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Production Planning & Control
The Management of Operations
Volume 32, 2021 - Issue 8
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Original Articles

Development of maturity model for assessing the implementation of Industry 4.0: learning from theory and practice

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Pages 603-622 | Received 08 Oct 2019, Accepted 13 Mar 2020, Published online: 26 Mar 2020

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Read on this site (14)

Rodrigo Pessotto Almeida, Néstor Fabián Ayala, Guilherme Brittes Benitez, Francisco José Kliemann Neto & Alejandro Germán Frank. (2023) How to assess investments in industry 4.0 technologies? A multiple-criteria framework for economic, financial, and sociotechnical factors. Production Planning & Control 34:16, pages 1583-1602.
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Swapnil Bhalla, Erlend Alfnes, Hans-Henrik Hvolby & Olumide Oluyisola. (2023) Sales and operations planning for delivery date setting in engineer-to-order manufacturing: a research synthesis and framework. International Journal of Production Research 61:21, pages 7302-7332.
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Minna Saunila, Juhani Ukko, Mina Nasiri & Patrizia Garengo. (2023) The role of digital governance in the integration of performance measurement systems uses and Industry 4.0 maturity. International Journal of Computer Integrated Manufacturing 0:0, pages 1-14.
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John Reyes, Josefa Mula & Manuel Díaz-Madroñero. (2023) Development of a conceptual model for lean supply chain planning in industry 4.0: multidimensional analysis for operations management. Production Planning & Control 34:12, pages 1209-1224.
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Andrea Chiarini, Alberto Grando, Sergio Venturini & Emanuele Borgonovo. (2023) Do automation and AI impact on job reduction? A study on perceived risk of losing job among white-collars in the Italian manufacturing companies. Production Planning & Control 0:0, pages 1-14.
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Monica Shukla & Ravi Shankar. (2023) Readiness assessment for smart manufacturing system implementation: multiple case of Indian small and medium enterprises. International Journal of Computer Integrated Manufacturing 0:0, pages 1-19.
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Pinosh Kumar Hajoary, P. Balachandra & Jose Arturo Garza-Reyes. (2023) Industry 4.0 maturity and readiness assessment: an empirical validation using Confirmatory Composite Analysis. Production Planning & Control 0:0, pages 1-18.
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Sercan Demir, Mehmet Akif Gunduz, Yasanur Kayikci & Turan Paksoy. (2023) Readiness and Maturity of Smart and Sustainable Supply Chains: A Model Proposal. Engineering Management Journal 35:2, pages 181-206.
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Swapnil Bhalla, Erlend Alfnes & Hans-Henrik Hvolby. (2023) Tools and practices for tactical delivery date setting in engineer-to-order environments: a systematic literature review. International Journal of Production Research 61:7, pages 2339-2371.
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Rossella Pozzi, Tommaso Rossi & Raffaele Secchi. (2023) Industry 4.0 technologies: critical success factors for implementation and improvements in manufacturing companies. Production Planning & Control 34:2, pages 139-158.
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Ashley Braganza, Weifeng Chen, Ana Canhoto & Serap Sap. (2022) Gigification, job engagement and satisfaction: the moderating role of AI enabled system automation in operations management. Production Planning & Control 33:16, pages 1534-1547.
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Marroi Laaraj, Walid A. Nakara & Samuel Fosso Wamba. (2022) Blockchain diffusion: the role of consulting firms. Production Planning & Control 0:0, pages 1-13.
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Giulio Marcucci, Sara Antomarioni, Filippo Emanuele Ciarapica & Maurizio Bevilacqua. (2022) The impact of Operations and IT-related Industry 4.0 key technologies on organizational resilience. Production Planning & Control 33:15, pages 1417-1431.
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Hamed Nayernia, Hanna Bahemia & Savvas Papagiannidis. (2022) A systematic review of the implementation of industry 4.0 from the organisational perspective. International Journal of Production Research 60:14, pages 4365-4396.
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Articles from other publishers (2)

Ewa Stawiarska, Danuta Szwajca, Mirosław Matusek & Radosław Wolniak. (2021) Diagnosis of the Maturity Level of Implementing Industry 4.0 Solutions in Selected Functional Areas of Management of Automotive Companies in Poland. Sustainability 13:9, pages 4867.
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Rongyan Zhou, Anjali Awasthi & Julie Stal-Le Cardinal. (2021) The main trends for multi-tier supply chain in Industry 4.0 based on Natural Language Processing. Computers in Industry 125, pages 103369.
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