Automation of Production Planning Enhanced by AI
The Next Level for Pharma Companies
Dr. Roman Hipp | Dr. Christian Fiebig | Dr. Till Giese | Dr. William Cobbah | Steffen Franz
Jul 2019
| White Paper
| English
Automation of Production Planning Enhanced by AI
The Next Level for Pharma Companies
Production planning is often characterized by intensive problem solving. The plan has to be changed at short notice because material or employees are missing or because a machine has failed. Usually, there is a lack of transparency about the effect of these adjustments on relevant key figures such as delivery reliability and productivity.
The white paper from Porsche Consulting shows how existing planning optimization tools can be equipped with additional artificial intelligence to automate planning and steering and thus improve planning results. This approach has a significant impact on equipment availability and delivery reliability. The concept is presented using an example from the pharmaceutical industry, but can also be applied to other industries.
Management Summary
- Artificial intelligence in production planning offers a variety of possibilities for advanced optimization and automation of planning processes
- Integration of the logistics’ outbound side in the systemic loop enables even greater potential. For example, decisions can be made to solve production bottlenecks in the area of not only production but also logistics. By use of AI technology, logistics and transport service providers can be integrated at an early stage to take into account restrictions and bottlenecks on the production side
- With complete integration of production as well as inbound and outbound logistics, artificial intelligence can be transformed from a mere IT tool that provides valuable functionality
- For individual business areas to the orchestrator of end-to-end value chain management—with transparency and solution competence across a company’s entire value chain network
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