Routing for Urgency Logistics

S. P. Anbuudayasankar, K. Ganesh and Sanjay Mohapatra
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S. P. Anbuudayasankar: Amrita School of Engineering
K. Ganesh: McKinsey Knowledge Center India
Sanjay Mohapatra: Xavier Institute of Management

Chapter Chapter 6 in Models for Practical Routing Problems in Logistics, 2014, pp 123-142 from Springer

Abstract: Abstract Bi-Objective Vehicle Routing Problem with Forced Backhauls (BVFB) can be stated as follows: A set of N nodes with deterministic demands (for delivery and pick-up services) have to be visited by a fleet of homogeneous vehicles where in all the vehicles should start and finish at the same node (depot). A set of pick-up nodes are forced to visit in a sequential manner and it is known a priori for the route planner. The reason for forcing the pickup node in sequential manner is considered because the supervisor in the first pickup node of the sequence will join the vehicle to supervise the forthcoming pickup nodes and he will be dropped off in the last pickup node in the sequence. This is primarily done because few organisations have only one supervisor to supervise his set of pickup nodes. So the pickup nodes are divided into sets based on the organisation and if a vehicle visits the first pickup node in the first set then it is mandatory to complete all the pickup nodes that belong to that set and is the same applicable for the remaining sets. Set of pick-up nodes is an input for the problem. Nevertheless the sequence of visiting those pick-up nodes is not an input and it is considered for routing optimisation. The variant includes the constraints to restrict the inclusion of delivery nodes until that particular set of backhaul nodes are served.

Keywords: Banking Sector; Vehicle Capacity; Chromosome Representation; Automate Teller Machine; Swap Mutation (search for similar items in EconPapers)
Date: 2014
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DOI: 10.1007/978-3-319-05035-5_6

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