Simultaneous optimal selection of design and manufacturing tolerances with alternative manufacturing process selection

Sivakumar, K.; Balamurugan, C.; Ramabalan, S.

doi:10.1016/j.cad.2010.10.001

Cited by 48 publications

(66 citation statements)

References 26 publications

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“…The problem, however, in Eq. 1 above is applied only for products with single quality characteristic, while for products with multiple quality characteristics the value of quality loss can be expanded [9]:…”

Section: Methodsmentioning

confidence: 99%

“…2 that are extended to be loss of multiple quality characteristics. This expansion is formulated with [9]: and quality loss cost (Cr) are known, then the matrix elements of R (denoted by R qi ) can be finded. In case p=2, it is required three data sets for matrix elements.…”

Section: Methodsmentioning

confidence: 99%

“…A major focus in tolerance design model was for a single quality characteristic by incorporating quality loss [4,[6][7][8][9]. Recently, Mustajib and Irianto [10] propossed an integrated model for tolerance allocation and selection process in multi-stage processes.…”

Section: Introductionmentioning

confidence: 99%

“…manufacturing and quality costs. The development was carried out by enhancing on the model of previous study [8,9,[11][12][13][14] with respect to process capability and statistical approaches, also taking into account the quality loss cost is a function of tolerance as well as rework and scrap cost.…”

Section: Introductionmentioning

confidence: 99%

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Concurrent Engineering of Tolerance Synthesis and Process Selection for Products With Multiple Quality Characteristcs Considering Process Capability

Mustajib¹

2012

MST

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The existences of variances that are very difficult to be removed from manufacturing processes provide significance of tolerance to the product quality characteristics target of customer functional requirement. Furthermore, quality loss incurred due to deviation of quality characteristics of the target with a specified tolerance. This article discusses the development of concurrent engineering optimization model of tolerance design and manufacturing process selection on product with multiple quality characteristics by minimizing total costs in the system, namely total manufacturing cost and quality loss cost as functions of tolerance, also rework and scrap costs. The considered multiple quality characteristics have interrelated tolerance chain. The formulation of proposed model is using mixed integer non linear programming as the method of solution finding. In order to validate of the model, this study presents a numerical example. It was found that optimal solution are achieved from proposed model in the numerical example. Abstrak Rekayasa Simultan Sintesis Toleransi dan Pemilihan Proses untuk Produk dengan Multi-karakteristik Kualitas yang Mempertimbangkan Kapabilitas Proses.Keberadaan variansi yang sangat sulit untuk dihilangkan dalam proses manufaktur memberikan peran penting adanya toleransi terhadap target karakteristik kualitas produk yang menjadi kebutuhan fungsional bagi konsumen. Selanjutnya timbul kerugian kualitas yang disebabkan oleh penyimpangan karakteristik kualitas dari target dengan toleransi yang ditetapkan. Makalah ini membahas pengembangan model optimisasi rekayasa simultan desain toleransi dan pemilihan proses manufaktur pada produk dengan multi karakteristik kualitas untuk meminimasi total ongkos dalam sistem, yaitu total ongkos manufaktur dan ongkos kerugian kualitas yang merupakan fungsi dari toleransi serta ongkos rework dan ongkos scrap. Karakteristik kualitas produk yang diperhatikan dalam penelitian ini memiliki rantai toleransi yang saling berkaitan (interrelated chain). Formulasi model yang dikembangkan menggunakan mixed integer non linear programming sebagai metode pencarian solusi.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Concurrent Engineering of Tolerance Synthesis and Process Selection for Products With Multiple Quality Characteristcs Considering Process Capability

Mustajib¹

2012

MST

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“…Second, NSGA-II uses a fast non-dominated sorting procedure. Third, NSGA-II does not require any tunable parameter thereby making the algorithm independent of the user (Sivakumar et al, 2011). NSGA-II is a fast and very efficient Multi-objective evolutionary algorithm (MOEA), which incorporates the features of an elitist archive and a rule for adaptation assignment that takes into account both the rank and the distance of each solution regarding others.…”

Section: Mutationmentioning

confidence: 99%

A bi-objective simulation-optimization approach for solving a no-wait two stages flexible flow shop scheduling problem with rework ability

Rahmanidoust

Zheng²

2017

IBR

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The paper suggests a new rule; called no-wait process. The rule has two stages, and is a flexible flow shop scheduling. The process is the subject to maximize tardiness while minimizing the makespan. This hybrid flow shop problem is known to be NP-hard. Therefore, we come to first, Non-dominated Sorting Genetic Algorithm (NSGA-II), then, Multi-Objective Imperialist Competitive Algorithm (MOICA) and finally, Pareto Archive Evolutionary Strategy (PAES) as three multi-objective Pareto based metaheuristic optimization methods. They are developed to solve the problem to approximately figure out optimal Pareto front. The method is investigated in several problems that differed in size and terms of relative percentage deviation of performance metrics. The conclusion, developed by this method is the most efficient and practicable algorithm at the end.

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A Novel Approach to Simultaneous Robust Design of Product Parameters and Tolerances Using Quality Loss and Multivariate ANOVA Concepts

Hazrati‐Marangaloo

Shahriari

2016

Quality & Reliability Eng

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Design and development of high quality products are of utmost importance to any production plant. Product design consists of parameter design and tolerance design, which affect the product performances and the manufacturing costs, respectively. Most products involve more than one quality feature. Design and development of such products raise multi-response surface problems in which it is necessary to determine the optimal values of parameters and the tolerances for all responses simultaneously. In this research, an approach for simultaneous robust parameter and tolerance design is proposed to deal with multi-response problems. The proposed method employs quality loss concept and one-way multivariate analysis of variance. Two simulation studies are performed to validate the applicability of the proposed method. Research findings show that the proposed method performs better in quality improvement as well as in cost reduction than the existing methods. The variances of the responses are also lower than those of the other methods, that is, the proposed method results in a more robust approach to product design.

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Simultaneous optimal selection of design and manufacturing tolerances with alternative manufacturing process selection

Cited by 48 publications

References 26 publications

Concurrent Engineering of Tolerance Synthesis and Process Selection for Products With Multiple Quality Characteristcs Considering Process Capability

Concurrent Engineering of Tolerance Synthesis and Process Selection for Products With Multiple Quality Characteristcs Considering Process Capability

A bi-objective simulation-optimization approach for solving a no-wait two stages flexible flow shop scheduling problem with rework ability

A Novel Approach to Simultaneous Robust Design of Product Parameters and Tolerances Using Quality Loss and Multivariate ANOVA Concepts

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