Amir-Mohammad Golmohammadi
Yazd University
[ 1 ] - Machine Reliability in a Dynamic Cellular Manufacturing System: A Comprehensive Approach to a Cell Layout Problem
The fundamental function of a cellular manufacturing system (CMS) is based on definition and recognition of a type of similarity among parts that should be produced in a planning period. Cell formation (CF) and cell layout design are two important steps in implementation of the CMS. This paper represents a new nonlinear mathematical programming model for dynamic cell formation that employs the ...
[ 2 ] - مکان‌یابی مراکز خدماتی با هدف بیشینه‌سازی سهم رقابتی در یک زنجیرۀ تأمین بسته
این مقاله به مدل‌سازی و حل مسئلة مکان‌یابی مراکز خدماتی و تعیین مراکز جمع‌آوری کالاها در زنجیرة تأمین حلقة بسته پرداخته است. مقالات موجود در ادبیات موضوع، معمولاً یکی از رویکردهای افزایش سود یا افزایش سهم بازار را مدنظر قرار داده‌اند، اما با توجه به پژوهش حاضر، این دو هدف ممکن است در تعارض با یکدیگر باشند. در این مقاله، هر دو رویکرد افزایش سهم بازار و افزایش سودآوری به‌صورت هم‌زمان اعمال شده‌اند...
[ 3 ] - Ranking Locations Based on Hydrogen Production from Geothermal in Iran Using the Fuzzy Moora Hybrid Approach and Expanded Entropy Weighting Method
The present study aimed at ranking and selecting the superior geothermal project for hydrogen production in 14 provinces of Iran using a multi-objective optimization fuzzy hybrid approach through analyzing the ratio (fuzzy Moora) and expanded entropy weighting method. In this research, the extended entropy weighing method and the Fuzzy-Moora approach were utilized to weigh the criteria and proj...
[ 4 ] - Implementation of Adaptive Neuro-Fuzzy Inference System (Anfis) for Performance Prediction of Fuel Cell Parameters
Fuel cells are potential candidates for storing energy in many applications; however, their implementation is limited due to poor efficiency and high initial and operating costs. The purpose of this research is to find the most influential fuel cell parameters by applying the adaptive neuro-fuzzy inference system (ANFIS). The ANFIS method is implemented to select highly influential parame...
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