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Handbook of EOQ inventory problems : stochastic and deterministic models and applications /

The Economic Order Quantity (EOQ) inventory model first appeared in 1913, and in its centennial, it is still one of the most important inventory models. Despite the abundance of both classical and new research results, there was (until now) no comprehensive reference source that provides the state-o...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Choi, Tsan-Ming
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York : Springer, ©2014.
Colección:International series in operations research & management science ; 197.
Temas:
Acceso en línea:Texto completo

MARC

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245 0 0 |a Handbook of EOQ inventory problems :  |b stochastic and deterministic models and applications /  |c Tsan-Ming Choi, editor. 
246 3 |a Handbook of economic order quantity inventory problems 
260 |a New York :  |b Springer,  |c ©2014. 
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490 1 |a International series in operations research & management science ;  |v vol. 197 
504 |a Includes bibliographical references and index. 
520 |a The Economic Order Quantity (EOQ) inventory model first appeared in 1913, and in its centennial, it is still one of the most important inventory models. Despite the abundance of both classical and new research results, there was (until now) no comprehensive reference source that provides the state-of-the-art findings on both theoretical and applied research on the EOQ and its related models. This edited handbook puts together all these interesting works and the respective insights into an edited volume. The handbook contains papers which explore both the deterministic and the stochastic EOQ-model based problems and applications. It is organized into three parts: Part I presents three papers that provide an introduction and review of various EOQ related models. Part II includes four technical analyses on single-echelon EOQ-model based inventory problems. Part III consists of five papers on applications of the EOQ model for multi-echelon supply chain inventory analysis. 
505 0 0 |t Introduction and Review --  |t A Century of the EOQ /  |r Matthew J. Drake and Kathryn A. Marley --  |t Multi-Period Lot-Sizing with Stationary Demand: Extension to Forecast Horizons /  |r Suresh Chand and Suresh Sethi --  |t EOQ Models with Supply Disruptions /  |r Zümbül Atan and Lawrence V. Snyder --  |t Single-Echelon Problems --  |t Existence of EOQ and its Evaluation: Some Cases of Stock Blow Down Dynamics Depending on its Level /  |r Alessandro Gambini, Giovanni Mingari Scarpello and Daniele Ritelli --  |t Generalizing the Ordering Cost and Holding-Backlog Cost Rate Functions in EOQ-Type Inventory Models /  |r J.B.G. Frenk, Murat Kaya and Behrooz Pourghannad --  |t Economic and Environmental Performance of the Firm: Synergy or Trade-Off? Insights from the EOQ Model /  |r Jack A.A. van der Veen and V. Venugopal --  |t EOQ Models with Two Modes of Freight Transportation and All-Units Quantity Discounts /  |r Abraham Mendoza and José A. Ventura --  |t Multi-Echelon Problems --  |t An EOQ-Based Spare Parts Network Design /  |r Brecht Landrieux and Nico Vandaele --  |t Supply Chain Coordination with Energy Price Uncertainty, Carbon Emission Cost, and Product Return /  |r S. Paul, M.I.M. Wahab and X.F. Cao --  |t Coordinating a Supply Chain with an EOQ Model /  |r Jing Chen and Genevieve Mushaluk --  |t The Utility of EOQ in Supply Chain Design and Operation /  |r Burcu B. Keskin and İbrahim Çapar --  |t Modeling a Coordinated Manufacturer-Buyer Single-Item System Under Vendor-Managed Inventory /  |r Fidel Torres, Frank Ballesteros and Marcela Villa. 
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700 1 |a Choi, Tsan-Ming. 
758 |i has work:  |a Handbook of EOQ inventory problems (Text)  |1 https://id.oclc.org/worldcat/entity/E39PCH6dTFqqbhVwx9kxc9YYrm  |4 https://id.oclc.org/worldcat/ontology/hasWork 
776 0 8 |i Print version:  |a Choi, Tsan-Ming.  |t Handbook of EOQ Inventory Problems : Stochastic and Deterministic Models and Applications.  |d Dordrecht : Springer, ©2013  |z 9781461476382 
830 0 |a International series in operations research & management science ;  |v 197. 
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