Modeling, Simulation, and Optimization of Supply Chains


Book Description

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.




Modeling, Simulation, and Optimization of Supply Chains


Book Description

This title is an up-to-date introduction to the mathematical theory of supply chains, which focuses on those supply chain networks which are described by partial differential equations. The book discusses modeling of complex supply networks as well as their mathematical theory. In addition, the authors investigate the optimization of some of the discussed models and present the analytical and numerical results on optimization problems. Practical examples demonstrate the applicability of the presented approaches. The book provides an introduction to the topic and also explores the more advanced theoretical and numerical background. Graduate students and researchers, who wish to stay abreast of the latest developments in this field, will be interested in this book; it may be used to teach advanced courses on modeling of physical phenomena as well as introductory courses on supply chain theory.




Supply Chain Simulation


Book Description

Supply Chain Simulation allows readers to practice modeling and simulating a multi-level supply chain. The chapters are a combination of the practical and the theoretical, covering: knowledge of simulation methods and techniques, the conceptual framework of a typical supply chain, the main concepts of system dynamics, and a set of practice problems with their corresponding solutions. The problem set includes illustrations and graphs relating to the simulation results of the Vensim® program, the main code of which is also provided. The examples used are a valuable simulation tool that can be modified and extended according to user requirements. The objective of Supply Chain Simulation is to meet the demands of supply chain simulation or similar courses taught at the postgraduate level. The “what if” analysis recreates different simulation scenarios to improve the decision-making process in terms of supply chain performance, making the book useful not only for postgraduate students, but also for industrial practitioners.




Modeling of Responsive Supply Chain


Book Description

A guide to help readers meet the demands of an evolving competitive business environment, Modeling of Responsive Supply Chain outlines novel concepts and strategies for implementing a fully integrated system of business improvement methodologies.This self-contained reference covers various key aspects of supply chain management, which is crucial to




Modeling and Optimization of Biomass Supply Chains


Book Description

Modeling and Optimization of Biomass Supply Chains: Top Down and Bottom Up Assessment for Agricultural, Forest and Waste Feedstock provides scientific evidence for assessing biomass supply and logistics, placing emphasis on methods, modeling capacities, large data collection, processing and storage. The information presented builds on recent relevant research work from the Biomass Futures, Biomass Policies and S2Biom projects. In addition to technical issues, the book covers the economic, social and environmental aspects with direct implications on biomass availability. Its chapters offer an overview of methodologies for assessing and modeling supply, biomass quality and requirements for different conversion processes, logistics and demand for biobased sectors. Case studies from the projects that inspire the book present practical examples of the implementation of these methodologies. The authors also compare methodologies for different regions, including Europe and the U.S. Biomass feedstock-specific chapters address the relevant elements for forest, agriculture, biowastes, post-consumer wood and non-food crops. Engineers in the bioenergy sector, as well as researchers and graduate students will find this book to be a very useful resource when working on optimization and modeling of biomass supply chains. For energy policymakers, analysts and consultants, the book provides consistent and technically sound projections for policy and market development decisions. - Provides consistent ratios and indicators for assessing biomass supply and its logistical component - Explores assumptions behind the assessment of different types of biomass, including key technical and non-technical factors - Presents the existing modeling platforms, their input requirements and possible output projections




Modeling, Simulation, and Optimization


Book Description

This book features selected contributions in the areas of modeling, simulation, and optimization. The contributors discusses requirements in problem solving for modeling, simulation, and optimization. Modeling, simulation, and optimization have increased in demand in exponential ways and how potential solutions might be reached. They describe how new technologies in computing and engineering have reduced the dimension of data coverage worldwide, and how recent inventions in information and communication technology (ICT) have inched towards reducing the gaps and coverage of domains globally. The chapters cover how the digging of information in a large data and soft-computing techniques have contributed to a strength in prediction and analysis, for decision making in computer science, technology, management, social computing, green computing, and telecom. The book provides an insightful reference to the researchers in the fields of engineering and computer science. Researchers, academics, and professionals will benefit from this volume. Features selected expanded papers in modeling, simulation, and optimization from COMPSE 2016; Includes research into soft computing and its application in engineering and technology; Presents contributions from global experts in academia and industry in modeling, simulation, and optimization.




Simulation for Supply Chain Management


Book Description

This book provides a detailed insight into the simulation approaches employed in the study of supply chain management and control. It begins by examining the types of simulation models (continuous simulation, discrete-event systems and simulation games) before moving on to the distribution levels of systems and models. It concludes with a thorough discussion of simulation products. Simulation methodologies and techniques are also covered throughout the text and case studies are included to highlight the pivotal role played by simulation in the decision-making processes of those working in this field.




Towards Supply Chain Risk Analytics


Book Description

In this thesis, Iris Heckmann develops a profound conceptual basis of supply chain risk analytics. She transfers the newly defined concepts for the modelling and operationalization of supply chain risk within simulation and optimization approaches, in order to ease unexpected deviations and disruptions, which are subsumed under the notion of supply chain risk, increasingly aggravating the planning and optimization of supply chains.




Modeling the Supply Chain


Book Description

With an emphasis on modeling techniques, Jeremy Shapiro's MODELING THE SUPPLY CHAIN is the perfect tool for courses in supply chain management or for professional managers who seek better analytical tools for managing their supply chains, information technologists who are responsible for developing and/or maintaining such tools, and consultants who conduct supply chain studies using models. Shapiro examines in detail the roles of data, models, and modeling systems in helping companies improve the management of their supply chains. The focus is on optimization models based on linear and mixed integer programming. The complementary role played by descriptive models in developing data inputs for optimization models is thoroughly reviewed. Using numerous applications, Shapiro clearly illustrates that when properly implemented, these methodologies can create accurate and comprehensive models of great practical value. The book also shows how competitive advantage in supply chain management can be most fully realized by developing and applying optimization modeling systems.




Geometric Modelling, Numerical Simulation, and Optimization:


Book Description

This edited volume addresses the importance of mathematics for industry and society by presenting highlights from contract research at the Department of Applied Mathematics at SINTEF, the largest independent research organization in Scandinavia. Examples range from computer-aided geometric design, via general purpose computing on graphics cards, to reservoir simulation for enhanced oil recovery. Contributions are written in a tutorial style.