Accurate estimation of prediction models for operator-induced defects in assembly manufacturing processes

Galetto, Maurizio; Verna, Elisa; Genta, Gianfranco

doi:10.1080/08982112.2019.1700274

Cited by 24 publications

(23 citation statements)

References 39 publications

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“…The aim of the prediction models is to examine the financial situation of the company in time, and thus prevent potential problems. All prediction models are based on the assumption that some time before the bankruptcy of a company we can observe certain characteristic differences in the development of a bankrupt company in comparison with financially sound companies [20].…”

Section: Resultsmentioning

confidence: 99%

The usage of economic profit and other forms of profit as a part of prediction models to forecast the financial stability of business entities in the context of globalization

Karpac

Sedláková

2021

SHS Web of Conf.

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Research background: Predicting financial health of a company is in this global world necessary for each business entity, especially for the international ones, as it´s very important to know financial stability. Forecasting business failure is a worldwide known term, in a global notion, and there is a lot of prediction models constructed to compute financial health of a company and, by that, state whether a company inclines to financial boom or bankruptcy. In the current global world of uncertainty and continuous change, it is in each business’s interest to improve its performance. Businesses have to adapt to changing market conditions and keep moving to maintain their, either local or global, market position. In the past, entities preferred to increase primary accounting profit forms. The global modern goal of enterprises, value creation, is achieved through the concept of economic profit. Purpose of the article: The aim of this article was to find out the connection between two very important terms for the global economy, namely prediction models and economic profit. Methods: We focused on the research of both areas and looked for a common connection through how often different forms of profit, and especially the form of economic profit, are used in individual prediction models among the examined sample. Findings & Value added: The output of the whole article is the finding the division of the use of economic and accounting profit in the sample of models and the importance of economic profit for mathematical constructions of prediction models.

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Section: Resultsmentioning

confidence: 99%

The usage of economic profit and other forms of profit as a part of prediction models to forecast the financial stability of business entities in the context of globalization

Karpac

Sedláková

2021

SHS Web of Conf.

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“…Several models were developed in the literature to predict defects of a final assembled product [30][31][32][33][34][35][36][37][38][39]. A large part of these models relies on the close relationship between assembly complexity and defectiveness rate related to each process step, also called workstation.…”

Section: Defect Prediction Models In Inspection Planningmentioning

confidence: 99%

“…The adoption of reliable defect rate estimates can also successfully guide inspection designers in planning inspection strategies from early design phases [4,7]. Recent studies by the authors investigated the use of defect prediction models to obtain reliable estimates of the probability of occurrence of defective-workstation-outputs in assembly processes, particularly suitable for low-volume productions [29,36,38]. A workstation-output consists of a set of all units that goes thorough the workstation.…”

Section: Defect Prediction Models In Inspection Planningmentioning

confidence: 99%

“…As highlighted in the previous section, an overall assembly manufacturing process, in optimal settings condition, may be modelled by decomposing it into several process steps, also called workstations [4,29,30,36]. Each of such workstations produces an outcome, henceforth called workstation-output, whose conformity can be tested through different inspection activities.…”

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

confidence: 99%

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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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“…A large number of studies in the literature use assembly complexity to predict product defects [8,10,19,20,[11][12][13][14][15][16][17][18]. These models were developed for predictive and quality improvement purposes in several industrial fields, ranging from the electromechanical to the automotive sector.…”

Section: Conceptual Background: Defect Prediction Model For Assembly Processesmentioning

confidence: 99%

Quality Monitoring of Assembled Products by Defect Prediction Models

Verna

Genta

Galetto

et al. 2021

Preprint

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Typically, monitoring quality characteristics of very personalized products is a difficult task due to the lack of experimental data. This is the typical case of processes where the production volume continues to shrink due to the growing complexity and customization of products, thus requiring low-volume productions. This paper presents a novel approach to statistically monitor Defects Per Unit (DPU) of assembled products based on the use of defect prediction models. Unlike traditional control charts requiring preliminary experimental data to estimate the control limits (phase I), the proposed DPU-chart is constructed using a predictive model based on a priori knowledge of DPU. This defect prediction model is built on the structural complexity of assembled product. The novel approach may be of interest to researchers and practitioners to speed up the construction of the chart, especially in cases of low-volume productions due to the limited amount of data. The description of the method is supported by a real industrial case study in the electromechanical field.

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Accurate estimation of prediction models for operator-induced defects in assembly manufacturing processes

Cited by 24 publications

References 39 publications

The usage of economic profit and other forms of profit as a part of prediction models to forecast the financial stability of business entities in the context of globalization

The usage of economic profit and other forms of profit as a part of prediction models to forecast the financial stability of business entities in the context of globalization

Inspection planning by defect prediction models and inspection strategy maps

Quality Monitoring of Assembled Products by Defect Prediction Models

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