Reference health
New criteria for configuration of cellular manufacturing considering product mix variation
36/36 checkable references clean · checked 2026-07-22
Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.
15 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.
The 36 checked references that resolve
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A multi-objective scatter search for a dynamic cell formation problem
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An exact -constraint method for bi-objective combinatorial optimization problems: Application to the Traveling Salesman Problem with Profits
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Human related issues in manufacturing cell design, implementation, and operation: a review and survey
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A hybrid GA-AUGMECON method to solve a cubic cell formation problem considering different worker skills
resolves10.1080/0951192X.2014.880949
New bi-objective robust design-based utilisation towards dynamic cell formation problem with fuzzy random demands
resolves10.1016/j.jmsy.2014.05.005
Stochastic skill-based manpower allocation in a cellular manufacturing system
resolves10.1016/j.cie.2012.05.006
Stochastic cellular manufacturing system design subject to maximum acceptable risk level
resolves10.1016/j.apenergy.2010.09.014
Multi-objective congestion management by modified augmented ε-constraint method
resolves10.1109/TSMC.1971.4308298
On a Bicriterion Formulation of the Problems of Integrated System Identification and System Optimization
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Approximating the Nondominated Front Using the Pareto Archived Evolution Strategy
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Rank-density-based multiobjective genetic algorithm and benchmark test function study
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A new mathematical model for integrating all incidence matrices in multi-dimensional cellular manufacturing system
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Genetic algorithm approach for solving a cell formation problem in cellular manufacturing
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Effective implementation of the ε-constraint method in Multi-Objective Mathematical Programming problems
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Applying simulated annealing for designing cellular manufacturing systems using MDmTSP
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Developing a mathematical model for cell formation in cellular manufacturing systems
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A hybrid genetic-variable neighborhood search algorithm for the cell formation problem based on grouping efficacy
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Sensitivity analysis in cellular manufacturing system in the case of product mix variation
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Muiltiobjective Optimization Using Nondominated Sorting in Genetic Algorithms
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Optimal operator assignment and cell loading when lot-splitting is allowed
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Intra-cell manpower transfers and cell loading in labor-intensive manufacturing cells
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Minimizing total tardiness subject to manpower restriction in labor-intensive manufacturing cells
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Multi-period operator assignment considering skills, learning and forgetting in labour-intensive cells
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A multi-objective procedure for labour assignments and grouping in capacitated cell formation problems
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Similarity coefficient methods applied to the cell formation problem: A taxonomy and review
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Comparison of Multiobjective Evolutionary Algorithms: Empirical Results
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Multiobjective evolutionary algorithms: a comparative case study and the strength Pareto approach
The 15 references without a DOI — listed, not checked
no DOI — not checked10.1016/j.cie.2016.06.021_b0035
no DOI — not checkedA heuristic algorithm for grouping manufacturing cells
no DOI — not checked10.1016/j.cie.2016.06.021_b0045
no DOI — not checkedPESA-II: Region-based selection in evolutionary multiobjective optimization
no DOI — not checkedThe Pareto envelope-based selection algorithm for multiobjective optimization
no DOI — not checked10.1016/j.cie.2016.06.021_b0060
no DOI — not checkedMultiobjective genetic algorithms
no DOI — not checkedOn the performance assessment and comparison of stochastic multiobjective optimizers
no DOI — not checked10.1016/j.cie.2016.06.021_b0100
no DOI — not checkedA niched Pareto genetic algorithm for multiobjective optimization
no DOI — not checked10.1016/j.cie.2016.06.021_b0155
no DOI — not checkedMOGA: Multi-objective genetic algorithms
no DOI — not checkedMultiple objective optimization with vector evaluated genetic algorithms
no DOI — not checked10.1016/j.cie.2016.06.021_b0235
no DOI — not checked10.1016/j.cie.2016.06.021_b0250
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