Stochastic Imperfect Inventory Systems

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192,59 

Inventory and Production Management

ISBN: 3031800982
ISBN 13: 9783031800986
Autor: Taleizadeh, Ata Allah
Verlag: Springer Verlag GmbH
Umfang: viii, 562 S., 83 s/w Illustr., 40 farbige Illustr., 562 p. 123 illus., 40 illus. in color.
Erscheinungsdatum: 01.06.2025
Auflage: 1/2025
Produktform: Gebunden/Hardback
Einband: Gebunden
Artikelnummer: 4838977 Kategorie:

Beschreibung

In todays manufacturing environment, managing inventories is one of the basic concerns of enterprises dealing with materials according to their activities. This book introduces and examines important production strategies such as scrap strategy and rework strategy under stochastic conditions that contribute to the reduction of unexpected costs. In a step-by-step manner, it presents stochastic imperfect inventory models, inventory models involving rework processes or breakdowns, as well as their maintenance. Also, different aspects of uncertainty are provided in multiple chapters of this book.One of the primary questions answered in this book is: What is the optimal production quantity when there is a failure in the production line? To answer the question, the problem is first modelled mathematically, then the concavity or convexity of the objective function is proved and finally the optimal production quantity of the production system is determined using suitable solution methods. The book is valuable for researchers in operations research and inventory management and professionals working with supply chains.

Autorenporträt

Ata Allah Taleizadeh is a Full Professor and the Head of the Supply Chain and Logistic Engineering Department at the University of Tehran, Iran. He received his Ph.D. in Industrial Engineering at the Iran University of Science and Technology. He published two books by springer entitled Inventory Control Models with Motivational Policies and Imperfect Inventory Systems. He is an Associate Editor for many scientific journals by Springer, Taylor & Francis, etc. His research interests include inventory and material management, pricing and revenue optimization, game theory, and uncertainty programming.

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E-Mail: juergen.hartmann@springer.com

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