scholarly journals Development of multiscale multiphysics-based modelling and simulations with the application to precision machining of aerofoil structures

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yizhi Shao ◽  
Oluwamayokun Bamidele Adetoro ◽  
Kai Cheng
Keyword(s):  
Modelling And Simulation ◽  
Manufacturing Processes ◽  
Industrial Case Study ◽  
Content Type ◽  
Manufacturing Quality ◽  
Quality Costs ◽  
Machining System ◽  
Intrinsic Complexity ◽  
Multiphysics Modelling ◽  
Modelling And Simulations

Purpose This study aims to optimize the manufacturing process to improve the manufacturing quality, costs and delivering time with the help of multiscale multiphysics modelling and simulation. Multiscale multiphysics-based modelling and simulations are receiving more and more interest by research community and the industry particularly in the context of increasing demands for manufacturing high precision complex products and understanding the intrinsic complexity in associated manufacturing processes. Design/methodology/approach In this paper, some modelling and analysis techniques using multiscale multiphysics modelling are presented and discussed. Findings Furthermore, the possibility of adopting the multiscale multiphysics modelling and simulation to develop the virtual machining system is evaluated, and further supported with an industrial case study on abrasive flow machining (AFM) of integrally bladed rotors using the techniques and system developed. Originality/value With the development of multiscale multiphysics-based modelling and simulation, it will enable effective and efficient optimisation of manufacturing processes and further improvement of manufacturing quality, costs, delivery time and the overall competitiveness.

Data-driven quality improvement approach to reducing waste in manufacturing

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rose Clancy ◽  
Dominic O'Sullivan ◽  
Ken Bruton
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Quality Management ◽  
Process Improvement ◽  
Six Sigma ◽  
Data Driven ◽  
Manufacturing Processes ◽  
Management Performance ◽  
Chain Management ◽  
Content Type

PurposeData-driven quality management systems, brought about by the implementation of digitisation and digital technologies, is an integral part of improving supply chain management performance. The purpose of this study is to determine a methodology to aid the implementation of digital technologies and digitisation of the supply chain to enable data-driven quality management and the reduction of waste from manufacturing processes.Design/methodology/approachMethodologies from both the quality management and data science disciplines were implemented together to test their effectiveness in digitalising a manufacturing process to improve supply chain management performance. The hybrid digitisation approach to process improvement (HyDAPI) methodology was developed using findings from the industrial use case.FindingsUpon assessment of the existing methodologies, Six Sigma and CRISP-DM were found to be the most suitable process improvement and data mining methodologies, respectively. The case study revealed gaps in the implementation of both the Six Sigma and CRISP-DM methodologies in relation to digitisation of the manufacturing process.Practical implicationsValuable practical learnings borne out of the implementation of these methodologies were used to develop the HyDAPI methodology. This methodology offers a pragmatic step by step approach for industrial practitioners to digitally transform their traditional manufacturing processes to enable data-driven quality management and improved supply chain management performance.Originality/valueThis study proposes the HyDAPI methodology that utilises key elements of the Six Sigma DMAIC and the CRISP-DM methodologies along with additions proposed by the author, to aid with the digitisation of manufacturing processes leading to data-driven quality management of operations within the supply chain.

Process-Oriented Tolerance Synthesis for Multistage Manufacturing Systems

2000 ◽  
Author(s):  
Yu Ding ◽  
Jionghua Jin ◽  
Dariusz Ceglarek ◽  
Jianjun Shi
Keyword(s):  
Product Design ◽  
Process Design ◽  
Manufacturing Systems ◽  
Minimum Cost ◽  
Manufacturing Processes ◽  
Industrial Case Study ◽  
Multistage Manufacturing ◽  
Process Oriented ◽  
Design Characteristics

Abstract In multistage manufacturing systems, quality of final products is strongly affected not only by product design characteristics but also by key process design characteristics. However, historically, tolerance research has primarily focused on allocating tolerances based on product design characteristics for each component. Currently, there is no analytical approach for multistage manufacturing processes to optimally allocate tolerances to integrate product and process characteristics at minimum cost. One of the major obstacles is that the relationship between tolerances of process and product characteristics is not well understood and modeled. Under this motivation, this paper aims at presenting a framework addressing the process-oriented (rather than product-oriented) tolerancing technique for multistage manufacturing processes. Based on a developed state space model, tolerances of process design characteristics at each fabrication stage are related to the quality of final product. All key elements in the framework are described and then derived for a multistage assembly process. An industrial case study is used to illustrate the proposed approach.

