Abstract

In an environment of constantly growing market dynamics and associated increasing complexity of company structures and their production processes, manufacturing companies are forced to adapt to this environment. Information technology is thereby a key for manufacturing companies to regain sovereignty over their own production processes. Digital networking via their own company and as well, the overall supply chain, can only succeed if digital planning reflects reality as accurately as possible and if production control can react to deviations in real time. In essence, this leads to a development of process control towards process regulation. While long-term production and resource planning is usually mapped by Enterprise Resource Planning (ERP) systems, detailed planning, including short-term deviations and real-time data at the production level, is increasingly supported by Manufacturing Execution Systems (MES) at the production control level. However, in order to bring the underlying system concepts into line with Industry 4.0 efforts in a standardized manner, mutual functional integration within the framework of interoperable production planning and control is of crucial importance. For this purpose, studies were carried out in particular into cause-effect relationships. Thus, the overarching research objective is a valid design model to increase the controllability of production planning and control systems (PPC) in the context of Industry 4.0.

Highlights

  • Today, manufacturing companies are faced with the great challenge of digital networking of their entire production processes

  • The increasing dynamics and corresponding fluctuations in market demands constantly promote the development of customer requirements and preferences to individualized products, which have to be manufactured in the shortest delivery time and in highest quality [1-4]

  • Companies will have to be able to make well-founded, decisions much more quickly based on valid data and information, which can only be done realistically in the production environment because of real-time data - which is processed in the corresponding production planning and control (PPC) systems

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Summary

Background

The increasing dynamics and corresponding fluctuations in market demands constantly promote the development of customer requirements and preferences to individualized products, which have to be manufactured in the shortest delivery time and in highest quality [1-4]. This inevitably leads to an increasing range of variants with shortened product life cycles and at the same time, an increase in performance, flexibility and speed of the production processes [2-5]. Against the background of Industry 4.0 opportunities, this paper addresses the challenges of an increasing controllability of production planning and control systems

Introduction
Methodological Approach and Preconditions
Components of the Model
Outlook and further Research
Full Text
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