Meta-Heuristic Algorithms in Supply Chain, Logistics and Transportation PDF Download

Author: Aidin Delgoshaei
Publisher: Wiley
ISBN: 9781119652243
Category : Computers
Languages : en
Pages : 500

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Book Description
This book shows how Meta-heuristic algorithms can be developed by using MATLAB for Supply Chain and Logistics problems. The book begins with an explanation of various problems in the field of supply chain, logistics and transportation. Then, optimization methods that are frequently used for the mentioned problems are explained and some problems are solved using these methods by Lingo and GAMS. The book continues by outlining reasons for using heuristics and metaheuristics for complicated problems in supply chain and logistics. This book helps readers understand each commonly used metaheuristic method, understand its elements quickly, as well as applications of it and how to code using MATLAB. This book will help graduate students as well as researchers understand which metaheuristic method can be used for their applications. This book will also help readers have a clear vision of choosing the appropriate algorithm for their problems by considering different elements like the number of operators, the number of agents, and convergence rate of the algorithm.

Author: Laurent Deroussi
Publisher: John Wiley & Sons
ISBN: 1119136598
Category : Computers
Languages : en
Pages : 222

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Book Description
This book describes the main classical combinatorial problems that can be encountered when designing a logistics network or driving a supply chain. It shows how these problems can be tackled by metaheuristics, both separately and using an integrated approach. A huge number of techniques, from the simplest to the most advanced ones, are given for helping the reader to implement efficient solutions that meet its needs. A lot of books have been written about metaheuristics (methods for solving hard optimization problems) and supply chain management (the field in which we find a huge number of combinatorial optimization problems) in the last decades. So, the main reason of this book is to describe how these methods can be implemented for this class of problems.

Author: Jiuping Xu
Publisher: Taylor & Francis
ISBN: 1003830730
Category : Business & Economics
Languages : en
Pages : 374

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Book Description
This book introduces and analyses recent trends and studies of sustainable logistics systems using AI-based meta-heuristics approaches, including AI-based meta-heuristics applied to supply chain network models, integrated multi-criteria decision-making approaches for green supply chain management, uncertain supply chain models etc. It emphasizes both theory and practice, providing methodological and theoretical basis as well as case references for sustainable logistics systems using AI based meta-heuristics. Most of multi-national enterprises today face the challenge of sustainable development for their logistics systems trying to meet or exceed customer expectations. Sustainable development attracts both researchers and industrial practitioners who are focused on the design and implementation of logistics system. AI-based meta-heuristics approaches has emerged as a capable method for quickly providing optimal or near-optimal solutions for the problems that exact optimization cannot solve. Recent advances in various AI-based meta-heuristics approaches can resolve various and complex logistics and supply chain problem types. This book mainly encompasses the most popular and frequently employed AI-based meta-heuristics approaches such as genetic algorithm, variable neighborhood search, multi-objective heuristic search and the hybrid of these approaches. The chapters in this book were originally published in the International Journal of Management Science and Engineering Management.

Author: S. P. Anbuudayasankar
Publisher: Springer
ISBN: 3319050354
Category : Business & Economics
Languages : en
Pages : 172

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Book Description
This book deals with complex variants of Travelling Salesman Problem (TSP) and Vehicle Routing Problem (VRP) within the manufacturing and service industries. The objective is to develop heuristics for these supply chain problems in order to offer practical solutions to improve operational efficiency. These heuristics are evaluated using benchmark and derived data-sets. Case studies pertaining to logistics in different industries including textile machinery manufacturing and banking are also included to demonstrate the created heuristics. High competition in today’s global market has forced the organizations to invest in and focus on their logistics system. The critical function of logistics is the transportation within and across various supply chain entities. Both supply and distribution procedure require effective transportation management. A small improvement in routing problems can lead to huge logistics savings in absolute terms. This book should appeal to executives, researchers and consultants seeking supply chain management solutions.

Author: Chaitanya Kaul
Publisher:
ISBN:
Category :
Languages : en
Pages :

