improve manufacturing planning process with sap

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Improve ‘Make to Order’ Manufacturing Planning Process SAP HANA Case Study Line of Business: Manufacturing Industry: Automotive Problem: MTO (Make to Order) is a manufacturing process adopted within the Automotive Industry in which manufacturing starts only after a customer's order is received. For example at a leading Original Equipment Manufacturer (OEM) the entire planning and detailed sequencing has to be done in one day for all their vehicle lines. However for just their larger vehicle lines it takes up to 9 hours for their which is sub-optimal. Staying competitive in the global market is of crucial importance to the manufacturer including the control of costs to stay profitable, fulfilling demand in a timely manner and dealing with unpredictable events such as the tsunami, which hit Japan in 2011 affecting the auto industry across the whole world. Thereby it is increasingly important to grow in market share by offering product variety and volumes and simultaneously exploring new markets. Solution: Optessa MLP Business processes such as demand management, planning and scheduling capable of near real-time responses meeting the demand quickly and accurately while compressing the huge product and feature variety meaning the data volumes to response to lead time at every stage of the planning and production stage For instance, in the case of automotive manufacturing, a single vehicle can be offered in thousands of configurations with annual sales into millions. Benefit: Planning process can execute within the time limits imposed by their business processes. For example at the OEM manufacture Optessa anticipates that the process that used to take 9 hours can now with SAP HANA be completed in less one hour This reduction In the planning process makes it possible for manufactures to even run multiple iterations within the allocated time frames thereby improving the quality and reducing costs Combining business process optimization and big data Model manufacturing environments at a high resolution Provides optimal solutions to complex planning and scheduling problems Resources: Blog: Respond to Manufacturing Challenges with Optessa Optimization on HANA http://hana.sap.com/abouthana/why-hana/usecases/improve-mfg-planning-process.html

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Page 1: Improve manufacturing planning process with SAP

Improve ‘Make to Order’ Manufacturing Planning Process

SAP HANA Case Study

Line of Business: Manufacturing Industry: Automotive Problem: MTO (Make to Order) is a manufacturing process adopted within the Automotive Industry in which

manufacturing starts only after a customer's order is received. For example at a leading Original

Equipment Manufacturer (OEM) the entire planning and detailed sequencing has to be done in one

day for all their vehicle lines. However for just their larger vehicle lines it takes up to 9 hours for their

which is sub-optimal. Staying competitive in the global market is of crucial importance to the

manufacturer including the control of costs to stay profitable, fulfilling demand in a timely manner and

dealing with unpredictable events such as the tsunami, which hit Japan in 2011 affecting the auto

industry across the whole world. Thereby it is increasingly important to grow in market share by

offering product variety and volumes and simultaneously exploring new markets.

Solution: Optessa MLP

Business processes such as demand management, planning and scheduling capable of near

real-time responses meeting the demand quickly and accurately while compressing the huge

product and feature variety meaning the data volumes to response to lead time at every stage

of the planning and production stage

For instance, in the case of automotive manufacturing, a single vehicle can be offered in

thousands of configurations with annual sales into millions.

Benefit:

Planning process can execute within the time limits imposed by their business processes. For

example at the OEM manufacture Optessa anticipates that the process that used to take 9

hours can now with SAP HANA be completed in less one hour

This reduction In the planning process makes it possible for manufactures to even run multiple

iterations within the allocated time frames thereby improving the quality and reducing costs

Combining business process optimization and big data

Model manufacturing environments at a high resolution

Provides optimal solutions to complex planning and scheduling problems Resources:

Blog: Respond to Manufacturing Challenges with Optessa Optimization on HANA

http://hana.sap.com/abouthana/why-hana/usecases/improve-mfg-planning-process.html