[Home ] [Archive]    
:: Main :: About :: Current Issue :: Archive :: Search :: Submit :: Registration ::
Main Menu
Home::
Journal Information::
Articles archive::
Submission Instruction::
Registration::
Submit article::
Site Facilities::
Contact us::
::
Google Scholar

Citation Indices from GS

AllSince 2019
Citations93654169
h-index127
i10-index146

Search in website

Advanced Search
Receive site information
Enter your Email in the following box to receive the site news and information.
:: Volume 11, Issue 2 (2-2020) ::
IJOR 2020, 11(2): 1-23 Back to browse issues page
A two-stage multi- parametric model for solving Animal Diet Formulation with Floating Price based on a fuzzy flexible linear programming model
S. Hadi Nasseri * , Roghaye Chameh , Mohammad Mahdi Paydar
University of Mazandaran, Babolsar , nhadi57@gmail.com
Abstract:   (5026 Views)
New concepts of -feasibility and -efficiency of solutions for fuzzy mathematical programming problems are used, where  is a vector of distinct satisfaction degrees. Recently, a special kind of fuzzy mathematical programming entitled Fuzzy Flexible Linear programming (FFLP) is attracted many interests. Using the mentioned concepts, we propose a two-phase approach to solve FFLP. In the first phase, the original FFLP problem converts it to a Multi-Parametric Linear Programing (MPLP) problem, and then in phase II using the convenient optimal solution with the higher feasibility degree is concluded. Using this concept, we have solved the problem of the animal diet. In the process of milk production, the highest cost relates to animal feed. Based on reports provided by the experts, around seventy percent of dairy livestock costs included feed costs. In order to minimize the total price of livestock feed, according to the limits of feed sources in each region or season, and also the transportation and maintenance costs and ultimately milk price reduction, optimization of the livestock nutrition program is an essential issue. Because of the uncertainty and lack of precision in the optimal food ration done with existing methods based on linear programming, there is a need to use appropriate methods to meet this purpose. Therefore, in this study formulation of completely mixed nutrient diets of dairy cows is done by using a fuzzy linear programming in early lactation. Application of fuzzy optimization method and floating price make it possible to formulate and change the completely mixed diets with adequate safety margins. Therefore, applications of fuzzy methods in feed rations of dairy cattle are recommended to optimize the diets. Obviously, it would be useful to design suitable software, which provides the possibility of using floating prices to set feed rations by the use of fuzzy optimization method.
Keywords: Fuzzy linear programming, Feasibility and efficiency, Fuzzy flexible linear programming, Diet, Floating price.
Full-Text [PDF 649 kb]   (5360 Downloads)    
Type of Study: Original | Subject: Mathematical Modeling and Applications of OR
Received: 2020/06/5 | Accepted: 2020/11/17 | Published: 2020/11/17
Send email to the article author

Add your comments about this article
Your username or Email:

CAPTCHA


XML     Print



Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Volume 11, Issue 2 (2-2020) Back to browse issues page
مجله انجمن ایرانی تحقیق در عملیات Iranian Journal of Operations Research
Persian site map - English site map - Created in 0.05 seconds with 39 queries by YEKTAWEB 4660