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Home / Journals / American Journal of Applied Mathematics / Inventory Management under Uncertainty
Inventory Management under Uncertainty
Lead Guest Editor:
Wasim Akram Mandal
Department of Mathematics, University of Kalyani, Kalyani, West Bengal, India
Guest Editors
Haridas Biswas
Department of Mathematics, University of Kalyani
Kalyani, West Bengal, India
Tanmay Kundu
Department of Mathematics, University of Kalyani
Kalyani, West Bengal, India
Abhisekh Kanti Biswas
Department of Mathematics, Ramakrishna Mission Vivekananda Centenary College
Rahara, West Bengal, India
Sahidul Islam
Department of Mathematics, University of Kalyani
Kalyani, West Bengal, India
Partha Ray
Department of Mathematics, Ramakrishna Mission Vivekananda Centenary College
Rahara, West Bengal, India
Satya Kumar Das
Department of Mathematics, University of Kalyani
Kalyani, West Bengal, India
Alok Pramanik
Department of Mathematics, University of Kolkata
Kolkata, West Bengal, India
Ahsanaul Hoque
Department of Mathematics, University of Kalyani
Kalyani, West Bengal, India
Sajahan Seikh
Department of Mathematics, University of Kalyani
Kalyani, West Bengal, India
Sayani Das
Department of Mathematics, Techno India Group Public School
Kolkat, West Bengal, India
Introduction
Inventory management is a very important branch of operations research and covers all aspects of business, management, data decision, etc. An inventory deals with decision that minimizes the total average cost or maximizes the total average profit. For this purpose the task is to construct a mathematical model of the real life inventory system, such a mathematical model is based on various assumptions and approximations. Since the date that the first essential inventory system called economic order quantity (EOQ) model was created by Ford Whitman Harris, several models have been developed and implemented in industry. In ordinary inventory model it consider all parameter like set-up cost, holding cost, interest cost a fixed. But in real life situation it will have some little fluctuations. So consideration of fuzzy variables is more realistic.
The aim of this special issue is to provide a platform for researcher, scientists and academicians all over the world to promote, share, and discuss various new idea, issues and developments in this area of Inventory Management under Uncertainty.

Both, the technical and survey/review papers are most welcome. We will select high-quality papers that pay attention to new methodologies to deal with the emerging problems.

Subject Coverage
Suitable topics include, but are not limited, to the following:

Optimization model for single and multi-echelon inventory/capacity management
Fuzzy application of EOQ and EPQ rules
Uncertainty in supply chain management
Joint and multi-echelon inventory models
Multi-objective inventory models
Newsvendor models
Reverse logistics and closed loop supply chain
Errors and asymmetric data in inventory control systems
Collaborative inventory models
Innovative replenishment rules
Performance evaluation in operations and supply chains
Management of uncertainties in inventory control system

We are particularly interested in articles describing new models, as well as case studies and applications.
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