Unequal-area capability-based facility layout design problem with a heuristic decomposition-based iterative mathematical programming approach
| dc.contributor.author | Varol, Bilge | |
| dc.contributor.author | Subulan, Kemal | |
| dc.contributor.author | Baykasoğlu, Adil | |
| dc.date.accessioned | 2024-04-05T18:49:30Z | |
| dc.date.available | 2024-04-05T18:49:30Z | |
| dc.date.issued | 2023 | |
| dc.department | TAÜ, Mühendislik Fakültesi, Endüstri Mühendisliği Bölümü | en_US |
| dc.description.abstract | Thus far in the available literature, capability-based facility layout design approaches were developed by only considering equal machine areas, where they are assigned to the pre-specified locations. Based on this motivation, this paper introduces a new unequal-area capability-based facility layout design (UA-CBFLD) problem for the first time in the literature. In addition to the machines’ unequal-area requirements, the proper distribution of their processing capabilities over the shop floor is considered. First, a new mixed-integer non-linear programming (MINLP) model is developed. Then, a polyhedral inner-approximation method is applied to cope with nonlinear area constraints. Due to its NP-hard nature and highly non-linear structure, a heuristic decompositionbased iterative solution approach is also proposed to solve realistic size problems within a reasonable time. In order to show the validity and applicability of the proposed approach, both an illustrative example with different machine-capability overlaps and a real-life application in a manufacturing company are presented. The computational results have shown that the proposed approach has found a 33.25% better layout score (as a function of the distance and the amounts of product flows) and achieved this solution 116.64% faster than the solution of the developed MINLP model via Gurobi’s standard non-linear programming solver. Furthermore, when compared to the existing cellular facility layout design of the manufacturing company, the proposed capability-based unequal-area layout design option has also 29.37% and 34.74% superior layout scores under the scenarios of equal and unequal machine areas, respectively. Moreover, the total average machine utilization has increased up to 89.6%, which is comparatively better than the current average cell utilization, i.e., 65.2%. | |
| dc.identifier.citation | Varol, B., Subulan, K. ve Baykasoğlu, A. (2023). Unequal-area capability-based facility layout design problem with a heuristic decomposition-based iterative mathematical programming approach. Expert Systems With Applications içerisinde 1-24. Elsevier. | |
| dc.identifier.doi | 10.1016/j.eswa.2022.119199 | |
| dc.identifier.endpage | 24 | en_US |
| dc.identifier.startpage | 1 | en_US |
| dc.identifier.uri | https://hdl.handle.net/20.500.12846/1061 | |
| dc.language.iso | en | |
| dc.publisher | Elsevier | |
| dc.relation.ispartof | Expert Systems With Applications | |
| dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.subject | Capability-based layout design | en_US |
| dc.subject | UA-FLP | en_US |
| dc.subject | Inner-approximation method | en_US |
| dc.subject | Mixed-integer non-linear programming | en_US |
| dc.subject | Heuristic decomposition-based approach | en_US |
| dc.title | Unequal-area capability-based facility layout design problem with a heuristic decomposition-based iterative mathematical programming approach | |
| dc.type | Article |
