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Ultriva User’s Conference 2012 Collaborative Planning and Execution

Ultriva User’s Conference 2012 Collaborative Planning and Execution. Presented by Narayan Laksham. Planning and Execution. Planning group are data crunchers. They analyze Sales Forecasts Order history Production capacity Customer demands Supplier lead times Supplier performance

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Ultriva User’s Conference 2012 Collaborative Planning and Execution

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  1. Ultriva User’s Conference 2012 Collaborative Planning and Execution Presented by Narayan Laksham

  2. Planning and Execution • Planning group are data crunchers. They analyze • Sales Forecasts • Order history • Production capacity • Customer demands • Supplier lead times • Supplier performance • Safety stocks • Execution group are accountable for material availability and normally includes: • Procurement • Purchasing • Materials • Supply chain

  3. Roles • Planning is batch oriented and will focus on: • Getting right set of data • Crunch complex algorithms • Analyze results • Finally predict what to do • Execution is real time and will focus on: • Procuring parts • Supplier performance • Responding to exceptions • Ensuring no part shortages • Groups operate as silos but planning drives execution • Result: • Batch oriented process drives a set of real time processes • This worked well when manufacturing was producing to stock

  4. Ultriva ties planning and execution • Builds an iterative feedback loop

  5. Key questions about future requirements • Part shortages • When • How frequent • Which parts • Option to expedite or not • Impact of demand change • Resizing • Spike orders • Temporary sizing • Permanent sizing • $$ impact

  6. Identifying part shortages using a planning engine • Computes on-hand inventory for the planning period. It uses: • Current on-hand • Current lead time/transit time • Current Safety stock • Current lot size • Current Open orders and/or scheduled receipts • Highlights items with part shortages along with the amount and frequency • Provides recommendation on how to respond and when • Do “what if” analysis

  7. Resizing for future requirements • Simulate the planned consumption • Simulate the Kanban replenishment for that consumption • Compute the sizing parameters for the consumption • Average Daily Demand • S/X ratio • Safety Stock • Compute the number of cards to be added/deleted using the above and: • Current lead time/transit time • Current lot size • Provide an option to automatically apply the master data changes

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