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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | De, P.K. Rawat, A. |
| Copyright Year | 2013 |
| Description | Author affiliation: AIM & ACT, Banasthali Univ., Tonk, India (Rawat, A.) || Dept. of Math., Nat. Inst. of Technol., Silchar, India (De, P.K.) |
| Abstract | In this paper, the optimization of a fuzzy inventory model under fuzzy demand is done. Due to uncertainty in demand, we can express it using some fuzzy distribution which depends on the inventory manager. The fuzzy demand leads to a fuzzy total cost function of the inventory problem. The paper uses three types of fuzzy numbers to represent the uncertain demand and the expected value of the total cost function is minimized so as to find the optimal value of order quantity using each. The expected value of the total cost function is based on the lambda pessimistic and optimistic values of the fuzzy variables. The formulae for optimal order quantity are then derived. The results are justified with the help of some numerical illustrations. The methodology of the paper can also be applied to other inventory problems under uncertain factors affecting the total cost of the problem. |
| Starting Page | 1 |
| Ending Page | 5 |
| File Size | 323403 |
| Page Count | 5 |
| File Format | |
| ISSN | 10987584 |
| e-ISBN | 9781479900220 |
| DOI | 10.1109/FUZZ-IEEE.2013.6622534 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-07-07 |
| Publisher Place | India |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Mathematical model Fuzzy set theory Computational modeling Fuzzy sets Uncertainty Cost function Lambda optimistic value Fuzzy Inventory Order Quantity Fuzzy variable L-R type fuzzy number Fuzzy expectation Optimal order quantity lambda pessimistic value |
| Content Type | Text |
| Resource Type | Article |
| Subject | Applied Mathematics Artificial Intelligence Theoretical Computer Science Software |
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