Analysis and Algorithms for Service Parts Supply Chains, John A. Muckstadt
Автор: Asmussen Название: Stochastic Simulation: Algorithms and Analysis ISBN: 038730679X ISBN-13(EAN): 9780387306797 Издательство: Springer Рейтинг: Цена: 6981.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Sampling-based computational methods have become a fundamental part of the numerical toolset of practitioners and researchers across an enormous number of different applied domains and academic disciplines. This book provides a broad treatment of such sampling-based methods , as well as accompanying mathematical analysis of the convergence properties of the methods discussed . The reach of the ideas is illustrated by discussing a wide range of applications and the models that have found wide usage. The first half of the book focusses on general methods, whereas the second half discusses model-specific algorithms. Given the wide range of examples, exercises and applications students, practitioners and researchers in probability, statistics, operations research, economics, finance, engineering as well as biology and chemistry and physics will find the book of value. Soren Asmussen is Professor of Applied Probability at Aarhus University, Denmark and Peter Glynn is Thomas Ford Professor of Engineering at Stanford University.
Автор: Tsan-Ming Choi; Chun-Hung Chiu Название: Risk Analysis in Stochastic Supply Chains ISBN: 1489993908 ISBN-13(EAN): 9781489993908 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The crucial role played by risk analysis in stochastic supply chain models is demonstrated by the quickening pace of research on the topic. This monograph explores promising recent work on applying mean-risk methodology to dilemmas in supply-chain management.
Автор: Yingxue Zhao; Xiaoge Meng; Shouyang Wang; T. C. Ed Название: Contract Analysis and Design for Supply Chains with Stochastic Demand ISBN: 1489978518 ISBN-13(EAN): 9781489978516 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Introduction.- Buyback Contracts with Price-dependent Demands: Effects of Demand Uncertainty.- Mean-Risk Analysis of Wholesale Price Contracts with Stochastic Price-dependent Demand.- Franchise Fee Contracts in Product Service System with Demand Information Asymmetry.- Coordination of Supply Chains with Bidirectional Option Contracts.- A Value-based Approach to Option Pricing: The Case of Supply Chain Options.- Selection of Supply Chain Contracts: The Case of Option Contracts.- Conclusions and Future Research Directions.
Автор: Boris I. Goldengorin; Valery A. Kalyagin; Panos M. Название: Models, Algorithms, and Technologies for Network Analysis ISBN: 1461485878 ISBN-13(EAN): 9781461485872 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
This volume contains two types of papers--a selection of contributions from the "Second International Conference in Network Analysis" held in Nizhny Novgorod on May 7-9, 2012, and papers submitted to an "open call for papers" reflecting the activities of LATNA at the Higher School for Economics.
This volume contains many new results in modeling and powerful algorithmic solutions applied to problems in
- vehicle routing - single machine scheduling - modern financial markets - cell formation in group technology - brain activities of left- and right-handers - speeding up algorithms for the maximum clique problem - analysis and applications of different measures in clustering
The broad range of applications that can be described and analyzed by means of a network brings together researchers, practitioners, and other scientific communities from numerous fields such as Operations Research, Computer Science, Transportation, Energy, Social Sciences, and more. The contributions not only come from different fields, but also cover a broad range of topics relevant to the theory and practice of network analysis. Researchers, students, and engineers from various disciplines will benefit from the state-of-the-art in models, algorithms, technologies, and techniques presented.
Описание: It may also serve as an excellent self-study reference for electrical engineers and applied mathematicians whose work is related to the fields of electronics, signal processing, image and speech processing, or digital design and communication.
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