Implementation Of Manufacturing Research Articles

Digital Twin Implementation in Additive Manufacturing: A Comprehensive Review

Digital Twin Implementation in Additive Manufacturing: A Comprehensive Review

Consolidating lean practices with quick-response manufacturing: a boon or bane for the textiles industry during the era of COVID-19

Purpose This study aims to find out whether firms in the local textiles industry are benefiting from the combined implementation of lean practices (LPs) and quick-response manufacturing (QRM) during the era of COVID-19. The study further explores the mediating role played by quick response manufacturing in the relationship between LPs, internal process performance (IPP) and customer performance. Design/methodology/approach A questionnaire is used to garner data from 123 local firms in Ghana’s textile industry. The analysis for all the hypothesized relationships is done using partial least square structural equation. Findings The results of the study indicate that LPs significantly strengthen the implementation of QRM. The result also suggests that LPs and QRM can be combined to influence IPP and customer performance. The results further suggest that QRM mediates the relationship between LPs, IPP and customer performance. Originality/value This study proposes and develops an integrated research model that explores the synergistic application of LPs and QRM in achieving improvements in IPP and customer performance from an emergent country perspective during the era of COVID-19. QRM serves as an important mechanism through which the relationship between LPs, IPP and customer performance can be explained.

Evaluation of sustainable manufacturing performance – A case illustration with multistakeholder perspective

Increasing awareness on achieving the targets of sustainable development goals led to the various discussions on sustainability in manufacturing applications. Sustainable manufacturing has been considered as one of the key factors for achieving sustainable consumption and production. Considering the advantages, sustainable manufacturing has been discussed with various perspectives in order to improve the sustainable manufacturing performances. This study considers one of the perspectives where other studies are limited within the context of sustainable manufacturing performances, multi-stakeholder perspectives. The sustainable manufacturing performances has been collected and evaluated with multi criteria decision making methodology, best worst method. The three multi stakeholder perspectives have been considered for this study which includes manufacturer perspective, customer perspective and government perspective. The collected sustainable manufacturing performances were evaluated based on these different multi-stakeholder perspectives, in order to understand the similarities and differences among multiple stakeholders in the implementation of sustainable manufacturing through its performances. The detailed discussion of obtained results was explored and acknowledged with existing literature support along with the response from case industrial managers. The similarities and differences of opinion among different stakeholders has been explored to provide fruitful contributions to both academic and scientific community. The key managerial implication of this study is that assisting the industrial managers to focus on influential sustainable manufacturing performances instead of focussing less influential ones based on the opinions of different stakeholders.

A Matrix Completion Method for Imputing Missing Values of Process Data

Real-time process data are the foundation for the successful implementation of intelligent manufacturing in the chemical industry. However, in the actual production process, process data may randomly be missing due to various reasons, thus affecting the practical application of intelligent manufacturing technology. Therefore, this paper proposes the application of appropriate matrix completion algorithms to impute the missing values of real-time process data. Considering the characteristics of online missing value imputation problems, this paper proposes an improved method for a matrix completion algorithm that is suitable for real-time missing data imputation. By utilizing real device data, this paper studies the impact of algorithm parameters on the effect of missing value imputing and compares it with several classical missing value imputing methods. The results show that the introduced method achieves higher accuracy in data imputation compared to the baseline method. Furthermore, the proposed enhancement significantly improves the speed performance of algorithms.

Key action strategies for introducing smart manufacturing to small manufacturing industries

The global business environment is undergoing significant changes due to the impact of COVID-19 and shifts in workforce demographics, making organizational change an inevitable trend. In this context, the smooth adoption of smart manufacturing in the manufacturing industry is crucial for enhancing organizational value. Through a literature review, this study consolidated key factors related to organizational innovation and the implementation of smart manufacturing. The analytic hierarchy process (AHP) was employed to identify the prioritized sequence of key strategic actions for innovative operations. The results indicated that among 27 assessment indicators, motivation is the most crucial factor for organizational innovation/change. Subsequently, organizations must also prioritize strategic human resource deployment to accelerate the development of long-term organizational goals. This study further examined solutions to ensure both talent and organizational growth during the transformation of innovation strategies.

