Simulation in Quality Management – An Approach to Improve Inspection Planning

Crostack, H.‐A.; Höfling, M.; Liangsiri, Jirapha

doi:10.14311/696

Cited by 6 publications

References 3 publications

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Quality costs and Industry 4.0: inspection strategy modelling and reviewing

Reis,

Dall-Orsoletta,

Nunes

et al. 2024

Int J Adv Manuf Technol

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Inspection strategy (IS) is a key component impacting quality costs. Although often considered an inflexible output of initial quality plans, it may require revisions given the dynamic quality situation of the manufacturing system. It is from this background that the present study aims to model and compare different IS based on the cost of quality (CoQ) approach for a case study in the automotive manufacturing industry. While many computational inspection strategy models (ISMs) are available in the literature, most of them face application challenges and struggle to incorporate real-world data. The present study addresses this gap by developing a model that not only represents a real testing station in a manufacturing line but also uses historical production data. Additionally, in relation to model inputs, this study explores the challenges and opportunities of acquiring reliable quality cost estimates in the Industry 4.0 context. Among the main contributions of this work, the developed CoQ-based ISM can be used as a decision-making aiding tool for inspection revision and improvement, while conclusions about quality cost data collection in the industrial digitalization context can help advance the CoQ approach in practice.

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Quality costs and Industry 4.0: inspection strategy modelling and reviewing

Reis,

Dall-Orsoletta,

Nunes

et al. 2024

Int J Adv Manuf Technol

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Allocation of quality control stations in multistage manufacturing systems

Shetwan

Vitanov

Tjahjono

2011

Computers & Industrial Engineering

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The allocation of quality control stations (AQCs) in multi-stage manufacturing systems has been studied extensively over the last fifty years. The objective of this paper is to review the existing approaches, propose a classification of the available models in terms of the type of manufacturing system that they refer to and the applied solution methods, and then examine the effectiveness of the inspection strategies by developing appropriate generalised algorithm and software tool. The review firstly revealed that the inspection allocation problem has been studied comprehensively using variety of analytical and Monte Carlo simulation methods rather than combination of both simulation techniques in a simulation-optimisation framework. Secondly a large proportion of the papers focus on several work stations representing part of a manufacturing line without attempting to solve the global optimisation problem which lead to solutions based on complete enumeration that are known to be computationally ineffective when the number of workstations increase. The developed simulation program demonstrated that methods determining the position of inspection by using complete enumeration method (EM) are of limited use in the majority of manufacturing situations when the number of workstations exceeds eighteen. This led to the development of a heuristic algorithm the performance of which was compared with the complete enumeration algorithm. It was found that heuristic method can derive an acceptable solution significantly faster. At present authors continue to develop heuristic algorithms for the AQCs problem and methaheuristics using biologically inspired techniques.

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