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International Journal of Computer Integrated Manufacturing Volume 32, 2019 - Issue 4-5: Smart Cyber-Physical System Applications in Production and Logistics
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Original Articles

Design challenges for CPS-based service systems in industrial production and logistics

Christoph HohmannDepartment Analytics, Fraunhofer Center for Applied Research on Supply Chain Services, Nuremberg, GermanyCorrespondence[email protected]
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Tim PosseltDepartment Analytics, Fraunhofer Center for Applied Research on Supply Chain Services, Nuremberg, GermanyView further author information
Pages 329-339 | Received 26 May 2018, Accepted 22 Nov 2018, Published online: 06 Dec 2018

Citations (14)

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Read on this site (4)

Masoud Zafarzadeh, Magnus Wiktorsson & Jannicke Baalsrud Hauge. (2023) Capturing value through data-driven internal logistics: case studies on enhancing managerial capacity. Production & Manufacturing Research 11:1.
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Yousra El Kihel, Anne Zouggar Amrani, Yves Ducq, Driss Amegouz & Ahmed Lfakir. (2023) Methodology combining industry 4.0 technologies and KPI’s reliability for supply chain performance. International Journal of Computer Integrated Manufacturing 36:8, pages 1128-1152.
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Erik Flores-García, Yongkuk Jeong, Sichao Liu, Magnus Wiktorsson & Lihui Wang. (2023) Enabling industrial internet of things-based digital servitization in smart production logistics. International Journal of Production Research 61:12, pages 3884-3909.
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Ádám Szaller, Péter Egri & Botond Kádár. (2020) Trust-based resource sharing mechanism in distributed manufacturing. International Journal of Computer Integrated Manufacturing 33:1, pages 1-21.
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Articles from other publishers (10)

Honglin Yi, Ting Qu, Kai Zhang, Mingxing Li, George Q. Huang & Zefeng Chen. (2023) Production Logistics in Industry 3.X: Bibliometric Analysis, Frontier Case Study, and Future Directions. Systems 11:7, pages 371.
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Michael Bortlik, Bernd Heinrich & Daniel Lohninger. (2023) Service Re-Selection for Disruptive Events in Mobile Environments: A Heuristic Technique for Decision Support at Runtime. Information Systems Frontiers.
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Camila Patricia Malagon-Suarez & Javier Arturo Orjuela-Castro. (2023) Challenges and Trends of the logistics 4.0. Ingeniería 28:Suppl, pages e18492.
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George Lăzăroiu, Mihai Andronie, Mariana Iatagan, Marinela Geamănu, Roxana Ștefănescu & Irina Dijmărescu. (2022) Deep Learning-Assisted Smart Process Planning, Robotic Wireless Sensor Networks, and Geospatial Big Data Management Algorithms in the Internet of Manufacturing Things. ISPRS International Journal of Geo-Information 11:5, pages 277.
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T.S. Deepu & V. Ravi. (2021) Modelling of interrelationships amongst enterprise and inter-enterprise information system barriers affecting digitalization in electronics supply chain. Business Process Management Journal 28:1, pages 178-207.
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Erik Flores-Garcia, Yongkuk Jeong, Magnus Wiktorsson, Sichao Liu, Lihui Wang & GooYoung Kim. (2021) Digital Twin-Based Services for Smart Production Logistics. Digital Twin-Based Services for Smart Production Logistics.
Masoud Zafarzadeh, Magnus Wiktorsson & Jannicke Baalsrud Hauge. (2021) A Systematic Review on Technologies for Data-Driven Production Logistics: Their Role from a Holistic and Value Creation Perspective. Logistics 5:2, pages 24.
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Saurabh Tiwari. (2020) Supply chain integration and Industry 4.0: a systematic literature review. Benchmarking: An International Journal 28:3, pages 990-1030.
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O. Mörth, Christos Emmanouilidis, N. Hafner & M. Schadler. (2020) Cyber-physical systems for performance monitoring in production intralogistics. Computers & Industrial Engineering 142, pages 106333.
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Masoud Zafarzadeh, Magnus WiktorssonJannicke Baalsrud Hauge & Yongkuk Jeong. (2019) Data-Driven Production Logistics – An Industrial Case Study on Potential and Challenges. Smart and Sustainable Manufacturing Systems 3:1, pages 20190048.
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