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":"6 1","pages":"0"},"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":" ","pages":""},"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":"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":" ","pages":""},"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":"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":" ","pages":""},"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":"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":" ","pages":""},"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}

{"title":"Does the integration of lean production and Industry 4.0 in green supply chains generate a better operational performance?","authors":"Gonzalo Maldonado-Guzmán, Sandra Yesenia Pinzón-Castro, J. Garza‐Reyes","doi":"10.1108/jmtm-02-2023-0034","DOIUrl":"https://doi.org/10.1108/jmtm-02-2023-0034","url":null,"abstract":"PurposeThe tightening of environmental measures and policies in various countries around the world is forcing manufacturing companies, particularly those that make up the automotive industry, to improve their production processes, through the implementation of approaches such as lean production (LP) and Industry 4.0 (I4.0) technologies, to reduce industrial waste. However, the literature indicates that the implementation of LP and I4.0 does not always lead to an improvement in the level of operational performance (OP). Therefore, this study analyzes the effects of the implementation of LP practices and I4.0 on a green supply chain (GSC) and the operational performance of manufacturing companies in the Mexican automotive industry.Design/methodology/approachA theoretical research framework consisting of six hypotheses was developed and validated by applying partial least squares structural equation modeling (PLS-SEM) and using a sample of 460 companies from the Mexican automotive industry.FindingsThe results show that the level of OP of manufacturing companies increases substantially with the implementation of LP and I4.0 practices, as well as a GSC.Practical implicationsManagers of manufacturing companies will be able to use the results of this study to improve their production systems and to demonstrate the effects of these practices on OP.Originality/valueThis study contributes to the literature on LP and I4.0 by providing robust empirical evidence of the positive effects of implementing these approaches on the GSC and OP of manufacturing companies.","PeriodicalId":16301,"journal":{"name":"Journal of Manufacturing Technology Management","volume":" ","pages":""},"PeriodicalIF":7.6,"publicationDate":"2023-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49063982","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":"Green supplier selection and environmental performance of firms in the Chinese manufacturing industry: the roles of behavior and outcome controls","authors":"Hanna Lee, Xiaobo Wu","doi":"10.1108/jmtm-12-2022-0425","DOIUrl":"https://doi.org/10.1108/jmtm-12-2022-0425","url":null,"abstract":"PurposeGreen supplier selection (GSS) is acknowledged as important governance in green supply chain management (GSCM). However, this paper argues that GSS is not a stand-alone GSCM governance mode that determines manufacturers' environmental performance but rather one that needs to be aligned with contractual governance, particularly contractual control and adaptation, to promote environmental performance effects. This paper adopts GSS as ex ante governance and introduces behavior and outcome controls as ex post contractual control and adaptation, respectively. Thus, this paper addresses how GSS affects environmental performance directly and indirectly through behavior and outcome controls within transaction cost economics (TCE) theory.Design/methodology/approachThis research model was tested on 300 Chinese manufacturing firms, and multiple regression analysis was used to validate our hypotheses.FindingsA direct relationship was observed between GSS and environmental performance. This direct relationship is positively mediated by behavior and outcome controls.Originality/valueThis paper develops and elucidates an integrative green supply chain process proceeding from the implementation of ex ante GSS and ex post contractual governance to the realization of environmental performance. Furthermore, this paper considers two different forms of contractual governance, specifically contractual control and adaptation, and explains how they can be implemented using behavior and outcome controls from the perspective of TCE theory.","PeriodicalId":16301,"journal":{"name":"Journal of Manufacturing Technology Management","volume":" ","pages":""},"PeriodicalIF":7.6,"publicationDate":"2023-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48508026","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":"Industry 4.0 benefits, challenges and critical success factors: a comparative analysis through the lens of resource dependence theory across continents and economies","authors":"J. Antony, M. Sony, J. Garza‐Reyes, Olivia McDermott, Guilherme L. Tortorella, Raja Jayaraman, R. Sucharitha, Wilem Salentijin, Maher Maalouf","doi":"10.1108/jmtm-10-2022-0371","DOIUrl":"https://doi.org/10.1108/jmtm-10-2022-0371","url":null,"abstract":"PurposeEntering a new era of digital transformation, Industry 4.0 (I 4.0) promises to revolutionize the way business has been done, providing unprecedented opportunities and challenges. This study aims to investigate empirically and comparatively analyse the benefits, challenges and critical success factors (CSFs) of Industry 4.0 across four continents and developing and developed economies.Design/methodology/approachThis study used an online survey to explore the benefits, challenges and CSFs of developed and developing economies. In order to ensure the validity of the survey, a pilot test was conducted with 10 respondents. A total of 149 participants with senior managerial, vice-presidential and directorial positions from developed and developing economies spanning four continents were invited to take part in the survey.FindingsThe study ranks benefits, challenges and CSFs across economies and continents. Further, the benefit of Industry 4.0 helping to achieve organizational efficiency and agility differed across the developing and developed economies. Furthermore, the benefit improves customer satisfaction significantly differed across continents; in terms of challenges, Employee resistance to change had a higher proportion in developing economies. The future viability of I 4.0 also differed across the continents. Regarding CSFs, there was no difference across the developing and developed economies. Finally, change management and project management vary across