Fuzzy Optimal Policy of Some Inventory System
Pabitra Kumar Tripathy1, Subhendu Kumar Rath2, Sachinandan Mohanty3
1Pabitra Kumar Tripathy, Pabitra Kumar Tripathy, Department of Computer Science & Engineering, Kalam Institute of Technology, Berhampur Odisha Subhendu Kumar Rath.
2Subhendu Kumar Rath, Deputy Registrar, Biju Patnaik University of Technology, Rourkela.
3Sachinandan Mohanty, Sachinandan Mohanty, Department of Computer Science & Engineering, GIFT, Bhubaneswar
Manuscript received on 03 July 2019 | Revised Manuscript received on 09 July 2019 | Manuscript published on 30 July 2019 | PP: 3219-3223 | Volume-8 Issue-9, July 2019 | Retrieval Number: I8498078919/19©BEIESP | DOI: 10.35940/ijitee.I8498.078919
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Inventory management is a very important function that determines the health of the supply chain as well as the impacts the financial health of the balance sheet. Each and every organization implements different types of inventory systems to maintain optimum inventory to be able to meet its requirements and avoid over or under inventory that can impact the financial figures. The Inventory system is always dynamic. So with the help of fuzzy system it tries to develop a robust inventory model which will involve trade credit system assuming with cost fuzzy parameters.
Keywords: Fuzzy Optimal Inventory Management Fuzzy System
Scope of the Article: Fuzzy Logics