2006 - Fellow of the Institute for Operations Research and the Management Sciences (INFORMS)
The scientist’s investigation covers issues in Mathematical optimization, Mathematical economics, Operations research, Production and Inventory control. In his works, Paul Zipkin performs multidisciplinary study on Mathematical optimization and Simple. His Mathematical economics research is multidisciplinary, relying on both Stochastic process, Inventory management and Constant.
He merges Operations research with Work in his research. His work in Production addresses issues such as Stochastic modelling, which are connected to fields such as State space, Order, Lead time and Production control. His research investigates the link between Inventory control and topics such as Monotonic function that cross with problems in Dynamic programming and Markov process.
His primary scientific interests are in Mathematical optimization, Operations research, Production, Inventory control and Supply chain. His work deals with themes such as Average cost, Markov chain and Inventory theory, which intersect with Mathematical optimization. In the field of Operations research, his study on Inventory system overlaps with subjects such as Stock.
His work on Production control as part of general Production research is frequently linked to Function, thereby connecting diverse disciplines of science. His Supply chain study integrates concerns from other disciplines, such as Incentive and Microeconomics. His biological study spans a wide range of topics, including Convexity and Constant.
His main research concerns Mathematical optimization, Average cost, Supply chain, First-hitting-time model and Wiener process. Many of his studies on Mathematical optimization involve topics that are commonly interrelated, such as Convexity. His Average cost study combines topics in areas such as Heuristic, Production, Order and Optimal control.
His Supply chain research focuses on Incentive and how it relates to Operations management and Product. His study in First-hitting-time model is interdisciplinary in nature, drawing from both Applied mathematics, Series and Tangent, Calculus. Paul Zipkin combines subjects such as Markov process, Demand forecasting, Demand curve and Newsvendor model, Extended newsvendor model with his study of Dynamic programming.
Paul Zipkin mostly deals with Field, Rhetoric, Supply chain management, Transaction cost and Positive economics. His Field research spans across into subjects like Outsourcing and Management.
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Complexity Theory and Organization Science
Gérard P. Cachon;Paul H. Zipkin;Philip Anderson.
Foundations of Inventory Management
Paul Herbert Zipkin.
Competitive and Cooperative Inventory Policies in a Two-Stage Supply Chain
Gérard P. Cachon;Paul H. Zipkin.
The Limits of Mass Customization
Paul H. Zipkin.
MIT Sloan Management Review (2001)
A Combined Vehicle Routing and Inventory Allocation Problem
Awi Federgruen;Paul H. Zipkin.
Inventory Control in a Fluctuating Demand Environment
Jing-Sheng Song;Paul Zipkin.
An Inventory Model with Limited Production Capacity and Uncertain Demands II. The Discounted-Cost Criterion
A Federgruen;P Zipkin.
Approximations of Dynamic, Multilocation Production and Inventory Problems
Awi Federgruen;Paul Zipkin.
Computational Issues in an Infinite-Horizon, Multiechelon Inventory Model
Awi Federgruen;Paul Zipkin.
Customer-order information, leadtimes, and inventories
Rema Hariharan;Paul Zipkin.
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