Complex planning as digitalized tasks for sustainable supply chain and process management

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作者

Harald Kitzmann¹ , Petre Lameski²

1. University of Tartu, Narva College
2. University of Sts. Cyril and Methodius in Skopje

会议/活动

10th Annual Entrepreneurship and Innovation Conference (EIC), October 2022 (Tallinn, Estonia)

海报摘要

To achieve the company's goals in a VUCAD environment, managers are forced to make faster decisions but also to revise them as quickly as possible. These developments are increasing the complexity and the importance of planning on the operational management level in organizations, especially when considering different set-up of planning approaches and regularly changing the planning processes. The aim of the research is to outline a digitalized solution, so that it can be implemented as tool for supporting complex digitalized management task. The study creates a model of integrated planning as a supporting tool for management tasks by using approaches that are suitable to realize as Artificial Intelligence (AI) solution. The results show that management tasks when fragmenting into different, smaller steps, allow enabling the usage of proper methodologies so that they can be used for implementing machine learning (ML) algorithms and solutions like process mining or digital decisioning.

关键词

Budget planning, Digitalized management, Complex planning, Sustainable supply chain management

研究领域

Business, Economics and Finance, Computer and Information Science

参考文献

1. Rüegg-Stürm, J. ; Grand, S.,: Das St. Galler Management-Modell 4. Generation – Einführung, 3rd Edition ed., Bern: Haupt Verlag, 2017.
2. Khrennikov, A. "Quantum‑like modeling: cognition, decision making, and rationality," Mind & Society, no. 19, pp. 307-310, 2020.
3. Yukalov, V.I.: Evolutionary Processes in Quantum Decision Theory, Entropy, vol. 6, no. 22, p. 681, 2020.
4. Urbánek J. F., Král, D.: MODELLING AND IMPLEMENTATION OF ADDED VALUE CONTROLLING IN SMALL AND MIDDLE ENTERPRISES CONTINUITY, Prague, 2014.
5. Kitzmann, H.: Development of a model for managing flexibility on strategical and operation level in production companies, Moscow, 2018.
6. Kitzmann, H.: Holistic Modelling Approach for the Management of Organisations, in International Scientific and Practical Conference “Sustainable Development in the Post-Pandemic Period” (SDPPP-2021), Tallinn, 2021.
7. Zdravevski, E., Lameski, P.; Apanowicz, C., Ślȩzak, D., "From Big Data to business analytics: The case study of churn prediction," Applied Soft Computing, vol. 90, no. May 2020, p. 106164, 2020.

基金

暂无数据

补充材料

暂无数据

附加信息

利益冲突

No competing interests were disclosed.

数据可用性声明

The datasets generated during and / or analyzed during the current study are available from the corresponding author on reasonable request.

知识共享许可协议

Copyright © 2023 Kitzmann et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.