Inventory Management using FSN Analysis and Demand Forecasting

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Details

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.

Autorentext

Miss 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, India. She graduated with Bachelor of Technology in Mechanical Engineering (2014) from FGIET, Raebareli, India.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09786139847341
    • Sprache Englisch
    • Genre Maschinenbau
    • Anzahl Seiten 84
    • Größe H220mm x B150mm x T6mm
    • Jahr 2018
    • EAN 9786139847341
    • Format Kartonierter Einband
    • ISBN 6139847346
    • Veröffentlichung 30.05.2018
    • Titel Inventory Management using FSN Analysis and Demand Forecasting
    • Autor Shubham Tripathi , Ajay Gupta
    • Untertitel Case Study of a Valve Manufacturing Industry
    • Gewicht 143g
    • Herausgeber LAP LAMBERT Academic Publishing

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