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Book Description
The last mile logistics refers to the last leg of delivery in a supply-chain transportation network. More transporters and delivery runs are required to fulfil this demand and hence make the last-mile logistic a highly inefficient and time-consuming segment of a supply chain. In this thesis, the formulation of the last mile logistics problem has been presented as an optimization problem and is solved by a modified meta-heuristic algorithm and an agent-based simulation technique. For the last-mile logistics problem, the widely studied vehicle routing problem with time windows transportation model was considered, as it abstracts the salient features of numerous logistics and transportation related real-world problems. The ant colony metaheuristic was then modified to find global minimum in case of the last mile problem. In this work, the last mile logistics problem was then also solved as an agent-based simulation model. Due to its efficient behavioral and communicative patterns, the agent-based systems provide a powerful alternative to traditional optimization techniques. In this work, we present a formulation of the last mile logistics problem as an ant colony metaheuristic and as a multi-agent optimization model. The modified ant colony algorithm was experimented on test problems and data, and successful results were obtained. A detailed experimental assessment of the agent based simulation model and our modified ant colony metaheuristic is presented, including the comparison to the traditional centralized algorithms. A detailed analysis of the solution approach is performed as well, generating future research opportunities. The outcomes of this thesis demonstrate that the methodologies return the best-known solutions accomplished by the state-of-the-art algorithms in most of our experimental cases, representing a significant improvement over the previous comparable agent based or metaheuristic studies. The core commitment of this thesis is the more profound and novel understanding of the implications of embracing agent-based and a heuristic approach to solve the last mile network problems and complex transportation-optimization problems.

Author: El-Ghazali Talbi
Publisher: Springer
ISBN: 3319233505
Category : Business & Economics
Languages : en
Pages : 370

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Book Description
This book discusses the main techniques and newest trends to manage and optimize the production and service systems. The book begins by examining the three main levels of decision systems in production: the long term (strategic), the middle term (tactical) and short term (operational). It also considers online management as a new level (a sub level of the short term). As each level encounters specific problems, appropriate approaches to deal with these are introduced and explained. These problems include the line design, the line balancing optimization, the physical layout of the production or service system, the forecasting optimization, the inventory management, the scheduling etc. Metaheuristics for Production Systems then explores logistic optimization from two different perspectives: internal (production management), addressing issues of scheduling, layout and line designs, and external (supply chain management) focusing on transportation optimization, supply chain evaluation, and location of production. The book also looks at NP-hard problems that are common in production management. These complex configurations may mean that optimal solutions may not be reached due to variables, but the authors help provide a good solution for such problems. The effective new results and solutions offered in this book should appeal to researchers, managers, and engineers in the production and service industries.

Author: Vasant, Pandian M.
Publisher: IGI Global
ISBN: 1466620870
Category : Computers
Languages : en
Pages : 735

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Book Description
Optimization techniques have developed into a significant area concerning industrial, economics, business, and financial systems. With the development of engineering and financial systems, modern optimization has played an important role in service-centered operations and as such has attracted more attention to this field. Meta-heuristic hybrid optimization is a newly development mathematical framework based optimization technique. Designed by logicians, engineers, analysts, and many more, this technique aims to study the complexity of algorithms and problems. Meta-Heuristics Optimization Algorithms in Engineering, Business, Economics, and Finance explores the emerging study of meta-heuristics optimization algorithms and methods and their role in innovated real world practical applications. This book is a collection of research on the areas of meta-heuristics optimization algorithms in engineering, business, economics, and finance and aims to be a comprehensive reference for decision makers, managers, engineers, researchers, scientists, financiers, and economists as well as industrialists.

Author: Management Association, Information Resources
Publisher: IGI Global
ISBN: 1799809463
Category : Business & Economics
Languages : en
Pages : 2148

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Book Description
Business practices are constantly evolving in order to meet growing customer demands. Evaluating the role of logistics and supply chain management skills or applications is necessary for the success of any organization or business. As market competition becomes more aggressive, it is crucial to evaluate ways in which a business can maintain a strategic edge over competitors. Supply Chain and Logistics Management: Concepts, Methodologies, Tools, and Applications is a vital reference source that centers on the effective management of risk factors and the implementation of the latest supply management strategies. It also explores the field of digital supply chain optimization and business transformation. Highlighting a range of topics such as inventory management, competitive advantage, and transport management, this multi-volume book is ideally designed for business managers, supply chain managers, business professionals, academicians, researchers, and upper-level students in the field of supply chain management, operations management, logistics, and operations research.

Author: Didem Cinar
Publisher: Springer
ISBN: 3319692151
Category : Mathematics
Languages : en
Pages : 267

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Book Description
Focused on the logistics and transportation operations within a supply chain, this book brings together the latest models, algorithms, and optimization possibilities. Logistics and transportation problems are examined within a sustainability perspective to offer a comprehensive assessment of environmental, social, ethical, and economic performance measures. Featured models, techniques, and algorithms may be used to construct policies on alternative transportation modes and technologies, green logistics, and incentives by the incorporation of environmental, economic, and social measures. Researchers, professionals, and graduate students in urban regional planning, logistics, transport systems, optimization, supply chain management, business administration, information science, mathematics, and industrial and systems engineering will find the real life and interdisciplinary issues presented in this book informative and useful.

