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Electric Vehicle Routing Problem with Time Windows and Mobile Recharging

Ghorbanalizadegan, Mohammad Reza | 2022

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 55681 (01)
  4. University: Sharif University of Technology
  5. Department: Industrial Engineering
  6. Advisor(s): Akbari Jokar, Mohammad Reza
  7. Abstract:
  8. Due to the huge contribution of commercial transportation in creating pollutants, if various companies around the world are able to use electric vehicles, a big step will be taken in the direction of reducing pollution and expanding green supply chains. Despite the development of the infrastructure of electric vehicles and their use to transport goods and serve customers, this clean technology still faces many challenges.Among the weaknesses that researchers have been trying to deal with since the formation of electric vehicle routing is their low range of motion. After examining the way of using commercial electric vehicles, this research introduces the routing model of electric vehicles with re-time window and mobile recharging (MR-EVRPTW), in addition to dealing with the low range of motion of these vehicles and minimizing the costs, the infrastructure of its use. To provide recharging in areas where there are no recharging networks. The main objective of the MR-EVRPTW problem is to find the optimal combination of electric vehicles and mobile recharging vehicles to determine when each customer and electric vehicle receives its service and by which vehicles. It is also clear that each ECV will receive a recharge in case of need in which customer node, in what amount and at what time. Due to the dependence of the two types of vehicles considered in the problem, to solve it on a large scale, the combination of variable neighborhood search algorithm and exact number programming has been used, which performs this task well
  9. Keywords:
  10. Location-Routing Problem (LRP) ; Electric Motor Vehicles ; Variable Neighborhood Search ; Integer Programming ; Routing with Time Window ; Electric Location-Routing Problem ; Partial Recharging ; Mobile Recharging ; Green Supply Chain

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