Book Description
Introduction and basic building blocks. Adding costs to two echelon supply chains. Advanced modeling and expanding to multiple echelons. How to get industrial streng results. Case study wrap up.
Author : Michael Watson
Publisher : Pearson Education
Page : 320 pages
File Size : 42,55 MB
Release : 2013
Category : Business & Economics
ISBN : 0133017370
Introduction and basic building blocks. Adding costs to two echelon supply chains. Advanced modeling and expanding to multiple echelons. How to get industrial streng results. Case study wrap up.
Author : Subramanian Pazhani
Publisher : CRC Press
Page : 71 pages
File Size : 29,60 MB
Release : 2021-04-30
Category : Technology & Engineering
ISBN : 1000359956
Closed Loop Supply Chains and its management have become mandatory for firms to stay competitive and profitable. This book provides insights for designing supply chain networks by understanding and incorporating key return parameters into the network design, which will affect profitability. The book discusses how customer categories and their acceptance behavior is incorporated into the network design. It will also show how to analyze the interaction of parameters on supply chain network design and profitability, offers modeling framework for incorporating uncertainties in the return product parameters, and how to design a robust network. Invaluable for managers in designing a sustainable, robust, and profitable supply chain network and ideal for managers, practitioners, and researchers in the area of supply chain network design and optimization.
Author : Minis, Ioannis
Publisher : IGI Global
Page : 337 pages
File Size : 35,73 MB
Release : 2010-12-31
Category : Business & Economics
ISBN : 1615206345
Computational Intelligence (CI) is a term corresponding to a new generation of algorithmic methodologies in artificial intelligence, which combines elements of learning, adaptation, evolution and approximate (fuzzy) reasoning to create programs that can be considered intelligent. Supply Chain Optimization, Design, and Management: Advances and Intelligent Methods presents computational intelligence methods for addressing supply chain issues. Emphasis is given to techniques that provide effective solutions to complex supply chain problems and exhibit superior performance to other methods of operations research.
Author : William R. Killingsworth
Publisher : Business Expert Press
Page : 261 pages
File Size : 37,19 MB
Release : 2011-06-23
Category : Business & Economics
ISBN : 1606492527
Intended for an audience of graduate students, executive MBA students, and mid-to upper level government and corporate managers, Design, Analysis and Optimization of Supply Chains: A System Dynamic Approach examines the complexity of the types of organizations that comprise a modern supply chain, the problems that arise as a result of this complexity, and the solutions and analytical approaches available to managers that can help resolve these real world problems and dilemmas. The modern enterprise, be it a large corporation or a government agency, has two key dimensions of complexity: static and dynamic. The static complexity refers to the remarkable number of companies and agencies that enable delivery of the product or service. A static "snapshot" of this end-to-end enterprise would reveal hundreds if not thousands of companies involved in the supply network and many additional firms involved in the distribution and delivery to customers. Planning, communication, coordination and execution of this large system network is fundamentally challenging just because of the sheer size. This large, extended network represents the static complexity. The dynamic complexity arises from the difficulty of managing the performance of this extended enterprise over time. This requires having the appropriate metrics to track performance over time, the management skills to develop strategies, the ability to collect and monitor the correct data for true visibility, and the recognition and understanding of the long lags between actions and results. Design, Analysis and Optimization of Supply Chains: A System Dynamic Approach incorporates real-world examples and cases, representing actual complex enterprise systems including firms involved and with long lead times, to illustrate the multi-faceted activities occurring within a modern supply chain and the challenges they pose to managers. Simulation and optimization techniques are introduced and used to develop strategies for improved performance.
Author : Joseph Geunes
Publisher : Springer Science & Business Media
Page : 418 pages
File Size : 42,50 MB
Release : 2006-03-30
Category : Business & Economics
ISBN : 0387262814
Supply Chain Optimization captures the latest results in a segment of current research activity in supply chain management. This research area focuses on applying optimization techniques to supply chain management problems. The research papers that make up the volume provide a snapshot of state-of-the-art optimization methods within the field. This book presents rigorous modelling approaches for supply chain operations problems with a goal of improving supply chain performance (or the performance of some segment thereof). It contains high-quality works from leading researchers in the field whose expertise fits within this scope. The book provides a diverse blend of research topics and novel modelling and solution approaches for difficult classes of supply chain operations, planning, and design problems.
