Design of robust layout for Dynamic Plant Layout Problems

Pillai, V. Madhusudanan; Hunagund, Irappa Basappa; Krishnan, Kannan

doi:10.1016/j.cie.2011.05.014

Cited by 78 publications

(12 citation statements)

References 55 publications

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“…Part movement cost, and batch size are set to ten and one, respectively. As mentioned, MADHUSUDANAN-PILLAI, et al [6]. proposed an SA algorithm to solve their robust layout design model, which is termed MP-SA hereafter.…”

Section: Benchmark Studymentioning

confidence: 99%

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Performance Analysis of Intelligent Robust Facility Layout Design

Moslemipour

Lee

Loong

2017

Chin. J. Mech. Eng.

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Design of a robust production facility layout with minimum handling cost (MHC) presents an appropriate approach to tackle facility layout problems in a dynamic volatile environment, in which product demands randomly change in each planning period. The objective of the design is to find the robust facility layout with minimum total material handling cost over the entire multiperiod planning horizon. This paper proposes a new mathematical model for designing robust machine layout in the stochastic dynamic environment of manufacturing systems using quadratic assignment problem (QAP) formulation. In this investigation, product demands are assumed to be normally distributed random variables with known expected value, variance, and covariance that randomly change from period to period. The proposed model was verified and validated using randomly generated numerical data and benchmark examples. The effect of dependent product demands and varying interest rate on the total cost function of the proposed model has also been investigated. Sensitivity analysis on the proposed model has been performed. Dynamic programming and simulated annealing optimization algorithms were used in solving the modeled example problems.

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Section: Benchmark Studymentioning

confidence: 99%

“…MADHUSUDANAN-PILLAI, et al [6], proposed a SA algorithm to solve their robust layout design model. SOOLAKI, et al [7], solved a cell design problem in an uncertain environment of manufacturing systems by developing a robust optimization model.…”

Section: Literature Reviewmentioning

confidence: 99%

Performance Analysis of Intelligent Robust Facility Layout Design

Moslemipour

Lee

Loong

2017

Chin. J. Mech. Eng.

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“…Otros escenarios propuestos a futuro son la elaboración de directrices relativas al medio ambiente (Al-Mubarak, 2003), estudios de esquemas de asignación de más de un elemento a la vez en una celda, considerando múltiples objetivos (Madhusudanan Pillai, 2011).…”

Section: Perspectivas Y Tendencias a Futurounclassified

Modelos matemáticos para la definición del layout de las celdas de manufactura. Revisión de literatura

Duque

Moncayo

Martínez

2015

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El presente artículo de revisión aborda el planteamiento del problema del layout de las celdas de manufactura (LCM) de una forma descriptiva, considerando primero el problema y sus variaciones, luego los elementos de los modelos matemáticos, y posteriormente los métodos de solución empleados; y por último se concluye con algunas perspectivas futuras alrededor de este tema. Palabras clave: Celdas de manufactura, Formación de celdas, Layout, Métodos de solución. AbstractThis review article discusses the approach to the layout problem of cell manufacturing (LCM) in a descriptive form; considering at first the problem and its variations, then the elements of the mathematical models, subsequently presenting solution methods used; and finally some future perspectives about this topic are considered.

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“…To compare the performance of the proposed model with the previous approaches, which deal with the static environment, facility relocating cost is set to zero. Madhusudanan-Pillai et al (2011) proposed a SA algorithm to solve their robust layout design model, which is termed MP-SA hereafter. Another heuristic method was also developed by Irappa and Madhusudanan (2008) to solve their model, which is denoted by I-M hereafter.…”

Section: Benchmark Methodsmentioning

confidence: 99%

Developing and solving two-echelon inventory system for perishable items in a supply chain: case study (Mashhad Behrouz Company)

2013

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This paper aims at proposing a quadratic assignment-based mathematical model to deal with the stochastic dynamic facility layout problem. In this problem, product demands are assumed to be dependent normally distributed random variables with known probability density function and covariance that change from period to period at random. To solve the proposed model, a novel hybrid intelligent algorithm is proposed by combining the simulated annealing and clonal selection algorithms. The proposed model and the hybrid algorithm are verified and validated using design of experiment and benchmark methods. The results show that the hybrid algorithm has an outstanding performance from both solution quality and computational time points of view. Besides, the proposed model can be used in both of the stochastic and deterministic situations.

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Design of robust layout for Dynamic Plant Layout Problems

Cited by 78 publications

References 55 publications

Performance Analysis of Intelligent Robust Facility Layout Design

Performance Analysis of Intelligent Robust Facility Layout Design

Modelos matemáticos para la definición del layout de las celdas de manufactura. Revisión de literatura

Developing and solving two-echelon inventory system for perishable items in a supply chain: case study (Mashhad Behrouz Company)

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