An Analysis of Modeling and Optimization Production Cost Through Fuzzy Linear Programming Problem with Symmetric and Right Angle Triangular Fuzzy Number

被引:39
作者
Chandrawat, Rajesh Kumar [1 ]
Kumar, Rakesh [1 ]
Garg, B. P. [2 ]
Dhiman, Gaurav [3 ]
Kumar, Sumit [1 ]
机构
[1] Lovely Profess Univ, Dept Math, Jalandhar, India
[2] IK Gujral Punjab Tech Univ, Dept Math, Jalandhar, India
[3] Thapar Univ, Dept Comp Sci & Engn, Patiala, Punjab, India
来源
PROCEEDINGS OF SIXTH INTERNATIONAL CONFERENCE ON SOFT COMPUTING FOR PROBLEM SOLVING (SOCPROS 2016), VOL 1 | 2017年 / 546卷
关键词
Fuzzy linear programming; Ranking; Trapezoidal fuzzy number; Optimization; SYSTEMS; SETS;
D O I
10.1007/978-981-10-3322-3_18
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The main objective of this paper is to do the modeling and optimization of production cost of RCF kapurthala using TFLPP-(s, l, r) and triangular (Right angle) fuzzy linear programming problem. The total costs of the different constrains are vacillating or uncertain, so to minimize the production cost, fuzzy LPP (right angle triangular) and TFPP-(s, l, r) model are used. Owing to probabilistic increments in the availability of different constrains, the actual cost of production is to leading the destruction. Here the situational based Fuzzy model is being expressed to mitigate the destruction in the cost optimization and examining the credibility of optimized value. The data of RCF Kapurthala constitutes the production cost of different coaches from the year 2009-10. The total cost has been targeted to optimize with respect to the constraints of Labor cost, Material cost, Administrative overhead charges, Factory overhead charges, Township overhead charges, Shop overhead charges and Performa charges. The lower and upper bound have been calculated using TFLPP-(s, l, r), TFLPP-(s, l), TFLPP-(s, r) and TFLPP-(s) for the objective function of the optimized fuzzy LPP. This optimized fuzzy LPP will provide the membership grade for the optimized production cost.
引用
收藏
页码:197 / 211
页数:15
相关论文
共 17 条
[1]  
Chakraborty D., 2014, INT J ENG MATH, DOI 10.1155/2014/593185
[2]  
De PK, 2012, INT CONF INTELL SYST, P184, DOI 10.1109/ISDA.2012.6416534
[3]   A novel method for solving linear programming problems with symmetric trapezoidal fuzzy numbers [J].
Ebrahimnejad, Ali ;
Tavana, Madjid .
APPLIED MATHEMATICAL MODELLING, 2014, 38 (17-18) :4388-4395
[4]   Fuzzy linear programs with trapezoidal fuzzy numbers [J].
Ganesan, K ;
Veeramani, P .
ANNALS OF OPERATIONS RESEARCH, 2006, 143 (01) :305-315
[5]   A new generalized improved score function of interval-valued intuitionistic fuzzy sets and applications in expert systems [J].
Garg, Harish .
APPLIED SOFT COMPUTING, 2016, 38 :988-999
[6]   A novel approach for analyzing the behavior of industrial systems using weakest t-norm and intuitionistic fuzzy set theory [J].
Garg, Harish .
ISA TRANSACTIONS, 2014, 53 (04) :1199-1208
[7]  
Garg Harish, 2016, P NATL ACAD SCI IN A, P1
[8]  
Gasimov R.R., 2002, Turk. J. Math, V26, P375
[9]   Fuzzy arithmetic with requisite constraints [J].
Klir, GJ .
FUZZY SETS AND SYSTEMS, 1997, 91 (02) :165-175
[10]  
Lodwick WA., 2005, Fuzzy Optim. Decis. Making, V4, P257