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Concurrent cell formation and layout design based on hybrid approaches
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Dynamic cellular manufacturing systems design—a comprehensive model
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A hybrid method based on genetic algorithm and dynamic programming for solving a bi-objective cell formation problem considering alternative process routings and machine duplication
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Genetic algorithms for integrating cell formation with machine layout and scheduling
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Applying simulated annealing for designing cellular manufacturing systems using MDmTSP
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An efficient approach to determine cell formation, cell layout and intracellular machine sequence in cellular manufacturing systems
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A multi-objective scatter search for a dynamic cell formation problem
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Solving a group layout design model of a dynamic cellular manufacturing system with alternative process routings, lot splitting and flexible reconfiguration by simulated annealing
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The evolution of cell formation problem methodologies based on recent studies (1997–2008): Review and directions for future research
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On solving manufacturing cell formation via Bicluster Editing
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A comprehensive mathematical model for the design of cellular manufacturing systems
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A mathematical model and a parallel multiple search path simulated annealing for an integrated distributed layout design and machine cell formation
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Multi-objective hybrid algorithms for layout optimization in multi-robot cellular manufacturing systems
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CLASS: An algorithm for cellular manufacturing system and layout design using sequence data
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Joint determination of machine cells and linear intercell layout
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Multiple criteria clustering algorithm for solving the group technology problem with multiple process routings
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A genetic algorithm based cell design considering alternative routing
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A PSO-based approach to cell formation problems with alternative process routings
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Designing group layout of unequal-area facilities in a dynamic cellular manufacturing system with variability in number and shape of cells
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Multiple routeings and capacity considerations in group technology applications
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Multi-objective machine-part cell formation through parallel simulated annealing
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AN INTEGRATED APPROACH TO CELL FORMATION AND PART ROUTING IN GROUP TECHNOLOGY MANUFACTURING SYSTEMS
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A similarity score-based two-phase heuristic approach to solve the dynamic cellular facility layout for manufacturing systems
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A genetic-based algorithm with the optimal partition approach for the cell formation in bi-directional linear flow layout
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Multi-objective genetic algorithm for cell formation problem considering cellular layout and operations scheduling
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A robust optimisation model for generalised cell formation problem considering machine layout and supplier selection
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Cell formation and layout design with alternative routing: a multi-objective scatter search approach
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A fuzzy simulated evolution algorithm for integrated manufacturing system design
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
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RETRACTED ARTICLE: Enhancing performance of cell formation problem using hybrid efficient swarm optimization
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Similarity coefficient and TOPSIS methods for designing flexible machine cell layout: a case study of electrical and electronic industries
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Integrated optimization approach to cell formation, cell layout, and group scheduling for dynamic cellular manufacturing system
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Integrated Optimization to Cell Formation, Cell Layout, and Group Scheduling for Dynamic Cellular Manufacturing System
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MILP model and a genetic algorithm for the integrated cell formation, layout and worker assignment problem
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A New Mathematical Model for Cell Layout Problem considering Rotation of Unequal Dimensions of Cells and Machines
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Concurrent scheduling and layout of virtual manufacturing cells considering assembly aspects
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Cell formation and layout design using genetic algorithm and TOPSIS: A case study of Hydraulic Industries State Company
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Designing a Flexible and Reconfigurable Manufacturing System Considering a Circular Shaped Layout
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