Author: Imadeddine Aziez
Publisher:
ISBN:
Category :
Languages : en
Pages : 0

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Book Description
In today's challenging and competitive global business environment, supply chains have become more complex and sensitive due to their dependence on constantly changing customer demands. Creating value for customers does not always refer to the quality or quantity of the product, it also refers to the availability of the product on time at the requested location. Leveraging a supply chain to provide high value to customers cannot be possible without effectively organized transportation. A better delivery service increases the availability of products to fulfill the demand of customers. Therefore, business practitioners consider it a very important factor in creating value for customers. Transportation is one of the key components in the entire supply chain, it has a critical role in maintaining a robust and resilient supply chain. Moreover, an efficient transportation network helps businesses to reduce operating costs, increase service levels, and gain a clear advantage over the competition. This increases research interest focused on transportation operations management. Throughout this research, we are interested in pickup and delivery problems (PDPs) which are a generalization of the classical vehicle routing problem (VRP). In general, the PDPs involve designing minimum-cost routes for a set of vehicles to satisfy all the pickup-delivery requests. Pairing and precedence relations of pickup and delivery locations must be respected. Variants of PDPs are found by adding side constraints such as time windows, vehicle capacity, etc. This class of optimization problems has applications in several real-life contexts, such as door-to-door passenger transportation, urban courier services, maritime shipping and freight transportation. PDPs have been widely addressed in the literature. However, modern delivery networks with more and more complex operations and special characteristics make conventional methods limited and/or inefficient. Hence, developing new innovative solution methods to tackle the new challenges of the transportation industry is crucial. In this research project, we tackle real-life PDPs arising from different contexts, such as last mile delivery and healthcare services. First, we study a new rich PDP in the context of last mile delivery known as the multi-pickup and delivery problem with time windows (MPDPTW). This problem finds many real-life applications, some of them are in the context of shared economy such as UBER EAT services, where a client is allowed to order food from different restaurants; the company must then perform all pickups at different places, before delivering all meals to the client location. We designed a new branch-and-cut algorithm for the MPDPTW providing the first dual bounds for the problem and obtaining tight solutions for large instances. In this work, two new formulations for the problem are introduced, a two-index formulation and the asymmetric representatives formulation (ARF). A transformation of the MPDPTW into a PDPTW is also proposed and tested. The mathematical formulations are then compared to define the best one for the problem. The second problem tackled in this research project is a PDP-related application in the context of healthcare logistics. Transportation activities in hospitals are now becoming more complex due to the wide variety of supplies and equipment used such as disposable items which are being used more frequently. This results in the expansion of the volume of transportation in hospitals. These factors justify the need for more efficiency and productivity of transportation systems in hospitals in order to meet the service level expected by patients without increasing costs. One of the most powerful ways of achieving these goals is the automation of logistics processes by using automated guided vehicles. We study the fleet sizing and routing problem with synchronization of automated guided vehicles with dynamic demands in the context of a real-life application with an industrial partner from the healthcare industry in Quebec City, Canada. We describe the problem, introduce a mathematical formulation for it, and propose a powerful matheuristic to solve it. Computational experiments are conducted on large and small instances generated based on real-data provided by our industrial partner. The third problem studied in this project is another application, this time in the context of ready-mixed concrete (RMC) delivery. Many challenging operational problems are faced by RMC suppliers such as scheduling production operations at production plants, creating daily and weekly drivers' schedules, loading operations scheduling, and delivering concrete to construction sites. In a business environment characterized by a fierce competition, innovative solutions are needed to tackle these problems in order to achieve operational efficiency and guarantee a competitive advantage. Although optimizing concrete delivery operations is essential for concrete companies, drivers' and customers' satisfaction should not be neglected. We study the personnel scheduling problem for RMC delivery in the context of a real-life application with a concrete company in Quebec, Canada. The goal is to help RMC suppliers build cost-effective and consistent (similar starting times over the week) drivers' schedules over a large planning horizon, under tight operational and regulatory constraints. The PSP-RMC embeds a PDP which is solved to create routes for drivers. We describe the problem and propose a two-stage metaheuristic algorithm to solve it. Computational experiments are conducted on artificial instances, and on instances generated based on real-data provided by our industrial partner. This thesis is structured as follows. A literature review on the pickup and delivery problems is presented after an introductory chapter. Chapter 2 is devoted to the multi-pickup and delivery problem with time windows, and Chapter 3 presents the fleet sizing and routing problem with synchronization of automated guided vehicles with dynamic demands. Chapter 4 presents the personnel scheduling problem for ready-mixed concrete delivery. The conclusion follows and summarizes the main contributions of this thesis in the last Chapter.