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

Mustajib, Mohamad Imron

doi:10.7454/mst.v16i1.1040

Cited by 5 publications

(2 citation statements)

References 21 publications

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“…For this paper, we used the Taguchi quadratic loss function (Taguchi et al, 2005;Mustajib, 2012), as in Eq. (5).…”

Section: Fig 1 Conceptual Model Of the Process Selectionmentioning

confidence: 99%

“…It represents an interactive process between the design and manufacturing decision making (Singh et al, 2009;Li et al, 2009). Because the tolerance relates to the costs, the allocation of optimal tolerance values should take both quality loss and manufacturing costs into account when considering the design and tolerance constraints (Feng et al, 2001;Mustajib 2012;Muda and Hendry, 2002;Lin 2012).…”

Section: Introductionmentioning

confidence: 99%

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A comprehensive model for process selection by considering offline and online quality control

Jerusalem

Lin

Irianto

2016

JAMDSM

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Offline and online quality control are vital aspects to maintain quality since they help to reduce the deviation of the target product and to avoid any out-of-control manufacturing conditions. In contrast to extant studies which only highlighted the importance of online quality control, this study proposes a new comprehensive model for process selection. It incorporates both offline and online quality controls, an excellent balance between the costs, tolerance as a quality requirement, and delivery time. In particular, the proposed model tries to optimize the total cost, which comprises the design, prevention, manufacturing, inspection-correction, and finishing costs as well as the loss of quality, by considering the tolerance and delivery schedule. This model then selects the process with the cheapest total cost, a tolerance level that is more lenient than the tightest tolerance, and a reasonable delivery time. A distinguishing feature of the presented model compared to other studies about process selection is that the costs are related to the product design, which makes this model compatible with more than one product design. The model is also robust to changes in some of the parameters. Therefore, it can be implemented in numerous situations.

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“…For this paper, we used the Taguchi quadratic loss function (Taguchi et al, 2005;Mustajib, 2012), as in Eq. (5).…”

Section: Fig 1 Conceptual Model Of the Process Selectionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A comprehensive model for process selection by considering offline and online quality control

Jerusalem

Lin

Irianto

2016

JAMDSM

View full text Add to dashboard Cite

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From tolerance allocation to tolerance-cost optimization: a comprehensive literature review

Hallmann¹,

Schleich²,

Wartzack³

2020

Int J Adv Manuf Technol

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It is widely acknowledged that the allocation of part tolerances is a highly responsible task due to the complex repercussions on both product quality and cost. As a consequence, since its beginnings in the 1960s, least-cost tolerance allocation using optimization techniques, i.e. tolerance-cost optimization, was continuously in focus of numerous research activities. Nowadays, increasing cost and quality pressure, availability of real manufacturing data driven by Industry 4.0 technologies, and rising computational power result in a continuously growing interest in tolerance-cost optimization in both research and industry. However, inconsistent terminology and the lack of a classification of the various relevant aspects is an obstacle for the application of tolerance-cost optimization approaches. There is no literature comprehensively and clearly summarizing the current state of the art and illustrating the relevant key aspects. Motivated to overcome this drawback, this article provides a comprehensive as well as detailed overview of the broad research field in tolerance-cost optimization for both beginners and experts. To facilitate the first steps for readers who are less familiar with the topic, the paper initially outlines the fundamentals of tolerance-cost optimization including its basic idea, elementary terminology and mathematical formulation. These fundamentals serve as a basis for a subsequent detailed discussion of the key elements with focus on the different characteristics concerning the optimization problem, tolerance-cost model, technical system model and the tolerance analysis model. These aspects are gathered and summarized in a structured mind map, which equips the reader with a comprehensive graphical overview of all the various facets and aspects of tolerance-cost optimization. Beside this, the paper gives a retrospect of the past fifty years of research in tolerance cost-optimization, considering 290 relevant publications. Based thereon, current issues and future research needs in tolerance-cost optimization were identified.

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Quality improvement by variance reduction of component using learning investment allocation model

Rosyidi

Nugroho

Jauhari

et al. 2016

2016 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)

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

Cited by 5 publications

References 21 publications

A comprehensive model for process selection by considering offline and online quality control

A comprehensive model for process selection by considering offline and online quality control

From tolerance allocation to tolerance-cost optimization: a comprehensive literature review

Quality improvement by variance reduction of component using learning investment allocation model

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