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A novel approach to optimize the production cost of railway coaches of India using situational-based composite triangular and trapezoidal fuzzy LPP models
Complex & Intelligent Systems ( IF 5.8 ) Pub Date : 2021-04-27 , DOI: 10.1007/s40747-021-00313-0
Rakesh Kumar , Gaurav Dhiman , Neeraj Kumar , Rajesh Kumar Chandrawat , Varun Joshi , Amandeep Kaur

This article offers a comparative study of maximizing and modelling production costs by means of composite triangular fuzzy and trapezoidal FLPP. It also outlines five different scenarios of instability and has developed realistic models to minimize production costs. Herein, the first attempt is made to examine the credibility of optimized cost via two different composite FLP models, and the results were compared with its extension, i.e., the trapezoidal FLP model. To validate the models with real-time phenomena, the Production cost data of Rail Coach Factory (RCF) Kapurthala has been taken. The lower, static, and upper bounds have been computed for each situation, and then systems of optimized FLP are constructed. The credibility of each model of composite-triangular and trapezoidal FLP concerning all situations has been obtained, and using this membership grade, the minimum and the greatest minimum costs have been illustrated. The performance of each composite-triangular FLP model was compared to trapezoidal FLP models, and the intense effects of trapezoidal on composite fuzzy LPP models are investigated.



中文翻译:

使用基于情境的复合三角和梯形模糊LPP模型来优化印度铁路客车生产成本的新方法

本文提供了通过复合三角模糊和梯形FLPP最大化和建模生产成本的比较研究。它还概述了五种不同的不稳定情况,并开发了逼真的模型以最大程度地降低生产成本。在此,我们首先尝试通过两个不同的复合FLP模型来检验优化成本的可信度,并将结果与​​它的扩展形式(即梯形FLP模型)进行比较。为了验证具有实时现象的模型,已获取了Kapurthala铁路客车厂(RCF)的生产成本数据。已针对每种情况计算了下限,静态和上限,然后构建了优化的FLP系统。已经获得了针对所有情况的复合三角形和梯形FLP每种模型的可信度,并使用此会员等级说明了最低和最高的最低费用。将每个复合三角形FLP模型的性能与梯形FLP模型进行了比较,并研究了梯形对复合模糊LPP模型的强烈影响。

更新日期:2021-04-28
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