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Title: production planning and control in industry 4.0 environment: a morphological analysis of literature and research agenda

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  • Anupama Prashar

    (Management Development Institute Gurgaon)

Abstract

The rapid industrial changes triggered by the fourth industrial revolution or I4.0 have ensued a dynamic and integrative perspective in production planning and control (PPC) decisions. Prior research on PPC transformation in I4.0 environment is in the form of computational experiments to solve sector-specific issues, with little emphasis on how PPC is influenced by the evolving digital capabilities, and how it operates in the new manufacturing paradigm? This study aims to develop an analytical framework to consolidate the prevailing research on PPC in I4.0 and identify future research possibilities. We used morphological analysis (MA) approach for reviewing 104 studies identified through a systematic review protocol. The MA framework is created with five dimensions (i.e., study setting, PPC functions, enabling technologies, digital capabilities, and core performance outcomes) defined based on input-process-outcome (IPO) approach of system analysis. This study is possibly the first to use MA for reviewing the PPC literature, presenting practitioner and theoretical contributions. The MA framework acts as a ready reckoner of the literature and its modular representation has the flexibility to be modified or augmented as the literature evolves.

Suggested Citation

  • Anupama Prashar, 2023. "Title: production planning and control in industry 4.0 environment: a morphological analysis of literature and research agenda," Journal of Intelligent Manufacturing, Springer, vol. 34(6), pages 2513-2528, August.
  • Handle: RePEc:spr:joinma:v:34:y:2023:i:6:d:10.1007_s10845-022-01958-5
    DOI: 10.1007/s10845-022-01958-5
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    References listed on IDEAS

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    1. Alexandre Moeuf & Robert Pellerin & Samir Lamouri & Simon Tamayo-Giraldo & Rodolphe Barbaray, 2018. "The industrial management of SMEs in the era of Industry 4.0," International Journal of Production Research, Taylor & Francis Journals, vol. 56(3), pages 1118-1136, February.
    2. Olumide Emmanuel Oluyisola & Fabio Sgarbossa & Jan Ola Strandhagen, 2020. "Smart Production Planning and Control: Concept, Use-Cases and Sustainability Implications," Sustainability, MDPI, vol. 12(9), pages 1-29, May.
    3. Bogataj, David & Bogataj, Marija & Hudoklin, Domen, 2017. "Mitigating risks of perishable products in the cyber-physical systems based on the extended MRP model," International Journal of Production Economics, Elsevier, vol. 193(C), pages 51-62.
    4. Olumide Emmanuel Oluyisola & Swapnil Bhalla & Fabio Sgarbossa & Jan Ola Strandhagen, 2022. "Designing and developing smart production planning and control systems in the industry 4.0 era: a methodology and case study," Journal of Intelligent Manufacturing, Springer, vol. 33(1), pages 311-332, January.
    5. Dalenogare, Lucas Santos & Benitez, Guilherme Brittes & Ayala, Néstor Fabián & Frank, Alejandro Germán, 2018. "The expected contribution of Industry 4.0 technologies for industrial performance," International Journal of Production Economics, Elsevier, vol. 204(C), pages 383-394.
    6. Siavash Valizadeh & Omid Fatahi Valilai & Mahmoud Houshmand, 2020. "Flexible flow line scheduling considering machine eligibility in a digital dental laboratory," International Journal of Production Research, Taylor & Francis Journals, vol. 58(21), pages 6513-6531, November.
    7. Tsan‐Ming Choi & Stein W. Wallace & Yulan Wang, 2018. "Big Data Analytics in Operations Management," Production and Operations Management, Production and Operations Management Society, vol. 27(10), pages 1868-1883, October.
    8. Baliga, Ashwin J. & Chawla, Vaibhav & Sunder M, Vijaya & Ganesh, L.S. & Sivakumaran, Bharadhwaj, 2021. "Service Failure and Recovery in B2B Markets – A Morphological Analysis," Journal of Business Research, Elsevier, vol. 131(C), pages 763-781.
    9. Maroua Nouiri & Damien Trentesaux & Abdelghani Bekrar, 2019. "Towards Energy Efficient Scheduling of Manufacturing Systems through Collaboration between Cyber Physical Production and Energy Systems," Energies, MDPI, vol. 12(23), pages 1-30, November.
    10. Sandeep Kumar & Bhushan S. Purohit & Vikas Manjrekar & Vivek Singh & Bhupesh Kumar Lad, 2018. "Investigating the value of integrated operations planning: A case-based approach from automotive industry," International Journal of Production Research, Taylor & Francis Journals, vol. 56(22), pages 6971-6992, November.
    11. Dongni Li & Xianwen Meng & Miao Li & Yunna Tian, 2016. "An ACO-based intercell scheduling approach for job shop cells with multiple single processing machines and one batch processing machine," Journal of Intelligent Manufacturing, Springer, vol. 27(2), pages 283-296, April.
    12. Chunyang Yu & Wei Zhang & Xun Xu & Yangjian Ji & Shiqiang Yu, 2018. "Data mining based multi-level aggregate service planning for cloud manufacturing," Journal of Intelligent Manufacturing, Springer, vol. 29(6), pages 1351-1361, August.
    13. Wen-Hsien Tsai & Yin-Hwa Lu, 2018. "A Framework of Production Planning and Control with Carbon Tax under Industry 4.0," Sustainability, MDPI, vol. 10(9), pages 1-24, September.
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