Descripciones mejoradas de Syndetics:

Inventory Control and Management C. D. J. Waters University of Calgary, Canada Holding stock is expensive--problems of inventory control almost universal. Based on sound theoretical principles this book describes the methods of inventory control which have developed over many years and proved most useful in practice. Covering both the traditional independent demand systems, quantitative models and forecast demand, and the more recent dependent demand systems, MRP and JIT, Inventory Control and Management presents a clear and practical guide to the subject. Although some quantitative ideas are developed in the text the author has kept mathematics to a minimum, allowing the reader to develop a thorough understanding of the principles involved. He uses practical examples to emphasise the value of stock control, as well as describing the context in which such decisions are made. Assuming no prior knowledge of the subject area, this book will provide students of management, operational research and production--as well as practitioners--with an indispensable guide to inventory control.

Tabla de contenidos provista por Syndetics

• Background to Inventory Control
• Independent Demand Inventory Systems
• Economic Order Quantity Model
• Deterministic Models for Inventory Control
• Probabilistic Models for Inventory Control
• Forecasting Demand
• Information for Independent Demand Inventory Systems
• Dependent Demand Inventory Systems
• Material Requirements Planning
• Just-in-Time Systems
• Planning for Dependent Demand Inventory Systems
• Appendices
• Index

Notas de autor provistas por Syndetics

About the author Donald Waters holds degrees in physics, operational research and management science. As well as lecturing--previously at the University of Strathclyde, currently at the University of Calgary --he has consulted widely in Europe, Australia and North America. He has written many research papers concentrating on aspects of logistics and has recently written introductory textbooks on management science and operations management.