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

A novel approach to optimize the production cost of railway coaches of India using situational-based composite triangular and trapezoidal fuzzy LPP models

“…Fuzzy numbers are a precise form of fuzzy sets, which are signified by the membership functions with the resulting properties given by Kolesárová [21]: (a) Fuzzy set must be a normal fuzzy set, (b) must be bounded supports (c) is convex and (d) have μ A (x) that are closed for every α ∈ (0,1]. Although there exist numerous types of membership functions that fulfill the above necessities for fuzzy numbers, the triangular and trapezoids fuzzy number is the most commonly used fuzzy numbers which were explained by Lorterapong and Moselhi [21], modified by Pedrycz and Gomide [26], which have different applications of the fuzzy numbers. The standard form of fuzzy linear programming is represented by where b i is the right triangular fuzzy number represented in Fig.…”

“…Broumi S et al [57] proposed to define the shortest neutrosophic path, taking account of valued neutrosophic interval numbers, trapezoidal interval, and triangular value, for the length of the path in a network of neutrosophic numbers. Chandrawat et al [26] carried out a study on modeling and optimization Production Cost using FLP with symmetric and right-angle triangular fuzzy numbers. In this study, the right angle triangular fuzzy number has been utilized to illustrate the membership grade of the optimized fuzzy LPP.…”

Kombinasi Produksi Optimal Pada Produk Ud. Serayu Pejaten Tabanan

“…Beberapa penelitian yang mengaplikasikan linear programming untuk meminimasi total cost adalah penelitian Parlesak et al (2016), Kimutai et al (2019), Jain et al (2020), Romanova (2019), Mohd Baki & Cheng (2020), Khan & Faisal (2021), Chandrawat et al (2017), Du et al (2018), Ehmke et al (2018) dan Lauinger et al, (2016). Penelitian lainya menggunakan laba sebagai fungsi tujuan, yaitu penelitian Sadeghian & Ardehali (2016), Indah & Sari (2019), Wang et al (2018), Akpan & Iwok (2016), Krisnadewi & Setiawan (2018) dan Sudhana (2017).…”

Optimizing the Design of Airfoil and Optical Buffer Problems Using Spotted Hyena Optimizer

“…According to this theorem, the performance of one optimization algorithm for a specific set of problems does not guarantee solving other optimization problems because of their different nature. The NFL theorem allows researchers to propose some novel optimization algorithms for solving the problems in various fields [34][35][36].…”