A decision-making model for the rework of defective products

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
João Cláudio Soares ◽  
Anabela Pereira Tereso ◽  
Sérgio Dinis Sousa
Keyword(s):  
Decision Making ◽  
Data Collection ◽  
Decision Model ◽  
Cost Models ◽  
Total Quality ◽  
Decision Support Model ◽  
Quality Cost ◽  
Defective Items ◽  
Content Type ◽  
Quality Costs

PurposeThis paper proposes a decision support model that can be used to help decide the destination of defective products, for mass production industries. The objective of this model is to reduce the cost of the defect, and consequently reduce the total quality costs.Design/methodology/approachThe decision model was developed based on the theory of quality costs and decision-making models, considering the practical aspects of reality through data collection, observation and experience in Industrial Pole of Manaus (Brazil) industries. A decision model adjusted to reality assists in the construction of the decision process, indicating the facts, data collection and the planning of the actions to choose the best alternative.FindingsThe specific contributions of this research are: (1) define a sequential structure of actions, effects and costs associated with defective items; (2) allow a comprehensive approach to failure costs, including various elements of lost opportunity costs; (3) minimize failure costs, and consequently reduce total quality costs, without necessarily investing in prevention and assessment; (4) describe the use and application of the built theory; (5) identify the quality cost elements most representative in existence of defective items; and (6) identify improvement points in the management of possible future defective items.Originality/valueMuch of the work of implementation of quality cost models do not emphasize the analysis of the destination of defective items. Also, there are no studies that use decision models with identification, accounting and evaluation of effects and criteria of quality, productivity and cost to define the destination of manufacture defective items.

An integrated framework using VSM, AHP and TOPSIS for simplifying the sustainability improvement process in a complex manufacturing process

2019 ◽  
Vol 18 (1) ◽  
pp. 211-229 ◽  
Author(s):  
Mohyiddine Soltani ◽  
Hichem Aouag ◽  
Mohamed Djamel Mouss
Keyword(s):  
Manufacturing Process ◽  
Integrated Approach ◽  
Basic Structure ◽  
Sustainability Indicators ◽  
Value Stream Mapping ◽  
Manufacturing Processes ◽  
Improvement Strategy ◽  
Analytic Hierarchy ◽  
Content Type ◽  
Improvement Process

Purpose The purpose of this paper is to propose an integrated approach for assessing the sustainability of production and simplifying the improvement tasks in complex manufacturing processes. Design/methodology/approach The proposed approach has been investigated the integration of value stream mapping (VSM), analytic hierarchy process (AHP) and technique for order preference by similarity to ideal solution (TOPSIS). VSM is used as a basic structure for assessing and improving the sustainability of the manufacturing process. AHP is used for weighting the sustainability indicators and TOPSIS for prioritizing the operations of a manufacturing process regarding the improvement side. Findings The results carried out from this study help the managers’ staff in organizing the improvement phase in the complex manufacturing processes through computing the importance degree of each indicator and determining the most influential operations on the production. Research limitations/implications The major limitations of this paper are that one case study was considered. In addition, to an average set of sustainability indicators that have been treated. Originality/value The novelty of this research is expressed by the development of an extended VSM in complex manufacturing processes. In addition, the proposed approach contributes with a new improvement strategy through integrating the multi-criteria decision approaches with VSM method to solve the complexity of the improvement process from sustainability viewpoints.

scholarly journals Managerial and Industry 4.0 solutions for fashion supply chains

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Marcello Braglia ◽  
Leonardo Marrazzini ◽  
Luca Padellini ◽  
Rinaldo Rinaldi
Keyword(s):  
Supply Chains ◽  
Lean Manufacturing ◽  
Industry 4.0 ◽  
Design Methodology ◽  
Industrial Case Study ◽  
Content Type ◽  
Enabling Technologies ◽  
Production Orders ◽  
Practical Implications

PurposeThe purpose of this paper is to present a structured framework whose objectives are to identify, analyse and eliminate fashion-luxury supply chains inefficiencies.Design/methodology/approachA Lean Manufacturing tool, the 5-Whys Analysis, has been used to find out the root causes associated with the problem identified from a data analysis of production orders of a fashion-luxury company. A case study, which explains the methodology and illustrates the capability of the tool, is provided.FindingsThis tool can be considered a suitable instrument to identify the causal factors of inefficiencies within luxury supply chains, suggesting potential countermeasures able to eliminate the problems previously highlighted. In addition, enabling technologies that deal with Industry 4.0 are associated with the root causes to enable further improvement of the supply chain.Practical implicationsThe effectiveness and practicality of the tool are illustrated using an industrial case study concerning an international Italian signature in the world of fashion-luxury footwear sector.Originality/valueThis framework provides practitioners with an operative tool useful to highlight where the major inefficiencies of fashion-luxury supply chains take place and, at the same time, individuates both the root causes of inefficiencies and the corresponding corrective actions, even considering Industry 4.0 enabling technologies.

