Design improvement using process capability data

Delaney, Kevin; Phelan, Pat

doi:10.1016/j.jmatprotec.2008.02.059

Cited by 18 publications

(6 citation statements)

References 8 publications

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“…Process capability indices, such as C p and C pk , have been used widely in the industry23 to evaluate the quality level of a process based on its ability to consistently perform within customer specifications (i.e. LSL and/or USL).…”

Section: Proposed Methodsmentioning

confidence: 99%

Multiresponse optimization using multivariate process capability index

Awad

Kovach

2010

Quality & Reliability Eng

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Robust design is an efficient method for product and process improvement which combines experimentation with optimization to create a system that is less sensitive to uncontrollable variation. In this article, a simple and integrated modeling methodology for robust design is proposed. This methodology achieves the robustness objective function and input variables constraints simultaneously. The objective function is written in terms of the multivariate process capability vector (MC pm ) of several competing features of the system under study. The proposed methodology is applicable to general functions of the system performance with random variables. The effectiveness of the methodology is verified using two real-world examples which are compared with those of other robust design methods. Copyright

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Section: Proposed Methodsmentioning

confidence: 99%

Multiresponse optimization using multivariate process capability index

Awad

Kovach

2010

Quality & Reliability Eng

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“…Process capability provides numerical measures on whether a process meets the customer requirement or not (Kaya & Kahraman, 2011). According to Delaney and Phelan (2008), process capability data are also important for design improvement. Beside process capability, production capacity must also be considered in the tolerance design model, especially in a make to order company.…”

Section: Literature Reviewmentioning

confidence: 99%

An Integrated Optimization Model for Product Design and Production Allocation in a Make to Order Manufacturing System

Rosyidi¹,

Fatmawati²,

Jauhari³

2016

IJTech

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A mechanical assembly consists of several components to perform an intended function. At the design stage, the intended function must be converted into critical product dimensions. After determining the dimensions, a designer must determine the assembly tolerance and allocate this tolerance to the tolerances of the corresponding components. After determining the optimal tolerances, process selection must be conducted along with production allocation to the selected process. There are three aspects in commercial competition that must be considered by a manufacturing company: cost, quality, and delivery. The aim of this research is to develop an optimization model for process selection for a make to order company to minimize manufacturing cost, quality loss, and lateness cost. The model attempts to determine optimal tolerance and production allocation, which takes into consideration the production capacity and process sequence. Hence, the model attempts to include not only the product design decision, but also to solve the process selection and allocation problems. A numerical example is provided to show the implementation of the model.

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“…Akcan and Kahraman (2008) [6] presented PCA for a machining company. Delaney and Phelan (2009) [7] used process capability data to predict product performance variation early in the design process. In this study, a method by which process capability data can be applied to predict product performance variation early in the design process was presented.…”

Section: Introductionmentioning

confidence: 99%

Gömleklik Kumaş için Proses Yeterlilik İndekslerinin Belirlenmesi

Akcan¹

2016

Çukurova Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi

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Organizations use process capability analysis to produce their products within specification limits for regular manufacturing. Process capability indices, C p (process potential indices) and C pk (process capability indices), are used as capability measures. In this study, process capability analysis and process capability indices are discussed in the context of a textile factory that produces shirting fabrics in Turkey. In this factory, it is desired that the amount of wastage fabric does not exceed the upper limit that identified from production manager. If the amount of wastage fabric increases, the number of unsatisfied customers will also increase. And, this situation is caused increasing cost and decreasing competitiveness for factory. For these reasons, C p and C pk indices were calculated for the textile factory. As a consequence of this study, we discovered that the process was inadequate precautions must be undertaken to decrease the amount of wastage fabric. Furthermore, the fabric faults which cause wastage fabric and the reasons for the process' inadequacies were also investigated.

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Design improvement using process capability data

Cited by 18 publications

References 8 publications

Multiresponse optimization using multivariate process capability index

Multiresponse optimization using multivariate process capability index

An Integrated Optimization Model for Product Design and Production Allocation in a Make to Order Manufacturing System

Gömleklik Kumaş için Proses Yeterlilik İndekslerinin Belirlenmesi

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