A mixed-integer linear programming model for integrated production and preventive maintenance scheduling in the capital goods industry
The scheduling literature is extensive, but much of this work is theoretical and does not capture the complexity of real world systems. Capital goods companies produce products with deep and complex product structures, each of which requires the coordination of jobbing, batch, flow and assembly proc...
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| Veröffentlicht in: | International journal of production research Jg. 57; H. 1; S. 61 - 82 |
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| Format: | Journal Article |
| Sprache: | Englisch |
| Veröffentlicht: |
London
Taylor & Francis
02.01.2019
Taylor & Francis LLC |
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| ISSN: | 0020-7543, 1366-588X |
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| Abstract | The scheduling literature is extensive, but much of this work is theoretical and does not capture the complexity of real world systems. Capital goods companies produce products with deep and complex product structures, each of which requires the coordination of jobbing, batch, flow and assembly processes. Many components require numerous operations on multiple machines. Integrated scheduling problems simultaneously consider two or more simultaneous decisions. Previous production scheduling research in the capital goods industry has neglected maintenance scheduling and used metaheuristics with stochastic search that cannot guarantee an optimal solution. This paper presents a novel mixed integer linear programming model for simultaneously solving the integrated production and preventive maintenance scheduling problem in the capital goods industry, which was tested using data from a collaborating company. The objective was to minimise total costs including: tardiness and earliness penalty costs; component and assembly holding costs; preventive maintenance costs; and set-up, production, transfer and production idle time costs. Thus, the objective function and problem formulation were more extensive than previous research. The tool was successfully tested using data obtained from a collaborating company. It was found that the company's total cost could be reduced by up to 63.5%. |
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| AbstractList | The scheduling literature is extensive, but much of this work is theoretical and does not capture the complexity of real world systems. Capital goods companies produce products with deep and complex product structures, each of which requires the coordination of jobbing, batch, flow and assembly processes. Many components require numerous operations on multiple machines. Integrated scheduling problems simultaneously consider two or more simultaneous decisions. Previous production scheduling research in the capital goods industry has neglected maintenance scheduling and used metaheuristics with stochastic search that cannot guarantee an optimal solution. This paper presents a novel mixed integer linear programming model for simultaneously solving the integrated production and preventive maintenance scheduling problem in the capital goods industry, which was tested using data from a collaborating company. The objective was to minimise total costs including: tardiness and earliness penalty costs; component and assembly holding costs; preventive maintenance costs; and set-up, production, transfer and production idle time costs. Thus, the objective function and problem formulation were more extensive than previous research. The tool was successfully tested using data obtained from a collaborating company. It was found that the company's total cost could be reduced by up to 63.5%. |
| Author | Chansombat, Sirikarn Hicks, Christian Pongcharoen, Pupong |
| Author_xml | – sequence: 1 givenname: Sirikarn orcidid: 0000-0003-4873-0478 surname: Chansombat fullname: Chansombat, Sirikarn organization: Faculty of Engineering, Centre of Operations Research and Industrial Applications (CORIA), Naresuan University – sequence: 2 givenname: Pupong surname: Pongcharoen fullname: Pongcharoen, Pupong email: pupongp@nu.ac.th organization: Faculty of Engineering, Centre of Operations Research and Industrial Applications (CORIA), Naresuan University – sequence: 3 givenname: Christian surname: Hicks fullname: Hicks, Christian organization: Newcastle University Business School |
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| SubjectTerms | Assembly Capital goods Complexity Costs Integer programming integrated scheduling Linear programming Maintenance costs Maintenance management manufacturing and maintenance Mixed integer mixed integer linear programming Preventive maintenance Production scheduling Scheduling |
| Title | A mixed-integer linear programming model for integrated production and preventive maintenance scheduling in the capital goods industry |
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