Machine scheduling for multitask machining

Subject Areas : Business and Marketing

Saleh  Yavari ¹ (401 Sunset Ave., University of Windsor, dept. of IMSE)
Ahmed  Azab ² (Department of mechanical, automotive and materials engineering, University of Windsor,)
Mohammed Fazle  Baki ³ (Odette School of Business)
Mikel  Alcelay ⁴ (INP-ENSIACET)
Justin  Britt ⁵ (401 Sunset Ave., University of Windsor, dept. of IMSE)

Received: 2019-05-28 Accepted : 2020-03-12 Published : 2020-12-01

Keywords: Scheduling, Simulated Annealing, Mixed integer linear programming, Parallel machining, Multitasking, Mill-turn,

Abstract :

Multitasking is an important part of today’s manufacturing plants. Multitask machine tools are capable of processing multiple operations at the same time by applying a different set of part and tool holding devices. Mill-turns are multitask machines with the ability to perform a variety of operations with considerable accuracy and agility. One critical factor in simultaneous machining is to create a schedule for different operations to be completed in minimum make-span. A Mixed Integer Linear Programming (MILP) model is developed to address the machine scheduling problem. The adopted assumptions are more realistic when compared with the previous models. The model allows for processing multiple operations simultaneously on a single part; parts are being processed on the same setup and multiple turrets can process a single operation of a single job simultaneously performing multiple depths of cut. A Simulated Annealing algorithm with a novel initial solution and assignment approach is developed to solve large instances of the problem.

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