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An Improve Object-Oriented Approach for Multi-Objective Flexible Job-Shop Scheduling Problem (FJSP)


Affiliations
1 Department of Mathematical Sciences, Abubakar Tafawa Balewa University, Bauchi, Nigeria
 

Flexible manufacturing systems are not easy to control and it is difficult to generate controlling systems for this problem domain. Flexible job-shop scheduling problem (FJSP) is one of the instances in this domain. It is a problem which acquires the job-shop scheduling problems (JSP). FJSP has additional routing subproblem in addition to JSP. In routing sub-problem each task is assigned to a machine out of a set of capable machines. In scheduling sub-problem, the sequence of assigned operations is obtained while optimizing the objective function(s). In this work an object-oriented (OO) approach with simulated annealing algorithm is used to simulate multi-objective FJSP. Solution approaches provided in the literature generally use two-string encoding scheme to represent this problem. However, OO analysis, design and programming methodology helps to present this problem on a single encoding scheme effectively which result in a practical integration of the problem solution to manufacturing control systems where OO paradigm is frequently used. Three parameters are considered in this paper: maximum completion time, workload of the most loaded machine and total workload of all machines which are the benchmark used to show the propose system achieve effective result.

Keywords

Object-oriented Manufacturing Control, Object-Oriented Design, Multi-Objective Flexible Job Shop Scheduling, Simulated Annealing Algorithm.
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  • An Improve Object-Oriented Approach for Multi-Objective Flexible Job-Shop Scheduling Problem (FJSP)

Abstract Views: 367  |  PDF Views: 140

Authors

Bamaiyi Sule
Department of Mathematical Sciences, Abubakar Tafawa Balewa University, Bauchi, Nigeria
Ibrahim Lawal
Department of Mathematical Sciences, Abubakar Tafawa Balewa University, Bauchi, Nigeria

Abstract


Flexible manufacturing systems are not easy to control and it is difficult to generate controlling systems for this problem domain. Flexible job-shop scheduling problem (FJSP) is one of the instances in this domain. It is a problem which acquires the job-shop scheduling problems (JSP). FJSP has additional routing subproblem in addition to JSP. In routing sub-problem each task is assigned to a machine out of a set of capable machines. In scheduling sub-problem, the sequence of assigned operations is obtained while optimizing the objective function(s). In this work an object-oriented (OO) approach with simulated annealing algorithm is used to simulate multi-objective FJSP. Solution approaches provided in the literature generally use two-string encoding scheme to represent this problem. However, OO analysis, design and programming methodology helps to present this problem on a single encoding scheme effectively which result in a practical integration of the problem solution to manufacturing control systems where OO paradigm is frequently used. Three parameters are considered in this paper: maximum completion time, workload of the most loaded machine and total workload of all machines which are the benchmark used to show the propose system achieve effective result.

Keywords


Object-oriented Manufacturing Control, Object-Oriented Design, Multi-Objective Flexible Job Shop Scheduling, Simulated Annealing Algorithm.

References