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Multiple Route Optimization Kunkel Trucklines Team 2 Merina Kansakar Adam Nussbaum Maitri Thakur Brad Weed.

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Presentation on theme: "Multiple Route Optimization Kunkel Trucklines Team 2 Merina Kansakar Adam Nussbaum Maitri Thakur Brad Weed."— Presentation transcript:

1 Multiple Route Optimization Kunkel Trucklines Team 2 Merina Kansakar Adam Nussbaum Maitri Thakur Brad Weed

2 Agenda Problem description Results of optimized solution Comparison of old vs. optimized solution Sensitivity Analysis Recommendations

3 Problem Description Kunkel Trucklines: Refrigerated grocery freight Depot- Worthington, MN 7 stops –Sheldon, IA –Sioux City, IA –Missouri Valley, IA –Council Bluffs, IA –Hamburg, IA –Saint Joseph, MO –Kansas City, MO 0,0 67,95 15,25 33,138 26,200 32,151 -33,276 -17,249

4 Kunkel Trucklines Routing Data Total cost per mile = $ 1.283 Fuel cost = $ 0.57 Driver wage = $ 0.37 Licenses = $ 0.02 Tires = $ 0.04 Repairs = $ 0.04 Worker’s compensation = $ 0.04 Insurance = $ 0.07 Depreciation = $ 0.133

5 Kunkel Trucklines Routing Data DestinationShipment volume (lbs) Delivery windows Sheldon, IA29,00012 am – 7 pm Sioux City, IA38,00012 am – 9 am Missouri Valley, IA31,00010 am – 11 pm Council Bluffs, IA24,00012 am – 4 am Hamburg, IA19,00012 am – 1 pm St. Joseph, MO16,00012 am – 3 am Kansas City, MO5,0002 am – 6 am

6 Current Model Number of trucks is 7 Maximum capacity of 44,000 lbs Total cost = $ 3,361.46 per week Driver’s break schedule: –1 hour break after 6 working hours –9 hour break after another 8 working hours

7 Optimal Routing Model Total Cost = $ 2,389.07 Number of Trucks used = 5 1: Worthington, MN Sheldon, IA 2: Worthington, MN Sioux City, IA 3: Worthington, MN Missouri Valley, IA 4: Worthington, MN -> Council Bluffs, IA -> Hamburg, IA -> Worthington, MN 5: Worthington, MN -> St. Joseph, MO -> Kansas City, MO -> Worthington, MN

8 Current vs. Optimal Solution 29 % reduction in cost from $ 3,361.46 to $ 2,389.07 per week 5 trucks used instead of 7

9 Sensitivity Analysis Delivery Windows Fuel Cost Number of Trucks Shipment Volume

10 Delivery Windows Location 4. Council Bluffs, IA –12:00 am -5:00 am  12:00 am - 3:00 am Location 5. Hamburg, IA –12:00 am -1:00 pm  12:00 am - 7:00 am Location 6. St. Joseph, MO –12:00 am -3:00 am  2:00 am - 4:00 pm Location 7. Kansas City, MO –2:00 am -6:00 am  9:00 am - 8:00 pm

11 Delivery Windows RouteOriginal Service Destinations New Service Destinations 3Missouri Valley, IA Kansas City, KS 4Council Bluffs, IA Hamburg, IA Council Bluffs, IA 5St. Joseph, MOHamburg, IA St. Joseph, MO 9.5% cost increase from $2,389 to $2,622

12 Fuel Cost

13 Number of Trucks For less than 5 trucks, all destinations not serviced No change in the routes and cost for more than 5 trucks

14 Shipment Volume Council Bluffs and Hamburg: total weight of 43,000 lbs –Cannot increase more than 1000 lbs in total St. Joseph and Kansas City : total weight of 21,000 lbs If either of the other loads were to decrease, possible to combine loads and reduce total transportation cost

15 Recommendation Use optimized solution – 5 trucks for 7 stops – Weekly savings of $972.39 – $50,564.28 savings annually

16 Thank you Questions?


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