Mathematical models for FMS loading and part type selection with flexible process plans

被引:5
|
作者
Bilge, Umit [1 ]
Albey, Erinc [1 ]
Besikci, Umut [1 ]
Erbatur, Kemalettin [2 ]
Arslan, Ayse N. [3 ]
机构
[1] Bogazici Univ, Dept Ind Engn, TR-34342 Istanbul, Turkey
[2] Sabanci Univ, Fac Engn & Nat Sci, TR-34956 Istanbul, Turkey
[3] Univ Florida, Dept Ind & Syst Engn, Gainesville, FL 32611 USA
关键词
tool loading problem; operation allocation; part type selection; flexible manufacturing systems; FMS; flexible process plans; FPP; mathematical modelling; SYMBIOTIC EVOLUTIONARY ALGORITHM; FULL ROUTING FLEXIBILITY; MANUFACTURING SYSTEMS; HIERARCHICAL APPROACH; SOLUTION METHODOLOGY; HEURISTIC APPROACH; MACHINE; FORMULATION; DECISIONS;
D O I
10.1504/EJIE.2015.068649
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The loading problem in flexible manufacturing systems (FMS) consider several different manufacturing settings and objective functions but some crucial aspects of FMS environments, such as flexible process plans (FPP), have not yet received adequate attention. FPPs are vital in coping with bottlenecks and breakdowns, and decreasing the flow time. Modelling FPPs within a loading model, however, increases the problem complexity. In this study, we work on the integrated version of FMS part type selection and loading problems, and propose two models that consider operation allocation at different levels of detail for an FMS with FPP. Operation allocation is modelled explicitly along with tool loading in our first model, while the second one considers it implicitly to obtain a more compact and efficient formulation. Both models show remarkable reduction in run time compared to an existing loading model proposed for a similar FMS environment.
引用
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页码:171 / 194
页数:24
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