A multi-objective mixed-integer programming model for a multi-floor facility layout

Hathhorn, Jonathan; Sisikoglu, Esra; Sir, Mustafa Y.

doi:10.1080/00207543.2012.753486

Cited by 26 publications

(19 citation statements)

References 31 publications

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“…The optimization of materials handling cost, which equals the sum of the flow-weighted transportation costs between each pair of departments, was the most frequently addressed economic goal when planning facility layouts. Materials handling cost is primarily an efficiency indicator, and one that is difficult to meaningfully transform into a monetary unit [82] and yet, for manufacturing companies, it is reported to account for 20-50% of the total operational costs [83]. Thus, when engaging layout planning decisions, analysts often prioritize the proximity among those departments, machines, or workstations with a greater material flow intensity to reduce the total production costs and contribute to increase organization competitiveness.…”

Section: Contributions Of Dynamic Facility Layout Planning To Supply mentioning

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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Section: Contributions Of Dynamic Facility Layout Planning To Supply mentioning

confidence: 99%

Overview of Dynamic Facility Layout Planning as a Sustainability Strategy

Pérez-Gosende

Díaz‐Madroñero

2020

Sustainability

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“…A multi objective GA is proposed for solving unequal area FLP with more than one objective function and obtained Pareto-optimal solutions (Aiello et al 2012). Hathhorn et al (2013) considered two objective functions of minimising material handling and facility building costs and formulated using mixed integer programming (MIP); further they proposed a lexicographic ordering technique to handle multiple objectives. A multi-objective FLP having unequal area facilities with slicing tree representation is approached in two steps by Aiello et al (2013).…”

Section: Multi-objective Flps Using Pareto-optimal Approachmentioning

confidence: 99%

Multi-objective facility layout problems using BBO, NSBBO and NSGA-II metaheuristic algorithms

Singh¹,

Ingole²

2019

10.5267/j.ijiec

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Quantitative and qualitative objectives are both significant to solve any facility layout problem (FLP), which is called as multi-objective FLP. Generally, quantitative factors are considered as material handling cost, time, etc., and qualitative factors are considered as closeness rating, hazardous movement between the facilities, etc. For solving and optimizing two or more objectives, two methods are available. First is weight approach method and second is nondominated sorting method. In the former method, suitable weights are given to each objective and combined in a single objective function; while in later method, the objectives are defined separately and by making comparison of the solutions on the non-dominance criteria, best Pareto-optimal solutions are obtained. In this paper, equal area multi-objective FLPs which are formulated as quadratic assignment problem (QAP) are considered and optimized using biogeography based optimization (BBO) algorithm and non-dominated sorting BBO (NSBBO) algorithm. BBO is one of the efficient metaheuristic techniques, developed to solve complex optimization problems. Computational results of BBO algorithm using weight approach illustrate its better performance compared to other methods while solving multi-objective FLPs. Furthermore to obtain Pareto optimal solutions, NSBBO algorithm is implemented.

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“…Hathhorn et al [11] developed a multi-objective mixed integer programming (MIP) model for multi-floor FLP to minimize both the material handling cost and the total facility building cost, and used a lexicographic ordering technique to handle the multiple objectives. Zhang and Che [33] presented a new formulation of FLP using a MILP formulation to assign a certain number of rooms to a given number of departments while maximizing the utilization rate of the rooms.…”

Section: Literature Reviewmentioning

confidence: 99%

A Multi-Agents System for Solving Facility Layout Problem: Application to Operating Theater

Chraibi

Kharraja

Osman

et al. 2019

Journal of Intelligent Systems

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Facility layout problem (FLP) has a great impact on the efficiency of any organization. It is concerned with defining the optimal location for each facility in order to optimize the supply chain productivity. In this kind of problems, the choice of resolution approach depends on the complexity and the size of the problem. Operating theaters are generally big structures containing a lot of facilities, which makes the conception of their layout a complex problem. In the literature, exact methods are powerless when faced with problem sizes up to 18 facilities. This leads us to explore other approaches, looking for efficient solutions. This paper presents a novel approach using a multi-agents system where agents’ skills are exploited to cover a wide research space, to accelerate the decision-making process and to deal with real-life problem sizes. This decision-making tool is based on several mixed integer linear programming models for solving the FLP, and considers two types of environments with deterministic and variant patient demand. Several experiments have been performed to demonstrate the effectiveness of our approach, and several problem instances with >80 facilities have been solved in reasonable time.

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A multi-objective mixed-integer programming model for a multi-floor facility layout

Cited by 26 publications

References 31 publications

Overview of Dynamic Facility Layout Planning as a Sustainability Strategy

Overview of Dynamic Facility Layout Planning as a Sustainability Strategy

Multi-objective facility layout problems using BBO, NSBBO and NSGA-II metaheuristic algorithms

A Multi-Agents System for Solving Facility Layout Problem: Application to Operating Theater

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