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Project #1 Optimization Model

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Presentation on theme: "Project #1 Optimization Model"— Presentation transcript:

1 Project #1 Optimization Model
John H. Vande Vate Spring, 2001 1

2 Careful about Words... Plants can ship to
DCs (direct) or The Warehouse (indirect) All combined shipments come from the warehouse (not the Indiana plant). 2

3 Without Optimization For each DC there are 4 options:
All parts direct All parts via Indianapolis warehouse Green Bay & Indianapolis ship via warehouse Denver & Indianapolis ship via warehouse Easy to calculate which of these is cheaper …. 3

4 But... Ignoring the inventory implications at the plants and warehouse for indirect shipments Why? 4

5 Not per DC 5

6 Inventory at the Warehouse
6

7 Approaches Inbound: Half a truckload Outbound: ?
The problem of different headways Estimates: Average Headway (too small and hard to model) Maximum Headway (too large, easy to model) 7

8 What’s right? Aware of the need for estimation
Explain and understand the estimates you use Evaluate the quality empirically The real story? 8

9 Time How much does indirect shipment add to the time to market?
Production Production Demand 9

10 EOQ How to calculate the optimal shipment size? Is the cost per unit:
Distance/Q + Interest Rate*Value or Distance/Q + Interest Rate*Value/2? 10

11 Actually, Neither Want to minimize This is not separable… Cost of
Inventory at Plant: S Qi2/(2SQi) Inventory at the DCs: SQi/2 Transportation: Sdistance*D’/Qi This is not separable… 11

12 Approximation Approximate inventory at Plant by Average Q/2
If n DCs are served directly, EOQ = (2*fixed*Annual Demand/ci)*n/(n+1) So, the better approximation appears to be (2*fixed*Annual Demand/ci) Unless n is very small, e.g., 1 or 2 12

13 Without Optimization Ignore inventory at the plants and at the warehouse Calculate best strategy at each dc All Direct: $4.5 million Only Denver via Indianapolis: $4.1 million Only GB via Indianapolis: $3.5 million All via Indianapolis: $3.0 million Best at each DC: $3.0 million 13

14 Conclusions Optimal solution will supply most dcs via Indianapolis
EOQ for Direct shipments might be closer to (fixed*Annual Demand/ci)  (2*fixed*Annual Demand/ci)*n/(n+1) EOQ for shipments via Indianapolis might be closer to (2*fixed*Annual Demand/ci) 14

15 Overview Sets Parameters PLANTS DCS
OPTIONS: All direct, none direct, ... Parameters Distances EOQs for direct shipments and each option via the warehouse 15

16 Variables Select an option for each dc
Whether or not each plant ships to the warehouse Optionally, indicate whether or not each plant serves each dc directly (can be inferred from the option chosen. Maximum Shipment Value from each plant and from the warehouse to calculate inventory costs 16

17 Objective Transportation Costs Inventory Costs
Carrying cost for 1/2 the appropriate EOQ at the DCs 1/2 the maximum value of a shipment at the plants and the warehouse Carrying cost of 1/2 a truckload at the warehouse for each plant that ships to the warehouse. 17

18 Constraints Select a single option at each dc
Whether or not each plant ships to the warehouse Calculate the maximum shipment value from each plant Calculate the maximum shipment value from the warehouse 18


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