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Production Planning & Control
The Management of Operations
Volume 30, 2019 - Issue 7: Redistributed Manufacturing – Challenges for Operations Management
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Original Articles

Redistributed Manufacturing and the Impact of Big Data: A Consumer Goods Perspective

Mohamed ZakiDepartment of Engineering, Institute for Manufacturing, University of Cambridge, Cambridge, UK;Correspondence[email protected]
ORCID Iconhttp://orcid.org/0000-0003-0264-2691
ORCID Icon,
Babis TheodoulidisAlliance Business School, University of Manchester, Manchester, UK;ORCID Iconhttp://orcid.org/0000-0003-4698-1193
ORCID Icon,
Philip ShapiraAlliance Business School, University of Manchester, Manchester, UK;;Manchester Institute of Innovation Research, University of Manchester, Manchester, UK;;School of Public Policy, Georgia Institute of Technology, Atlanta, GA, USAORCID Iconhttp://orcid.org/0000-0003-2488-5985
ORCID Icon,
Andy NeelyDepartment of Engineering, Institute for Manufacturing, University of Cambridge, Cambridge, UK;ORCID Iconhttp://orcid.org/0000-0001-8220-5242
ORCID Icon &
Matthias Friedrich TepelDepartment of Engineering, Institute for Manufacturing, University of Cambridge, Cambridge, UK;
Pages 568-581 | Received 30 Sep 2016, Accepted 10 Sep 2017, Published online: 15 May 2019

Citations (28)

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Laurie Hughes, Yogesh K. Dwivedi, Nripendra P. Rana, Michael D. Williams & Vishnupriya Raghavan. (2022) Perspectives on the future of manufacturing within the Industry 4.0 era. Production Planning & Control 33:2-3, pages 138-158.
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Yves Barlette & Paméla Baillette. (2022) Big data analytics in turbulent contexts: towards organizational change for enhanced agility. Production Planning & Control 33:2-3, pages 105-122.
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Minxian Chen. (2022) The influence of big data analysis of intelligent manufacturing under machine learning on start-ups enterprise. Enterprise Information Systems 16:2, pages 347-362.
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Royston Meriton, Rajinder Bhandal, Gary Graham & Anthony Brown. (2021) An examination of the generative mechanisms of value in big data-enabled supply chain management research. International Journal of Production Research 59:23, pages 7283-7310.
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Shalini Talwar, Puneet Kaur, Samuel Fosso Wamba & Amandeep Dhir. (2021) Big Data in operations and supply chain management: a systematic literature review and future research agenda. International Journal of Production Research 59:11, pages 3509-3534.
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Ting Zheng, Marco Ardolino, Andrea Bacchetti & Marco Perona. (2021) The applications of Industry 4.0 technologies in manufacturing context: a systematic literature review. International Journal of Production Research 59:6, pages 1922-1954.
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D. Cao, H. Tao, Y. Wang, A. Tarhini & S. Xia. (2020) Acceptance of automation manufacturing technology in China: an examination of perceived norm and organizational efficacy. Production Planning & Control 31:8, pages 660-672.
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Articles from other publishers (21)

