Special Issue on Inventory Management under Uncertainty

Submission Deadline: Jun. 10, 2018

  • Special Issue Editor
    • Department of Mathematics, University of Kalyani, Kalyani, West Bengal, India
    • 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.

  • Guidelines for Submission

    Manuscripts can be submitted until the expiry of the deadline. Submissions must be previously unpublished and may not be under consideration elsewhere.

    Papers should be formatted according to the guidelines for authors (see: http://www.applmath.org/submission). By submitting your manuscripts to the special issue, you are acknowledging that you accept the rules established for publication of manuscripts, including agreement to pay the Article Processing Charges for the manuscripts. Manuscripts should be submitted electronically through the online manuscript submission system at http://www.sciencepublishinggroup.com/login. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal and will be listed together on the special issue website.

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