Towards a Scheduling Optimization Support Tool for a Perfume Manufacturing Process
Abstract
The satisfaction of an increasingly personalized and unpredictable demand that certain companies are experiencing demand flexible production systems. The large number and complexity of the parameters to be taken into account most often require a scheduling support system to meet delivery times and optimize the use of resources. We present the industrial and research issues then a synthesis of the state of the art on the different types of scheduling problems. We chose a simulation approach for our scheduling tool. After defining the specifications of the scheduling tool and how the corresponding industrial data have been collected, the RFLP (Requirements, Functional, Logical and Physical) models of the perfume manufacturing case study on which the scheduling support will be based, are then presented.
Domains
Engineering Sciences [physics]| Origin | Files produced by the author(s) |
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