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Often this is a realistic More information Design and Analysis of ACO algorithms for edge matching problems Carl Martin Dissing Söderlind Kgs.Lyngby 2010 DTU Informatics Department of Informatics and Mathematical Modelling Technical University More information Optimization Modeling for Mining Engineers Alexandra M.Kilmer PO Box 110240 Food and Resource Economics Department Institute of Food and Agricultural More information Computers & Operations Research 33 (2006) 3508 3519 A Road Timetable TM to aid vehicle routing and scheduling Richard Eglese a,, Will Maden a, Alan Slater b a Department of More information Hybrid Heterogeneous Electric Fleet Routing Problem with City Center Restrictions Gerhard Hiermann 1, Richard Hartl 2, Jakob Puchinger 1, Thibaut Vidal 3 1 AIT Austrian Institute of Technology 2 University More information Transportation Management Network & Hubs Chris Caplice ESD.260/15.770/1.260 Logistics Systems Dec 2006 Distribution System Approach Distribution System Number and location of transshipment points Routes More information Client Overview Our client is one of the leading providers of business intelligence systems for customers especially in BFSI space that needs intensive data analysis of huge amounts of data for their decision More information Stochastic Ship Fleet Routing with Inventory Limits YU YU Doctor of Philosophy University of Edinburgh 2009 Declaration I declare that this thesis was composed by myself and that the work contained therein More information Model, Analyze and Optimize the Supply Chain Optimize networks Improve product flow Right-size inventory Simulate service Balance production Optimize routes The Leading Supply Chain Design and Analysis More information Network (Tree) Topology Inference Based on Prüfer Sequence C.
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.
Then, we can follow the procedure below: Backhaul (pickup and delivery) Not just delivery goods from the depot, but also pick up goods from customers Multiple depots Vehicles can be coming from different depots Split orders May have more than one delivery to a customer The case of a chemical product manufacturer: orders Customer service Production unit Warehouse Information system Fleet unit delivery Sites Multiple factories in Pearl River Delta Supply petrol chemical products to customers in PRD 7 Production Justintime production Distribution 0 0 trucks per factory Order cutoff at pm More than trip per vehicle Divide region in zones and one route per zone Process Receive an order Estimate the order finishing time Sort the orders to be finished on tomorrow Estimate the delivery schedules According to the delivery schedules, reestimate the production schedules When the orders are ready, ask warehouse people prepare for the loading Ask fleet unit to send trucks to warehouse for loading Operation Issues Information is not synchronized Paper work between units Spend hours in determining initial delivery schedules Low truck utilization Difficult to entertain customer s request on exact/approximate delivery time Urgent orders (some trucks are reserved to handle urgent order) DECISION SUPPORT SYSTEMS FOR What is a decision support system? Select programming languages Detailed Design and Production Detailed design of lowerlevel components Coding Integrating components Testing Transfer Installation Acceptance tests Operations and Maintenance Final acceptance 0 Data Preparation for DSS: Customer independent Customer dependent Static Raw location data: Road, speed limit, tolls, major intersections, landmarks, etc. between points of interests (via shortest path methods on raw location data) Locations Trucks Details (e.g. What are the costs if different numbers of vehicles are used? 105-111, Summer 2013 Journal homepage: Collection Vehicle Routing Problem Considering Similarity Pattern of Trashcan More information Fowler Distributing Company Logistics Network Routing Analysis Anthony Vatterott, Brian Vincenz, Tiffany Bowen Executive Summary Our firm was contracted by Fowler Distributing Company to provide analysis More information Transportation A key decision area within the logistics mix Chapter 14 Transportation in the Supply Chain Inventory Strategy Forecasting Storage decisions Inventory decisions Purchasing & supply planning More information OPTIMIZED H O M E C A R E S C H E D U L I N G AND ROUTING A White Paper for Home Care Executives and Operations Managers ALGORITHM-BASED OPTIMIZATION FOR SOLVING THE SCHEDULING AND ROUTING PROBLEMS IN More information Constraint Programming for the Vehicle Routing Problem Philip Kilby A bit about NICTA National Information and Communications Technology Australia (NICTA) Research in ICT since 24 Major Labs in Sydney, More information Dave Sly, Ph D, MBA, PE Iowa State University Tuggers deliver to multiple locations on one trip, where Unit Load deliveries involve only one location per trip. Kokenge for the degree of Master of Science in Forest Engineering and Civil Engineering presented on June 8, 2011.
