02785oam 2200589I 450 991078796100332120170822112823.00-429-16113-11-4822-3991-410.1201/b17414 (CKB)2670000000560128(EBL)1686368(SSID)ssj0001357927(PQKBManifestationID)11915362(PQKBTitleCode)TC0001357927(PQKBWorkID)11364189(PQKB)11350602(MiAaPQ)EBC1686368(OCoLC)890816327(CaSebORM)9781482239904(EXLCZ)99267000000056012820180331h20152015 uy 0engur|n|---|||||txtccrOperations planning mixed integer optimization models /Joseph Geunes1st editionBoca Raton :CRC Press,[2015]©20151 online resource (216 p.)Operations Research SeriesDescription based upon print version of record.1-322-63435-1 1-4822-3990-6 Includes bibliographical references.Front Cover; Dedicated to Sherry, Eric, and Brett.; Contents; Preface; Author Biography; 1. Introduction and Purpose; 2. The Knapsack Problem; 3. Set Covering, Packing, and Partitioning Problems; 4. The Generalized Assignment Problem; 5. Uncapacitated Economic Lot Sizing Problems; 6. Capacitated Lot Sizing Problems; 7. Multistage Production and Distribution Planning Problems; 8. Discrete Facility Location Problems; 9. Vehicle Routing and Traveling Salesman Problems; BibliographyA reference for those working at the interface of operations planning and optimization modeling, Operations Planning: Mixed Integer Optimization Models blends essential theory and powerful approaches to practical operations planning problems. It presents a set of classical optimization models with widespread application in operations planning. The discussion of each of these classical models begins with the motivation for studying the problem as well as examples of the problem's application in operations planning contexts. The book explores special structural results and properties of optimal Operations research series.Operations researchProduction planningMathematical modelsOperations research.Production planningMathematical models.658.4/034Geunes Joseph1573626FlBoTFGFlBoTFGBOOK9910787961003321Operations planning3849427UNINA