
Quantitative Models for Supply Chain Management by Sridhar Tayur
The chapters in this category focus on introducing basic concepts, providing mathematical background and validating algorithmic tools to solve operational problems in supply chains. The chapters in this category explicitly model the effect of information on decision-making and on supply chain performance.-
Designing Competitive Electricity Markets
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Principles of Forecasting
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Optimal Search for Moving Targets
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An Introduction to Robust Combinatorial Optimization
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Handbook of Markov Decision Processes
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Computational Probability
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Handbook of Stochastic Models and Analysis of Manufacturing System Operations
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Modeling Uncertainty
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Analysis and Modeling of Manufacturing Systems
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Military Operations Research
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Stochastic Benchmarking
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Constraint-Based Scheduling
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Health Care Benchmarking and Performance Evaluation
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Elicitation
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Linear Programming
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Linear and Nonlinear Programming
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Markovian Demand Inventory Models
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Building Supply Chain Excellence in Emerging Economies
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Evaluation and Decision Models
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Mathematical Programming and Financial Objectives for Scheduling Projects
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Judgment in Predictive Analytics
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Fundamentals of Traffic Simulation
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Benchmarking with DEA, SFA, and R
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Outline of Complex Systems Management Theory— Based on Irreversibility of Reductionism Thinking
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Handbook of Semidefinite Programming
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Quantitative Risk Analysis of Air Pollution Health Effects
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Robust Optimization in Electric Energy Systems
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Making Better Decisions
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The Theory and Practice of Revenue Management
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Multicriteria Decision Making
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Optimal Inventory Modeling of Systems
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Queueing Networks
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Handbook on Data Envelopment Analysis
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Process Optimization
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Spare Parts Inventory Control under System Availability Constraints
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Applied Linear Regression for Business Analytics with R
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Economics of Power Systems
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Handbook of Quantitative Supply Chain Analysis
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Multicriterion Decision in Management
Tinglong Dai, PhD, is Associate Professor of Operations Management and Business Analytics at Johns Hopkins University. A recipient of numerous awards, including Johns Hopkins Discovery Award, Institute for Operations Research and the Management Sciences (INFORMS) Public Sector Operations Research Best Paper Award and Production and Operations Management Society (POMS) Best Healthcare Paper Award, his research spans across healthcare analytics, marketing/operations interfaces, and artificial intelligence.
Sridhar Tayur, PhD, is Ford Distinguished Research Chair and Professor of Operations Management at Tepper School of Business, Carnegie Mellon University. He has been elected as Member of National Academy of Engineering, Fellow of Institute for Operations Research and the Management Sciences (INFORMS), and Distinguished Fellow of the Manufacturing and Service Operations Management Society (MSOM). An Academic Capitalist, he is Founder of the supply chain software company SmartOps and the social enterprise OrganJet.
| SKU | Unavailable |
| ISBN 13 | 9780792383444 |
| ISBN 10 | 0792383443 |
| Title | Quantitative Models for Supply Chain Management |
| Author | Sridhar Tayur |
| Series | International Series In Operations Research And Management Science Ser |
| Condition | Unavailable |
| Publisher | Springer |
| Year published | 1998-12-31 |
| Number of pages | 885 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |






































