A Novel Method for Optimal Solution of Fuzzy Chance Constraint Single-Period Inventory Model
Joint Authors
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-11-06
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
A method is proposed for solving single-period inventory fuzzy probabilistic model (SPIFPM) with fuzzy demand and fuzzy storage space under a chance constraint.
Our objective is to maximize the total profit for both overstock and understock situations, where the demand D~j for each product j in the objective function is considered as a fuzzy random variable (FRV) and with the available storage space area W~, which is also a FRV under normal distribution and exponential distribution.
Initially we used the weighted sum method to consider both overstock and understock situations.
Then the fuzziness of the model is removed by ranking function method and the randomness of the model is removed by chance constrained programming problem, which is a deterministic nonlinear programming problem (NLPP) model.
Finally this NLPP is solved by using LINGO software.
To validate and to demonstrate the results of the proposed model, numerical examples are given.
American Psychological Association (APA)
Sahoo, Anuradha& Dash, J. K.. 2016. A Novel Method for Optimal Solution of Fuzzy Chance Constraint Single-Period Inventory Model. Advances in Fuzzy Systems،Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1095048
Modern Language Association (MLA)
Sahoo, Anuradha& Dash, J. K.. A Novel Method for Optimal Solution of Fuzzy Chance Constraint Single-Period Inventory Model. Advances in Fuzzy Systems No. 2016 (2016), pp.1-10.
https://search.emarefa.net/detail/BIM-1095048
American Medical Association (AMA)
Sahoo, Anuradha& Dash, J. K.. A Novel Method for Optimal Solution of Fuzzy Chance Constraint Single-Period Inventory Model. Advances in Fuzzy Systems. 2016. Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1095048
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1095048