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Intelligent simulation‐based scheduling of workcells: an approach

Tan Hock Soon (SPL WorldGroup (S) Pte Ltd, Singapore)
Robert de Souza School (Robert de Souza School of Mechanical and Production Engineering, Nanyang Technological University, Singapore)

Integrated Manufacturing Systems

ISSN: 0957-6061

Article publication date: 1 February 1997


In recent years, many firms have rediscovered the importance of scheduling on the shopfloor. Within the manufacturing functions, scheduling remains among the most important and challenging tasks that must be performed routinely. Developing a schedule involves designating the resources needed to execute each operation of the process routeing plan and assigning the times at which each operation in the routeing will start and finish execution. The trend of current scheduling technology is towards a combination of the three common approaches; OR‐based, simulation‐based and AI‐based. Presents a hybrid approach using simulation‐based scheduling and a neural network to solve the detailed scheduling problem. Develops the neural network to analyse the complex information as well as orders coming on the shopfloor, and suggests candidate scheduling rules to the simulation model. The simulation model then uses the rules to schedule the orders on hand. The work is set against a backdrop of a currently operating flexible manufacturing cell.



Hock Soon, T. and de Souza School, R. (1997), "Intelligent simulation‐based scheduling of workcells: an approach", Integrated Manufacturing Systems, Vol. 8 No. 1, pp. 6-23.




Copyright © 1997, MCB UP Limited