Implementation of Additive Manufacturing in the Healthcare Supply Chain for Circular Economy Goals: Paradoxical Tensions and Solutions from an Industry 5.0 Perspective

AbstractThis study addresses the paradoxical tensions that arise during additive manufacturing (AM) implementation for circular economy goals in the healthcare sector. Using the lens of paradox theory, this study identifies four competing priorities that stakeholders may encounter while adopting AM. Focus group discussions among 12 industry experts from the healthcare supply chain were conducted to verify the paradoxes. Semi-structured interviews were then conducted with 10 industry experts to derive the solutions to manage these tensions from an Industry 5.0 perspective to achieve the full benefits of AM. This study expands paradox theory into the AM literature and provides a novel ‘both/and’ perspective (i.e. a pluralistic rather than a dualistic perspective) to look at emerging tensions encountered while implementing AM in the healthcare sector. This perspective will help decision-makers realise that these tensions can be managed over time to turn them into creative, rather than destructive, forces.

Sustenance Strategies for Lean Manufacturing Implementation in Malaysian Manufacturing Industries

This study aims to investigate the relationship between sustaining factors and lean manufacturing implementation. This survey-based study was a cross-sectional study and the samples were drawn by using cluster sampling procedure from medium and large manufacturing companies based on the Federation of Manufacturers Malaysia (FMM) with the final number of 151 respondents. In total, four hypotheses were developed and tested statically using PLS-SEM through SmartPLS software. The result provided evidence that lean culture, lean leadership, and lean knowledge management have a positive relationship on lean manufacturing implementation. However, lean supplier management does not have a positive relationship on lean manufacturing implementation. The survey was responded by middle and top-level management from the discrete manufacturing industries. Although there is growing interest in empirical shreds of evidence in favor of sustaining lean, this study provides a comprehensive view of sustaining factors for lean manufacturing implementation. Hence, this study contributes to expanding the boundary of the existing literature and contributes to the body of knowledge while providing insights to practitioners in tailoring strategies to sustain lean manufacturing implementation and leverage their performance.

A Review: High-Precision Angle Measurement Technologies.

Angle measurement is an essential component of precision measurement and serves as a crucial prerequisite for high-end manufacturing. It guides the implementation of precision manufacturing and assembly. The current angle measurement methods mainly focus on multiple axes, high precision, and large measurement ranges. This article introduces the technology of angle measurement from the perspectives of single-axis and multi-axis measurement schemes. Firstly, the single-axis measurement scheme is primarily achieved through optical methods, such as encoder discs that measure energy changes and interferometric phase changes, as well as mechanical, electromagnetic, and inertial angle measurement methods, among which interferometric methods offer the highest accuracy, with high cost, and encoder discs provide the largest measurement range with an ordinary price. Secondly, in the multi-axis measurement scheme, autocollimation instruments, including plane mirrors, gratings, and self-designed targets, are the main options. Although grating encoders can achieve three degrees of freedom in angle measurement with an ordinary price, they are limited in terms of measurement range and sensitivity compared to self-designed targets. Lastly, artificial intelligence assistance precision measurement is increasingly being embraced due to significant advancements in computer performance, making it more convenient to identify the relationship between measured values and detection values. In conclusion, angle measurement plays a crucial role in precision manufacturing, and the evolving and improving technologies provide the manufacturing industry with greater choices. The purpose of this review is to help readers quickly find more suitable technical solutions according to current application requirements, such as single/multiple axes, accuracy level, measuring range, budget, etc.

Identification of Barriers to Sustainable Manufacturing Implementation—The Perspective of Manufacturers of Parts and Components for Agricultural Transport

Sustainable manufacturing involves executing manufacturing processes in a way that follows the sustainable development principles, striving to combine economic, ecologic and social goals. The expected benefits of sustainable manufacturing are a lower cost and an improved environmental impact and well-being of employees. The main goal of the research was to identify barriers to the implementation of sustainable manufacturing principles. Achieving the main goal required the implementation of partial goals: (G1) designing the research tool based on the specific features of sustainable manufacturing identified based on the literature research; (G2) identifying of barriers that limit and/or prevent the implementation of sustainable manufacturing; and (G3) assessing the significance of individual factors limiting (preventing) implementation. The research was conducted in the agricultural transport sector and the subjects of the research were manufacturers of parts and subassemblies for agricultural transport. The ranking of limitations and barriers enables the definition of recommendations for companies willing to implement sustainable manufacturing concepts.

