Journal of Manufacturing Technology Management最新文献

{"title":"Effects of lean manufacturing on sustainable performance: results from two conceptual approaches","authors":"Rafael Henao, William Sarache","doi":"10.1108/jmtm-01-2023-0023","DOIUrl":"https://doi.org/10.1108/jmtm-01-2023-0023","url":null,"abstract":"Purpose Sustainability has become a priority for companies due to pressure from multiple stakeholders. In an overly competitive market, shareholders push for economic results, allowing lean manufacturing to establish itself as dominant paradigm in manufacturing. However, concerns grow regarding how lean implementation can allow companies to achieve sustainable development goals, or, if the resources required for a successful lean implementation can result in a detriment of environmental and social performance. This paper intends to help close the knowledge gap regarding the effects of lean manufacturing on sustainable performance from a triple bottom line perspective, and how operational, environmental and social outcomes interact between themselves. Design/methodology/approach Two models for the interaction between lean and sustainability were proposed. The first is called the “sand-cone” model, which poses that performance improvements derived from lean are cumulative on each one of the sustainability dimensions. The second is called the “trade-offs” approach. In this case, the resources required to improve one dimension of sustainability clash with those required by the others. Data were gathered from a sample of 133 Colombian metalworking companies and processed using structural equations models. Findings The results support the cumulative “sand-cone”, which follows a sequence of operational-environmental-social improvement in the presence of lean. For the “trade-offs” model, partial evidence suggests that they can occur in detriment of social performance. Originality/value The “sand-cone” and “trade-offs” are empirically tested for the first time in the context of sustainability, providing further knowledge into its interaction with lean manufacturing. The models’ results contribute to practitioners by providing a tested path for companies to improve their performance in a cumulative sequence that will provide better long-term results.","PeriodicalId":16301,"journal":{"name":"Journal of Manufacturing Technology Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135060884","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The relationship between inventory leanness and product innovation with the contingent role of market concentration","authors":"Jingbin Wang, Xinyan Yao, Xuechang Zhu","doi":"10.1108/jmtm-02-2023-0043","DOIUrl":"https://doi.org/10.1108/jmtm-02-2023-0043","url":null,"abstract":"PurposeThis study aims to demonstrate the simultaneous effects between inventory leanness and product innovation, with market concentration being a moderator.Design/methodology/approachUsing a large panel data collected from 3071 listed manufacturing enterprises from 2004 to 2021, this research employs a simultaneous system of equations via the three-stage least square method to explore the simultaneous relationship between inventory leanness and product innovation. In addition, the moderating role of market concentration is demonstrated via one four-model system.FindingsAs its core, inventory leanness positively impacts product innovation, while product innovation negatively affects inventory leanness. Moreover, there are differential impacts of the leanness of three inventory types on product innovation. Specifically, the inventory leanness of raw material negatively affects product innovation, while the inventory leanness of work-in-process and finished goods positively affect product innovation. Further, moderation analysis highlights that market concentration is a key moderator of this relationship.Practical implicationsManagers should carefully gauge the tradeoffs between inventory leanness and product innovation. Concretely, managers ought to consider the connections between inventory types and product innovation. In addition, managers are suggested to emphasis on market strategy.Originality/valueThis paper not only contributes to the current understanding of inventory leanness by verifying the impact of inventory leanness on product innovation but also investigates the simultaneous relationship between various inventory types and product innovation. Furthermore, it empirically demonstrates the moderating effect of market concentration on the relationship between inventory leanness and product innovation.","PeriodicalId":16301,"journal":{"name":"Journal of Manufacturing Technology Management","volume":null,"pages":null},"PeriodicalIF":7.6,"publicationDate":"2023-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44469710","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Better understanding of triadic supply chain relationships through power dynamics in manufacturing firms context: evidence from case study approach from a developed