A new hybrid heuristic algorithm based on bacterial foraging optimization for the dynamic facility layout problem

Turanoğlu, Betül; Akkaya, Gökay

doi:10.1016/j.eswa.2018.01.011

Cited by 65 publications

(26 citation statements)

References 50 publications

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“…Otherwise, α m = 0. The calculation of land cost (LC) and floor cost (FC) is related to the area occupied by all the facilities, as shown in Equations (26) and (27).…”

Section: Objective Functionmentioning

confidence: 99%

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Coupling Layout Optimization of Key Plant and Industrial Area

Zhao

et al. 2020

Processes

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Layout problems are an engineering task that heavily relies on project experience. During the design of a plant, various factors need to be considered. Most previous efforts on industrial layout design have focused on the arrangement of facilities in a plant. However, the area-wide layout was not thoroughly studied and the relationship between plant layout and area-wide layout was rarely mentioned. In this work, the key plant that has the greatest impact on the industrial area is figured out first, and then the coupling relationships between the key plant and the industrial area are studied by changing the occupied area and length-width ratio of the key plant. Both of them are achieved by changing the floor number. A hybrid algorithm involving the genetic algorithm (GA) and surplus rectangle fill algorithm (SRFA) is applied. Various constraints are considered to make the layout more reasonable and practical. In the case study, a refinery with 20 plants is studied and the catalytic cracking plant is found to be the key plant. After the retrofit, the total cost of the refinery is 1,806,100 CNY/a less than that before, which illustrates the effectiveness of the method.

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“…Otherwise, α m = 0. The calculation of land cost (LC) and floor cost (FC) is related to the area occupied by all the facilities, as shown in Equations (26) and (27).…”

Section: Objective Functionmentioning

confidence: 99%

“…Various algorithms were adopted, such as GA [21,22] and the simulated annealing algorithm [23,24], and both of these have obtained reasonable results. To improve the performance of each algorithm, many kinds of hybrid algorithms [25,26] were often applied as well.…”

Section: Introductionmentioning

confidence: 99%

Coupling Layout Optimization of Key Plant and Industrial Area

Zhao

et al. 2020

Processes

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“…En los últimos diez años los enfoques de programación matemática más utilizados en el modelado del DFLP han sido, en orden decreciente de frecuencia, el modelo de asignación cuadrática (QAP) con el 34% de los casos consultados [8], [10], [15], programación no lineal entera mixta (MINLP) con aproximadamente el 16% [37], [38], [48], programación lineal entera mixta (MILP) con un poco más del 11% [34], [47] y programación no lineal (NLP) con casi el 5% [36], [41]. Sin embargo, también se ha aplicado programación lineal entera (LIP) [9] y programación bi-nivel (BLPM) [2] al caso específico de configuraciones MRLP, e incluso, programación estocástica difusa (FSPM) [35] para modelar el DFLP bajo una configuración SRLP.…”

Section: Tendencias Actuales En El Modelado Matemático Del Dflpunclassified

“…En este contexto, es comprensible la necesidad de adoptar DP suficientemente flexibles [7]. A partir de este enfoque, denominado dinámico o multiperíodo (DFLP), se diseña una DP óptima para cada período de tiempo de modo que se minimicen los costes totales de transporte de materiales y los relacionados con la redistribución de las instalaciones [8]- [10].…”

Section: Introductionunclassified

Planificación de la distribución en planta en entornos dinámicos: un estudio de revisión

Pérez-Gosende¹,

Mula

Díaz‐Madroñero

2020

Proceedings of the 18th LACCEI International Multi-Conference for Engineering, Education, and Technology: Engineering, Integrat

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The facility layout problem is considered one of the most important design decisions in the framework of business operations strategies. Its proven impact on operational costs, efficiency, and productivity of manufacturing systems have made it a topic of extensive scientific discussion. However, the static planning approach has been given greater coverage in the literature, when in fact, in practice, the consideration of a dynamic or multiperiod approach is more common. In this context, this article presents a literature review regarding the dynamic facilities layout problem (DFLP) from the perspective of operations management. The revised literature allowed us to define the frames of reference, design principles, modeling approaches, resolution strategies, as well as guidelines for future research.

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“…In this context, the need to sufficiently adopt dynamic layouts is almost mandatory [20]. With this approach, named the dynamic facility layout problem (DFLP), an optimal layout is adopted for each period so that all the material handling costs and the facilities rearrangement costs are minimized [21][22][23].…”

Section: Introductionmentioning

confidence: 99%

Overview of Dynamic Facility Layout Planning as a Sustainability Strategy

Pérez-Gosende

Díaz‐Madroñero

2020

Sustainability

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The facility layout design problem is significantly relevant within the business operations strategies framework and has emerged as an alternate strategy towards supply chain sustainability. However, its wide coverage in the scientific literature has focused mainly on the static planning approach and disregarded the dynamic approach, which is very useful in real-world applications. In this context, the present article offers a literature review of the dynamic facility layout problem (DFLP). First, a taxonomy of the reviewed papers is proposed based on the problem formulation current trends (related to the problem type, planning phase, planning approach, number of facilities, number of floors, number of departments, space consideration, department shape, department dimensions, department area, and materials handling configuration); the mathematical modeling approach (regarding the type of model, type of objective function, type of constraints, nature of market demand, type of data, and distance metric), and the considered solution approach. Then, the extent to which recent research into DFLP has contributed to supply chain sustainability by addressing its three performance dimensions (economic, environmental, social) is described. Finally, some future research guidelines are provided.

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A new hybrid heuristic algorithm based on bacterial foraging optimization for the dynamic facility layout problem

Cited by 65 publications

References 50 publications

Coupling Layout Optimization of Key Plant and Industrial Area

Coupling Layout Optimization of Key Plant and Industrial Area

Planificación de la distribución en planta en entornos dinámicos: un estudio de revisión

Overview of Dynamic Facility Layout Planning as a Sustainability Strategy

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