Abstract

Both external and internal influences affect the way production systems are planned and operated. Long-standing trends combined with topics such as digitization and artificial intelligence are increasing the complexity of tackling problems in production systems. Along with this, there is the ever increasing risk of planning errors and the loss of long-term competitiveness. This paper presents an innovative approach that supports problem-solving processes in the planning and operation of production systems. For this purpose, qualitative structural modeling and analysis of problem situations are applied. At its core, the article focuses on a framework, which forms the basis for the modeling of problem situations, their analysis and the organizational and technical integration of the method. Furthermore, with the concept of building block based domain-relation models, a possibility is presented with which the structure of problem situations can be modeled and analyzed.

Highlights

  • Since the behavior and the output of systems result from its structural composition, a structural consideration of production systems and problem situations is considered to be beneficial

  • With regard to more recent research, especially matrix-based approaches should be emphasized, which build on the analytical complexity management and aim at the modeling and analysis of existing structures

  • The framework for complexity management in complex problem situations is based on the idea of socio-technical systems where humans, technology and organization work together to fulfil the primary tasks

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Summary

Introduction and Research Motivation

Manufacturing companies have long been exposed to global trends that have a significant impact on the way they create value. These influences arise from previous research as the essence of an extensive literature analysis of the past years as well as from experiences from the scientific work and planning practice at Chemnitz University of Technology. Since the behavior and the output of systems result from its structural composition, a structural consideration of production systems and problem situations is considered to be beneficial From this reasoning, the following overall research question was derived: How can the prevailing structure of production systems in complex problem situations be systematized and analyzed in order to support problem-solving in factory planning and operation through the specific reduction of complexity and to enable managing the complexity in the object area?.

State of the Art of Complexity Management
Problem Solving in Planning and Operating of Production Systems
Framework and Concept
Concept of Modeling Problem Situations
Method of Complexity Management in Production Structures
Conclusion and Future Research
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