Flexible Assembly Job-Shop Scheduling With Sequence-Dependent Setup Times and Part Sharing in a Dynamic Environment: Constraint Programming Model, Mixed-Integer Programming Model, and Dispatching Rules
This paper studies the flexible assembly job-shop scheduling problem in a dynamic manufacturing environment, which is an exension of job-shop scheduling with incorporation of serveral types of flexibilies and integration of an assembly stage. Each product is assembled from several parts with nonline...
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| Vydáno v: | IEEE transactions on engineering management Ročník 65; číslo 3; s. 487 - 504 |
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| Hlavní autoři: | , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
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New York
IEEE
01.08.2018
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
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| ISSN: | 0018-9391, 1558-0040 |
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| Abstract | This paper studies the flexible assembly job-shop scheduling problem in a dynamic manufacturing environment, which is an exension of job-shop scheduling with incorporation of serveral types of flexibilies and integration of an assembly stage. Each product is assembled from several parts with nonlinear process plans with operations involving alternative machines. Setup times are sequence dependent and serparately considered from processing times. Part sharing is fully allowed such that they can be used for the assembly of any possible product, rather than being preassociated to a specfic product. We employ constraint programming and mixed-integer linear programming to formulate the problem. Besides, several dispatching rules with machine feedback machanism are developped. Experimental studies are conducted based on test case problems with different scales and complexities. It is found that constraint programming is the most efficacious approach, whose solution fitness outperforms mixed-integer linear programming as well as all dispatching rules in both static and dynamic cases. On the other hand, dispatching rules are simple to implement, among which the "earliest completion time" rule is the most favourable. A real-time scheduling/rescheduling system has been constructed for the implementation of the proposed approaches to solve practical problems in production. |
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| AbstractList | This paper studies the flexible assembly job-shop scheduling problem in a dynamic manufacturing environment, which is an exension of job-shop scheduling with incorporation of serveral types of flexibilies and integration of an assembly stage. Each product is assembled from several parts with nonlinear process plans with operations involving alternative machines. Setup times are sequence dependent and serparately considered from processing times. Part sharing is fully allowed such that they can be used for the assembly of any possible product, rather than being preassociated to a specfic product. We employ constraint programming and mixed-integer linear programming to formulate the problem. Besides, several dispatching rules with machine feedback machanism are developped. Experimental studies are conducted based on test case problems with different scales and complexities. It is found that constraint programming is the most efficacious approach, whose solution fitness outperforms mixed-integer linear programming as well as all dispatching rules in both static and dynamic cases. On the other hand, dispatching rules are simple to implement, among which the “earliest completion time” rule is the most favourable. A real-time scheduling/rescheduling system has been constructed for the implementation of the proposed approaches to solve practical problems in production. |
| Author | Zhang, Sicheng Wang, Shouyang |
| Author_xml | – sequence: 1 givenname: Sicheng orcidid: 0000-0001-7098-1834 surname: Zhang fullname: Zhang, Sicheng email: sczhang@amss.ac.cn organization: Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, China – sequence: 2 givenname: Shouyang surname: Wang fullname: Wang, Shouyang email: sywang@amss.ac.cn organization: Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Institute of Systems Science, Beijing, China |
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| SubjectTerms | Assembly Assembly job-shop scheduling Completion time Constraint modelling constraint programming (CP) Dispatching Dispatching rules Dynamic programming Dynamic scheduling Fitness flexible job-shop scheduling Genetic algorithms Integer programming Job shop scheduling Job shops Linear programming Machining mixed-integer linear programming (MILP) Production scheduling Rescheduling Scheduling Sequential scheduling Setup times |
| Title | Flexible Assembly Job-Shop Scheduling With Sequence-Dependent Setup Times and Part Sharing in a Dynamic Environment: Constraint Programming Model, Mixed-Integer Programming Model, and Dispatching Rules |
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