Pursuit of Supply Chain "Best Practice"
The core aim of this research is to identify the best methods or tools available within industry and applying them to an organisation to enhance supply chain performance. The best method for managing inventory investment could be by changing current procedures, processes and modifying planning settings to optimise inventory investment. A warehouse environment may only require changes to the existing layout to improve cycle time performance for order picking and despatch.As these are typical process changes, the level of capital investment may not be significant or required.
However, capital intensive projects involving major ERP upgrades, a warehouse management system integration or large scale storage system installations to improve warehouse fulfillment capability can significantly drive supply chain improvement. Selecting the "Fit for purpose" solution requires a level of experience with supply chain projects, systems and a strong awareness of your own supply chain.
As the level of investment will influence the path to take, the following points are a guide for some consideration in selecting the best alternative.
- Which process improvement methodologies are most effective for my industry?
- The best use of process mapping to identify non value add
- Methods used to best streamline operations
- Business process management against best in class
- The drivers of world class warehousing operations
- Latest application of inventory management and demand planning techniques
- Proven process methodologoes and their application in industry
Case study research format allows for observation of a real life situation, such as an organisation, which may reflect a close "like for like comparison" with your organisation or type of problem. A range of opportunities are identified by viewing the current state of a supply chain and then developing scenario's that allow focus on critical processes or activities that influence performance outcomes.
The health of your data will drive more accurate performance outcomes and is compiled via interviews, on site observation and vetting of qualitative and quantitative content. This data collaction phase is controlled within a closed environment, which provides greater integrity during the model development process.