This paper presents a procedure 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.
Points to Note Please More information Asset Tracking Solution State-of-the art fleet management and vehicle tracking solution to increase your productivity.
What are the differences between Databases, Enterprise systems, Decision support systems? User interface Decision support system development Analyzing the needs o Focus on causes, not symptoms o What will be the reasonable expectation? capacity, loading and unloading time, running cost) Drivers Details (e.g. size, weight, price) Dynamic Travel flow pattern Road restriction Demand data: Orders Details (e.g. product to be ordered, quantity) Processing on preliminary static data: Use shortest path engine to compute the distance, cost, or time, etc. Engine for the DSS A combination of Saving Heuristics, Generalized assignment (Fisher Jaikumar method), tour improvement (Opt, Or Opt), and different insertion methods. Vehicle Routing and Scheduling Martin Savelsbergh The Logistics Institute Georgia Institute of Technology Vehicle Routing and Scheduling Part I: Basic Models and Algorithms Introduction Freight routing More information P13 Route Plan Vehicle Routing Problem (VRP) Principles of Good Routing Technologies to enhance Vehicle Routing Real-Life Application of Vehicle Routing E216 Distribution &Transportation Vehicle Routing More information The Trip Scheduling Problem Claudia Archetti Department of Quantitative Methods, University of Brescia Contrada Santa Chiara 50, 25122 Brescia, Italy Martin Savelsbergh School of Industrial and Systems More information 0-7695-1435-9/02 $17.00 (c) 2002 IEEE 1 Cost Models for Vehicle Routing Problems John Sniezek Lawerence Bodin Route Smart Technologies Decision and Information Technologies 8850 Stanford Boulevard, Suite More information Research Paper Business Analytics Applications for the Vehicle Routing Problem Jelmer Blok Applications for the Vehicle Routing Problem Jelmer Blok Research Paper Vrije Universiteit Amsterdam Faculteit More information Load Building and Route Scheduling for SAP ERP Optimization Excellence Advanced 3D Load Building and Dynamic Route Scheduling Designed for use with SAP ERP Maximize your SAP ERP capabilities for shipping More information International Journal of Applied Operational Research Vol. Tugger deliveries are more complex since the More information Transvision Waste Planner Improving waste collection and transport efficiency TRANSVISION WASTE PLANNER facilitates major cost savings and impressive CO 2 emission reductions in your waste collection and More information Managing Transportation in a Supply Chain Chapter 14 Sections 4.3, 4.4 and 4.5 1 Outline Key modes of transport and major issues Transportation System Design Tradeoffs in transportation design Transportation More information Load Planning for Less-than-truckload Carriers Martin Savelsbergh Centre for Optimal Planning and Operations School of Mathematical and Physical Sciences University of Newcastle Optimisation in Industry, More information Journal of Agribusiness 22,2(Fall 2004):93S106 2004 Agricultural Economics Association of Georgia Scheduling and Routing Milk from Farm to Processors by a Cooperative Peerapon Prasertsri and Richard L. Title: Opportunities and Challenges for Decision More information Application of Business Intelligence in Transportation for a Transportation Service Provider Mohamed Sheriff Business Analyst Satyam Computer Services Ltd Email: [email protected], [email protected] information Integer Programming INTEGER PROGRAMMING In many problems the decision variables must have integer values. general Subset Sum Reducing one problem to another Clique More information Discrete Optimization [Chen, Batson, Dang: Applied integer Programming] Chapter 3 and 4.1-4.3 by Johan Högdahl and Victoria Svedberg Seminar 2, 2015-03-31 Todays presentation Chapter 3 Transforms using More information GENERAL SYSTEM CHARACTERISTICS The software should be a true Windows Client/Server program.
