Vehicle Routing Problem Thesis

Vehicle Routing Problem Thesis-88
One way is to relocate a node in a route (say route B) to another route (say route A) i Route A j j i i Route B Depot We need to choose the route from which one node will be removed (route B) and the route to which the node will be inserted (route A). Architectural Design Decompose software into components Define data input and output requirement, data structure, etc. To remain successful More information E-Logistics Successes and Failures Copyright April 2002 H. Donald Ratliff 1 Executive Director Regents & UPS Professor [email protected] & CEO [email protected] information INTEGRATED OPTIMIZATION OF SAFETY STOCK AND TRANSPORTATION CAPACITY Horst Tempelmeier Department of Production Management University of Cologne Albertus-Magnus-Platz D-50932 Koeln, Germany More information AN ABSTRACT OF THE THESIS OF Kyler S.

One way is to relocate a node in a route (say route B) to another route (say route A) i Route A j j i i Route B Depot We need to choose the route from which one node will be removed (route B) and the route to which the node will be inserted (route A). Architectural Design Decompose software into components Define data input and output requirement, data structure, etc. To remain successful More information E-Logistics Successes and Failures Copyright April 2002 H. Donald Ratliff 1 Executive Director Regents & UPS Professor [email protected] & CEO [email protected] information INTEGRATED OPTIMIZATION OF SAFETY STOCK AND TRANSPORTATION CAPACITY Horst Tempelmeier Department of Production Management University of Cologne Albertus-Magnus-Platz D-50932 Koeln, Germany More information AN ABSTRACT OF THE THESIS OF Kyler S.

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Intraroute improvement (changing the sequence of customers within a route) Examples: Opt Opt.

Interroute improvement Exchanging customers between routes Exchanging segments of routes between routes Example of Intraroute improvement: opt algorithm Do a swap of arc pairs in a route if it can reduce the cost (or time).

Mathematics FCT UNL *[email protected] Rui Carvalho Oliveira** CESUR/Dept.

Civil Engineering IST UTL **[email protected] More information ISSN (Online): 1694-0784 ISSN (Print): 1694-0814 Towards Participatory Design of Multi-agent Approach to Transport Demands 10 Yee Ming Chen 1, Bo-Yuan Wang Department of Industrial Engineering and Management More information Graph Essentials Graph Basics Measures Graph and Essentials Metrics 2 2 Nodes and Edges A network is a graph nodes, actors, or vertices (plural of vertex) Connections, edges or ties Edge Node Measures More information Fleet Size and Mix Optimization for Paratransit Services Liping Fu and Gary Ishkhanov Most paratransit agencies use a mix of different types of vehicles ranging from small sedans to large converted vans More information Advanced OR and AI Methods in Transportation A WEB-BASED TRAFFIC INFORMATION SYSTEM USING WIRELESS COMMUNICATION TECHNIQUES Akmal ABDELFATAH 1, Abdul-Rahman AL-ALI 2 Abstract.

Milton Stewart More information Un algorithme génétique hybride à gestion adaptative de diversité pour le problème de tournées de véhicules et ses variantes Thibaut VIDAL LOSI et CIRRELT Université de Technologie de Troyes et Université More information in The Vehicle Routing Problem: Latest Advances and New Challenges Modeling and Solving the Capacitated Vehicle Routing Problem on Trees Bala Chandran 1 and S. Phone: 732-332-5118 Fax: 732-949-9112 More information Project Time Management Study Notes PMI, PMP, CAPM, PMBOK, PM Network and the PMI Registered Education Provider logo are registered marks of the Project Management Institute, Inc.

Raghavan 2 1 Department of Industrial Engineering More information INTERNATIONAL JOURNAL OF COMPUTER ENGINEERING & TECHNOLOGY (IJCET) International Journal of Computer Engineering and Technology (IJCET), ISSN 0976 6367(Print), ISSN 0976 6367(Print) ISSN 0976 6375(Online) More information TOTAL LOGISTIC MANAGEMENT No. 15 24 Tomasz AMBROZIAK, Dariusz PYZA SELECTED ASPECTS OF TRANSPORTATION SYSTEM MODELLING Abstract: The paper presents selected aspects of the transport services More information Coordination in vehicle routing Catherine Rivers Mathematics Massey University New Zealand [email protected] A coordination point is a place that exists in space and time for the transfer of More information Backward Scheduling An effective way of scheduling Warehouse activities Traditionally, scheduling algorithms were used in capital intensive production processes where there was a need to optimize the production More information AS-D1 SIMULATION: A KEY TO CALL CENTER MANAGEMENT Rupesh Chokshi Project Manager AT&T Laboratories Room 3J-325 101 Crawfords Corner Road Holmdel, NJ 07733, U. Points to Note Please More information Internet Firewall CSIS 4222 A combination of hardware and software that isolates an organization s internal network from the Internet at large Ch 27: Internet Routing Ch 30: Packet filtering & firewalls More information Material Requirements Planning MRP ENM308 Planning and Control I Spring 2013 Haluk Yapıcıoğlu, Ph D Hierarchy of Decisions Forecast of Demand Aggregate Planning Master Schedule Inventory Control Operations More information Multi-Agent Technology & Scheduling Solutions Knowledge Genesis, Ltd Real Time Scheduling Solutions Based on Multi-Agent Technology Prof.

