Service Level Based Vehicle Routing Problem
DOWNLOAD
Download Service Level Based Vehicle Routing Problem PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Service Level Based Vehicle Routing Problem book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Service Level Based Vehicle Routing Problem
DOWNLOAD
Author : Ri Xia
language : en
Publisher:
Release Date : 2003
Service Level Based Vehicle Routing Problem written by Ri Xia and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Heuristic programming categories.
Optimization Of A Vehicle Routing Problem With Backhauls
DOWNLOAD
Author : Bei Xu
language : en
Publisher:
Release Date : 2015
Optimization Of A Vehicle Routing Problem With Backhauls written by Bei Xu and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with categories.
For all the industries associated with logistics and transportations, an efficient vehicle routing plan plays a significant role in reducing operational cost and increasing service level. Based on the desire of finding the optimal set of routes, the Vehicle Routing Problem (VRP) has been studied for over 50 years. This research looks into a Vehicle Routing Problem with Backhauls (VRPB), which is based on a real-world problem of an anonymous retail company. The purpose of this research is to help the company optimize their current routings and make the decisions of: (1) how to schedule the most efficient deliveries which meet delivery commitment times and satisfy all other constraints; (2) after delivery, whether or not should a vehicle go extra miles to pick up products from certain vendor, given that allowance will be offered if the company picks up products. In order to solve this Vehicle Routing Problem with Backhauls (VRPB), a Mixed Integer Linear Programming (MILP) model with the objective of minimizing total cost is developed. Compared to a traditional Vehicle Routing Problem (VRP), additional constraints, such as Precedence Constraint, Working and Driving Hour Constraint, and Time Window Constraint, are considered. With the data provided by the company, the optimal set of routes are found out, which generate the minimum total cost and satisfy all the constraints.
The Vehicle Routing Problem Latest Advances And New Challenges
DOWNLOAD
Author : Bruce L. Golden
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-07-20
The Vehicle Routing Problem Latest Advances And New Challenges written by Bruce L. Golden and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-07-20 with Business & Economics categories.
In a unified and carefully developed presentation, this book systematically examines recent developments in VRP. The book focuses on a portfolio of significant technical advances that have evolved over the past few years for modeling and solving vehicle routing problems and VRP variations. Reflecting the most recent scholarship, this book is written by one of the top research scholars in Vehicle Routing and is one of the most important books in VRP to be published in recent times.
Vehicle Routing Problems With Additional Constraints Imposed On Different Groups Of Customers
DOWNLOAD
Author : Thanh Tan Doan
language : en
Publisher:
Release Date : 2021
Vehicle Routing Problems With Additional Constraints Imposed On Different Groups Of Customers written by Thanh Tan Doan and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with categories.
The vehicle Routing Problem is one of the most studied problems in combinatorial optimization. During the last 60 years, an extensive effort of the academic research community has been devoted to fill the gap between academic and practical problem solving by considering more and more realistic constraints. In many real-world problems, customers who require service could be divided into different groups according to their nature, category, importance, or priority, etc. Additional constraints are then imposed on each group of customers with different purposes such as delivery order or minimum demand satisfaction level. In this research, we consider three problems which are: 1) Vehicle Routing Problem with Relaxed Priority Rule (VRP-RPR), 2) Clustered Traveling Salesman Problem with Relaxed Priority Rule (CTSP-d), and 3) Soft Cluster Vehicle Routing Problem (SoftCluVRP). These problems share a common feature of providing group-based service to customers and with additional constraints to customize service. For the first problem, we extend and improve a previous model and introduce an Adaptive Large Neighborhood Search (ALNS)-based metaheuristic. We also present a new instance set that simulates different situations in applying the problem with a method to deal with additional constraints imposed. For the second problem, we present new models and an Iterated Local Search (ILS)-based metaheuristic. For the third problem, we introduce different formulations and a ILS-based metaheuristic. Experiments are conducted on each problem and are compared to previous studies to evaluate the performance of the proposed methods.
Integrated Routing Models For Enhanced Product And Service Delivery
DOWNLOAD
Author : Mohammad Reihaneh
language : en
Publisher:
Release Date : 2018
Integrated Routing Models For Enhanced Product And Service Delivery written by Mohammad Reihaneh and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with categories.
