DHL Global Forwarding Case Study - Consolidation Program - Integer Linear Programming - Review Writing Assignment Help

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Assignment Task:
DHL Global Forwarding Case Study Consolidation Program Integer Linear Programming Review Writing Assignment Help
 

Each team will review the Case “DHL Global Forwarding: “Consolidation Program” available in the course folder in LMS. Each team will submit an analysis report that addresses the following questions. Attach all analysis documents (spreadsheets, feasible region, network diagram, etc.) to the report. Please put the names of the team members on the documents you submit.

Synopsis: Amit Dutta, Regional Director of Freight Forwarding firm DHL Global Forwarding (DGF) was analyzing weekly demand in order to consolidate various shipments
from clients across South India before shipping to Frankfurt, Germany. In light of its expanding business in Europe, DGF envisages more business from South India. To compete in new emerging global freight forwarding environment, it needs to develop a new and appropriate consolidation plan.
 

Question to address:

Can Datta create a freight forwarding program on a weekly basis using the Integer Linear Programming (ILP) model? What are the appropriate decision variables? What is the objective function? What are the constraints? State the assumptions being made and discuss the approach being used.

Use the data and details about the freight forwarding process given in the case to

i) formulate the ILP model,

ii) to compute shipment quantity for each origin and each day, relevant airline and road transportation costs and finally the daily revenues. Solve the ILP model you developed using SOLVER. Compare the profits under the current system and that proposed by Datta. How does delay risk affect the profits? Overall, what
insights does Datta gain from the development of the ILP model and its solution.Submit a short 1-page report along with the problem formulation, all SOLVER sheets/output and any other computations that you might use in analyzing the model.

 

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