country","authors":"M. Al-Shboul","doi":"10.1108/jmtm-01-2023-0019","DOIUrl":"https://doi.org/10.1108/jmtm-01-2023-0019","url":null,"abstract":"PurposeThis study tries to investigate and examine the extent of power dynamics of diverse actors in supply chains (SCs) in affecting the (un)stable connections within the logistics service providers (LSPs) triad in manufacturing firms (MFs) in Australia as a developed country.Design/methodology/approachThis study adopted a qualitative research approach by conducting 28 face-to-face semi-structured interviews, which was performed over a five-month period, between May and October 2022 with the targeted respondents via several Case MFs studies focusing on the triadic SC relationships through the power dynamics of LSPs (e.g. Case 1/MF-A, Case 2/MF-B, Case 3/MF-C, Case 4/MF-D and Case 5/MF-E) in order to gather primary data from the perspectives of logistics service clients, providers and suppliers that are dealing with MFs in Australia country. Interviewees were selected based on their knowledge, professional, expertise and tasks that are related to the study context if they are from MFs and/or LSPs. The researchers performed NVivo 12 Software as a tool for analyzing the collected primary data from the targeted interviewees, thus using a purposive sampling approach. This study constitutes a cornerstone for a conceptual exploration of the field of B2B and as it expands existing fields of broadcasting and investigation that focus on B2C within the manufacturing firms' context.FindingsThe findings clearly show the importance of stable purchase volume and resource ability for a focal company in the logistics triad. This leads it to have a strong long-term relationship through monitoring its partners and curbing evolutions in different dyads.Practical implicationsIdentifying influential factors offers complementary insights to practitioners for depicting the SC relationship dynamics using the dominant power used by logistics service providers. Such findings encourage investigating an issues in emerging countries.Originality/valueThe study provides an extending novel piece of work on how to establish the relational embeddedness of two dyads through the power dynamics of the dominant player represented by LSPs that can significantly affect the triadic SC relationships in manufacturing firms (MFs). Such a perspective seems not to be similar to the classical standpoint in the SCM literature, in which the LSPs as a dominant and dynamic power derived from bridging the customer-supplier sustainable dyads relationship in the MFs context.","PeriodicalId":16301,"journal":{"name":"Journal of Manufacturing Technology Management","volume":null,"pages":null},"PeriodicalIF":7.6,"publicationDate":"2023-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43088057","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enhance or impair: how does downstream complexity influence supply chain resilience with reconciling effects of intelligent manufacturing?","authors":"Jinliang Chen, Guoli Liu, Yu Wang","doi":"10.1108/jmtm-02-2023-0071","DOIUrl":"https://doi.org/10.1108/jmtm-02-2023-0071","url":null,"abstract":"PurposeThe purpose of this paper is to examine the nuanced effects of downstream complexity on supply chain resilience, based on portfolio theory and normal accident theory. Intelligent manufacturing is considered to clarify their boundary conditions.Design/methodology/approachThe ordinary least squares regression was conducted, based on the data collected from 136 high-tech firms in China.FindingsHorizontal downstream complexity has a positive effect on supply chain resilience significantly, while the negative impact of vertical downstream complexity on supply chain resilience is not significant. Contingently, intelligent manufacturing plays a negative moderating role in the relationship between horizontal downstream complexity and supply chain resilience, while it positively moderates the relationship between vertical downstream complexity and supply chain resilience.Originality/valueThis study disentangles the nuanced effects of both horizontal and vertical downstream complexity on supply chain resilience, based on portfolio theory and normal accident theory. It also clarifies their boundary conditions by considering the focal firm's intelligent manufacturing level as the contingent factor.","PeriodicalId":16301,"journal":{"name":"Journal of Manufacturing Technology Management","volume":null,"pages":null},"PeriodicalIF":7.6,"publicationDate":"2023-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47013665","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"What happens with the host during reshoring? An exploration of the host company's response in China","authors":"Lei Zhang, J. Lockhart, W. Macpherson","doi":"10.1108/jmtm-12-2022-0428","DOIUrl":"https://doi.org/10.1108/jmtm-12-2022-0428","url":null,"abstract":"PurposeResearch studies on offshoring and reshoring have predominantly focused on the home company, widely