Logistics constitutes a key function of modern-day supply chains and an indispensable prerequisite for the support and growth of conventional brick-and-mortar and online businesses. Whether for procurement or delivery purposes, manufacturers and service providers seek efficient and reliable logistical services. A 2014 Bloomberg survey reports that 73% of supply chain managers are experiencing a shift in their attitude towards transportation services; a function they now view as a key element of their business strategy. The advent of new mobile technologies and online platforms, the use of intermodal logistics, and the multiplication of customer-selected delivery options continue to prompt the development of large-scale complex transportation models. The scope of such models can address a single tier of the supply chain or lie at the interface of two tiers when this integration is necessary to reveal important managerial tradeoffs. Such problems require cutting-edge optimization techniques and powerful computing platforms. Given the scale and recurrence of logistical operations, data-driven optimized policies can achieve multi-million dollar savings in cost and significant improvement in service level. This dissertation develops, in its three essays, specialized algorithms for solving two integrated routing problems that have applications in bi-level transportation. Essay One proposes an exact branch-cut-and-price algorithm for the generalized vehicle routing problem (GVRP) which has applications in maritime transportation, survivable telecommunication network design, and health-care logistics. Decomposition techniques are used to reformulate the GVRP as a set-partitioning model which prompts the development of a column generation approach. A specialized dynamic programming algorithm is proposed for solving the pricing subproblem. The performance of the proposed algorithm is significantly improved by enforcing a set of rounded capacity valid inequalities. Computational results show that the proposed algorithm compares favorably against the state-of-the-art exact algorithm for the GVRP and closes 8 out of 9 previously open GVRP instances in the literature. Essay Two investigates a variant of the Vehicle Routing-Allocation Problem that arises in the distribution of pallets of goods by a food bank to a network of relatively distant nonprofit organizations. Vehicles are routed to selected intermediate delivery sites to which the nonprofit organizations travel to collect their demand. The logistical cost is shared and the objective is to minimize a weighted average of the food bank vehicle routing cost and the travel cost of the nonprofit organizations. We develop an efficient multi-start heuristic that iteratively constructs initial solutions to this problem and subsequently explores their neighborhoods via local improvement and perturbation schemes. In our experience, the proposed heuristic substantially outperforms alternative optimization-based heuristics in the literature in terms of the solution quality and computational efficiency and consistently yields solutions with an optimality gap of 0.5% on average. Essay Three develops an effective branch-and-price algorithm for the aforementioned food bank vehicle routing problem. The pricing subproblem is solved, exactly or heuristically, using a specialized labeling type dynamic programming (DP) algorithm. The computational efficacy of this DP approach stems primarily from the inclusion of preprocessing routines that enhance the label extension scheme by iteratively eliminating dominated (partial) solutions. The proposed exact DP algorithm, and five proposed heuristic variants, significantly reduce the computational time associated with the solution of the pricing subproblem (as opposed to solving the latter as a mixed-integer model with CPLEX). The resulting speedup enables the implementation of a branch-and-price algorithm that greatly outperforms the use of CPLEX over a test-bed of 60 problem instances.
Kurf Mainzische Landes Regierung Da Man Bei Der Zeitherigen Behandlung Der Eintreibungen Der Wegen Abgeliefertem Naturale Und Geleisteten Vorspannen An Die Kaiserl K Nigl Und Sonstige Truppen Von Den Kurf Rstl Unterthanen Zu Machen Habenden Forderungen Sehr Viele M Ngel Und Unrichtigkeiten Entdeckt Aschaffenburg Am 22ten Februar 1796
DOWNLOAD
Author :
language : en
Publisher:
Release Date : 1796
Kurf Mainzische Landes Regierung Da Man Bei Der Zeitherigen Behandlung Der Eintreibungen Der Wegen Abgeliefertem Naturale Und Geleisteten Vorspannen An Die Kaiserl K Nigl Und Sonstige Truppen Von Den Kurf Rstl Unterthanen Zu Machen Habenden Forderungen Sehr Viele M Ngel Und Unrichtigkeiten Entdeckt Aschaffenburg Am 22ten Februar 1796 written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1796 with categories.
The Multi Level And Threshold Based Heuristics For The Vehicle Routing Problem With Time Windows
DOWNLOAD
Author : Adibah Shuib
language : en
Publisher:
Release Date : 2007
The Multi Level And Threshold Based Heuristics For The Vehicle Routing Problem With Time Windows written by Adibah Shuib and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with categories.
