Abstract
Dynamic facility layout planning (DFLP) involves determining an appropriate arrangement scheme of the elements making up the production system for each time period into which the planning horizon is divided. When formulating the problem as an optimisation model, using the traditional top-down approach is usual, which firstly determines the block layout (BL) and then the detailed layout (DL) of each work cell. However by this approach, the BL generates area constraints in the detailed phase, which sometimes limit its implementation. In this context, the present paper presents a multi-objective mixed integer non-linear programming (MOMINLP) model that allows the problem to be addressed by considering an alternative approach, known in the literature as the bottom-up approach. The proposed model, called bottom-up mDFLP, considers three objective functions: (1) minimise the total material handling cost (TMHC) and the total rearrangement cost (TRAC); (2) maximise the total closeness rating (TCR) between departments; (3) maximise the area utilisation ratio (AUR). The original MOMINLP is transformed into a more computationally efficient multi-objective mixed integer linear programming (MOMILP) model. The proposed model is applied and validated in a case study of a company in the metal-mechanic sector with 12 departments for three 4-month periods.
Original language | English |
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Pages (from-to) | 626-643 |
Number of pages | 18 |
Journal | International Journal of Production Research |
Volume | 62 |
Issue number | 3 |
DOIs | |
State | Accepted/In press - 2023 |
Bibliographical note
Publisher Copyright:© 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
Keywords
- Facility layout
- facility planning
- mixed integer linear programming
- multicriteria decision making
- non-linear programming