Neuro-genetic impact on cell formation methods of Cellular Manufacturing System design: A quantitative review and analysis

Chattopadhyay, Manojit; Sengupta, Sourav; Ghosh, Tamal; Dan, Pranab K.; Mazumdar, Sitanath

doi:10.1016/j.cie.2012.09.016

Cited by 25 publications

(13 citation statements)

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“…The advantages of CMS are effectively realized by the integration of design, and production planning and control with their objectives being shared through a suitable field [8]. The review by Chattopadhay et al [9] mentioned that the research objectives by researchers focus mostly on the design issues of CMS with the major focus on CF problem whereas the control issues are least bothered and a good design can be evolved with improved production performance by an integrated approach. Li et al [10] stated that the successful operation of CMS is influenced by both structural issues like cell formation (CF) and operational issues that deal with scheduling.…”

Section: Introductionmentioning

confidence: 99%

“…As a result of CF problems complexity and with the increase in computer processing speed, recent research papers mostly use meta-heuristic like simulated annealing algorithm (SAA) [34], tabu search [35], bacteria foraging algorithm [36], particle swarm optimization (PSO) [37], hybrid genetic ant lion optimization algorithm (HGALO) [38]. A comprehensive review of genetic algorithm (GA) and artificial neural network (ANN) approaches for CF is given by Chattopadhyay et al [9]. On this concern, to improve the solution within a reasonable computational time, so that there would be a better chance of implementation among practitioners, a hybrid heuristic (HH) that has ''SAA embedded with GA'' is developed to the CF integrated with scheduling decisions.…”

Section: Introductionmentioning

confidence: 99%

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An improved design for cellular manufacturing system associating scheduling decisions

Subhaa

Jawahar²,

Ponnambalam

2019

Sādhanā

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This paper presents a model for the design of Cellular Manufacturing System (CMS) to evolve simultaneously structural design decisions of Cell Formation (CF) and operational issue decisions of optimal schedule. This integrated decision approach is important for designing a better performing cell. The model allows machine duplication and incorporates cross-flow for scheduling flexibility. The cross-flow is the term introduced to mean the inter-cell movement of parts from parent cell to identical machines in other cells though machines are available in the parent cell. This cross-flow facilitates routing flexibility and paves way for reduced schedule length thereby optimizing resources leading to minimized operational cost. A non-linear integer mathematical programming model is formulated with the objective function of minimizing operating cost which is the sum of Machine Utility Cost (MUC) and inter-cell costs. The MUC is a new cost parameter based on machine utility and it integrates CF, scheduling, and machine duplication decisions. The proposed model belongs to the class of NP-hard problems. A hybrid heuristic (HH) that has ''Simulated Annealing Algorithm (SAA) embedded with Genetic Algorithm (GA)'' is proposed. A comparison with the mathematical solution reveals that the proposed HH is capable of providing solutions closer to optimal in a computationally efficient manner. The model is validated by studying the effect of integrated decisions, machine duplications, and association of scheduling and cross-flow. The model validation reveals that the proposed CMS model evolves CF, scheduling, and machine duplication decisions with minimum operating cost. Thus, it can be inferred that the proposed model gives optimal integrated decisions for designing an effectively and efficiently performing cells and thus evolves improved CMS design decisions.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An improved design for cellular manufacturing system associating scheduling decisions

Subhaa

Jawahar²,

Ponnambalam

2019

Sādhanā

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“…CFP can be defined as grouping the parts into part families and the machines into machine cells and then assigns the part families into corresponding machine cells (Liu, et al, 2010;Paydar, et al, 2011). The parts are similar either because of geometric design features or because similar processing requirements, such as operations, tolerances, and machine tool capacities (John, et al, 2011;Chattopadhyay, et al, 2013). Generally, research suggests that is the best to use the processing routes for collection of parts (John, et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

“…CFP is known as an NP-hard problem, due to its computational complexity. Extended classifications and reviews of the various approaches adopted/developed for solving the CFP are available in the literature (Singh, 1993;Selim, et al, 1998;Papaioannou and Wilson, 2010;Chattopadhyay, et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

“…The design of a cellular manufacturing system (CMS) includes the following four stages: (1) cell formation problem (CFP); (2) group layout; (3) group scheduling; and (4) resource allocation; among them the CFP is the most important for prosperity of the whole system (Chattopadhyay, et al, 2013). CFP can be defined as grouping the parts into part families and the machines into machine cells and then assigns the part families into corresponding machine cells (Liu, et al, 2010;Paydar, et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

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A comparative case study of e-learning tools for manufacturing cell formation

Ilic

Cvetić

2014

JAMDSM

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Manufacturing cell formation is the first and foremost issue in designing cellular manufacturing system. The main objective in the cell formation problem is to cluster machines into machine cells and parts into part families so that the minimum of both intercell and intracell flows will be achieved. The purpose of this paper is to enhance solving the cell formation problem with the help of e-Learning tools in the educational environment. An efficient method and supporting tool for solving manufacturing cell formation problem are proposed. Therefore, the original similarity coefficient-based heuristic (SCBH) algorithm for solving the cell formation problem is presented. It incorporates the pure combinatorial optimization models for maximization the sum of similarity coefficients between machine/part pairs. Additionally, the LAYOUT tool is offered as a supporting tool for the SCBH. A comparative case study is conducted to validate the performance of the proposed SCBH algorithm and LAYOUT tool, and the results showed that their implementation is significant for reducing both intercell and intracell flows. The results of this work can be helpful for future or existing practitioners to become the real-world cell formation problem solvers.

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An effective Sorensen‐single linkage clustering hybrid algorithm for cell formation problems in cellular manufacturing industry

Sathish¹,

Karuppuswamy³

et al. 2019

Concurrency and Computation

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Summary The paper presented here entails technique that is based upon Sorensen's similarity coefficient as well as the Sorensen‐ Single Linkage Clustering (SLC) algorithm, which essentially is a hybrid clustering approach that has been deployed here to show issue related to cell formation during the process of cellular engineering. In the following paper and study that has been presented here, the suggested hybrid algorithm comparison has been drawn versus the existing clustering algorithms and their performances have been compared specifically the MOD‐SLC modified single linkage or SLC also known as the single linkage clustering algorithm. The Sorensen‐SLC technique and the inferences drawn on the same show that it performs comparatively better when compared with the MOD‐SLC and SLC algorithms. Additionally, the computation that is necessary for this hybrid algorithm is absolutely a bare minimal and the computation processing is effective and easy.

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Neuro-genetic impact on cell formation methods of Cellular Manufacturing System design: A quantitative review and analysis

Cited by 25 publications

References 159 publications

An improved design for cellular manufacturing system associating scheduling decisions

An improved design for cellular manufacturing system associating scheduling decisions

A comparative case study of e-learning tools for manufacturing cell formation

An effective Sorensen‐single linkage clustering hybrid algorithm for cell formation problems in cellular manufacturing industry

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