Subtractive processing and surface integrity of additive manufacturing materials

PurposeAs an advanced manufacturing method, additive manufacturing (AM) technology provides new possibilities for efficient production and design of parts. However, with the continuous expansion of the application of AM materials, subtractive processing has become one of the necessary steps to improve the accuracy and performance of parts. In this paper, the processing process of AM materials is discussed in depth, and the surface integrity problem caused by it is discussed.Design/methodology/approachFirstly, we listed and analyzed the characterization parameters of metal surface integrity and its influence on the performance of parts and then introduced the application of integrated processing of metal adding and subtracting materials and the influence of different processing forms on the surface integrity of parts. The surface of the trial-cut material is detected and analyzed, and the surface of the integrated processing of adding and subtracting materials is compared with that of the pure processing of reducing materials, so that the corresponding conclusions are obtained.FindingsIn this process, we also found some surface integrity problems, such as knife marks, residual stress and thermal effects. These problems may have a potential negative impact on the performance of the final parts. In processing, we can try to use other integrated processing technologies of adding and subtracting materials, try to combine various integrated processing technologies of adding and subtracting materials, or consider exploring more efficient AM technology to improve processing efficiency. We can also consider adopting production process optimization measures to reduce the processing cost of adding and subtracting materials.Originality/valueWith the gradual improvement of the requirements for the surface quality of parts in the production process and the in-depth implementation of sustainable manufacturing, the demand for integrated processing of metal addition and subtraction materials is likely to continue to grow in the future. By deeply understanding and studying the problems of material reduction and surface integrity of AM materials, we can better meet the challenges in the manufacturing process and improve the quality and performance of parts. This research is very important for promoting the development of manufacturing technology and achieving success in practical application.

Bi-layer in-situ phosphorus doped poly-Si films by PECVD for blistering-free high-efficiency industrial TOPCon solar cells

The passivating contact concept stands out as one of the most promising and industrially viable photovoltaic (PV) technologies. Further improving the quality of physical contact has become a focus of ongoing research. The film blistering issue has been identified as one of the major bottlenecks for the polysilicon (poly-Si) films deposited by the PECVD approach. In this study, we investigated how the in-situ phosphorus (P) doping level within the poly-Si films contributes to the occurrence of blistering. Our investigations into the film blistering mechanisms reveal that a high in-situ P-doping suppresses hydrogen release levels and reduces the accumulation of residual stress during annealing, which leads to the blistering-free appearance, especially observed in heavily P-doped poly-Si films. However, as excessive P-doping could weaken the interfacial passivation quality, we propose a bi-layer structure of P-doped poly-Si films which allows the doping profile to be tailored and maintain good quality passivating contacts. Based on the bi-layer structure, we fabricated industrial-sized tunnel oxide passivated contact (TOPCon) solar cells, which attained an average efficiency of 23.84%. Our work not only presents a promising strategy for improving the performance of passivating contacts via the PECVD approach but also underscores the significant potential for its widespread implementation in industrial TOPCon solar cell manufacturing.

A comparative review of the complementary and conflicting nature of lean production and green manufacturing implementation

PurposeBuoyed by the increasing demand for improved productivity and environmentally conscious manufacturing, research in the area of lean production and green manufacturing has experienced significant growth since Dües et al. (2013). Taking the latter as the point of reference, a review of recent developments in the complementary and conflicting areas between lean production and green manufacturing that has been missing is presented.Design/methodology/approachA systematic search was done to identify articles on lean production and green manufacturing from Scopus, Web of Science and Google Scholar. The population-intervention-outcome format was used to develop and answer the research questions. ATLAS.ti 22 was used to analyse 141 qualifying papers and identify the research themes.FindingsLean production and green manufacturing have strong synergy, and when integrated, they tend to deliver superior organisational performance than their individual implementations. This is consistent with the pre-2013 results, and other areas of synergy and divergence were also identified.Research limitations/implicationsThe study considers only papers published in the manufacturing sector after Dües et al. (2013). A review of lean production and green manufacturing in integrated product-service systems may also be relevant, especially due to the continuing trend since its introduction.Practical implicationsAny new adopter of lean production should consider implementing it simultaneously with green manufacturing.Originality/valueThis study establishes the persistence of the pre-2013 patterns of synergy and divergence between lean production and green manufacturing, and identifies new considerations for their joint implementation.

