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Chapter

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Title

Principles for Intelligent Decision Support Systems in Industrial Manufacturing Processes

Authors

[ 1 ] Instytut Zarządzania i Systemów Informacyjnych, Wydział Inżynierii Zarządzania, Politechnika Poznańska | [ SzD ] doctoral school student | [ P ] employee

Scientific discipline (Law 2.0)

[6.6] Management and quality studies

Year of publication

2024

Chapter type

chapter in monograph

Publication language

english

Keywords
EN
  • intelligent decision support
  • digital transformation
  • industrial management
  • manufacturing processes
Abstract

EN Adopting intelligent decision support systems to resolve the increasing complexities and uncertainties in manufacturing processes requires certain principles to optimize the created value. Based on, among others, artificial neural networks, genetic algorithms, artificial intelligence, and expert systems, intelligent decision support systems play a critical role in the digital transformation of the manufacturing sector. The current business environment entails intense market competition, highly dynamic customer needs, and unprecedented innovations. As such, manufacturing entities are required to look for strategies to ensure sustainable operations continuously. Decisions made during manufacturing processes management go a long way to impact the sustainability of the enterprise. The paper proceeds from the premise that optimal decision-making, when managing manufacturing activities, reduces wasted resources and drives performance. As the proliferation of intelligent support tools in manufacturing continues, the need to ensure efficient use of such systems remains. This paper identifies and explores three principles for integrating intelligent systems into manufacturing processes. These are human control, synergism, and interpretability. Human management entails leveraging critical human aspects such as emotional intelligence to ensure cohesion between people and the systems. The study establishes that reducing bias improves the effectiveness of intelligent support system adoption. Furthermore, the study demonstrates that synergism plays a vital role in ensuring that the systems do not replace but amplify human intelligence for even more significant value addition. Finally, the deployed systems should be easy to understand, use and interpret to ensure optimal usage in all designated processes. The paper recommends the principles to be incorporated into general guidelines for designing, training and deploying intelligent decision support systems in industrial manufacturing processes.

Pages (from - to)

71 - 82

Book

Navigating Digital Transformation: Original Research across Smart Cities, Sustainable Development and Beyond. Global Challenges of Digital Transformation of Markets

Presented on

Global Challenges of Digital Transformation of Markets-2021, 29-30.09.2021, Sankt Petersburg, Rosja

Ministry points / chapter

5

Ministry points / chapter (humanities, social sciences and theology)

5

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