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Author: Nicholas Peter Anderson Publisher: ISBN: Category : Languages : en Pages : 326
Book Description
This research will illustrate how a variety of criterion models can be interfaced with simulation models of logistics systems and the effect these different criterion models have on an optimal solution. The research will also investigate determining the best type of criterion model to use for a particular situation. Additionally, the research will include the programming and implementation of variance reduction techniques such as common random numbers and antithetic variates. The use of variance reduction techniques in combination with optimization methodologies does not seem to have been adequately addressed by commercial software packages.
Author: Nicholas Peter Anderson Publisher: ISBN: Category : Languages : en Pages : 326
Book Description
This research will illustrate how a variety of criterion models can be interfaced with simulation models of logistics systems and the effect these different criterion models have on an optimal solution. The research will also investigate determining the best type of criterion model to use for a particular situation. Additionally, the research will include the programming and implementation of variance reduction techniques such as common random numbers and antithetic variates. The use of variance reduction techniques in combination with optimization methodologies does not seem to have been adequately addressed by commercial software packages.
Author: Andre Langevin Publisher: Springer Science & Business Media ISBN: 9780387249711 Category : Business & Economics Languages : en Pages : 416
Book Description
In a context of global competition, the optimization of logistics systems is inescapable. Logistics Systems: Design and Optimization falls within this perspective and presents twelve chapters that well illustrate the variety and the complexity of logistics activities. Each chapter is written by recognized researchers who have been commissioned to survey a specific topic or emerging area of logistics. The first chapter, by Riopel, Langevin, and Campbell, develops a framework for the entire book. It classifies logistics decisions and highlights the relevant linkages to logistics decisions. The intricacy of these linkages demonstrates how thoroughly the decisions are interrelated and underscores the complexity of managing logistics activities. Each of the chapters focus on quantitative methods for the design and optimization of logistics systems.
Author: Wanpracha Chaovalitwongse Publisher: Springer Science & Business Media ISBN: 0387886176 Category : Mathematics Languages : en Pages : 434
Book Description
In a world with highly competitive markets and economic instability due to capitalization, industrial competition has increasingly intensified. In order for many industries to survive and succeed, they need to develop highly effective coordination between supply chain partners, dynamic collaborative and strategic alliance relationships, and efficient logistics and supply chain network designs. Consequently, in the past decade, there has been an explosion of interest among academic researchers and industrial practitioners in innovative supply chain and logistics models, algorithms, and coordination policies. Mathematically distinct from classical supply chain management, this emerging research area has been proven to be useful and applicable to a wide variety of industries. This book brings together recent advances in supply chain and logistics research and computational optimization that apply to a collaborative environment in the enterprise.
Author: Paulina Golinska Publisher: Springer ISBN: 3319072870 Category : Technology & Engineering Languages : en Pages : 604
Book Description
The aim of this book is to present qualitative and qualitative aspects of logistics operations and supply chain management which help to implement the sustainable policy principles in the companies and public sector’s institutions. Authors in individual chapters address the issues related to reverse network configuration, forward and reverse supply chain integration, CO2 reduction in transportation, improvement of the production operations and management of the recovery activities. Some best practices from different countries and industries are presented. This book will be valuable to both academics and practitioners wishing to deepen their knowledge in the field of logistics operations and management with regard to sustainability issues.
Author: Turkay Yildiz Publisher: ISBN: 9780359374137 Category : Business & Economics Languages : en Pages : 378
Book Description
This book is the collection of my own studies in the optimization of logistics and supply chain systems, targeted to a broad readership. In this book, first few chapters of the optimization concepts come out of the materials I used to refer while doing my research. I brought together some of these materials to form a guidance material on the fundamentals of the optimization concepts along with my own studies in the application of optimization methods. For a macro level logistics and supply chain systems optimization perspective, I added several chapters that are the results of my studies, which use the Global Trade Analysis Project (GTAP and GDyn) simulations. The static and dynamic computable general equilibrium (CGE) concept is also the essential part of the optimization study of logistics and supply chain systems. Therefore, the fundamentals of the static and dynamic (CGE) models are introduced. As the demand for logistics depends mostly on the volume of trade and trade patterns, international trade affects the transport and logistics, as it might generate a higher or lower demand for transport and logistics services, which are calculated by various approaches of optimization studies. This book consists of six parts and twenty chapters. The first part of the book, which includes three chapters, is about introduction to optimization with typical base problems and algorithms for solving these problems. The second part of this book includes five my own researches in the application of optimization methods. The third part of the book shortly introduces you to the general concepts of the computable general equilibrium models (CGE) and presents you the fundamentals of a CGE model. In each chapter of the fourth part, short articles that include five simulations based on various scenarios are presented. The fifth part of the book briefly introduces you to the basic concepts of the computable general equilibrium models (CGE) and then, presents you the fundamentals of dynamic general equilibrium models. In each chapter of the sixth part, two short articles that simulate various scenarios are presented. All the chapters in this book are independent of each other. I hope you will find this book informative, beneficial and appropriate for your needs.
Author: Charu Chandra Publisher: Springer ISBN: 1493935577 Category : Technology & Engineering Languages : en Pages : 310
Book Description
This book discusses the models and tools available for solving configuration problems, emphasizes the value of model integration to obtain comprehensive and robust configuration decisions, proposes solutions for supply chain configuration in the presence of stochastic and dynamic factors, and illustrates application of the techniques discussed in applied studies. It is divided into four parts, which are devoted to defining the supply chain configuration problem and identifying key issues, describing solutions to various problems identified, proposing technologies for enabling supply chain confirmations, and discussing applied supply chain configuration problems.Its distinguishing features are: an explicit focus on the configuration problem an in-depth coverage of configuration models an emphasis on model integration and application of information modeling techniques in decision-making New to this edition is Part II: Technologies, which introduces readers to various technologies being utilized for supply chain configuration and contains two new chapters. The volume also has an added emphasis on the most recent theoretical developments and empirical findings in the area of supply chain management and related topics. This book is appropriate for professional and technical readers, including research directors, research associates, and institutions involved in both the design and implementation of logistics systems in manufacturing and service-related products. An equally appropriate audience is the academic reader, including professors, research associates, and students in industrial, manufacturing, mechanical, and automotive engineering departments, as well as engineering management, management sciences, and production and operations management.
Author: Jiuping Xu Publisher: Taylor & Francis ISBN: 1003830692 Category : Business & Economics Languages : en Pages : 186
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: Nicholas Peter Anderson
Author: Nicholas Peter Anderson
Author: 
Author: Andre Langevin
Author: 
Author: Wanpracha Chaovalitwongse
Author: Paulina Golinska
Author: 
Author: Turkay Yildiz
Author: Charu Chandra
Author: Jiuping Xu