Optimization of dynamic operating theatre facility layout

Chraibi, Abdelahad; Kharraja, Saïd; Osman, Ibrahim H.; Elbeqqali, Omar

doi:10.1109/iesm.2015.7380169

Cited by 11 publications

(13 citation statements)

References 11 publications

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“…Here, the layout will be rearranged in a way that it satisfies the patient demands of each period. Table 1 summarizes the differences between the robust approach of Chraibi et al [4] and our adaptive approach. Traditional FLP approaches consider a planning horizon generally divided into periods of weeks, months or years.…”

Section: Problem Descriptionmentioning

confidence: 99%

“…In the case of our MAS approach, this paper will focus on the AOTLP and present just the adopted architecture and novelties compared to the developed MILP for the problem in Ref. [4]. The developed MILP aims to minimize the traveling costs for the considered entities (doctors, patients, and medical and non-medical staff) for each period in the planning horizon, to maximize the adjacency rating between dependent facilities and to minimize rearrangement costs generated by moving appropriated equipment for each room specialty [Eq.…”

Section: Problem Descriptionmentioning

confidence: 99%

“…(11) and the MILP in Ref. [4] in order to determine the optimal location and orientation for each facility within the department. Considering these solutions, the optimal OT layout in a period t is addressed by using all resulting departments in period t. For this, departments are assigned to the defined locations -in the first step -according to the total relations rate (TRR) calculated in Eq.…”

Section: Mas Approachmentioning

confidence: 99%

See 2 more Smart Citations

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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Section: Problem Descriptionmentioning

confidence: 99%

Section: Problem Descriptionmentioning

confidence: 99%

Section: Mas Approachmentioning

confidence: 99%

See 1 more Smart Citation

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

Chraibi

Kharraja

Osman

et al. 2019

Journal of Intelligent Systems

Self Cite

View full text Add to dashboard Cite

show abstract

“…According to [67], this is because the global competitive environment has changed from being between individual firms to a relationship between supply chains. Moreover, organizations are in constant pursuit of efficient supply chains and/or networks, which guarantee competitive advantages in the global economic market [43]. For these reasons, it is necessary for organizations to manage not only their own internal relations, but also their relationships with other organizations within the SC.…”

Section: Introductionmentioning

confidence: 99%

“…Over time, effective SCM leads to the amelioration of product quality and customer service. It also leads to better market responsiveness, access to the target market, and hence improves organizational performance overall [e.g., 43,52,59]. …”

Section: Introductionmentioning

confidence: 99%