ignoring the offshored company in the host country. The host company's influence and contribution have been unseen. This research explores how the host company responds to the home company's location decisions to maintain the dyadic relationship.Design/methodology/approachAn exploratory case study in China was conducted to examine the host company's response to reshoring. The case company has two Japanese parent companies that acted for the emergence of reshoring drivers. Primary and secondary data were collected and analysed through thematic analysis. The host company's response strategies to the home company's relocation decisions were identified and explored.FindingsThe findings reveal that four strategies, identified here as being cost control, market expansion, knowledge seeking and relationship bonding, were implemented by the host company. The importance of Industry 4.0 (I4.0) and knowledge transfer is also emphasised within these strategies.Practical implicationsThis research identified active and practical strategies conducted by the host company to maintain a cooperative relationship with the home company(ies). Instead of encountering a passive response from the host company, the home company may consider working with the host to overcome difficulties caused by emerging reshoring drivers and create an outcome beneficial to both.Originality/valueTo the authors’ knowledge, this is the first research to study manufacturing reshoring from the perspective of the host company. It provides a new perspective to understanding this phenomenon.","PeriodicalId":16301,"journal":{"name":"Journal of Manufacturing Technology Management","volume":null,"pages":null},"PeriodicalIF":7.6,"publicationDate":"2023-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45242906","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Leveraging blockchain and NFTs for quality 4.0 implementation in digital manufacturing","authors":"Wala AlKhader, Raja Jayaraman, K. Salah, A. Sleptchenko, J. Antony, Mohammed A. Omar","doi":"10.1108/jmtm-05-2023-0172","DOIUrl":"https://doi.org/10.1108/jmtm-05-2023-0172","url":null,"abstract":"PurposeQuality 4.0 (Q4.0) leverages new emerging technologies to achieve operational excellence and enhance performance. Implementing Q4.0 in digital manufacturing can bring about reliable, flexible and decentralized manufacturing. Emerging technologies such as Non-Fungible Tokens (NFTs), Blockchain and Interplanetary File Storage (IPFS) can all be utilized to realize Q4.0 in digital manufacturing. NFTs, for instance, can provide traceability and property ownership management and protection. Blockchain provides secure and verifiable transactions in a manner that is trusted, immutable and tamper-proof. This research paper aims to explore the concept of Q4.0 within digital manufacturing systems and provide a novel solution based on Blockchain and NFTs for implementing Q4.0 in digital manufacturing.Design/methodology/approachThis study reviews the relevant literature and presents a detailed system architecture, along with a sequence diagram that demonstrates the interactions between the various participants. To implement a prototype of the authors' system, the authors next develop multiple Ethereum smart contracts and test the algorithms designed. Then, the efficacy of the proposed system is validated through an evaluation of its cost-effectiveness and security parameters. Finally, this research provides other potential applications and scenarios across diverse industries.FindingsThe proposed solution's smart contracts governing the transactions among the participants were implemented successfully. Furthermore, the authors' analysis indicates that the authors' solution is cost-effective and resilient against commonly known security attacks.Research limitations/implicationsThis study represents a pioneering endeavor in the exploration of the potential applications of NFTs and blockchain in the attainment of a comprehensive quality framework (Q4.0) in digital manufacturing. Presently, the body of research on quality control or assurance in digital manufacturing is limited in scope, primarily focusing on the products and production processes themselves. However, this study examines the other vital elements, including management, leadership and intra- and inter-organizational relationships, which are essential for manufacturers to achieve superior performance and optimal manufacturing outcomes.Practical implicationsTo facilitate the achievement of Q4.0 and empower manufacturers to attain outstanding quality and gain significant competitive advantages, the authors propose the integration of Blockchain and NFTs into the digital manufacturing framework, with all related processes aligned with an organization's strategic and leadership objectives.Originality/valueThis study represents a pioneering endeavor in the exploration of the potential applications of NFTs and blockchain in the attainment of a comprehensive quality framework (Quality 4.0) in digital