In the "Two Echelon Multi Commodity Location Models" how can you modify the original problem so that: 1. A plant i cannot produce a commodity k 2. A DC j cannot be serviced by a plant i 3. Time required to serve a demand point r from potential DC j is not too long For each of the above cases think of the modifications and state them as mathematical formulations together with their explanations. The problem can be found in file "Online Lecture 5 on slides 2-6. 10:09 PM . Three main objectives: pareto optimal Capital reduction set of solutions Cost reduction Service level improvement C dominates B ACDE Cost efficient solution, undominated Service Level 10:09 PM CalFruit is an emerging Californian distributor of fresh fruit and vegetables In this competitive market, time required to meet orders influence the sales volume. BUT faster service comes at a higher cost. Orders Filled% Annual Sales Annual Cost 7096 4.48 4.41 7596 6.67 5,55 80% 8.17 5.99 85% 9.34 6.22 90% 9.87 6.87 95% 10,56 7.44 100% 11.52 12,84 Determine the service level that maximizes net revenue 10:09 PM In the "Two Echelon Multi Commodity Location Models" how can you modify the original problem so that: 1. A plant i cannot produce a commodity k 2. A DC j cannot be serviced by a plant i 3. Time required to serve a demand point r from potential DC j is not too long For each of the above cases think of the modifications and state them as mathematical formulations together with their explanations. The problem can be found in file "Online Lecture 5 on slides 2-6. 10:09 PM . Three main objectives: pareto optimal Capital reduction set of solutions Cost reduction Service level improvement C dominates B ACDE Cost efficient solution, undominated Service Level 10:09 PM CalFruit is an emerging Californian distributor of fresh fruit and vegetables In this competitive market, time required to meet orders influence the sales volume. BUT faster service comes at a higher cost. Orders Filled% Annual Sales Annual Cost 7096 4.48 4.41 7596 6.67 5,55 80% 8.17 5.99 85% 9.34 6.22 90% 9.87 6.87 95% 10,56 7.44 100% 11.52 12,84 Determine the service level that maximizes net revenue 10:09 PM