Inventory Management using FSN Analysis and Demand Forecasting: Case Study of a Valve Manufacturing Industry - Softcover
Inhaltsangabe
Inventory management has great impact on the overall performance and profitability of an enterprise. The trade-off is between high holding and obsolescence costs of excessive stock on one hand and poor customer service and high shortage costs resulting from low inventory levels on the other. The desired solution is devising a suitable inventory control policy that provides a satisfactory customer service level without keeping unnecessarily large inventories that blocks capital and is difficult to handle. The study compares various quantitative forecasting models for forecasting continuous and highly fluctuating real demand data of a valve manufacturing industry to be used in the inventory systems. The case study focuses on inventory control in a system having high demand variability over a versatile range of products taking into account the fact that inventory control parameters are a function of forecasting systems.
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Über die Autorin bzw. den Autor
Dr. Shubham Tripathi, MDS, is a Gold Medalist in Conservative Dentistry and Endodontics with multiple national and international publications in reputed journals. He currently serves as a Senior Lecturer in the Department of Conservative Dentistry and Endodontics at Sri Aurobindo College of Dentistry, Indore.
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Inventory Management using FSN Analysis and Demand Forecasting
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Inventory Management using FSN Analysis and Demand Forecasting
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LAP LAMBERT Academic Publishing Mai 2018, 2018
ISBN 10: 6139847346
ISBN 13: 9786139847341
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Inventory management has great impact on the overall performance and profitability of an enterprise. The trade-off is between high holding and obsolescence costs of excessive stock on one hand and poor customer service and high shortage costs resulting from low inventory levels on the other. The desired solution is devising a suitable inventory control policy that provides a satisfactory customer service level without keeping unnecessarily large inventories that blocks capital and is difficult to handle. The study compares various quantitative forecasting models for forecasting continuous and highly fluctuating real demand data of a valve manufacturing industry to be used in the inventory systems. The case study focuses on inventory control in a system having high demand variability over a versatile range of products taking into account the fact that inventory control parameters are a function of forecasting systems. 84 pp. Englisch. Bestandsnummer des Verkäufers 9786139847341
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Tripathi ShubhamMiss Shubham Tripathi is currently pursuing Doctor of Philosophy (Ph.D) from MNNIT, Allahabad, India. She was awarded gold medal for Master of Technology in Manufacturing Technology (2017) from NIT Jalandhar, Punjab,. Bestandsnummer des Verkäufers 385874124
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Inventory Management using FSN Analysis and Demand Forecasting
Verlag:
LAP LAMBERT Academic Publishing Mai 2018, 2018
ISBN 10: 6139847346
ISBN 13: 9786139847341
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Taschenbuch. Zustand: Neu. Neuware -Inventory management has great impact on the overall performance and profitability of an enterprise. The trade-off is between high holding and obsolescence costs of excessive stock on one hand and poor customer service and high shortage costs resulting from low inventory levels on the other. The desired solution is devising a suitable inventory control policy that provides a satisfactory customer service level without keeping unnecessarily large inventories that blocks capital and is difficult to handle. The study compares various quantitative forecasting models for forecasting continuous and highly fluctuating real demand data of a valve manufacturing industry to be used in the inventory systems. The case study focuses on inventory control in a system having high demand variability over a versatile range of products taking into account the fact that inventory control parameters are a function of forecasting systems.Books on Demand GmbH, Überseering 33, 22297 Hamburg 84 pp. Englisch. Bestandsnummer des Verkäufers 9786139847341
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Inventory management has great impact on the overall performance and profitability of an enterprise. The trade-off is between high holding and obsolescence costs of excessive stock on one hand and poor customer service and high shortage costs resulting from low inventory levels on the other. The desired solution is devising a suitable inventory control policy that provides a satisfactory customer service level without keeping unnecessarily large inventories that blocks capital and is difficult to handle. The study compares various quantitative forecasting models for forecasting continuous and highly fluctuating real demand data of a valve manufacturing industry to be used in the inventory systems. The case study focuses on inventory control in a system having high demand variability over a versatile range of products taking into account the fact that inventory control parameters are a function of forecasting systems. Bestandsnummer des Verkäufers 9786139847341
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