Database Organized storage of data Minimize data redundancy and inconsistency Data retrieval, search, and sort Enterprise system Minimize inconsistency across databases Realtime data Integrating databases Decision support system A system to support decision making Extract data and process data intelligently 8 The Components of DSS:. Data Development o Data administration is a critical requirement for longterm success o DSS requires their own database to produce effective results o Is historical data available? Modelbase o Model contents should be consistent with its goals: strategic, tactical, or operational? Resulting handling and tools for analysis Visualizing results o Gantt charts o Static route display o Animation Allow users to make changes Measure performance Compare scenarios Whatif analysis Typical decision support What are some good suggested solutions? More information TECHNISCHE UNIVERSITEIT EINDHOVEN Branch-and-Price Approach to the Vehicle Routing Problem with Time Windows Lloyd A. Example: assign people, machines, and vehicles to activities in integer quantities. The software should be currently installed and operational under any Microsoft supported Windows operating system.Newman Division of Economics and Business Slide 1 Colorado School of Mines Seminar Outline Linear Programming Integer Linear Programming Slide 2 More information Strategic Planning and Vehicle Routing Algorithm for Newspaper Delivery Problem: Case study of Morning Newspaper, Bangkok, Thailand Arunya Boonkleaw, Nanthi Sutharnnarunai, Ph D., Rawinkhan Srinon, Ph D.More information Unit Load Storage Policies Marc Goetschalckx [email protected] 2013, Santiago, Chile 1 Instructor Information Born in Belgium Georgia Tech Total research career in logistics, material More information Minimizing fleet operating costs for a container transportation company Luca Coslovich a,b,, Raffaele Pesenti c, Walter Ukovich a,b a Dipartimento di Elettrotecnica, Elettronica ed Informatica, Università More information A Library of Local Search Heuristics for the Vehicle Routing Problem Chris Groër 1 Oak Ridge National Laboratory, 1 Bethel Valley Rd, Oak Ridge, TN 37831 [email protected] Golden R. Smith School More information On the Impact of Real-Time Information on Field Service Scheduling Ioannis Petrakis, Christian Hass, Martin Bichler 1 Department of Informatics, TU München, Germany Mobile phone operators need to plan More information Title: Integrating Management of Truck and Rail Systems in LA Project Number: 3.1a Year: 2013-2017 INTERIM REPORT August 2015 Principal Investigator Maged Dessouky Researcher Lunce Fu Metro Freight Center More information , July 3-5, 203, London, U. Real-Life Vehicle Routing with n-standard Constraints W. Lee Abstract Real-life vehicle routing problems comprise of a number of complexities that are not considered by More information Optimal Vehicle Routing with Real-Time Traffic Information Seongmoon Kim 1 Department of Industrial and Systems Engineering Florida International University 10555 W.Clarke Wright savings) Generalized assignment methods (e.g Fisher Jaikumar method) Tour improvement Intraroute improvement methods (e.g. Relocate) Tour construction method : Clarke Wright savings method 0 9 Given depot customers with known demand Vehicle capacity (00) Costs for traveling between customers Demand for customer Depot Basic Steps Identify the distance matrix Identify the savings matrix Combine routes s(, ) = 9 = 9 s(, ) = c(, ) c(, ) c(, ) = 7 = s(, ) = c(, ) c(, ) c(, ) = = 7 7 s(, ) = c(, ) c(, ) c(, ) = 7 = 8 Begin combining tours: starting with the highest savings and (a) the combined tour cannot exceed vehicle capacity, (b) insertion cannot be in the interior of a tour Demand () = 60 Demand () = Vehicle capacity = 00 Decision: combine the tour Depo 6 All nodes are visited once and the total cost is. We