Subventions et des contributions :

Subvention ou bourse octroyée s'appliquant à plus d'un exercice financier. (2017-2018 à 2018-2019)

Most published articles in scheduling research are focused in developing models and algorithms to theoreticalx000D
problems having limited applications. The scheduling problem identified in the collaborating company happensx000D
to be very different from those know in literature. It involves the scheduling of a large variety of orders withx000D
greater operational complexity. Many of the operations on the products are to be processed unit by unit.x000D
However, most products also need to passes through a batch processing facility with apparent complexity tox000D
incorporate in a scheduling model. Moreover, products need both machining and assembly operations wherex000D
components and sub-assemblies need to pass through many processing stations. Some of the products havex000D
operations that are outsourced and their semi-finished inventory needs to be sent to other facilities and bex000D
returned for further in-house processing. Machine operators are limited resources. Many of these operators arex000D
cross trained and can be assigned to different types of machines. Operators may also tend more than onex000D
machine at a time. Hence their task need to be scheduled in details along the operations. Critical segments ofx000D
the manufacturing facility are operated multiple shift or overtime while the rest are operated only a single shift.x000D
These unique combination of problem features makes scheduling very difficult. Hence, the company faces ax000D
challenge in running its operations smoothly with minimal work-in-process inventory while at the same timex000D
meeting product delivery dates. A preliminary study was conducted to develop an efficient schedulingx000D
technique based on Event Scheduling/Time Advance (ESTA) algorithm. The approach proves to be capable ofx000D
handling many of the operational logic of the manufacturing facility and generate schedules for the machinesx000D
and the operators, and optimize several performance criteria. This research is a continuation of thisx000D
achievement and is aimed at enhancing the developed algorithm to incorporate several details of thex000D
manufacturing system. Moreover, a limited study will be conducted for integrating production scheduling withx000D
other operational issues such as inventory management and maintenance planning.