代写 Workgroup

Workgroup
Prof. Guido Perboli

 Upload a zip file including:
 Presentation (Pdf or PowerPoint)
 Accompanying document (Pdf or Word). The document must includes a brief description of the model and a discussion of the results.
 Cplex project including the LP model and related data: export .  Duration of the presentation: Max 10 minutes
 After the presentation, each group has to modify the model according to a new requests.
G. Perboli – Workgroup
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Rules

 Compliance of the uploaded material with the specifications:  up to -10% in case of non compliance
 Quality of the presentation (including professionality in the presentation):
 30%
 Answer to additional questions:
 10%
 Correctness of the models:
 30%
 Solution analysis and proposals for improvement:
 30%
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Evaluation

 outFile=”MPVSBPP_SET1_IT200_ITV1_NT1_TS3_WT1_VT1_R EP1″;
 File where to put the output  m=200;
 Number of orders  o=34;
 Total number of vehicles (as sum of the available vehicles over all the types)
 p=3;
 Number of time intervals
 numVTypes=1;
 Number of vehicle types
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Dat file

 demand = […];
 Quantity of each order
 Depot_Cap = [30000, 30000, 30000];  Depot capacity in each time interval
 Tarif = [30, 9, 21];
 Cost for renting space in each time interval
 VeicVolume = [100];
 Avalilable volume (one for each vehicle type)
 VeicCost = [1000];
 Cost for vehicle renting (one for each vehicle type)
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Dat file

 VeicType = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1];
 Type of vehicle associated to each individual vehicle  Elect_vehicle = [[700, 1000, 300], [700, 1000, 300], …];
 For each individual vehicle and each time interval, it gives the cost for the delivery of one order (independently on its demand)
 Fix the cost for the express delivery to a very high value  Suggested: 10000
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Dat file

 Objective function
 Components of the objective function
 Warehouse costs  Delivery costs  Vehicle costs
 Filling ratios od the vehicles
 Average filling ratio per type
 Usage of the vehicles types
 How many types we really use?
 Hoe many vehicles per type?
 How many orders we assign to them?
 What is the computational time?  How many nodes we explore?
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Possible axes of analysis