Revati Gardas & Swati Narwane. (2023) An analysis of critical factors for adopting machine learning in manufacturing supply chains. Decision Analytics Journal, pages 100377.
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Agnieszka A. Tubis, Katarzyna Grzybowska & Bartosz Król. (2023) Supply Chain in the Digital Age: A Scientometric–Thematic Literature Review. Sustainability 15:14, pages 11391.
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Carsten Schmidt, Florian Finsterwalder, Rainer Griesbaum & Jan T. Sehrt. (2023) Determination of factory locations for distributed additive manufacturing, considering pollution, resilience and costs. CIRP Journal of Manufacturing Science and Technology 43, pages 115-128.
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Ruchi Mishra & Rajesh Kumar Singh. (2022) A systematic literature review on supply chain resilience in SMEs: learnings from COVID-19 pandemic. International Journal of Quality & Reliability Management 40:5, pages 1172-1202.
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Chiara Acciarini, Francesco Cappa, Paolo Boccardelli & Raffaele Oriani. (2023) How can organizations leverage big data to innovate their business models? A systematic literature review. Technovation 123, pages 102713.
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Lingdi Liu, Wenyan Song & Yang Liu. (2023) Leveraging digital capabilities toward a circular economy: Reinforcing sustainable supply chain management with Industry 4.0 technologies. Computers & Industrial Engineering 178, pages 109113.
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Narayan Prasad Nagendra, Gopalakrishnan Narayanamurthy, Roger Moser, Evi Hartmann & Tuhin Sengupta. (2023) Technology Assessment Using Satellite Big Data Analytics for India's Agri-Insurance Sector. IEEE Transactions on Engineering Management 70:3, pages 1099-1113.
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Ijaz Ul Haq, James Andrew Colwill, Chris Backhouse & Fiorenzo Franceschini. (2022) Effects of lean distributed manufacturing on factory’s resilience: the current practice in UK food manufacturing sector. International Journal of Lean Six Sigma 13:5, pages 1104-1136.
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Peter Burggräf, Tobias Adlon, Dennis Schneidermann, Jérôme Uelpenich, Tingni Xu, Steffen Schupp, Jonas Dackweiler & Corinna Geukes. (2022) Die Fabrik der Zukunft. Zeitschrift für wirtschaftlichen Fabrikbetrieb 117:7-8, pages 436-441.
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Fakhreddin F. Rad, Pejvak Oghazi, Maximilian Palmié, Koteshwar Chirumalla, Natallia Pashkevich, Pankaj C. Patel & Setayesh Sattari. (2022) Industry 4.0 and supply chain performance: A systematic literature review of the benefits, challenges, and critical success factors of 11 core technologies. Industrial Marketing Management 105, pages 268-293.
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Abderahman Rejeb, Zailani Suhaiza, Karim Rejeb, Stefan Seuring & Horst Treiblmaier. (2022) The Internet of Things and the circular economy: A systematic literature review and research agenda. Journal of Cleaner Production 350, pages 131439.
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Michela Piccarozzi, Cecilia Silvestri, Barbara Aquilani & Luca Silvestri. (2022) Is this a new story of the ‘Two Giants’? A systematic literature review of the relationship between industry 4.0, sustainability and its pillars. Technological Forecasting and Social Change 177, pages 121511.
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Mesbaul SazuHaqueHaque & Sakila JahanAkterAkter. (2022) Impact of big data analytics on distributed manufacturing: Does big data help?. Journal of Process Management and New Technologies 10:1-2, pages 70-81.
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Hongyan Sheng, Taiwen Feng, Lucheng Chen & Dianhui Chu. (2021) Responding to market turbulence by big data analytics and mass customization capability. Industrial Management & Data Systems 121:12, pages 2614-2636.
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Carina Acioli, Annibal Scavarda & Augusto Reis. (2021) Applying Industry 4.0 technologies in the COVID–19 sustainable chains. International Journal of Productivity and Performance Management 70:5, pages 988-1016.
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Haihan Zhou. (2021) Optimization of the Rapid Design System for Arts and Crafts Based on Big Data and 3D Technology. Complexity 2021, pages 1-10.
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Rakesh D. Raut, Vinay Surendra Yadav, Naoufel Cheikhrouhou, Vaibhav S. Narwane & Balkrishna E. Narkhede. (2021) Big data analytics: Implementation challenges in Indian manufacturing supply chains. Computers in Industry 125, pages 103368.
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Giovanna Culot, Guido Orzes, Marco Sartor & Guido Nassimbeni. (2020) The future of manufacturing: A Delphi-based scenario analysis on Industry 4.0. Technological Forecasting and Social Change 157, pages 120092.
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Hana Trollman & Frank Trollman. 2020. Mass Production Processes. Mass Production Processes.
Iman Ghalehkhondabi, Ehsan Ahmadi & Reza Maihami. (2020) An overview of big data analytics application in supply chain management published in 2010-2019. Production 30.
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Ijaz Ul Haq & Fiorenzo Franceschini. (2019) Distributed manufacturing. Benchmarking: An International Journal 27:1, pages 430-470.
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