Complex maintenance programs quantification (CMPQ) to better control production systems

2014 ◽  
Vol 25 (4) ◽  
pp. 491-509 ◽  
Author(s):  
Thomas Ruin ◽  
Eric Levrat ◽  
Benoît Iung ◽  
Antoine Despujols
Keyword(s):  
Expert Knowledge ◽  
Model Development ◽  
Added Value ◽  
Target System ◽  
System Modelling ◽  
Real Problem ◽  
Industrial Case Study ◽  
Content Type ◽  
Executable Model

Purpose – The purpose of this paper is to develop a methodology for supporting complex maintenance programs quantification (CMPQ) for industrial systems. The methodology is based on a generic formalization of static and behavioral expert knowledge both on the target system and on the maintenance one. The formalization is carried out first by means of system modelling language (SysML) diagrams to model knowledge concepts and second by the transformation of these concepts into Altarica data flow (ADF) language for developing stochastic simulation. Design/methodology/approach – An industrial case study (ARE system) proposed by the electricite de France (EDF) company is used initially to show a real problem statement on CMPQ. It allows highlighting key scientific issues considered as the basis for methodology development. Main issues are related to static and dynamic knowledge formalization justifying the choice of SysML and ADF languages. The added value of this methodology is finally shown on the same case study serving as benchmark. Findings – This paper demonstrates the suitability of using of SysML language for modelling the CMPQ knowledge and then of ADF language in building executable model implementing simulation as needed for assessing key performance indicators of CMPQ. ADF is based on formal mode automaton. Mapping rules are developed to ensure correspondence between the concepts of these two languages. Research limitations/implications – Additional industrial validations of the methodology should be performed to really evaluate its benefits. Practical implications – This work was made possible thanks to a partnership with the EDF Company (French energy supplier). The results are therefore directly usable at practical industrial levels. Originality/value – The CMPQ methodology proposed is fully generic leading to offering a library of atomic ADF components (COTS) which can be instantiated to develop executable model with regards to each specific application. It allows to favor reusability and makes easier the model development above all for a user who knows nothing about the language.

Addressing alignment concerns into the design of domain-specific information systems

2018 ◽  
Vol 29 (5) ◽  
pp. 726-745 ◽  
Author(s):  
Oscar Avila ◽  
Virginie Goepp ◽  
François Kiefer
Keyword(s):  
Information Systems ◽  
Manufacturing Industry ◽  
Specific Information ◽  
Manufacturing Strategy ◽  
Design And Development ◽  
Industrial Case Study ◽  
Specific Domain ◽  
Content Type ◽  
Domain Specific ◽  
Product Manufacturing

Purpose The purpose of this paper is to find alignment concerns (e.g. requirements, restrictions and issues) and addressing them into the design and development of domain-specific information systems (ISs) supporting product manufacturing. Design/methodology/approach The approach is based on two metamodels of the Strategic Alignment Model that formalise its underlying concepts. The metamodels are used to build specific alignment models that define the elements to be aligned and the corresponding alignment sequences. The models and alignment sequences are intended to guide the design and development of an “aligned” domain-specific IS. An industrial case study for the manufacturing industry shows the feasibility of this approach. Findings The instantiation of the alignment models components with information about the specific-domain IS project enabled us to deal with current and future concerns into the design of ISs aligned with the manufacturing strategy and infrastructures. Originality/value IS alignment is generally tackled at a strategic level, in this paper the operational and tactical levels are also addressed.

The influence of the quality criteria on the quality cost of suppliers in SMEs

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ehsan Masoudi ◽  
Arash Shahin
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Manufacturing Industry ◽  
Quality Criteria ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Quality Cost ◽  
Content Type ◽  
Quality Costs

PurposeAfter quality costing, most companies do not know how to invest in supplier quality improvement. This study aims to develop a comprehensive model for the effect of supplier quality criteria on supplier quality costs.Design/methodology/approachThe independent variable of supplier quality criteria and the dependent variable of supplier quality costs have been identified based on a literature review. Then a model has been developed for the effect of the variables. A questionnaire has been designed and distributed to 158 small and medium enterprises (SMEs) in Jey Industrial Town located in the Isfahan Province. Structural equation modeling and partial least square structural equation modeling (PLS-SEM) have been used for data analysis.FindingsSupplier quality criteria influenced supplier quality costs (with a value of 0.711). The results also implied that organizational quality had the highest impact. The appraisal costs and the internal failure costs of purchasing received most of the influence. Also, process quality and consequential costs of failure purchasing had the lowest influencing and influenced values.Practical implicationsThe findings of this research encourage the managers of SMEs to evaluate and rank the most appropriate quality criteria related to quality costs for selecting a supplier as one of the most fundamental decisions in supply chain management.Social implicationsAppropriate selection of quality criteria influencing quality costs results in reduced quality cost. Quality cost reduction also results in decreased products' fixed prices. Ultimately, the company will have more competitive pricing, and consumers will benefit from such a significant advantage.Originality/valueStudying the influence of supplier quality criteria on supplier quality costs is relatively new in the manufacturing industry. The comprehensiveness of the investigated variables is also another advantage of the proposed model.

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