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International Journal of Production Research Volume 45, 2007 - Issue 22
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Original Articles

A local genetic approach to multi-objective, facility layout problems with fixed aisles

M. Ye Department of Industrial and Manufacturing Engineering, The Pennsylvania State University, 310 Leonhard Building, University Park, PA 16802Correspondence[email protected]
&
G. Zhou College of Business Administration, Zhejiang University of Technology, Hangzhou, 310014, People's Republic of China
Pages 5243-5264 | Received 01 Sep 2005, Published online: 03 Oct 2007

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A. Azadeh, T. Nazari & H. Charkhand. (2015) Optimisation of facility layout design problem with safety and environmental factors by stochastic DEA and simulation approach. International Journal of Production Research 53:11, pages 3370-3389.
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S.G. Li, Y. Ni, X. Wang, L. Shi & L.J. Zhu. (2012) Design of one-piece flow production system with mixed flows: a timed process flow diagram-based approach. International Journal of Computer Integrated Manufacturing 25:11, pages 996-1010.
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Fariborz Jolai, Reza Tavakkoli-Moghaddam & Mohammad Taghipour. (2012) A multi-objective particle swarm optimisation algorithm for unequal sized dynamic facility layout problem with pickup/drop-off locations. International Journal of Production Research 50:15, pages 4279-4293.
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Jesica de Armas, Coromoto León, Gara Miranda & Carlos Segura. (2010) Optimisation of a multi-objective two-dimensional strip packing problem based on evolutionary algorithms. International Journal of Production Research 48:7, pages 2011-2028.
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Metehan ATAY, Mohamad ALHAMAD, Cihan ÇETİNKAYA & Serap SEÇKİNER. (2023) Suriye Mülteci Kamplarının ve İnsani Yardım Depo Konumlarının Coğrafi Bilgi Sistemi (CBS) ve Doğrusal Programlama ile ModellenmesiModeling of Syrian Refugee Camps and Humanitarian Aid Warehouse Locations with Geographic Information System (GIS) and Linear Programming. Çukurova Üniversitesi Mühendislik Fakültesi Dergisi 38:3, pages 633-645.
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Yongkui Li, Peng Liao, Ying Song & He Chi. (2023) A systematic decision-support approach for healthcare facility layout design integrating resource flow and space adjacency optimization with simulation-based performance evaluation. Journal of Building Engineering 77, pages 107465.
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Rui Li, Yali Chen, Jinzhao Song, Ming Li & Yu Yu. (2023) Multi-Objective Optimization Method of Industrial Workshop Layout from the Perspective of Low Carbon. Sustainability 15:16, pages 12275.
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Vijaya Dixit, Priyanka Verma & Piyush Raj. (2020) Leveraging tacit knowledge for shipyard facility layout selection using fuzzy set theory. Expert Systems with Applications 158, pages 113423.
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Amir Ahmadi-Javid & Nasrin Ramshe. (2018) Designing flexible loop-based material handling AGV paths with cell-adjacency priorities: an efficient cutting-plane algorithm. 4OR 17:4, pages 373-400.
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Jamil Hallak, Melik Koyuncu & Pınar Miç. (2019) Determining shelter locations in conflict areas by multiobjective modeling: A case study in northern Syria. International Journal of Disaster Risk Reduction 38, pages 101202.
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Pınar Miç, Melik Koyuncu & Jamil Hallak. (2019) Primary Health Care Center (PHCC) Location-Allocation with Multi-Objective Modelling: A Case Study in Idleb, Syria. International Journal of Environmental Research and Public Health 16:5, pages 811.
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Srisatja Vitayasak & Pupong Pongcharoen. (2018) Performance improvement of Teaching-Learning-Based Optimisation for robust machine layout design. Expert Systems with Applications 98, pages 129-152.
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Hasan Hosseini-Nasab, Sepideh Fereidouni, Seyyed Mohammad Taghi Fatemi Ghomi & Mohammad Bagher Fakhrzad. (2017) Classification of facility layout problems: a review study. The International Journal of Advanced Manufacturing Technology 94:1-4, pages 957-977.
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A. Azadeh, M. Moghaddam, T. Nazari & M. Sheikhalishahi. (2015) Optimization of facility layout design with ambiguity by an efficient fuzzy multivariate approach. The International Journal of Advanced Manufacturing Technology 84:1-4, pages 565-579.
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Amirsaman Kheirkhah, Hamidreza Navidi & Masume Messi Bidgoli. (2015) Dynamic Facility Layout Problem: A New Bilevel Formulation and Some Metaheuristic Solution Methods. IEEE Transactions on Engineering Management 62:3, pages 396-410.
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Giuseppe Aiello, Giada La Scalia & Mario Enea. (2013) A non dominated ranking Multi Objective Genetic Algorithm and electre method for unequal area facility layout problems. Expert Systems with Applications 40:12, pages 4812-4819.
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Lei Yang, Jochen Deuse & Pingyu Jiang. (2012) Multiple-attribute decision-making approach for an energy-efficient facility layout design. The International Journal of Advanced Manufacturing Technology 66:5-8, pages 795-807.
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Mostafa Abedzadeh, Mostafa Mazinani, Nazanin Moradinasab & Emad Roghanian. (2012) Parallel variable neighborhood search for solving fuzzy multi-objective dynamic facility layout problem. The International Journal of Advanced Manufacturing Technology 65:1-4, pages 197-211.
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M. E. Shedeed & S. E. Z. Abdel Barr. (2012) Genetic Algorithm for solving Multi-objective Facility Layout Problem (MOFLP). Genetic Algorithm for solving Multi-objective Facility Layout Problem (MOFLP).
I. Jerin Leno, S. Saravana Sankar, M. Victor Raj & S. G. Ponnambalam. (2012) An elitist strategy genetic algorithm for integrated layout design. The International Journal of Advanced Manufacturing Technology.
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Kazi Ripon, Kyrre Glette, Mats Hovin & Jim Torresen. (2011) Dynamic facility layout problem under uncertainty: a Pareto-optimality based multi-objective evolutionary approach. Open Computer Science 1:4, pages 375-386.
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Kazi Shah Nawaz Ripon, Kyrre Glette, Mats Høvin & Jim Tørresen. (2010) Multi-objective evolutionary approach for solving facility layout problem using local search. Multi-objective evolutionary approach for solving facility layout problem using local search.
Kazi Shah Nawaz Ripon, Kyrre Glette, Mats Høvin & Jim Torresen. 2010. Neural Information Processing. Theory and Algorithms. Neural Information Processing. Theory and Algorithms 540 550 .
Kazi Shah Nawaz Ripon, Kyrre Glette, Omid Mirmotahari, Mats Høvin & Jim Tørresen. 2009. Neural Information Processing. Neural Information Processing 159 168 .

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