7,218 research outputs found

    The Impacts of Cloud Manufacturing on the Supply Chain

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    Cloud manufacturing is a recent technique used in manufacturing sector to fulfill the agility of the fluctuation between supply and demand. This paper focuses on the impact of cloud manufacturing on supply chain, and how the impacts vary from one industry to another due to different variable factors. The research method used in this paper is consist of a literature review on the concept of cloud computing, cloud manufacturing and the supply chain characteristics. Followed by a comparison made among different scenarios where the performance of cloud manufacturing was assessed in different supply chains. The findings from this research provides an evidence about that not only different supply chains will have a different impacts by cloud manufacturing but also different condition results different impacts in the same supply chain. The main conclusion drawn from this study is that cloud manufacturing generally has a significant positive impact on the supply chains that benefit as much as possible from its features. This dissertation recommends a further studies on classifying supply chains with similar major variable factors in order to have a coherent understanding about cloud manufacturing impacts in similar categories

    Shipbuilding 4.0 Index Approaching Supply Chain

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    The shipbuilding industry shows a special interest in adapting to the changes proposed by the industry 4.0. This article bets on the development of an index that indicates the current situation considering that supply chain is a key factor in any type of change, and at the same time it serves as a control tool in the implementation of improvements. The proposed indices provide a first definition of the paradigm or paradigms that best fit the supply chain in order to improve its sustainability and a second definition, regarding the key enabling technologies for Industry 4.0. The values obtained put shipbuilding on the road to industry 4.0 while suggesting categorized planning of technologies

    The strategic integration of agile and lean supply

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    Lean supply is closely associated with enabling flow and the elimination of wasteful variation within the supply chain. However, lean operations depend on level scheduling and the growing need to accommodate variety and demand uncertainty has resulted in the emergence of the concept of agility. This paper explores the role of inventory and capacity in accommodating such variation and identifies how TRIZ separation principles and TOC tools may be combined in the integrated development of responsive and efficient supply chains. A detailed apparel industry case study is used to illustrate the application of these concepts and tools

    Industrial Digitization, the Use of Real-Time Information, and Operational Agility: Digital and Information Perspectives for Supply Chain Resilience

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    Change is the permanent reality of the digital business world. Firms manage it by their ability and capability to cope with short-term and long-term deviations and disruptions. This paper presents an examination of the supply chain resilience (SCR) of firms operating in the Malaysian Service Sector. The data for this study were collected from 157 managers of 59 firms operating in seven sub-service sectors. Following Organizational Information Processing Theory (OIPT) and reviewing the relevant literature for the conceptualization, we tested a framework that suggests that the use of real-time information (URTI) enhances the SCR. We also found that the industrial digital environment has an important link with the URTI. The results indicate that the URTI is significantly associated with SCR and operational agility, which partially mediates the relationship between the URTI and SCR. We further discuss the theoretical contributions and implications with practical, and policy implications arising from this research

    The impact of Industry 4.0 implementation on supply chains

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    Purpose The study aims to analyse the impact of Industry 4.0 implementation on supply chains and develop an implementation framework by considering potential drivers and barriers for the Industry 4.0 paradigm. Design/methodology/approach A critical literature review is performed to explore the key drivers and barriers for Industry 4.0 implementation under four business dimensions: strategic, organisational, technological and legal and ethical. A system dynamics model is later developed to understand the impact of Industry 4.0 implementation on supply chain parameters, by including both the identified driving forces and barriers for this technological transformation. The results of the simulation model are utilised to develop a conceptual model for a successful implementation and acceleration of Industry 4.0 in supply chains. Findings Industry 4.0 is predicted to bring new challenges and opportunities for future supply chains. The study discussed several implementation challenges and proposed a framework for an effective adaption and transition of the Industry 4.0 concept into supply chains. Research limitations/implications The results of the simulation model are utilised to develop a conceptual model for a successful implementation and acceleration of Industry 4.0 in supply chains. Practical implications The study is expected to benefit supply chain managers in understanding the challenges for implementing Industry 4.0 in their network. Originality/value Simulation analysis provides examination of Industry 4.0 adoption in terms of its impact on supply chain performance and allows incorporation of both the drivers and barriers of this technological transformation into the analysis. Besides providing an empirical basis for this relationship, a new conceptual framework is proposed for Industry 4.0 implementation in supply chains

    The co-evolutionary relationship between digitalization and organizational agility: Ongoing debates, theoretical developments and future research perspectives

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    This study is the first to provide a systematic review of the literature focused on the relationship between digitalization and organizational agility (OA). It applies the bibliographic coupling method to 171 peer-reviewed contributions published by 30 June 2021. It uses the digitalization perspective to investigate the enablers, barriers and benefits of processes aimed at providing firms with the agility required to effectively face increasingly turbulent environments. Three different, though interconnected, thematic clusters are discovered and analysed, respectively focusing on big-data analytic capabilities as crucial drivers of OA, the relationship between digitalization and agility at a supply chain level, and the role of information technology capabilities in improving OA. By adopting a dynamic capabilities perspective, this study overcomes the traditional view, which mainly considers digital capabilities enablers of OA, rather than as possible outcomes. Our findings reveal that, in addition to being complex, the relationship between digitalization and OA has a bidirectional character. This study also identifies extant research gaps and develops 13 original research propositions on possible future research pathways and new managerial solutions

    Implications of using Industry 4.0 base technologies for lean and agile supply chains and performance

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    Funding Information: The authors acknowledge the financial support of Spanish Ministry of Science, Innovation and Universities (Research Project PID2019-106577 GB-I00 by MCIN / AEI / 10.13039/501100011033 ), UJA- FEDER Andalusian Operational Program (Research Project 1261128 ), Andalusian Plan for Research, Development and Innovation - PAIDI 2020 (Research Project P20-00794 ), and Fundação para a Ciência e a Tecnologia (FCT - MCTES) for its financial support via the project UIDB/00667/2020 (UNIDEMI). Publisher Copyright: © 2023 The AuthorsThe adoption of Industry 4.0 (I4.0) technologies in recent years has generated conditions for substantial changes in supply chain management. However, research is still ongoing on how I4.0 technologies can be integrated into current supply chain models to improve supply chain capabilities and performance. This work aims to contribute to understanding the relationships between Industry 4.0 technologies and lean and agile supply chain strategies, and identifying the implications for the focal firm's operational performance. In this study, we focus on a specific group of emerging I4.0 technologies known as I4.0 base technologies (i.e., cloud computing, Internet of Things, and Big Data analytics), whose complementary features can enhance the data collection, storage, and sharing, as well as the analysis processes. Drawing on the Dynamic Capabilities Theory, a structural equation model is used to analyze data collected from 256 Spanish focal manufacturing firms. Results indicate that I4.0 base technologies do not have the same effects on lean and agile supply chain strategies. While I4.0 base technologies can make supply chains leaner, they have been found to have no significant direct effect on agile supply chain implementation. Further, findings indicate a direct relationship between the lean and agile approaches and that the latter generates mediation effects between lean and operational performance.publishersversionpublishe
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