Solution idea: Approximate f (y k ) by some linear function: ijk = f (y k ) ~ ik ik i The coefficient, c ik, represents the approximated cost of putting customer i on route k. Idea : cheapest insertion cost Idea : use the concept of opportunity cost Steps of the generalized assignment Step : Assign a seed to each vehicle (or route) where the seeds are farthest away from each other (Suppose that we have vehicles) D 0 Step : Evaluate the cost of inserting the customers into the existing routes.

Option : Approximate by the cheapest insertion cost a 9 9 D Customer 7 Best choice for customer : c cost = 7 Best choice for customer : b cost = Best choice for customer : b not available Second best for customer : a cost = 9 Total cost: 8 c Customer b Customer Option : Approximate by Opportunity cost or Regret Regret = Cost for second best choice cost for the best choice Customer with the highest opportunity cost should be inserted first a 9 9 D Customer 7 c Opportunity cost for customer : Opportunity cost for customer : Opportunity cost for customer : 6 Opportunity cost for customer : Opportunity cost for customer : Customer b Customer customer to b: customer to c: 7 customer to a: Total: Regret () a Customer From to c route: From to b route: 7 From to a route: 8 Regret() = 6 From to c route: 0 From to a route: From to b route: D c Regret() = Customer b Step : Insert the customers according to the rank of regrets one at a time. Tour improvement Methods There are general types of methods:.

Below we consider a case where customers may impose delivery timewindows. Contents More information Improving Emergency Medical Dispatching with Emphasis on Mass-Casualty Incidents, Harald Burgsteiner, Martin Bernroider, Günter Kiechle, Maria Obermayer Dispatcher s Challenges Dispatching ambulances is More information 1 VEHICLE ROUTING AND SCHEDULING PROBLEMS: A CASE STUDY OF FOOD DISTRIBUTION IN GREATER BANGKOK By Kuladej Panapinun and Peerayuth Charnsethikul Abstract Vehicle routing problem (VRP) and its extension More information Dynamic Load Planning for Less-Than-Truckload Carriers Schneider Professor Georgia Institute of Technology Joint work with Alan Erera, Mike Hewitt, Yang Zhang TRANSLOG, December 10, 2009 Part I: Advances More information Poznan University of Technology Department of Motor Vehicles and Road Transport ZPSi TD Dynamic Vehicle Routing in MATSim Simulation and Optimization Michal Maciejewski [email protected] information Outline IEEM241 Routing and Fleet Management Course summary Essence of decision models Decision models - examples Raymond Cheung Spring 2005 Course - Objectives Learn how to model decision problems in More information Fleet Modeling 10 Purpose This activity introduces you to the Vehicle Routing Problem (VRP) and fleet modeling through the use of a previously developed model.

opt Note: the indices i and j are in the order of the nodes being visited in a given tour. Using the model, you will explore the relationships More information International Conference on Industrial Engineering and Systems Management IESM 2011 May 25 - May 27 METZ - FRANCE Two objective functions for a real life Split Delivery Vehicle Routing Problem Marc Uldry More information Integrated support system for planning and scheduling...

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  • Capacitated Vehicle Routing Problem with Time Windows A Case Study on.
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    Capacitated Vehicle Routing Problem with Time Windows A Case Study on Pickup of Dietary Products in Nonprofit Organization by Xiaoyan Li A Thesis Presented in Partial Fulfillment…

  • VEHICLE ROUTING PROBLEMS - Cornell University
    Reply

    VEHICLE ROUTING PROBLEMS Patrick R. Steele, Ph. D. Cornell University 2017 In this dissertation we consider variants of the vehicle routing problem applied to two problem areas. First, we consider the problem of scheduling deliveries from a central depot to clients in a metric space using a single delivery vehicle.…

  • A LARGE-SCALE NEIGHBORHOOD SEARCH APPROACH TO VEHICLE ROUTING.
    Reply

    Statement of the problem In this thesis we study the problem of vehicle routing with pickup and delivery with time windows, commonly referred to as VRPPDTW. As defined in Toth 1, ‘The vehicle routing problem with pickup and delivery with time windows…

  • The dynamic vehicle routing problem - dk
    Reply

    The thesis begins by introducing the dynamic vehicle routing problem and discusses the di erences between static and dynamic VRPs as well as pro- vides some examples of real-life examples of DVRP.…

  • Solving the Capacitated Vehicle Routing Problem with a Genetic Algorithm
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    The aim of this research is to verify whether the Genetic Algorithm for the Vehicle Routing Problem is competitive to other, well-known heuristics in terms of solution quality and computing time. 1.1 The Vehicle Routing Problem The classical Vehicle Routing Problem VRP is a combinatorial optimization problem, introduced by…

  • Solution methodologies for vehicle routing problems with stochastic demand
    Reply

    We present solution methodologies for vehicle routing problems VRPs with stochastic demand, with a speci c focus on the vehicle routing problem with stochas-tic demand VRPSD and the vehicle routing problem with stochastic demand and duration limits VRPSDL. The VRPSD and the VRPSDL are fundamental prob-…

  • On the vehicle routing problem with time windows - dk
    Reply

    The vehicle routing problem with time windows is concerned with the optimal routing of a fleet of ve-hicles between a depot and a number of customers that must be visited within a specified time interval, called a time window. The purpose of this thesis is to develop new and efficient solution techniques for…

  • Modeling and solving vehicle routing problems with many available.
    Reply

    In this thesis, models have been formulated and mathematical optimiza-tion methods developed for the heterogeneous vehicle routing problem with a very large set of ailableav vehicle ypes, called many VRP-h. This is an extension of the standard heterogeneous vehicle routing problem…

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