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Multi objective Vehicle Routing Problems With Simultaneous Delivery and Pickup
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Multi objective Vehicle Routing Problems With Simultaneous Delivery and Pickup

Category : Automation


Sub Category : Ambient light


Project Code : ITAM04


Project Abstract

This paper investigates a practical variant of the vehicle routing problem (VRP), called VRP with simultaneous delivery and pickup and time windows (VRPSDPTW), in the logistics industry. VRPSDPTW is an important logistics problem in closed-loop supply chain network optimization. VRPSDPTW exhibits multiobjective properties in realworldapplications. In this paper, a general multiobjectiveVRPSDPTW (MO-VRPSDPTW) with five objectives is first defined, and then a set of MO-VRPSDPTW instances based on data from the real-world are introduced. These instances represent more realisticmultiobjective nature and more challenging MO-VRPSDPTW cases. Finally, two algorithms, multiobjective local search (MOLS) and multiobjectivememetic algorithm (MOMA), are designed, implementedand compared for solving MO-VRPSDPTW. The simulation results on the proposed real-world instances and traditional instances show that MOLS outperforms MOMA in most of instances. However, the superiority of MOLS over MOMA in real-world instances is not so obvious as in traditional instances.



Existing system

Proposed system

Ø   Here human concentrate is needed to delivery and pick up the services

Ø   Its fully depends on man power source

 

 

 

Drawbacks of existing system:

Ø  Manual driving needed

Ø  Human intervention is needed to monitor and drive

 

    Ø  In proposed system, we can design a new system to delivery and pick up services fully automatic manner

 

 

Advantage of proposed system:

     Ø  Human intervention is less

     Ø  Fast response

 
 
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