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Big Data-Driven Assessment of Proposals to Improve Enterprise Flexibility Through Control Options Untested in Practice

Author

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  • Mikhail Yurievich Ryabchikov

    (Nosov Magnitogorsk State Technical University)

  • Elena Sergeevna Ryabchikova

    (Nosov Magnitogorsk State Technical University)

Abstract

The study discusses how the process information reserves can be used for improving production flexibility on the basis of production component variation control. Building upon the assumption that the data in question describe the functions of the production components as those experience perturbations, we submit that it may be possible to predict the productivity and economic efficiency for new, previously unused control options. We elaborate on the production components that ensure production flexibility, approaching them as a highly autonomous holon. We determine the conditions that make it possible to analyze the holon control options in isolation from controlling all other components. We also suggest a solution to the problem of predicting the employees’ impact on production. Our suggestion is based on limiting the types of impact accessible to a human operator. The study looks at the reasons behind the uncertainty of production control simulation modeling results, which stem from the peculiarities of the data collected. We propose a criterion for assessing the impact of uncertainty on the productivity indicators’ variation. This study offers a systemic overview of the aspects of a production simulation aimed at assessing the impact of uncertainty on productivity predictions. As an example, we review how uncertainty affects the variation of coke consumption and productivity of a blast furnace, which is ensured by selecting a suitable option for iron ore sinter quality control.

Suggested Citation

  • Mikhail Yurievich Ryabchikov & Elena Sergeevna Ryabchikova, 2022. "Big Data-Driven Assessment of Proposals to Improve Enterprise Flexibility Through Control Options Untested in Practice," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 23(1), pages 43-74, March.
  • Handle: RePEc:spr:gjofsm:v:23:y:2022:i:1:d:10.1007_s40171-021-00287-5
    DOI: 10.1007/s40171-021-00287-5
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    References listed on IDEAS

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    7. Fabricio Eidelwein & Fabio Antonio Sartori Piran & Daniel Pacheco Lacerda & Aline Dresch & Luis Henrique Rodrigues, 2018. "Exploratory Analysis of Modularization Strategy Based on the Theory of Constraints Thinking Process," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 19(2), pages 111-122, June.
    8. Sasan Torabzadeh Khorasani, 2018. "A Robust Optimization Model for Supply Chain in Agile and Flexible Mode Based on Variables of Uncertainty," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 19(3), pages 239-253, September.
    9. Stuart Evans & Homa Bahrami, 2020. "Super-Flexibility in Practice: Insights from a Crisis," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 21(3), pages 207-214, September.
    10. Ehsan Samiei & Jafar Habibi, 2020. "The Mutual Relation Between Enterprise Resource Planning and Knowledge Management: A Review," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 21(1), pages 53-66, March.
    11. Rohit Kumar Singh & Sachin Modgil & Padmanav Acharya, 2019. "Assessment of Supply Chain Flexibility Using System Dynamics Modeling," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 20(1), pages 39-63, December.
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    2. Luay Jum’a & Muhammad Ikram & Ziad Alkalha & Maher Alaraj, 2022. "Do Companies Adopt Big Data as Determinants of Sustainability: Evidence from Manufacturing Companies in Jordan," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 23(4), pages 479-494, December.
    3. Mohammad Asim & Saboohi Nasim, 2022. "Modeling Enterprise Flexibility and Competitiveness for Indian Pharmaceutical Firms: A Qualitative Study," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 23(4), pages 551-571, December.
    4. Ragmoun Wided, 2023. "IT Capabilities, Strategic Flexibility and Organizational Resilience in SMEs Post-COVID-19: A Mediating and Moderating Role of Big Data Analytics Capabilities," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 24(1), pages 123-142, March.

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