Linking product quality and customer behavior for performance analysis and optimization of make-to-order manufacturing systems

Konstantas, Dimitris; Ioannidis, Stratos; Kouikoglou, Vassilis S.; Grigoroudis, Evangelos

doi:10.1007/s00170-017-1225-x

Cited by 7 publications

(5 citation statements)

References 24 publications

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“…which includes quality analysis, maintenance models for quality improvement, predictive analysis, industrial quality control, nonconformities handling methodologies, different correlations between process steps, six sigma, and SPC tools, continuous improvement approaches, quality optimizations, and process modelling, AR methods integration, problem-solving approaches, and lean manufacturing tools. (Teli et al, 2013;Yang et al, 2021) Quality assurance (Colledani et al, 2014;Eger et al, 2018;Haefner et al, 2014;Duong et al, 2021;Alves et al, 2021;Alexandru et al, 1998;Osanna et al, 2001;Nikolay, 2016;Ransing et al, 2016;Gewohn et al, 2018;Dantan et al, 2020;Khan et al, 2021) Quality control (Durakbasa et al, 1992;Oh et al, 2019;Wu, 2004;Korytkowski et al, 2008;Colledani, 2008;Muthu et al, 2009;Hajji et al, 2012;Villeta et al, 2012;Lv et al, 2012;Jovic et al, 2013;Ordieres-Meré et al, 2013;Achcar et al, 2013;Žapčević and Butala, 2013;Chang and Lee, 2013;Liu et al, 2014;Xia et al, 2014;Dodd et al, 2015;Filho and de Oliveira, 2016;Duffuaa and El Gaaly, 2017;Konstantas et al, 2018;Wang et al, 2018;Hofmann et al, 2019;Guo et al, 2019;Gaikwad et al, 2019;Wang and Wu, 2019;…”

Section: Quality Management Overview and Tabulationmentioning

confidence: 99%

“…A realistic multi-objective optimization model that integrates measurement errors in the inspection system and process targeting. Konstantas et al, 2018 A queuing network model was developed for understanding the way product quality may affect the profitability of production systems. Wang et al, 2018 A deep model framework to solve the deficiency of automated quality visual inspection.…”

Section: Duffuaa and El Gaaly 2017mentioning

confidence: 99%

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Quality and Risk Management in Industrial Production Systems: A Literature Review

Baltag

Morariu

2022

Bulletin of the Polytechnic Institute of Iași. Machine Constructions Section

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Nowadays quality management and specific tools can represent a challenge in SMEs (small and medium enterprises). To assure the expected quality of the products, SPC (statistical process control) combined with industry 4.0 specifics offer instantaneous responses and triggers for needed actions. Therefore, risk analyses are used as enablers for quality-oriented behaviour, and risk mitigation and identification, together with collected data, represent a comprehensive system that leads enterprises to achieve the expected performance level needed to remain competitive in the market. In addition, risk management and quality management cannot be treated without looking at the maintenance activities and policies which can have a considerable impact on those two. This paper provides a comprehensive literature review of the papers from the quality management sector and articles where risk management and maintenance are seen as facilitators for quality improvement with an impact on the performance level. The main contribution of each paper is listed in the table which simplifies the reader’s access to the work done in the field and the overview presented enables easy access to trends in this field and offers a starting point for future research by presenting the gaps.

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Section: Quality Management Overview and Tabulationmentioning

confidence: 99%

Section: Duffuaa and El Gaaly 2017mentioning

confidence: 99%

Quality and Risk Management in Industrial Production Systems: A Literature Review

Baltag

Morariu

2022

Bulletin of the Polytechnic Institute of Iași. Machine Constructions Section

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“…• effective optimisation, meaning, for example, that if a 0.1% energy efficiency bonus can be achieved, the optimisation system should find it. Thus the optimisation approach should find a solution very close to the optimal one, • more than two criteria, meaning that in addition to cost and cycle time, more and more often, criteria relevant to quality (Konstantas et al 2018), technical performance (efficiency, power, space . .…”

Section: Cppc Optimisation Problem and Industrial Issuesmentioning

confidence: 99%

Optimisation of the concurrent product and process configuration: an approach to reduce computation time with an experimental evaluation

Pitiot

Monge

Aldanondo

et al. 2019

International Journal of Production Research

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Concurrent configuration of a product and its associated production process is a challenging problem in customer/supplier relations dealing with customisable or configurable products. It gathers in a single model multiple choices and constraints which come simultaneously from products (choices of components or functionalities), from processes (choices of resources and quantities) and from their mutual interrelations. Considering this problem as a Constraint Satisfaction Problem (CSP), the aim of this article is to improve its optimisation, while considering multiple objectives. Using an existing evolutionary optimisation algorithm as a basis, we propose an approach that reduces the computation time required for optimisation. The idea is first to quickly compute a rough Pareto of solutions, then ask the user to select an area of interest, and finally to launch a second computation on this restricted area. After an introduction to the problem, the approach is explained and the algorithm adaptations are presented. Then various computation experiments results demonstrate that computation times are significantly reduced while keeping the optimality level.

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“…The profitability of a company's production systems is strongly related to the extent to which it offers quality. Also, the subsequent purchase behavior of a customer significantly depends upon the level of the quality of the first purchased product [117]. Amongst the reviewed articles, 30% identified quality as an essential decision criterion for the integration of S&OP processes with supply chain functionalities.…”

Section: Qualitymentioning

confidence: 99%

The Integration of Extended Supply Chain with Sales and Operation Planning: A Conceptual Framework

Rokonuzzaman

2018

Logistics

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This research is an effort to present the emergence of ways to enable marketers to attain high sensitivity and visibility in the supply chain network. It also aims to facilitate better multi-criteria decisions throughout the extended supply chain. It is a qualitative study considering 31 published research articles related to supply chain integration, sales and operation planning, and the use of information systems. With a focus on narrative data, a purposive sampling technique was used to select the papers for review and to produce the results of this study. The findings of this research indicate that the sales and operation planning (S&OP) processes and the key operations in the supply chain network need to be fully integrated. The findings also indicate that information system resources are the key enabler of S&OP and supply chain integration. To be specific, this research is an exercise in theorizing a conceptual framework for optimally confronting the emerging challenges and opportunities regarding an extended supply chain and is intended to bring the proficiency of multi-criteria decisions and actions in the entire supply chain network.

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Linking product quality and customer behavior for performance analysis and optimization of make-to-order manufacturing systems

Cited by 7 publications

References 24 publications

Quality and Risk Management in Industrial Production Systems: A Literature Review

Quality and Risk Management in Industrial Production Systems: A Literature Review

Optimisation of the concurrent product and process configuration: an approach to reduce computation time with an experimental evaluation

The Integration of Extended Supply Chain with Sales and Operation Planning: A Conceptual Framework

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