Author : Ciro D'Apice
Publisher : SIAM
Page : 209 pages
File Size : 49,44 MB
Release : 2010-07-01
Category : Mathematics
ISBN : 0898717000
This book offers a state-of-the-art introduction to the mathematical theory of supply chain networks, focusing on those described by partial differential equations. The authors discuss modeling of complex supply networks as well as their mathematical theory, explore modeling, simulation, and optimization of some of the discussed models, and present analytical and numerical results on optimization problems. Real-world examples are given to demonstrate the applicability of the presented approaches. Graduate students and researchers who are interested in the theory of supply chain networks described by partial differential equations will find this book useful. It can also be used in advanced graduate-level courses on modeling of physical phenomena as well as introductory courses on supply chain theory.
Author : Wang, John
Publisher : IGI Global
Page : 418 pages
File Size : 20,16 MB
Release : 2010-11-30
Category : Business & Economics
ISBN : 1609601378
Our rapidly changing world has forced business practitioners, in corporation with academic researchers, to respond quickly and develop effective solution methodologies and techniques to handle new challenges in supply chain systems. Supply Chain Optimization, Management and Integration: Emerging Applications presents readers with a rich collection of ideas from researchers who are bridging the gap between the latest in information technology and supply chain management. This book includes theoretical, analytical, and empirical research, comprehensive reviews of relevant research, and case studies of effective applications in the field of SCM. The use of new technologies, methods, and techniques are emphasized by those who have worked with supply chain management across the world for those in the field of information systems.
Author : Urs B. Meyer
Publisher : CRC Press
Page : 536 pages
File Size : 46,45 MB
Release : 2006-09-18
Category : Business & Economics
ISBN : 142000767X
In modern manufacturing, it is not simply the equipment that is increasingly complex but rather the entire business system in which a company operates. Convoluted supply chains, complicated resource flows, advanced information systems: all must be taken into account when designing or reengineering a manufacturing system. Introducing a powerful yet
Author : Yingxue Zhao
Publisher : Springer
Page : 197 pages
File Size : 42,59 MB
Release : 2015-09-12
Category : Business & Economics
ISBN : 1489976337
This book is devoted to analysis and design of supply chain contracts with stochastic demand. Given the extensive utilization of contracts in supply chains, the issues concerning contract analysis and design are extremely important for supply chain management (SCM), and substantial research has been developed to address those issues over the past years. Despite the abundance of classical research, new research needs to be conducted in response to new issues emerging with the recent changing business environments, such as the fast-shortening life cycle of product and the increasing globalization of supply chains. This book addresses these issues, with the intention to present new research on how to apply contracts to improve SCM. Contract Analysis and Design for Supply Chains with Stochastic Demand contains eight chapters and each chapter is summarized as follows: Chapter 1 provides a comprehensive review of the classical development of supply chain contracts. Chapter 2 examines the effects of demand uncertainty on the applicability of buyback contracts. Chapter 3 conducts a mean-risk analysis for wholesale price contracts, taking into account contracting value risk and risk preferences. Chapter 4 studies the optimization of product service system by franchise fee contracts in the service-oriented manufacturing supply chain with demand information asymmetry. Chapter 5 develops a bidirectional option contract model and explores the optimal contracting decisions and supply chain coordination issue with the bidirectional option. Chapter 6 addresses supply chain options pricing issue and a value-based pricing scheme is developed for the supply chain options. With a cooperative game theory approach, Chapter 7 explores the issues concerning supply chain contract selection/implementation with the option contract under consideration. Chapter 8 concludes the book and suggests worthy directions for future research.
Author : Paolo Renna
Publisher : MDPI
Page : 96 pages
File Size : 43,59 MB
Release : 2021-01-27
Category : Technology & Engineering
ISBN : 3039439618
This book is dedicated to the latest findings on the design and optimization of production lines. The “Fourth Industrial Revolution” (alternatively known as “Industry 4.0”) supports innovative models for energy consumption and fault tolerance in automated lines, and this drives changes in the design and optimization models of production lines. The goal is to collect a series of works that can summarize the latest trends in the field of production line optimization models in order to improve the responsiveness of automated lines to failures, reduce energy consumption and peak electricity demand, and develop other methods to support robust and sustainable production lines.