This book entitles as Multi Criteria Decision Making in Inventory Models by Fuzzy Approaches. An inventory is normally held for the ultimate purpose of satisfying demands. Typically, an inventory problem has four parts: (i) a model, expressing a set of assumed empirical relations among a set of variables; (ii) a subset of decision variables, whose values are to be chosen by the decision maker; (iii) an objective function of the variables in the model; and (iv) computing methods for analyzing the effects of alternative values of the decision variables on the objective function. In case of traditional inventory models, the pattern of demands is either deterministic or uncertain. In practice, the latter corresponds more to the real-world environment. To solve these inventory problems with uncertain demands, the classical inventory models usually describe the demands as certain probability distributions and then solve them.
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
Dr. Pavan Kumar is an Assistant Professor of Mathematics at KL University, Guntur, INDIA. His research areas are Operations Research and Fuzzy Sets. He received his PhD in Operations Research from NIT Warangal, M.Sc & B.Sc from CCS University, Meerut. He has published several research papers in International journals of high repute.
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book entitles as Multi Criteria Decision Making in Inventory Models by Fuzzy Approaches. An inventory is normally held for the ultimate purpose of satisfying demands. Typically, an inventory problem has four parts: (i) a model, expressing a set of assumed empirical relations among a set of variables; (ii) a subset of decision variables, whose values are to be chosen by the decision maker; (iii) an objective function of the variables in the model; and (iv) computing methods for analyzing the effects of alternative values of the decision variables on the objective function. In case of traditional inventory models, the pattern of demands is either deterministic or uncertain. In practice, the latter corresponds more to the real-world environment. To solve these inventory problems with uncertain demands, the classical inventory models usually describe the demands as certain probability distributions and then solve them. 116 pp. Englisch. Bestandsnummer des Verkäufers 9783639862669
Anzahl: 2 verfügbar
Anbieter: moluna, Greven, Deutschland
Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Kumar PavanDr. Pavan Kumar is an Assistant Professor of Mathematics at KL University, Guntur, INDIA. His research areas are Operations Research and Fuzzy Sets. He received his PhD in Operations Research from NIT Warangal, M.Sc & B.Sc. Bestandsnummer des Verkäufers 151404894
Anzahl: Mehr als 20 verfügbar
Anbieter: Books Puddle, New York, NY, USA
Zustand: New. Bestandsnummer des Verkäufers 26405956442
Anzahl: 4 verfügbar
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
Zustand: New. Print on Demand. Bestandsnummer des Verkäufers 407230597
Anzahl: 4 verfügbar
Anbieter: Biblios, Frankfurt am main, HESSE, Deutschland
Zustand: New. PRINT ON DEMAND. Bestandsnummer des Verkäufers 18405956432
Anzahl: 4 verfügbar
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book entitles as Multi Criteria Decision Making in Inventory Models by Fuzzy Approaches. An inventory is normally held for the ultimate purpose of satisfying demands. Typically, an inventory problem has four parts: (i) a model, expressing a set of assumed empirical relations among a set of variables; (ii) a subset of decision variables, whose values are to be chosen by the decision maker; (iii) an objective function of the variables in the model; and (iv) computing methods for analyzing the effects of alternative values of the decision variables on the objective function. In case of traditional inventory models, the pattern of demands is either deterministic or uncertain. In practice, the latter corresponds more to the real-world environment. To solve these inventory problems with uncertain demands, the classical inventory models usually describe the demands as certain probability distributions and then solve them.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 116 pp. Englisch. Bestandsnummer des Verkäufers 9783639862669
Anzahl: 1 verfügbar
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book entitles as Multi Criteria Decision Making in Inventory Models by Fuzzy Approaches. An inventory is normally held for the ultimate purpose of satisfying demands. Typically, an inventory problem has four parts: (i) a model, expressing a set of assumed empirical relations among a set of variables; (ii) a subset of decision variables, whose values are to be chosen by the decision maker; (iii) an objective function of the variables in the model; and (iv) computing methods for analyzing the effects of alternative values of the decision variables on the objective function. In case of traditional inventory models, the pattern of demands is either deterministic or uncertain. In practice, the latter corresponds more to the real-world environment. To solve these inventory problems with uncertain demands, the classical inventory models usually describe the demands as certain probability distributions and then solve them. Bestandsnummer des Verkäufers 9783639862669
Anzahl: 1 verfügbar
Anbieter: preigu, Osnabrück, Deutschland
Taschenbuch. Zustand: Neu. Multi Criteria Decision Making in Inventory Models by Fuzzy Approaches | Pavan Kumar | Taschenbuch | 116 S. | Englisch | 2016 | Scholars' Press | EAN 9783639862669 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 103996268
Anzahl: 5 verfügbar