Decision Making In Service Industries
DOWNLOAD
Author : Javier Faulin
language : en
Publisher: CRC Press
Release Date : 2012-08-08
Decision Making In Service Industries written by Javier Faulin and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-08-08 with Business & Economics categories.
In real-life scenarios, service management involves complex decision-making processes usually affected by random or stochastic variables. Under such uncertain conditions, the development and use of robust and flexible strategies, algorithms, and methods can provide the quantitative information necessary to make better business decisions. Decision Making in Service Industries: A Practical Approach explores the challenges that must be faced to provide intelligent strategies for efficient management and decision making that will increase your organization’s competitiveness and profitability. The book provides insight and understanding into practical and methodological issues related to decision-making processes under uncertainty in service industries. It examines current and future trends regarding how these decision-making processes can be efficiently performed for better design of service systems by using probabilistic algorithms as well as hybrid and simulation-based approaches. Traditionally, many quantitative tools have been developed to make decisions in production companies. This book explores how to use these tools for making decisions inside service industries. Thus, the authors tackle strategic, tactical, and operational problems in service companies with the help of suitable quantitative models such as heuristic and metaheuristic algorithms, simulation, or queuing theory. Generally speaking, decision making is a hard task in business fields. Making the issue more complex, most service companies’ problems are related to the uncertainty of the service demand. This book sheds light on these types of decision problems. It provides studies that demonstrate the suitability of quantitative methods to make the right decisions. Consequently, this book presents the business analytics needed to make strategic decisions in service industries.
The Vehicle Routing Problem
DOWNLOAD
Author : Paolo Toth
language : en
Publisher:
Release Date : 2002
The Vehicle Routing Problem written by Paolo Toth and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Transportation problems (Programming) categories.
Optimization Of Vehicle Routing And Scheduling With Travel Time Variability Application In Winter Road Maintenance
DOWNLOAD
Author : Haifeng Yu
language : en
Publisher:
Release Date : 2014
Optimization Of Vehicle Routing And Scheduling With Travel Time Variability Application In Winter Road Maintenance written by Haifeng Yu and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with categories.
This study developed a mathematical model for optimizing vehicle routing and scheduling, which can be used to collect travel time information, and also to perform winter road maintenance operations (e.g., salting, plowing). The objective of this research was to minimize the total vehicle travel time to complete a given set of service tasks, subject to resource constraints (e.g., truck capacity, fleet size) and operational constraints (e.g., service time windows, service time limit). The nature of the problem is to design vehicle routes and schedules to perform the required service on predetermined road segments, which can be interpreted as an arc routing problem (ARP). By using a network transformation technique, an ARP can be transformed into a well-studied node routing problem (NRP). A set-partitioning (SP) approach was introduced to formulate the problem into an integer programming problem (I PP). To solve this problem, firstly, a number of feasible routes were generated, subject to resources and operational constraints. A genetic algorithm based heuristic was developed to improve the efficiency of generating feasible routes. Secondly, the corresponding travel time of each route was computed. Finally, the feasible routes were entered into the linear programming solver (CPL EX) to obtain final optimized results. The impact of travel time variability on vehicle routing and scheduling for transportation planning was also considered in this study. Usually in the concern of vehicle and pedestrian's safety, federal, state governments and local agencies are more leaning towards using a conservative approach with constant travel time for the planning of winter roadway maintenance than an aggressive approach, which means that they would rather have a redundancy of plow trucks than a shortage. The proposed model and solution algorithm were validated with an empirical case study of 41 snow sections in the northwest area of New Jersey. Comprehensive analysis based on a deterministic travel time setting and a time-dependent travel time setting were both performed. The results show that a model that includes time dependent travel time produces better results than travel time being underestimated and being overestimated in transportation planning. In addition, a scenario-based analysis suggests that the current NJDOT operation based on given snow sector design, service routes and fleet size can be improved by the proposed model that considers time dependent travel time and the geometry of the road network to optimize vehicle routing and scheduling. In general, the benefit of better routing and scheduling design for snow plowing could be reflected in smaller minimum required fleet size and shorter total vehicle travel time. The depot location and number of service routes also have an impact on the final optimized results. This suggests that managers should consider the depot location, vehicle fleet sizing and the routing design problem simultaneously at the planning stage to minimize the total cost for snow plowing operations.