Integrated heuristics for scheduling multiple order jobs in a complex job shop
by Jagadish Jampani, Edward A. Pohl, Scott J. Mason, Lars Monch
International Journal of Metaheuristics (IJMHEUR), Vol. 1, No. 2, 2010

Abstract: Scheduling in semiconductor manufacturing involves numerous types of complexities, including assignment of orders to front-opening unified pods (FOUPs), assignment of FOUPs to batches, and batch processing on single or parallel machines in multiple tool-groups with re-entrant flows. Based on these features, wafer fabrication in semiconductor manufacturing is referred to as a complex job shop in the literature. Assignment of multiple customer orders to jobs/FOUPs and scheduling them in a complex job shop environment is labelled as MOJ-CJSSP (multiple orders per job complex job shop scheduling problem). In this paper, we present constraint programming (CP), ant colony optimisation (ACO), and integrated CP-ACO approaches to minimise the sum of weighted completion times of the orders in MOJ-CJSSP.

Online publication date: Mon, 19-Jul-2010

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