Satisfying Customer Demands:

Advanced Supply Chain Planning (ASCP) supports different schemes to satisfy customers’ demands. Some companies satisfy the demands on a first come first serve basis and other companies have more complex mechanisms to satisfy their customers’ demands. For example, retailers typically choose to satisfy the demands on a first come first serve basis whereas a semi-conductor company may choose to satisfy the demands of a high volume customers before satisfying the demands of other customers.

This whitepaper highlights and explains in detail the various demand satisfaction schemes supported by the ASCP module. The document also explains in detail the setups needed to accomplish each one of those schemes.

Executing Large Scale Plans:

The whitepaper will help the audience understand the size of the problem solved by ASCP, list various deployment architectures to enable running large scale plans, plan options and parameters considered for performance enhancements and elaborate the runtime/volume statistics of the problem solved by ASCP.

Specifically, the whitepaper will list the strategies adopted by leading corporations to enhance the performance of their planning steps and reduce the overall planning cycle time.

Diagnosing Late Demands:

The purpose of this white paper is to highlight the tools that are available in Advanced Supply Chain Planning (ASCP) to identify and resolve the constraints in a complex material / resource constrained supply chain environments. The paper also discusses some of the techniques and methods for designing an effective solution for such environments.

This whitepaper helps the audience understand the various reasons for why a demand is not satisfied on time, the tools that are available to them to analyze the lateness, the various cases and how to diagnose the lateness in those cases and finally some tips and tricks to design an effective solution that will help the planners identify the constraints very quickly.

Getting ready to implement constrained and optimized planning? Have you considered the following?

• Data Quality — Your supply chain plan is only as good as your data. Even worse, poor data quality could set your firm back.
• Change Management — Does your planning department have the abilities to analyze a constrained / optimized plan? There will be a greater need to manage by exception than to manage at a transaction level.
• System Performance — There is a direct relationship between how you model your supply chain in the software and the resultant system performance. If you have stricter SLAs, you may want to pay a closer attention to system performance from the start.

The above are just a few of the items to consider before you roll out a constrained based supply chain planning solution to your company. If you need further information on any of the above topics or to have a free telephone consultation, please reach us at research@Inspirage.com.