A two-layer genetic algorithm for the design of reliable cellular manufacturing systems

Rezazadeh, Hassan; Khiali-Miab, Amin

doi:10.5267/j.ijiec.2017.1.001

Cited by 11 publications

(11 citation statements)

References 19 publications

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“…Other research focused on diverse imperfect features of manufacturing systems can also be found (e.g. Makis, 1998;Eroglu & Ozdemir, 2007;Chakraborty et al, 2013;Kaylani et al, 2016;Majumder et al, 2016;Zhang et al, 2016;Khanna et al, 2017;Rezazadeh & Khiali-Miab, 2017;Shakoor et al, 2017;Al-Bahkali & Abbas, 2018;Pearce et al, 2018). Because few studies focuse on multiproduct fabrication system by considering an expedited rate and scraps, this research aims to fill the gap.…”

Section: Introductionmentioning

confidence: 99%

Satisfying multiproduct demand with a FPR-based inventory system featuring expedited rate and scraps

Chiu¹,

Huang²,

Chiu³

et al. 2019

10.5267/j.ijiec

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Facing stiff competition in worldwide markets, capability of meeting timely demands of multiproduct and satisfying customer's desired product quality are essential to present-day manufacturers. Motivated by achieving the aforementioned goals, this research intends to find most economic common cycle length for a multiproduct finite production rate (FPR)-based inventory system, wherein, imperfect production process with expedited fabrication rate and random scrap is assumed. Extra setup and unit costs are associated with the adjusted rate, and imperfect products are screened and scrapped. A mathematical model is cautiously constructed to examine and resolve the problem. A numerical illustration is employed to exhibit the applicability of the proposed method. Except finding the most economic common cycle time for the problem, core contribution of this study also is associated with the individual and combined impact(s) of important factors to the problem, and hence, enabling management of manufacturing firms to make efficient/cost-effective decision and gain competitive advantages.

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Section: Introductionmentioning

confidence: 99%

Satisfying multiproduct demand with a FPR-based inventory system featuring expedited rate and scraps

Chiu¹,

Huang²,

Chiu³

et al. 2019

10.5267/j.ijiec

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show abstract

“…2 Literature review on hybrid GA techniques in CMS CMS problems and their different variants have been widely studied in literature (Paydar et al, 2013;Messaoudi and Rebaï, 2014;Mousavi et al, 2018). A majority of these techniques use GA (Karthikeyan et al, 2016;Moradgholi et al, 2016;Rezazadeh and Khiali-Miab, 2017;Vitayasak et al, 2017) and GA-based hybrid techniques (Chaudhuri et al, 2017;Costa et al, 2017). An extensive review on the application of GA and its hybridisations in CMSs have been done by Chaudhuri et al (2018).…”

Section: Introductionmentioning

confidence: 99%

A goal programming embedded genetic algorithm for multi-objective manufacturing cell design

Chaudhuri

Jana

Sharma

et al. 2019

IJADS

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In this paper, a multi-objective manufacturing cell design problem is studied. A goal programming (GP) embedded real-coded genetic algorithm (GA) is designed for solving this problem. Initially, the GA is used to obtain the individual minimum of each objective. Thereafter, utilising the concepts of GP, an equivalent problem is derived, and the sum of deviation variables associated with the objectives are minimised. The GA is used further to obtain the optimal cell design. A software toolkit is developed based on the proposed technique using C Sharp.net to ensure its use in a larger scale. The effectiveness of the technique is judged based on a set of test problems of different sizes. The proposed technique is found to be better in terms of the performance measure over the existing ones.

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“…Lim et al [14] presented multi-objective hybrid algorithms for layout optimization in multirobot assembly for solving the cellular manufacturing problems. Rezazadeh and Khiali-Miab [15] developed a novel mathematical model for designing the reliable cellular manufacturing systems, which led to decrease in manufacturing costs, improved total reliability of the manufacturing system, and improved product quality. In addition, a two-layer genetic algorithm was presented to address the complexity of cell formation problems to obtain near optimal solutions.…”

Section: Introductionmentioning

confidence: 99%

A Novel Robust Possibilistic Cellular Manufacturing Model Considering Worker Skill and Product Quality

2018

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Design of an appropriate Cellular Manufacturing System (CMS) leads to system exibility and production e ciency by using the similarities in the manufacturing process of products. One of the main issues in these systems is to consider product quality level and worker's skill level in the production process. This study proposes a comprehensive bi-objective possibilistic nonlinear mixed-integer programming model under uncertain environment to design a suitable CMS with the aim of minimizing the total costs and total inaction of workers and machines, simultaneously. In this respect, the demand for each product with a speci c quality level and linguistic parameters such as product quality level, worker's skill level, and job hardness level on machines are considered under fuzzy environment. To this end, the robust possibilistic programming approach is tailored to cope with fuzzy impute parameters. Finally, a real case study is provided to show the e ciency and applicability of the proposed model. In this respect, the proposed approach could reduce the total costs by 23.6% and the total inaction of workers and machines by 11.7% in comparison with real practice. In addition, the performance of the presented model is demonstrated by comparing the results obtained from the proposed model and actual practice.

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A two-layer genetic algorithm for the design of reliable cellular manufacturing systems

Cited by 11 publications

References 19 publications

Satisfying multiproduct demand with a FPR-based inventory system featuring expedited rate and scraps

Satisfying multiproduct demand with a FPR-based inventory system featuring expedited rate and scraps

A goal programming embedded genetic algorithm for multi-objective manufacturing cell design

A Novel Robust Possibilistic Cellular Manufacturing Model Considering Worker Skill and Product Quality

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