01019nam a22002893i 450099100411229970753620031003162522.0031111s1978 it a||||||||||||||||ita b12523148-39ule_instARCHE-055641ExLDip.to LingueitaA.t.i. Arché s.c.r.l. Pandora Sicilia s.r.l.294.34Blofeld, John458079La via del potere :guida pratica al misticismo tantrico del Tibet /John BlofeldRoma :Ubaldini,1978224 p. :ill. ;21 cmCiviltà dell'OrienteTrad. R. PratsBuddismo mahayanaPrats, Ramonway of power.b1252314802-04-1413-11-03991004112299707536LE012 294.34 BLO 212012000175648le012-E0.00-l- 00000.i1296509113-11-03Via del potere184400UNISALENTOle01213-11-03ma -itait 3105022nam 22005893 450 991029704170332120230914154718.09783631753866363175386110.3726/b13905(CKB)4100000007276979(OAPEN)1003172(oapen)https://directory.doabooks.org/handle/20.500.12854/35330(MiAaPQ)EBC30686346(Au-PeEL)EBL30686346(ScCtBLL)613f8602-fa2b-4859-93e9-b8d1d9ede5ca(OCoLC)1163806240(Perlego)2340739(oapen)doab35330(EXLCZ)99410000000727697920230911d2009 uy 0enguuuuu---auuuutxtrdacontentcrdamediacrrdacarrierManagement of Stochastic Demand in Make-To-Stock ManufacturingFirst editionBernPeter Lang International Academic Publishing Group2018Frankfurt am Main :Peter Lang GmbH, Internationaler Verlag der Wissenschaften,2009.©2010.1 online resource (128 pages)Forschungsergebnisse der Wirtschaftsuniversitaet Wien.9783631594094 3631594097 Cover -- List of Figures -- List of Tables -- Nomenclature -- 1 Introduction -- 1.1 Research Topic and Motivation -- 1.2 Organization, Objectives and Contributions -- 2 Demand Fulfillment in Make-to-Stock Manufacturing -- 2.1 Make-to-Stock and the Customer Order Decoupling Point -- 2.2 Structure of Advanced Planning Systems -- 2.3 Available-to-Promise -- 2.3.1 Definition -- 2.3.2 Dimensions of ATP -- 3 A Framework for Demand Management -- 3.1 Demand Management Defined -- 3.2 General Model Types for DM -- 3.2.1 Classifying Demand Management Models -- 3.2.2 Single-Class Exogenous Demand Models -- 3.2.3 Price-Based Demand Models -- 3.2.4 Quantity-Based Demand Models -- 3.3 General Software Types for DM -- 3.3.1 Classifying Demand Management Software -- 3.3.2 Single-Class Exogenous Demand Solutions -- 3.3.3 Price-Based Solutions -- 3.3.4 Quantity-Based Solutions -- 4 Demand Management Models in MTS Manufacturing -- 4.1 Matching of Model and Software Types -- 4.2 Quantity-Based DM in Manufacturing -- 4.2.1 Traditional Revenue Management -- 4.2.2 Allocated Available-to-Promise -- 4.2.3 Inventory Rationing -- 4.3 A Selected Allocation and Order Promising Model -- 4.3.1 Models Without Customer Segmentation -- 4.3.2 Models With Customer Segmentation -- 4.3.3 Search Rules for ATP Consumption -- 4.4 Summary -- 5 New Demand Management Approaches -- 5.1 A Revenue Management Approach -- 5.1.1 Model formulation -- 5.1.2 Structural properties and optimal policy -- 5.1.3 A Numerical Example -- 5.2 Approximations Based on Linear Programming -- 5.2.1 Deterministic Linear Programming -- 5.2.2 Randomized Linear Programming -- 6 Simulation Environment -- 6.1 Technical Settings and Implementation Issues -- 6.1.1 Test Environment -- 6.1.2 Implementation Issues -- 6.2 Simulation Issues -- 6.2.1 Data Generation -- 6.2.2 Simulation Options.6.2.3 Output and Key Performance Indicators -- 7 Numerical Analysis -- 7.1 SOPA in Stochastic Environments -- 7.1.1 Base Case Analysis -- 7.1.2 Impact of Customer Classes -- 7.1.3 Impact of Customer Heterogeneity -- 7.1.4 Impact of Forecast Errors -- 7.1.5 Impact of Backlogging Costs -- 7.2 Analysis of the Revenue Management Approach -- 7.2.1 Base Case Analysis -- 7.2.2 Impact of Demand Variability -- 7.2.3 Impact of Customer Heterogeneity -- 7.2.4 Impact of Supply Shortage -- 7.3 Analysis of Randomized Linear Programming -- 7.4 Summary -- 8 Conclusion -- Appendix -- A Proofs of the Structural Properties of the RM approach -- B Data Tables.Up to now, demand fulfillment in make-to-stock manufacturing is usually handled by advanced planning systems. Orders are fulfilled on the basis of simple rules or deterministic planning approaches not taking into account demand fluctuations. The consideration of different customer classes as it is often done today requires more sophisticated approaches explicitly considering stochastic influences. This book reviews current literature, presents a framework that addresses revenue management and demand fulfillment at once and introduces new stochastic approaches for demand fulfillment in make-to-stock manufacturing based on the ideas of the revenue management literature.EconomicsPhilosophyPurchasingManagementDistribution (Economic theory)EconomicsPhilosophy.PurchasingManagement.Distribution (Economic theory)Quante Rainer944906MiAaPQMiAaPQMiAaPQBOOK9910297041703321Management of Stochastic Demand in Make-to-Stock Manufacturing2133258UNINA