manufacturing. Presently, the body of research on quality control or assurance in digital manufacturing","PeriodicalId":16301,"journal":{"name":"Journal of Manufacturing Technology Management","volume":null,"pages":null},"PeriodicalIF":7.6,"publicationDate":"2023-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42369734","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effects of product complexity on human learning in assembly and disassembly operations","authors":"E. Verna, G. Genta, M. Galetto","doi":"10.1108/jmtm-04-2023-0135","DOIUrl":"https://doi.org/10.1108/jmtm-04-2023-0135","url":null,"abstract":"PurposeThe purpose of this paper is to investigate and quantify the impact of product complexity, including architectural complexity, on operator learning, productivity and quality performance in both assembly and disassembly operations. This topic has not been extensively investigated in previous research.Design/methodology/approachAn extensive experimental campaign involving 84 operators was conducted to repeatedly assemble and disassemble six different products of varying complexity to construct productivity and quality learning curves. Data from the experiment were analysed using statistical methods.FindingsThe human learning factor of productivity increases superlinearly with the increasing architectural complexity of products, i.e. from centralised to distributed architectures, both in assembly and disassembly, regardless of the level of overall product complexity. On the other hand, the human learning factor of quality performance decreases superlinearly as the architectural complexity of products increases. The intrinsic characteristics of product architecture are the reasons for this difference in learning factor.Practical implicationsThe results of the study suggest that considering product complexity, particularly architectural complexity, in the design and planning of manufacturing processes can optimise operator learning, productivity and quality performance, and inform decisions about improving manufacturing operations.Originality/valueWhile previous research has focussed on the effects of complexity on process time and defect generation, this study is amongst the first to investigate and quantify the effects of product complexity, including architectural complexity, on operator learning using an extensive experimental campaign.","PeriodicalId":16301,"journal":{"name":"Journal of Manufacturing Technology Management","volume":null,"pages":null},"PeriodicalIF":7.6,"publicationDate":"2023-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48344793","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The effect of internal quality integration on financial performance: the mediating role of product innovation","authors":"Yubing Yu, Haohui Li, Jiawei Xu, M. Zhang, Xiuru Zhang, J. Zhang, Ye Wu","doi":"10.1108/jmtm-01-2023-0005","DOIUrl":"https://doi.org/10.1108/jmtm-01-2023-0005","url":null,"abstract":"PurposeThis study aims to examine the joint effect of internal quality integration and product innovation on financial performance by considering the mediating roles of incremental and radical product innovation.Design/methodology/approachA theoretical framework was developed using the organizational capability view. Based on empirical survey data collected from 209 Chinese manufacturing firms, this research uses structural equation modeling and the bootstrapping method to test hypotheses.FindingsThe results show that internal quality integration positively impacts incremental and radical product innovation and financial performance. Further, incremental product innovation can promote radical product innovation. Both incremental and radical product innovation partially mediate the relationship between internal quality integration and financial performance.Practical implicationsThe findings provide practical guidance for manufacturing companies to engage in quality integration and product innovation. Managers should encourage the internal functional departments to coordinate quality integration while promoting incremental and radical product innovation to occupy a larger market and achieve higher performance.Originality/valueThis research contributes to the literature in two ways. First, this study expands the theoretical research framework of the joint effects of quality integration and product innovation on financial performance. Second, through testing the mediating role of product innovation, this study provides empirical evidence for the intermediate role of internal quality integration for improving financial performance.","PeriodicalId":16301,"journal":{"name":"Journal of Manufacturing Technology Management","volume":null,"pages":null},"PeriodicalIF":7.6,"publicationDate":"2023-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44585480","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Technology-pushed, market-pulled, or government-driven? The adoption of industry 4.0 technologies in a developing economy","authors":"Baoru