A hybrid optimization approach for layout design of unequal-area facilities

Mir, Mustahsan; Imam, Muhammad Hasan

doi:10.1016/s0360-8352(00)00065-6

Cited by 58 publications

(45 citation statements)

References 13 publications

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“…The other important piece of research was written by Imam and Mir [14,15]. Imam and Mir [14] introduce a heuristic algorithm to place unequal-sized rectangular facilities in continuous plane by introducing the new concept of 'controlled coverage' by using 'envelop blocks'.…”

Section: Literature Reviewmentioning

confidence: 99%

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Facility Layout Problem for Cellular Manufacturing Systems

Allahyari¹,

Azab²

2017

Computational Optimization in Engineering - Paradigms and Applications

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Good layout plan leads to in improve machine utilization, part demand quality, efficient setup time, less work-in-process inventory and material handling cost. Cellular Manufacturing (CM) is an application of GTCM is the combination of job shop and/or flow shop. Facility Layout Problem (FLP) for CMS includes both inter-cell layout and intra-cell layout. A bi-level mixed-integer non-linear programming continuous model has been formulated to fully define the problem and the relationship between intra-cell and inter-cell layout design. Facilities are assumed unequal size; operation sequences, part demands, overlap elimination, aisle are considered. The problem is NP-hard; hence, a simulated annealing meta-heuristic employing a novel constructive radial-based heuristic for initialization have been designed and implemented. For the first time, a novel heuristic algorithm has been designed to allocate and displace facilities in radial direction. In order to improve the search efficiency of the developed SA algorithm, the cell size used in the initialization heuristic algorithm is assumed twice as that of the original size of the cells. A real case study from the metal cutting inserts industry has been used. Results demonstrate the superiority of the developed SA algorithm against rival comparable meta-heuristics and algorithms from the literature.

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Section: Literature Reviewmentioning

confidence: 99%

“…Mir and Imam [15] have mentioned the second drawback above is addressed and try to improve their primary procedure. They develop a hybrid model by using SA for gaining the sub-optimal initial feasible solution and then they improved it using a steepest descent approach.…”

Section: Literature Reviewmentioning

confidence: 99%

Facility Layout Problem for Cellular Manufacturing Systems

Allahyari¹,

Azab²

2017

Computational Optimization in Engineering - Paradigms and Applications

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“…Clearly, there have been many advances in factory design technologies stemming from the use of mathematical and graphical simulation models (Chung, 1999, Heragu and Kusiak, 1988, Kim and Kim, 2000, Hamann and Vernadat, 1992; artificial intelligence (Mir and Imam, 2001, Balakrishnan et al, 2003 and other knowledge-based tools (Grubic and Fan, 2010, Todorova and Stefanov, 2009, Fernández López, 1999, Schreiber et al, 1999, Horrocks and Harmelen, 2001, Dean et al, 2002, Grüninger et al, 2010, Fallside and Walmsley, 2004, McGuinness et al, 2000, Ribière and Charlton, 2000. Despite these advances:…”

Section: Introductionmentioning

confidence: 99%

Resource selection ontologies in support of a recipe-based factory design methodology

Agyapong-Kodua

Haraszkób

Németh

2014

International Journal of Production Research

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Factory (re) design involves the appropriate utilisation of product, process and resource knowledge in the determination of suitable configurations of physical factory facilities which have the potential to meet industrial and organisational requirements. Different independent semantic modelling standards exist for products, processes and resources but to automate and facilitate the selection of factory resources, there is the need to semantically integrate resource capabilities with product and process requirements. This paper defines a 'recipe-based' approach to designing factories and it is based on the assumption that capabilities and competences of reusable components (or building blocks) of factory resources can be semantically modelled and matched with product-process requirements. This approach will enable Factory Designers and Engineers to decide on relevant resource systems within finite, valuable and defined sets of requirements.

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“…It identified the closeness relationship values between each pair of facilities in a construction site using fuzzy linguistic representation. Mir and Imam (2001) proposed a hybrid optimization approach for the layout design of unequal area facilities. They used simulated annealing to optimize a randomly generated initial placement on an "external plane" considering the unequalarea facilities enclosed in magnified envelop block in the direction of steepest descent.…”

Section: Introductionmentioning

confidence: 99%

Weighted Euclidean distance based approach as a multiple attribute decision making method for plant or facility layout design selection

Rao¹,

Singh²

2012

ijiec

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In response to increasing inflexible customer demands and to improve the competitive advantage, industrial organizations have to adopt strategies to achieve cost reduction, continual quality improvement, increased customer service and on-time delivery performance. Selection of the most suitable plant or facility layout design for an organization is one among the most important strategic issues to fulfill all these above-mentioned objectives. Nowadays, many industrial organizations have come to realize the importance of proper selection of the plant or facility layout design to survive in the global competitive market. Selecting the proper layout design from a given set of candidate alternatives is a difficult task, as many potential qualitative and quantitative criteria need to be considered. This paper proposes a Euclidean distance based approach (WEDBA) as a multiple attribute decision making method to deal with the complex plant or facility layout design problems of the industrial environment. Three examples are included to illustrate the approach.

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A hybrid optimization approach for layout design of unequal-area facilities

Cited by 58 publications

References 13 publications

Facility Layout Problem for Cellular Manufacturing Systems

Facility Layout Problem for Cellular Manufacturing Systems

Resource selection ontologies in support of a recipe-based factory design methodology

Weighted Euclidean distance based approach as a multiple attribute decision making method for plant or facility layout design selection

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