A Review of Literature on Lean Manufacturing Tools and Implementation Based on Case Studies

This research focuses on reviewing the Lean Manufacturing (LM) implementation which is widely applied in the manufacture company to overcome or reduce waste. The aim of this article is to find out more about the influence on the industry sector. This research was developed by collecting research from indexed databanks of Scopus, Science direct, ResearchGate, etc. This review study is significant to identify the application of lean manufacturing in dealing with waste through implementation into several case studies. A total of 24 articles were selected, taking into account criteria such as keywords, article titles and publications of international publishers, which were selected through a systematic process. This study found that the application of lean manufacturing is a method that brings many advantages that work by minimizing losses and waste, and the Value Stream Mapping method is more often used as part of several Lean Manufacturing techniques to identify and analyze the occurrence of waste while providing solutions that lead to improvement. process and cost reduction.

Application Prospect Analysis and Key Issues Research of AI Technology in Service-oriented Manufacturing

This study provides a comprehensive review of the development of service-oriented manufacturing and explores the prospects of AI technology in this field. It includes an in-depth analysis of the history, trends, and typical cases of service-oriented manufacturing both domestically and internationally. It includes an in-depth analysis of the history, trends, and typical cases of service-oriented manufacturing both domestically and internationally. The paper highlights the current status and challenges faced by China's service-oriented manufacturing, distilling the main The paper highlights the current status and challenges faced by China's service-oriented manufacturing, distilling the main development models such as intelligent services, third-party outsourcing, and full lifecycle services. By examining specific enterprise cases, the paper reveals innovative transformation paths in China. By examining specific enterprise cases, the paper reveals innovative transformation paths in the practical implementation of service-oriented manufacturing. By examining specific enterprise cases, the paper reveals innovative transformation paths in the practical implementation of service-oriented manufacturing. The aim is to optimize service processes through AI technology, enhance production efficiency and service quality, and provide theoretical support and practical guidance for the deep integration of manufacturing and service industries. The aim is to optimize service processes through AI technology, enhance production efficiency and service quality, and provide theoretical support and practical guidance for the deep integration of manufacturing and service industries.

Cultural change in servitization – a conceptual review and framework

Purpose (Digital) servitization, referring to service-driven strategies and their increasing implementation in manufacturing, is one of the most rapidly growing areas in industrial service research. However, the cultural change involved in successful servitization is a phenomenon that is widely observed but poorly understood. This research aims to clarify the processes of social construction as manufacturers change their organizational culture to transform into industrial service providers.Design/methodology/approachThis research takes a systematic approach to integrate disparate literature on servitization into a cohesive framework for cultural change, which is purposefully augmented by rationale culled from organizational learning and sensemaking literature.Findings The organizational learning framework for cultural change in servitization introduces a dynamic perspective on servitizing organizations by explaining social processes between organizational and member-level cultural properties. It identifies three major cultural orientations toward service, digital and learning that govern successful servitization.Originality/value This research contributes to the servitization literature by presenting a new approach to reframe and explore cultural change processes across multiple levels, thus providing a concrete starting point for further research in this area.

Enabling customer participation for the implementation of sustainable manufacturing

Achieving sustainability has become an antecedent motive for numerous organizations since the last decade, and it has even accelerated with the introduction of sustainable development goals. Researchers and practitioners are trying different things to integrate sustainability principles in various fields of application, including manufacturing, which is one of the largest contributors to global GDP. This study investigates to improve the effectiveness of sustainable manufacturing implementation through customer participation. Existing literature in sustainable manufacturing is largely lacking with a stakeholder perspective, particularly with regard to customer participation. To bridge the gap, this study analyzes and evaluates the common enabling factors of customer participation for sustainable manufacturing implementation. Common factors have been collected and validated and the same has been analyzed with DEMATEL. Input for the study is taken from a case industry located in Saudi Arabia. Results revealed that among the 15 possible factors considered, ‘cost implications of sustainability' (E1) has the top position and ‘government regulations' (E14) has the least position in influencing customer participation in the implementation of sustainable manufacture. Finally, this study concludes by highlighting important contributions and opportunities for future expansion of customer-led sustainable manufacturing.