Zhou, Li Zheng","doi":"10.1108/jmtm-09-2022-0313","DOIUrl":"https://doi.org/10.1108/jmtm-09-2022-0313","url":null,"abstract":"PurposeThis study aims to investigate the motivations for the adoption of Industry 4.0 technologies among manufacturing firms in developing economies. Specifically, the effects of relative advantage of the technologies, competitive pressure, and government support on the adoption are explored. Moreover, the mediating role of top management support between environmental factors (government support and competitive pressure) and the adoption of Industry 4.0 technologies is examined.Design/methodology/approachA research model is developed based on the technology-organization-environment (TOE) framework strengthened by institutional theory. Structural equation modeling (SEM) approach is employed to evaluate the model using data obtained from 215 manufacturing firms through a cross-industry survey. Additionally, a post-hoc analysis is conducted using cluster analysis and ANOVA.FindingsThe results show that competitive pressure and government support significantly promote top management support, which in turn contributes to the adoption of Industry 4.0 technologies. Relative advantage of the technologies is not significantly related to the adoption.Research limitations/implicationsThis study does not explore the relationship between technology type and the specific needs of manufacturing firms. Future researchers can conduct a more comprehensive analysis by examining how different technology types align with the unique needs of individual companies.Practical implicationsThe findings of this study have implications for both policymakers and managers. Policymakers can leverage these insights to understand the underlying motivations behind manufacturing firms' adoption of Industry 4.0 technologies and develop promoting policies. In turn, managers should keep an eye on government policies and utilize government support to facilitate technology adoption.Originality/valueThis study uncovers the underlying motivations—government support and competitive pressure—for the adoption of Industry 4.0 technologies among manufacturing firms in developing economies. Meanwhile, it complements previous research by showing the mediating role of top management support between environmental factors (government support and competitive pressure) and the adoption of Industry 4.0 technologies.","PeriodicalId":16301,"journal":{"name":"Journal of Manufacturing Technology Management","volume":null,"pages":null},"PeriodicalIF":7.6,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46505322","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A decision-support framework for selecting additive manufacturing technologies","authors":"J. Maranha, Paulo Jorge Nascimento, Tomaz Alexandre Calcerano, Cristóvão Silva, Stefanie Mueller, Samuel Moniz","doi":"10.1108/jmtm-02-2023-0047","DOIUrl":"https://doi.org/10.1108/jmtm-02-2023-0047","url":null,"abstract":"PurposeThis study provides an up-to-date review of additive manufacturing (AM) technologies and guidance for selecting the most appropriate ones for specific applications, taking into account the main features, strengths, and limitations of the existing options.Design/methodology/approachA literature review on AM technologies was conducted to assess the current state-of-the-art. This was followed by a closer examination of different AM machines to gain a deeper insight into their main features and operational characteristics. The conclusions and data gathered were used to formulate a classification and decision-support framework.FindingsThe findings indicate the building blocks of the selection process for AM technologies. Furthermore, this work shows the suitability of the existing AM technologies for specific cases and points to opportunities for technological and decision-support improvements. Lastly, more standardization in AM would be beneficial for future research.Practical implicationsThe proposed framework offers valuable support for decision-makers to select the most suitable AM technologies, as demonstrated through practical examples of its utilization. In addition, it can help researchers identify the limitations of AM by pinpointing applications where existing technologies fail to meet the requirements.Originality/valueThe study offers a novel classification and decision-support framework for selecting AM technologies, incorporating machine characteristics, process features, physical properties of printed parts, and costs as key features to evaluate the potential of AM. Additionally, it provides a deeper understanding of these features as well as the potential opportunities for AM and its impact on various industries.","PeriodicalId":16301,"journal":{"name":"Journal of Manufacturing Technology Management","volume":null,"pages":null},"PeriodicalIF":7.6,"publicationDate":"2023-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44322287","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}