During the last two decades, researchers are engaged in analyzing inventory models for deteriorating items such as volatile liquids, blood, medicines, fashion goods, fruits and vegetables etc. This book presents mathematically derived models to facilitate decision making and control of the inventory system of perishable items. Several economic and business factors are assumed and introduced in different models to capture real life situations and the optimal ordering policies are derived and examined therein. Analytical proofs are derived and hypothetical examples are used to show and support the solution procedures. Managerial insights are embedded in the observations and conclusion sections of each model. This book will be useful to researchers and practitioners of inventory modeling area to examine the effect of several factors like supplier credits / permissible delay in payments, price dependent demand, inflation, stock out costs, stock dependent demand etc on the ordering policies. Most importantly this book would surely serve as an initial guide for researchers with inventory control and mathematics interface.
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Dr. Ravi Gor, a management scientist & educator, is Ph.D. in Mathematics in Inventory Management area from India and a Post Doctoral Fellow of University of New Brunswick, Canada; where he focused on risk sharing / hedging models in supply chain. He has widely published in refereed national & international journals. He had five books to his credit.
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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 -During the last two decades, researchers are engaged in analyzing inventory models for deteriorating items such as volatile liquids, blood, medicines, fashion goods, fruits and vegetables etc. This book presents mathematically derived models to facilitate decision making and control of the inventory system of perishable items. Several economic and business factors are assumed and introduced in different models to capture real life situations and the optimal ordering policies are derived and examined therein. Analytical proofs are derived and hypothetical examples are used to show and support the solution procedures. Managerial insights are embedded in the observations and conclusion sections of each model. This book will be useful to researchers and practitioners of inventory modeling area to examine the effect of several factors like supplier credits / permissible delay in payments, price dependent demand, inflation, stock out costs, stock dependent demand etc on the ordering policies. Most importantly this book would surely serve as an initial guide for researchers with inventory control and mathematics interface. 144 pp. Englisch. Bestandsnummer des Verkäufers 9783845419251
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Anbieter: moluna, Greven, Deutschland
Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Gor RaviDr. Ravi Gor, a management scientist & educator, is Ph.D. in Mathematics in Inventory Management area from India and a Post Doctoral Fellow of University of New Brunswick, Canada where he focused on risk sharing / hedging mo. Bestandsnummer des Verkäufers 5481584
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Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -During the last two decades, researchers are engaged in analyzing inventory models for deteriorating items such as volatile liquids, blood, medicines, fashion goods, fruits and vegetables etc. This book presents mathematically derived models to facilitate decision making and control of the inventory system of perishable items. Several economic and business factors are assumed and introduced in different models to capture real life situations and the optimal ordering policies are derived and examined therein. Analytical proofs are derived and hypothetical examples are used to show and support the solution procedures. Managerial insights are embedded in the observations and conclusion sections of each model. This book will be useful to researchers and practitioners of inventory modeling area to examine the effect of several factors like supplier credits / permissible delay in payments, price dependent demand, inflation, stock out costs, stock dependent demand etc on the ordering policies. Most importantly this book would surely serve as an initial guide for researchers with inventory control and mathematics interface.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 144 pp. Englisch. Bestandsnummer des Verkäufers 9783845419251
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Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - During the last two decades, researchers are engaged in analyzing inventory models for deteriorating items such as volatile liquids, blood, medicines, fashion goods, fruits and vegetables etc. This book presents mathematically derived models to facilitate decision making and control of the inventory system of perishable items. Several economic and business factors are assumed and introduced in different models to capture real life situations and the optimal ordering policies are derived and examined therein. Analytical proofs are derived and hypothetical examples are used to show and support the solution procedures. Managerial insights are embedded in the observations and conclusion sections of each model. This book will be useful to researchers and practitioners of inventory modeling area to examine the effect of several factors like supplier credits / permissible delay in payments, price dependent demand, inflation, stock out costs, stock dependent demand etc on the ordering policies. Most importantly this book would surely serve as an initial guide for researchers with inventory control and mathematics interface. Bestandsnummer des Verkäufers 9783845419251
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Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
Paperback. Zustand: Brand New. 144 pages. 8.66x5.91x0.33 inches. In Stock. Bestandsnummer des Verkäufers 3845419253
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