Uncertainty evaluation in the prediction of defects and costs for quality inspection planning in low-volume productions

Galetto, Maurizio; Verna, Elisa; Genta, Gianfranco; Franceschini, Fiorenzo

doi:10.1007/s00170-020-05356-0

Cited by 20 publications

(32 citation statements)

References 37 publications

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“…(7). On the other hand, α i and β i can be estimated by the use of simulations, prediction models and/or empirical methods, based on historical data, previous experience on similar processes, and process knowledge [4,29,51].…”

Section: Inspection Strategy Performances (Effectiveness and Total Cost)mentioning

confidence: 99%

“…A typical inspection strategy performance may be assessed by two inspection indicators which depict the overall effectiveness and economic convenience of an inspection strategy [5,7,52,53]. As explained in authors' recent studies [4,29,51], the inspection effectiveness of an inspection strategy may be represented using a practical indicator, D tot , defining the mean total number of defective-workstation-outputs which are erroneously not detected after completing the overall inspection strategy, as follows [4,29]:…”

Section: Inspection Strategy Performances (Effectiveness and Total Cost)mentioning

confidence: 99%

“…The total cost related to the inspection strategy may be estimated by the total cost indicator, C tot , that includes the cost of the specific inspection activity, the necessary-and the unnecessary-repair costs, and the cost of undetected defects, as shown in Eq. ( 9) [4,51]. Since such indicator assesses the total cost related to the inspection strategy in use, it can be used as a proxy for the affordability of the inspection strategy.…”

Section: Inspection Strategy Performances (Effectiveness and Total Cost)mentioning

confidence: 99%

“…p i , α i , β i , c i , NRC i , URC i and NDC i , can be combined and propagated to the resulting indicators D tot and C tot [54,55]. A detailed description and implementation of the method is provided in the recent study of the authors [51]. Accordingly, the uncertainty, expressed in terms of variance, VAR, of the indicators of effectiveness and total cost is, respectively:…”

Section: Inspection Strategy Performances (Effectiveness and Total Cost)mentioning

confidence: 99%

“…Specifically, the variance of probabilities p i is obtained by composing the uncertainties of the two regression models parameters shown in Eq. ( 6) by using the approach proposed in Verna et al [51]. Besides, the variances of inspection errors (α i and β i ) and the costs (c i , NRC i , URC i and NDC i ) are estimated by the inspectors based on previous experience.…”

Section: Inspection Strategies Positioning Using the Ismmentioning

confidence: 99%

See 4 more Smart Citations

Inspection planning by defect prediction models and inspection strategy maps

Verna

Genta

Galetto

et al. 2021

Prod. Eng. Res. Devel.

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Designing appropriate quality-inspections in manufacturing processes has always been a challenge to maintain competitiveness in the market. Recent studies have been focused on the design of appropriate in-process inspection strategies for assembly processes based on probabilistic models. Despite this general interest, a practical tool allowing for the assessment of the adequacy of alternative inspection strategies is still lacking. This paper proposes a general framework to assess the effectiveness and cost of inspection strategies. In detail, defect probabilities obtained by prediction models and inspection variables are combined to define a pair of indicators for developing an inspection strategy map. Such a map acts as an analysis tool, enabling positioning assessment and benchmarking of the strategies adopted by manufacturing companies, but also as a design tool to achieve the desired targets. The approach can assist designers of manufacturing processes, and particularly low-volume productions, in the early stages of inspection planning.

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Section: Inspection Strategy Performances (Effectiveness and Total Cost)mentioning

confidence: 99%

Section: Inspection Strategy Performances (Effectiveness and Total Cost)mentioning

confidence: 99%

Section: Inspection Strategy Performances (Effectiveness and Total Cost)mentioning

confidence: 99%

Section: Inspection Strategy Performances (Effectiveness and Total Cost)mentioning

confidence: 99%

Section: Inspection Strategies Positioning Using the Ismmentioning

confidence: 99%

See 3 more Smart Citations

Inspection planning by defect prediction models and inspection strategy maps

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Galetto

et al. 2021

Prod. Eng. Res. Devel.

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Toward a Collaborative Sensor Network Integration for SMEs’ Zero-Defect Manufacturing

Tanane

Dafflon

Bentaha

et al. 2022

IFIP Advances in Information and Communication Technology

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A new approach for evaluating experienced assembly complexity based on Multi Expert-Multi Criteria Decision Making method

2023

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In manufacturing, complexity is considered a key aspect that should be managed from the early phases of product and system design to improve performance, including productivity, efficiency, quality, and costs. The identification of suitable methods to assess complexity has always been of interest to researchers and practitioners. As complexity is affected by several aspects of different nature, it can be assessed from objective or subjective viewpoints or a combination of both. To assess experienced complexity, the analysis relies on the subjective evaluations given by practitioners, usually expressed on nominal or ordinal scales. However, methods found in the literature often violate the properties of the scales, potentially leading to bias in the results. This paper proposes a methodology based on the analysis of categorical data using the multi expert-multi criteria decision making method. A number of criteria are adopted to assess assembly complexity and, from subjective evaluations of operators, product assembly complexity is assessed at an individual level and then, aggregating results, at a global level. A comparison between experienced complexity and an objective assessment of complexity is also performed, highlighting similarities and differences. The assessment of experienced complexity is much more straightforward and less demanding than objective assessments. However, this study showed that it is preferable to use objective assessments for highly complex products as individuals do not discriminate between different complexity levels. An experimental campaign is conducted regarding a manual assembly of ball-and-stick products to show the applicability of the methodology and discuss the results.

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Uncertainty evaluation in the prediction of defects and costs for quality inspection planning in low-volume productions

Cited by 20 publications

References 37 publications

Inspection planning by defect prediction models and inspection strategy maps

Inspection planning by defect prediction models and inspection strategy maps

Toward a Collaborative Sensor Network Integration for SMEs’ Zero-Defect Manufacturing

A new approach for evaluating experienced assembly complexity based on Multi Expert-Multi Criteria Decision Making method

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