Heuristic algorithm to solve the multi-floor layout problem with the consideration of elevator utilization

Matsuzaki, Kenichiro; Irohara, Takashi; Yoshimoto, Kazuho

doi:10.1016/s0360-8352(99)00144-8

Cited by 50 publications

(25 citation statements)

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“…In this way, it accepts the changes that improve the objective function and also keep changes that do not improve the objective. In the field of FLP, this approach is being preferred by researchers starting from manufacturing cell design to multi-objective layout planning (Ioannou, 2007;Şahin et al, 2010;Castillo and Peters, 2003;Dong et al, 2009;Souilah, 1995;Sugiyono, 2006;Matsuzaki et al, 1999). Ku et al (2011) proposed a SAbased parallel GA approach for facility layout problem.…”

Section: Ant Colony Optimisationmentioning

confidence: 99%

A review on implementation of meta-heuristic approaches for layout problems in dynamic business environment

Sharma

Singhal

2016

IJMDA

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Arrangement of the facilities on shop floor in industries termed as facility layout planning. It is a vital issue at the premature stage while designing a manufacturing structure because it affects the total manufacturing cost considerably. The dynamic environment is such an industrial condition in which flexibility exists in the demand of the product. The purpose of this research paper is to present a review on the implementation of meta-heuristics approaches for handling the problem of facility layout in a dynamic environment. Various meta-heuristic approaches which have been implemented in facility layout planning (FLP) are discussed briefly and the percent utilisation of different approaches is analysed in various time spans. Tabu search (TS), genetic algorithm (GA), particle swarm optimisation (PSO), and ant colony optimisation (ACO) are several typically used methods by researchers for layout optimisation. In the present study, % utilisation of these algorithms has been analysed for different time span, ACO utilised by maximum researchers in the time span '2010-2015'. The present study also revealed GA has been executed by most of the researchers (25%), whereas PSO (8%) utilised by very least designers.Keywords: dynamic environment; meta-heuristic; optimisation; facility layout planning; hybrid approaches.Reference to this paper should be made as follows: Sharma, P. and Singhal, S. A review on implementation of meta-heuristic approaches for layout problems 7Sandeep Singhal is currently working as an Associate Professor in Department of Mechanical Engineering, National Institute of Technology (NIT), Kurukshetra, Haryana, India, an institution of national importance. Currently, he is the Chairman of ISTE, Haryana Chapter. He is a PhD from NIT, Kurukshetra. He has more than 25 years of teaching, research and professional experience and has authored more than 40 research papers in reputed national and international peer reviewed journals and conferences. He has authored a book on entrepreneurship. His areas of interest are SCM, ERP, TQM, entrepreneurship, facility management, etc. He has worked with AICTE and NBA the apex regulatory body for technical education in various capacities for seven years and was closely associated with Washington Accord. He has guided/guiding research scholars at MTech and PhD levels.

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Section: Ant Colony Optimisationmentioning

confidence: 99%

A review on implementation of meta-heuristic approaches for layout problems in dynamic business environment

Sharma

Singhal

2016

IJMDA

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“…In this respect, the planning of elevators such as their location, number, capacity and control is a quite new and challenging field that has been addressed for example by Matsuzaki et al (1999), Goetschalckx and Irohara (2007a,b), and Krishnan et al (2009). Further modeling and solution approaches for multi-floor layout problems can be found in Bozer et al (1994), Patsiatzis and Papageorgiou (2002), and Meller and Bozer (1997).…”

Section: Further Readingmentioning

confidence: 99%

Location Problems in Healthcare

Güneş

Nickel

2015

Location Science

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In this chapter, we discuss facility location problems arising in the context of healthcare. We concentrate on three main areas: the most classical one is healthcare facility location which is closely related to public facility location. Secondly, we look at ambulance planning which includes ambulance location and relocation problems. In the last part, we give an overview of hospital layout problems. For all three parts, we state some important models and give an overview of relevant literature as well as current research directions. A comprehensive reference list is included at the end of the chapter. Keywords Ambulance location • Healthcare facility location • Layout problems • Public facility location IntroductionThe ageing society together with a high cost pressure on the healthcare sector brings methods from operations research in a quite prominent place. From a perspective of facility location, healthcare applications bring together different models from location theory and moreover, they give raise to new models as we will see in this chapter.One of the most discussed topics in healthcare is the equal access to health services and a high level of health protection at the same time which is a universal and ageless problem. This leads to the first topic that we deal with in this chapter: Sect. 21.2 is devoted to healthcare facility location; we review the literature and present some classical models in that area. The reader needs some basic knowledge on discrete facility location problems as discussed in Chaps. 2-5 of Part I of this book. Another crucial issue in healthcare is the time interval between an emergency

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“…Applying genetic algorithms to optimize the material storage locations in a building construction can be found in Adel El-Baz [28], Azadivar and Wang [29], Kaku et al [8], Matsuzaki et al [30] and Fung et al [1]. Genetic algorithms have also been applied to allocate construction facilities [31] and optimize facility layouts [32] in construction sites.…”

Section: Literature Reviewmentioning

confidence: 99%

Optimization of material hoisting operations and storage locations in multi-storey building construction by mixed-integer programming

Huang

Wong

Tam

2010

Automation in Construction

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Heuristic algorithm to solve the multi-floor layout problem with the consideration of elevator utilization

Cited by 50 publications

References 9 publications

A review on implementation of meta-heuristic approaches for layout problems in dynamic business environment

A review on implementation of meta-heuristic approaches for layout problems in dynamic business environment

Location Problems in Healthcare

Optimization of material hoisting operations and storage locations in multi-storey building construction by mixed-integer programming

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