the continents.Research limitations/implicationsThis study contributes to a balanced understanding of I 4.0 by providing empirical evidence for comparative analysis. Moreover, it extends the concept of resource dependence theory to explain how organizations in developing economies and developed economies deploy resources to manage external condition uncertainties to implement I 4.0. Furthermore, this study provides a structural framework to understand the specific benefits, challenges and CSFs of implementing I 4.0, which can be utilized by policymakers to promote I 4.0 in their economies or continents.Originality/valueTo the best of the authors’ knowledge, no studies have empirically demonstrated the comparative analysis of benefits, challenges and CSFs across economies and continents and distinguish an original contribution of this work.","PeriodicalId":16301,"journal":{"name":"Journal of Manufacturing Technology Management","volume":" ","pages":""},"PeriodicalIF":7.6,"publicationDate":"2023-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49406845","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":"Does technological innovation matter in the nexus between supply chain resilience and performance of manufacturing firms in a developing economy?","authors":"Zulaiha Hamidu, Barbara Deladem Mensah, Kassimu Issau, Emmanuel Asafo-Adjei","doi":"10.1108/jmtm-11-2022-0384","DOIUrl":"https://doi.org/10.1108/jmtm-11-2022-0384","url":null,"abstract":"PurposeDespite the economic growth in Ghana, the manufacturing industry faces numerous challenges in their supply chains. The study aims to investigate the mediated-moderated role of supply chain technological innovation (SCTI) in the relationship between supply chain resilience (SCR) and supply chain performance (SCP) of manufacturing firms. By exploring this relationship, the study seeks to provide insights that can help manufacturing firms overcome the challenges they face and improve their overall supply chain performance.Design/methodology/approachThe quantitative research approach and explanatory research design were utilised. A sample of 345 manufacturing firms was drawn from a population of 2495 manufacturing firms in the Accra metropolis. Analysis of this study was performed using the Partial Least Squares Structural Equation Modelling (PLS-SEM).FindingsIt was revealed that SCTI positively mediates the nexus between SCR and SCP. However, we document that SCTI negatively moderates the nexus. It is instructive to advocate that a mere presence of a more enhanced SCTI is not enough to improve upon SCP of manufacturing firms, but should be a channel through which SCR can improve SCP.Practical implicationsThis study highlights the need for managers of firms to prioritise investment in technological innovation as a means of enhancing SCR and ultimately improving supply chain performance. By understanding the SCTI mediated-moderated relationship between SCR and SCP, supply chain managers, logistics managers, operation managers, as well as procurement managers can develop more effective strategies to optimise their operations. This study provides valuable insights for managers and policymakers in developing and implementing supply chain resilience strategies that take into account the important role of SCTI.Originality/valueThe originality of the study lies in exploring the mediated-moderated effect of technological innovation on the nexus between resilience and performance of supply chains in developing economies, where firms often face unique challenges such as infrastructure limitations, political instability and economic uncertainty. By investigating the interplay of SCTI between SCR and SCP, researchers can develop new insights and strategies to help navigate these challenges and achieve success.","PeriodicalId":16301,"journal":{"name":"Journal of Manufacturing Technology Management","volume":" ","pages":""},"PeriodicalIF":7.6,"publicationDate":"2023-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45089718","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":"Driving smartness for organizational performance through Industry 4.0: a systems perspective","authors":"T. Abiodun, Giselle Rampersad, Russell Brinkworth","doi":"10.1108/jmtm-09-2022-0335","DOIUrl":"https://doi.org/10.1108/jmtm-09-2022-0335","url":null,"abstract":"PurposeThe internationalization of business has grown the production value chains and created performance challenges for industrial production. Industry 4.0, the digital transformation of industrial processes, promises to deliver performance improvements through smart functionalities. This study investigates how digital transformation translates to performance gain by adopting a systems perspective to drive smartness.Design/methodology/approachThis study uses qualitative research to collect data on the lived experiences of digital transformation practitioners for theory development. It uses semi-structured interviews with industry experts and applies the Gioia methodology for analysis.FindingsThe study determined that enterprise smartness is an organizational capability developed by digital transformation, it is a function of integration and the enabler of organizational performance gains in the Industry 4.0 context. The study determined that performance gains are experienced in productivity, sustainability, safety and customer experience, which represents performance metrics for Industry 4.0.Research limitations/implicationsThis study contributes a model that inserts smartness in the linkage between digital transformation and organizational outcomes to the digital transformation and production management literature.Practical implicationsThe study indicates that digital transformation programs should focus on developing smartness rather than technology implementations, which must be considered an enabling activity.Originality/valueExisting studies recognized the positive impact of technology on performance in industrial production. The study addresses a missing link in the Industry 4.0 value creation process. It adopts a systems perspective to establish the role of smartness in translating technology use to performance outcomes. Smart capabilities have been the critical missing link in the literature on harnessing digital transformation in organizations. The study advances theory development by contributing an Industry 4.0 value model that establishes a link between digital technologies, smartness and organizational performance.","PeriodicalId":16301,"journal":{"name":"Journal of Manufacturing Technology Management","volume":" ","pages":""},"PeriodicalIF":7.6,"publicationDate":"2023-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49664191","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}