Facebook Pixel

Stochastic Imperfect Inventory Systems

Inventory and Production Management
ISBN:
978-3-03-180098-6
Verlag:
Springer, Springer International Publishing
Land des Verlags:
Schweiz
Erscheinungsdatum:
10.02.2025
Format:
Hardcover
Seitenanzahl:
500
Ladenpreis
197,99EUR (inkl. MwSt. zzgl. Versand)
Beim Kauf dieses Artikels handelt es sich um eine Vorbestellung.
Updates zu dieser Vorbestellung erhalten?
In today’s 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.

Biografische Anmerkung

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.