Metaheuristics for fuzzy dynamic facility layout problem with unequal area constraints and closeness ratings

Samarghandi, Hamed; Taabayan, Pouria; Behroozi, Mehdi

doi:10.1007/s00170-012-4685-z

Cited by 17 publications

(4 citation statements)

References 35 publications

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“…The QAP formulation has been extended to cover unequal area units that can occupy different blocks (Wang, Hu, & Ku, 2005). The discrete representation can also facilitate modelling dynamic layout problems where the layout changes over time (Samarghandi, Taabayan, & Behroozi, 2013). However, this approach is incapable of representing models with other assumptions such as unit orientations (vertically or horizontally), pick up and drop off points, and consideration of required distances among units (Drira et al, 2007).…”

Section: Facility Layout Problemsmentioning

confidence: 99%

Improving patient timeliness of care through efficient outpatient clinic layout design using data-driven simulation and optimisation

et al. 2019

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With greater demand for outpatient services, the importance of patient-centric clinic layout design that improves timeliness of patient care has become more elucidated. In this paper, a novel simulation-optimisation (SO) framework is proposed focusing on the physical and process flows of patients in the design of a paediatric orthopaedic outpatient clinic. A discrete-event simulation model is used to estimate the frequency of movements between clinic units. The resulting information is utilised as input to a mixed integer programming (MIP) model, optimising the clinic layout design. In order to solve the MIP model, Particle Swarm Optimisation (PSO), a metaheuristic approach enhanced with several heuristics is utilised. Finally, the optimisation model outputs are evaluated with the simulation model. The results demonstrate that improvements to the quality of the patient experience can be achieved through incorporating SO methods into the clinic layout design process.

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Section: Facility Layout Problemsmentioning

confidence: 99%

Improving patient timeliness of care through efficient outpatient clinic layout design using data-driven simulation and optimisation

et al. 2019

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“…Mazinani et al [30] modelled dynamic flexible bay layout and solved the problem using a genetic algorithm. Samarghandi et al [31] focused on metaheuristics for fuzzy DFLP. Hosseini et al [32] proposed a robust and simply structured hybrid technique based on integrating three meta-heuristics: imperialist competitive algorithms, variable neighborhood search, and simulated annealing, to efficiently solve the DFLP.…”

Section: Dynamic Facility Layout Problemmentioning

confidence: 99%

Dynamic facility layout problem in footwear industry

Ulutas

Islier

2015

Journal of Manufacturing Systems

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“…the minimization of the material flow and rearrangement costs and the maximization of the adjacency Simulated annealing algorithm requirement and the distance requirement. Samarghandi et al (2013) studied the dynamic layout problem as a problem with two objectives. In their model, the material flow between the facilities was assumed to be expressed as a triangular fuzzy number.…”

Section: Literature Reviewmentioning

confidence: 99%

“…An important issue in designing a plant is to determine an appropriate location for a set of departments on the workshop floor that is usually called the facility layout problem (FLP) (Dunker et al , 2005). The material handling consists of virtually 15%–70% of the production costs; hence, minimizing the material handling costs (MHC) is among common objective functions in the FLP (Samarghandi et al , 2013).…”

Section: Introductionmentioning

confidence: 99%

A mathematical model and a simulated annealing algorithm for unequal multi-floor dynamic facility layout problem based on flexible Bay structure with elevator consideration

Zolfi

Jouzdani

2022

JFM

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Purpose As far as the authors know, no research has already been carried out on the multi-floor dynamic facility layout problem (MF-DFLP) in the continuous form regarding the flexible bay structure, the number and the variable location of the elevator. Therefore, the present paper models the given problem and attempts to find a sub-optimal solution for it using a meta-heuristic simulated annealing (SA) algorithm. Design/methodology/approach The efficient use of resources has always been a prominent matter for decision-makers. Many reasons including land use, construction considerations and proximity of departments have led to the design of multi-floor facilities. On the other hand, their fast-evolving environment calls for dynamic planning. Therefore, in this paper, a model and the SA algorithm for MF-DFLP are presented. Findings After presenting a mathematical model, the problem was solved precisely in a small size using the GAMS software. Also, a near-optimal solution method using a SA meta-heuristic algorithm is suggested and the proposed algorithm was run in the MATLAB software. To evaluate the presented model and the proposed solution, some test cases were considered in two aspects. The first aspect was the test cases that are newly generated in small, medium and large sizes to compare the exact optimal solution with the results of the meta-heuristic algorithm. Eight test cases with small sizes were solved using the GAMS software, the optimum solutions were obtained in a reasonable time, and the cost of their solutions was equal to that of the SA algorithm. Eight test cases with medium sizes were run in the GAMS software with the time limit of 80,000 s, and the SA algorithm had performed better for these test cases. Two test cases were also considered in large size that GAMS could not solve them, whereas the SA algorithm successfully found a proper solution for each. The second aspect included the test cases from the literature. The result showed that suggested algorithm is more capable of finding best solutions than compared algorithms. Originality/value In this paper, an unequal area MF-DFLP was studied in a continuous layout form in which the location and number of the elevators were considered to be variable, and the layouts were considered with flexible bay structure. These conditions were investigated for the first time.

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Metaheuristics for fuzzy dynamic facility layout problem with unequal area constraints and closeness ratings

Cited by 17 publications

References 35 publications

Improving patient timeliness of care through efficient outpatient clinic layout design using data-driven simulation and optimisation

Improving patient timeliness of care through efficient outpatient clinic layout design using data-driven simulation and optimisation

Dynamic facility layout problem in footwear industry

A mathematical model and a simulated annealing algorithm for unequal multi-floor dynamic facility layout problem based on flexible Bay structure with elevator consideration

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