Cost-of-Quality Optimization via Zero-One Polynomial Programming

Lim, Churlzu; Sherali, Hanif D.; Glickman, Theodore S.

doi:10.1080/0740817x.2014.928964

Cited by 20 publications

(18 citation statements)

References 29 publications

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“…The existing models of quality costs, on the category of internal failures, do not describe the effects that defective items have on cost. Additionally, the same models do not identify decisions and actions that companies should do after a defective item is identified, which influences the determination of the related effects and, consequently, the failure cost (Alglawe et al , 2019; Arabian et al , 2013; Campanella, 1999; Chopra and Garg, 2011, 2012; Duarte et al , 2016; Fons, 2012; Holota et al , 2016; Jaju et al , 2009; Johnson, 1995; Juran and Godfrey, 1999; Kiani et al , 2009; Lim et al , 2015; Malik et al , 2016; Omar and Murgan, 2014; Ozcan, 2012; Pires et al , 2013; Plewa et al , 2016; Psomas et al , 2018; Sailaja et al , 2015; Schiffauerova and Thomson, 2006, 2013; Su et al , 2009; Superville and Gupta, 2001).…”

Section: Introductionmentioning

confidence: 99%

Industry practices on the rework of defective products: survey results

Soares

Sousa

Tereso

2020

TQM

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PurposeThe general objective of this research was to identify the practices of the mass production industries, on the decisions related to the detection of defective products and to identify relevant criteria, actions, effects and variables to be used in a decision-making model.Design/methodology/approachA survey questionnaire was developed and structured in 20 questions, with 18 closed questions and 2 open questions. The questions were constructed based on the literature review, with the identification of 15 theoretical and practical concepts of quality. Seven other information requests were included, concerning the initial characterization of the defective items and industry. The company, the product, the processes and the defects were contextualized, and then the decision-making process was framed, to understand the factors that influenced it.FindingsThe industries of the Industrial Pole of Manaus discard or rework their defective products influenced by promoting the lowest cost and the required quality. The factors with the biggest influence on decisions are rework and disposal costs, and time available for rework and replacement. The main requirements defined for the decision-making model were: 1) compare the rework and discard options, only if the rework reaches the required quality level; and 2) identify and account the effects of defective items on quality, productivity and costs.Research limitations/implicationsOverall, 109 questionnaires were sent, representing 21.3% (109/512) of the companies at the Industrial Pole of Manaus. The respondents represent 14.6% (75/512) of the population.Originality/valueDefects can occur, requiring a decision that promotes the lowest cost and the required quality. Quality cost models do not show a systematic analysis for identification, accounting, evaluation of effects and criteria associated with the destination of manufactured defective items. Therefore this research was done to fill this gap.

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Section: Introductionmentioning

confidence: 99%

Industry practices on the rework of defective products: survey results

Soares

Sousa

Tereso

2020

TQM

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“…by the American Society for Quality [3]. The PAF model uses the preventive cost, appraisal cost and failure cost to describe the total quality costs [4]- [6]. According to the PAF model, we know that parameter design and tolerance design are important sources of preventive and appraisal cost.…”

Section: Introductionmentioning

confidence: 99%

Parameter and Tolerance Economic Design for Multivariate Quality Characteristics Based on the Modified Process Capability Index With Individual Observations

Gu¹,

Tong²,

Han³

et al. 2019

IEEE Access

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The process capability index (PCI) is widely used in an on-line quality control stage for measuring and controlling the quality level of a production process. The calculation of PCI requires a large number of samples, but in the off-line quality control stage, a certain production process in off-line quality control stage only has a few individual observations. From the perspective of quality loss and tolerance cost, this paper proposes a parameter and tolerance economic design approach for multivariate quality characteristics based on the modified PCI with individual observations. The response surface models of mean and variance are constructed using individual observations, and exponential models are fitted according to the tolerance cost data of design variables. A modified PCI is proposed with the consideration of three types of quality characteristics. The optimal design variables and tolerances are obtained by a comprehensive optimization model that is constructed based on the proposed PCI. An example of an isobutylene-isoprene rubber (IIR) inner tube is used to (i) demonstrate the implementation of our proposed approach, (ii) improve the PCI value and reflect the sensitivity of the deviation between process mean and specification, and (iii) reduce the risk of increasing cost of quality caused by replicated experimental design and some other unknown reasons.INDEX TERMS Parameter, tolerance, economic design, multivariate quality characteristics, process capability index, individual observations.

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“…Some authors (e.g. Oppermann et al, 2003;Abdul-Kader et al, 2010;Lim C, 2015;Lim T. K et al, 2015) gave proposals for quality cost optimization in different process environments.…”

Section: Introductionmentioning

confidence: 99%

A Model for Prioritization of Improvement Opportunities Based on Quality Costs in the Process Interdependency Context

Glogovac

Filipović

Zivkovic

et al. 2019

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In this paper, the PAF (preventive-appraisal-failure) quality costs model is used on the process level, in order to identify those processes which are critical as a top-priority for improvement. The elements of quality costs are considered in relation to the outputs of the processes, where the principle that one process affects the quality of another process by its outputs is taken into account. That is why the failure costs of the affected processes should also be assigned to the quality costs of the observed process. Using the factors proposed in the Process cost model, costs are identified and calculated for each process for two moments: the current (before improvements) and desired (after improvements). Improvements are implemented on the basis of the causes of nonconformity analysis and according to the PAF model assumption that preventive and appraisal activities reduce failure costs and the total costs of quality. The difference between the total costs of quality in two observed moments is seen as the greatest possible quality cost reduction for the observed process. This value is used as a criterion for ranking the processes according to their priority for improvements, taking into account the assumption of the PAF model that greater costs mean lower quality and hence a higher priority for improvement.

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Cost-of-Quality Optimization via Zero-One Polynomial Programming

Cited by 20 publications

References 29 publications

Industry practices on the rework of defective products: survey results

Industry practices on the rework of defective products: survey results

Parameter and Tolerance Economic Design for Multivariate Quality Characteristics Based on the Modified Process Capability Index With Individual Observations

A Model for Prioritization of Improvement Opportunities Based on Quality Costs in the Process Interdependency Context

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