CASE STUDY:
AUTOMOTIVE DISTRIBUTION
The objectives for this project were to balance the daily workload for the distribution operation while minimizing total transportation costs. Both objectives were met by developing an integrated spreadsheet simulation model that simultaneously estimated transportation costs and distribution center workload balances. As the proposed shipping and delivery schedule was modified, the impact on total transportation was computed, allowing the shipper to quantify the cost tradeoffs between distribution work flows and transportation costs. The shipping schedule was also designed in such a way as to maximize trailer cube utilization in a random shipping environment. Optimization tools were applied including linear programming, Monte Carlo simulation and predictive regression analysis.
CASE STUDY:
JIT TRANSPORTATION OF INBOUND PRODUCTION MATERIALS
The objective of this project for a major automobile manufacturer was to develop the low-cost inbound material transportation schedule while meeting production requirements at the assembly plant on a JIT basis. Given specific daily quantities, weights and cubic dimensions of each part, detailed routings and pickup schedules were also developed. Specific delivery schedules were also developed for each of the five delivery locations. Routes were developed to maximize trailer cube utilization while utilizing various truckload options including teams, singles, slip-seats and a dedicated fleet.
CASE STUDY:
D.C. LOCATION ANALYSIS
The objective of this project was to minimize total supply chain costs including distribution, inventory and transportation while determining the optimal distribution locations for a major retailer. Six feasible scenarios were developed with various distribution center location combinations and the associated outbound truckload transportation costs of each alternative. The detailed analysis allowed this shipper to make the best decision regarding cost and service tradeoffs for their national distribution network.