can use Heap to store the savings (from the largest to the smallest). Tour construction method : Generalized assignment method (also called Fisher Jaikumar Method) Assign seed points for each route Evaluate insertion cost for each customer Assign customers to routes Parameters d i u k : demand of customer i : capacity of vehicle k 8 Decision variables y x ik ijk if customer i is assigned to route k = 0 otherwise if i is visited followed by visiting j on route k = 0 otherwise Define: N(y k ) = all nodes on route k f(y k ) = the cost of route k Our objective is to minimize the route cost while satisfying the demand.Therefore, we can write the problem as follows: Example Vehicle y y = = 0 N( y ) = 0 6 Vehicle y y = 0 = N( y ) = subject to min f( y ) k dy i y k y k i ik ik ik u k k i= 0 = i=,..., n The cost of route f (y k ) is defined as follows: 9 f( y ) = min k c x ij ij ijk subject to x = y j = 0,..., n i x j ijk ijk i Q j Q ik ik x, Q N( y ) A big problem: f (y k ) is a complex, nonlinear function.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...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.For simplicity, we represent the route as a chain and ignore the physical shape of the route opt swapping illustration i i j j opt i i j j Randomly consider a pair of arcs and makes swap if it is feasible and can produce cost savings; Traverse the route from the starting point and make the swap once an eligible pair of arcs (feasible and cost savings) is found. 2003/4/24 page 75 #101 Chapter 5 Sequencing and assignment Strategies 5.1 Overview This chapter is dedicated to the methodologies used in this work More information Simulation of processes in a mining enterprise with Tecnomatix Plant Simulation Vladimir Medvedev Simulation of ore extraction on the open mountain works Page 2 Simulation objective To verify current control More information vii TABLE OF CONTENTS CHAPTER TITLE PAGE DECLARATION DEDICATION ACKNOWLEDGEMENT ABSTRACT ABSTRAK TABLE OF CONTENTS LIST OF TABLES LIST OF FIGURES LIST OF ABBREVIATIONS LIST OF SYMBOLS LIST OF APPENDICES More information A Branch-Cut-and-Price Approach to the Bus Evacuation Problem with Integrated Collection Point and Shelter Decisions Marc Goerigk, Bob Grün, and Philipp Heßler Fachbereich Mathematik, Technische Universität More information Tactical Routing The leading solution for optimizing your transport on a tactical level How do we deploy our company fleet with optimal efficiency?Example of Interroute improvement: Relocate Consider the swapping between two existing routes. Are we assuming: o Perfect data o Dispatchers follow instruction exactly o Drivers follow instruction exactly o Shippers with perfectly predictable demands o Personnel from different department have the same goal 9 Source: P.7, Mazza, Faircloug, Melton, de Pablo, Scheffer, Stevens, Software Engineering Standards, Prentice Hall Major phases in DSS development (and examples of activities) User Requirement Definition Capture, determine, specify and verify user requirements Software Requirement Definition Construct logical model Specify functional, performance, documentation, acceptance testing requirements, etc. Challenges The supply chain sector is currently under More information A Hybrid Heuristic Method for the Compressed Natural Gas (CNG) Truck Routing Problem with Fueling Stations Author: Advisor: Yihuan (Ethan) Shao Maged Dessouky Outline Introduction Literature review Problem More information Fleet Management Optimisation Sindre Soltun Master of Science in Communication Technology Submission date: January 2007 Supervisor: Steinar Andresen, ITEM Co-supervisor: Per Stein, Nordisk Mobiltelefon More information Meeting Your Challenges At CRM Alliance, we understand your need to streamline operations in the face of increased competition, increased customers demand and cost-cutting initiatives.