A Pilot Study on Lean Practice Implementation according to the Sizes and Ages of the Companies

The purpose of this paper is to address the accompanying lean manufacturing implementation barrier in terms of the sizes and ages of the companies. The 148 wood and furniture companies in Kuala Lumpur and Selangor were selected for the pilot research determinations. Smaller companies account for slightly more than 80% of newly founded and expanding wood and furniture industries, with 60% implementing lean practices. The practical implications indicate that the Malaysian furniture sector will have a promising future, with the number of medium-sized plants anticipated to increase in the upcoming years due to the increase in new and emerging businesses.

Increasing Project Success in Wellhead and Christmas Tree Manufacturing Equipment Through Risk Management Culture

The primary equipment for oil production, manufactured in a plant, is the wellhead and Christmas tree. By creating a standardized set of risk instruments and a risk management framework, embedding risk management into organizational culture will reduce the overhead of imposing risk management on every new manufacturing project. This study's goal is to improve project success by examining the culture of risk management practices in the production of wellhead and Christmas tree equipment. The information was gathered from companies in Malaysia and Batam, Indonesia, with 161 respondents in a population study. Employing Cronbach's alpha to analyze the descriptive data and determine its significance. The Cronbach alpha and significant value are displayed consequently. The study's data came from a post-survey and survey using a Google link form of companies with stock listed in Malaysia and Batam, Indonesia. These results show that risk culture and staff competency may be created as important variables to improve risk management implementation in manufacturing, based on descriptive statistical analysis. This paper shows how to create a multicultural project management process and raise project success rates by adhering to this approach.

Implementation of Zero Defect Manufacturing using quality prediction: a spot welding case study from Bosch

Product quality is a vital aspect in the operation of manufacturing systems, manufacturers need to implement at least one quality assurance method to assure the desired quality. The most recent approach for quality assurance is named Zero Defect Manufacturing (ZDM). The scope of the current paper is the implementation of ZDM approach in the automotive industry and specifically for the spot-welding process. Using a machine learning method that is utilizing linear regression and LSTM and consuming data from the production such as sensors and other engineering data to predict the quality of future spot welds. Using this quality prediction there is a root cause analysis to identify why the spot weld will fail and the appropriate prevention actions are proposed. The next step is the training and validation of the machine learning model and the calculation of the accuracy of the model. Once the accuracy of the model is validated a series of simulations, using a dynamic scheduling tool, are performed in order to calculate a series of KPIs to evaluate the impact of the proposed method to the production.

Development of an Industrial Symbiosis Framework through Digitalization in the Context of Industry 4.0

Environmental degradation and stringent business regulations require wider sustainable manufacturing practices by bringing the waste/unused resources back into mainstream production. Implementation of collaborative manufacturing – industrial symbiosis – approach is recognized as an effective strategy in the globalized industry 4.0 environment. Industry 4.0 technologies with intertwined supply chain add to the complexity but offer the possibility of breaking the geographical boundaries as the current industrial symbiosis is heavily location dependent. The paper proposes an industrial symbiosis framework based on Industry 4.0 enabling technologies and scalable to global level. A three-level framework is proposed showing the corresponding industry 4.0 technologies at each level. The proposed symbiosis framework and further development of Industry 4.0 technologies-based architecture shows the capability of using the technologies for wider collaboration and faster achievement of sustainable goals. The horizontal integration capability of industrial symbiosis is inferred from the literature. The current industrial understanding and the level of implementation maturity is comprehended from the analysis of digitalization tools and platforms discussed for industrial symbiosis. The work carries forward the industry 4.0 research and its further extension to fifth generation with human resource knowledge sharing at its core.