What does Industry 4.0 mean to Supply Chain

doi:10.1016/J.PROMFG.2017.09.191

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What does Industry 4.0 mean to Supply Chain

Journal Article•DOI•

What does Industry 4.0 mean to Supply Chain

Benny Tjahjono¹, C. Esplugues¹, E. Ares², G. Peláez²•Institutions (2)

Cranfield University¹, University of Vigo²

01 Jan 2017-Procedia Manufacturing (Elsevier)-Vol. 13, pp 1175-1182

TL;DR: In this paper, the authors analyze the impact of Industry 4.0 on the supply chain as a whole and propose a cyber-physical system that allows the smart factory to operate autonomously.

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About: This article is published in Procedia Manufacturing.The article was published on 2017-01-01 and is currently open access. It has received 368 citations till now. The article focuses on the topics: Industry 4.0 & Supply chain.

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Citations

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Journal Article•DOI•

Evaluating challenges to Industry 4.0 initiatives for supply chain sustainability in emerging economies

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Sunil Luthra¹, Sachin Kumar Mangla²•Institutions (2)

Government Engineering College, Sreekrishnapuram¹, University of Plymouth²

01 Jul 2018-Process Safety and Environmental Protection

TL;DR: In this paper, the authors identify key challenges to Industry 4.0 initiatives and analyze the identified key challenges in order to prioritize them for effective Industry4.0 concepts for supply chain sustainability in emerging economies.

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503 citations

Journal Article•DOI•

Analysis of the driving and dependence power of barriers to adopt industry 4.0 in Indian manufacturing industry

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Sachin S. Kamble¹, Angappa Gunasekaran², Rohit Sharma¹•Institutions (2)

National Institute of Industrial Engineering¹, California State University, Bakersfield²

01 Oct 2018-Computers in Industry

TL;DR: This study is first of its kind to identify industry 4.0 adoption barriers and develop hierarchical relationships between them using interpretive structural modeling (ISM) and fuzzy MICMAC methodology in the Indian manufacturing context.

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373 citations

Journal Article•DOI•

Assessing relations between Circular Economy and Industry 4.0: a systematic literature review

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Paolo Rosa¹, Claudio Sassanelli¹, Andrea Urbinati¹, Davide Chiaroni¹, Sergio Terzi¹ - Show less +1 more•Institutions (1)

Polytechnic University of Milan¹

18 Mar 2020-International Journal of Production Research

TL;DR: An innovative framework both highlighting the links between I4.0 and CE and unveiling future research fields has been developed, and results show as it is possible to enhance a set of different relations.

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Abstract: Industry 4.0 (I4.0) and Circular Economy (CE) are undoubtedly two of the most debated topics of the last decades. Progressively, they gained the interest of policymakers, practitioners and scholars...

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322 citations

Cites background or methods from "What does Industry 4.0 mean to Supp..."

...In a few cases, the optimisation of SCM performance (J. Xu 2009) and remanufacturing processes (French, Benakis, and Marin-Reyes 2017) were considered by experts....
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...0 technologies could support the adoption of CE was related to SCM, particularly in the definition of closed-loop chains (see Table 18)....
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...These technologies were mainly described as new ways for improving information transparency within the supply chain (Tjahjono et al. 2017; Kache and Seuring 2017) or evaluating supply chain performance (J. Xu 2009)....
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...(He, Xu, and Xu 2010) x (Kache and Seuring 2017) x (Sarkis and Zhu 2018) x (Schäfers and Walther 2017) x (Sun and Wang 2011) x (Tjahjono et al. 2017) x (J....
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...In rare cases, experts focused on exploitation of BDA for other reasons, such as improving disassembly sequence planning (Marconi et al. 2018), considering recycling issues during product design (Lin 2018), assessing cost reduction strategies through remanufacturing (Ge and Jackson 2014), and assessing challenges and opportunities in SCM practices (Kache and Seuring 2017)....
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Journal Article•DOI•

Assessing challenges for implementing Industry 4.0: Implications for process safety and environmental protection

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Md. Abdul Moktadir¹, Syed Mithun Ali², Simonov Kusi-Sarpong, Md. Aftab Ali Shaikh¹•Institutions (2)

University of Dhaka¹, Bangladesh University of Engineering and Technology²

01 Jul 2018-Process Safety and Environmental Protection

TL;DR: In this paper, the authors identified a set of challenges (framework) for implementing Industry 4.0 in manufacturing industries and evaluated them using a novel multi-criteria decision-making method named Best-Worst method (BWM).

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242 citations

Journal Article•DOI•

The impact of Industry 4.0 implementation on supply chains

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Abhijeet Ghadge, Merve Er Kara, Hamid Moradlou, Mohit Goswami

06 Mar 2020-Journal of Manufacturing Technology Management

TL;DR: In this article, 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.

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Abstract: 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.,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.,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.,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.,The study is expected to benefit supply chain managers in understanding the challenges for implementing Industry 4.0 in their network.,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.

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215 citations

Cites background from "What does Industry 4.0 mean to Supp..."

...0 implementation on the SC network level (Tjahjono et al., 2017)....
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...Increased connectivity between SC stakeholders and growing importance of stakeholder collaboration necessitates assessing the impact of Industry 4.0 implementation on the SC network level (Tjahjono et al., 2017)....
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References

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Open Access

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Agency for International Development.

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2,751 citations

Book•

Big Data Driven Supply Chain Management: A Framework for Implementing Analytics and Turning Information into Intelligence

[...]

Nada R. Sanders

10 Jun 2014

TL;DR: In this paper, Nada Sanders presents a systematic five-step framework for using Big Data in supply chains, including best practices for segmenting and analyzing customers, defining competitive priorities for each segment, aligning functions behind strategy, dissolving organizational boundaries to sense demand and make better decisions, and choosing the right metrics to support all of this.

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Abstract: Master a complete, five-step roadmap for leveraging Big Data and analytics to gain unprecedented competitive advantage from your supply chain. Using Big Data, pioneers such as Amazon, UPS, and Wal-Mart are gaining unprecedented mastery over their supply chains. They are achieving greater visibility into inventory levels, order fulfillment rates, material and product delivery using predictive data analytics to match supply with demand; leveraging new planning strengths to optimize their sales channel strategies; optimizing supply chain strategy and competitive priorities; even launching powerful new ventures. Despite these opportunities, many supply chain operations are gaining limited or no value from Big Data. In Big Data Driven Supply Chain Management, Nada Sanders presents a systematic five-step framework for using Big Data in supply chains. You'll learn best practices for segmenting and analyzing customers, defining competitive priorities for each segment, aligning functions behind strategy, dissolving organizational boundaries to sense demand and make better decisions, and choose the right metrics to support all of this. Using these techniques, you can overcome the widespread obstacles to making the most of Big Data in your supply chain and earn big profits from the data you're already generating. For all executives, managers, and analysts interested in using Big Data technologies to improve supply chain performance.

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67 citations

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Logistics and Transportation

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