimization

coupling approach to verify our model.

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.