Abstract
Digital transformation has been achieved in one application (user interface – related to workplace excellence and the whole company environment) in a large chemical company in Germany. In connection with variable corporate goals such as fluctuating workload, agile responsiveness to customer inquiries, ecological and economic sustainability which require an intelligent and forward-looking management of the company. Hence, a prototype solution has been created to respond to a very dynamic market. Based on Microsoft PowerPoint (ISpring) and with some add-ons pre-selected operators may interact, including with video content. The current architecture of the IT system has already been done. Adjustments will still be made to become more agile and future-driven to follow all of the company business rules. An artificial intelligence (AI)-based methodical analysis and synthesis approach is followed, for human and other resource input calculation, to follow business KPIs (key performance indicators) and other business goals with an algorithm. This evolution or control system is seen as a natural response to a very complex environment where human effort and error must be minimized (through simplification and a mathematical algorithm and a fast loop e.g., every ten minutes KPIs may be re-calculated according to existing capacity due to availability of equipment and human resources). This holistic approach shortens reaction times to market situations and at the same time minimizes non-value-adding processes. The business roles are determined depending on the culture/size of the company and strategic parameters. The continuously available flexibility in product design and the instability of all resources is of significant importance. After initial research it was found that commercial systems do not have this ability to dynamically and agilely automatically adapt to the given optimum. Instead of isolated partial optimizations, the expected results are compared with the real results in a continuous dynamic simulation and readjusted promptly [1]. This algorithm represents the actual added value, which has a high economic but also humanity advantage, especially in the manufacturing industry. In the future most manufacturing enterprises will have to follow this AI and agile path to competitive advantage vis-à-vis Asian competitors. The last quarter of 2021 experienced a 10% productivity improvement due to this implementation, based on the prototype, and mainly due to one product implementation champion (in an area with 270 employees).
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Notes
- 1.
DOE: Design of Experiments - Creation and evaluation of statistical test plans for optimization of processes and products.
- 2.
DSM: Design Structure Matrix - Method for recording, modeling, analyzing and synthesizing (within certain limits) the networking of elements in highly networked systems.
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Kühnel, K., Au-Yong-Oliveira, M. (2022). Optimal Distribution of Current Resources in a Production Environment - A Sustainable and Ethical Framework for the Digital Era. In: Rocha, A., Adeli, H., Dzemyda, G., Moreira, F. (eds) Information Systems and Technologies. WorldCIST 2022. Lecture Notes in Networks and Systems, vol 470. Springer, Cham. https://doi.org/10.1007/978-3-031-04829-6_55
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