Operations Research
1. Modified solution for neutrosophic linear programming problems with mixed constraints

S. K. Das; J. K. Dash

Volume 9, Issue 1 , Winter 2020, , Pages 13-24

http://dx.doi.org/10.22105/riej.2020.224198.1127

Abstract
  Neutrosophic Linear Programming (NLP) issues is presently extensive applications in science and engineering. The primary commitment right now to manage the NLP problem where the coefficients are neutrosophic triangular numbers with blended requirements. The current method [20] are viewed as just imbalance ...  Read More

Operations Research
2. Multi-objective linear mathematical programming for solving U-shaped robotic assembly line balancing

M. Rabbani; A. H. Khezri; H. Farrokhi-Asl; S. Aghamohamadi-Bosjin

Volume 8, Issue 1 , Spring 2019, , Pages 1-16

http://dx.doi.org/10.22105/riej.2019.160247.1067

Abstract
  In recent years, robots have been an eminent solution for manufacturers to facilitate their process and focus on a variety of their products. As the importance of robot usages, our paper focuses on the robotics assembly line. In this paper, we have considered the cycle time, robot operational costs, ...  Read More

Operations Research
3. Developing 360 degree performance evaluation method for school teachers

M. Movafaghpour

Volume 8, Issue 1 , Spring 2019, , Pages 28-39

http://dx.doi.org/10.22105/riej.2019.169895.1074

Abstract
  The purpose of this study is to provide a proper method for evaluating performance of teachers, which leads to authorities awareness about the quality and quantity of activities that are acceptable to the organization; also creating the grounds for empowering human resources, reduction of dissatisfaction, ...  Read More

Operations Research
4. A Taghuchi based Multi Objective Time-Cost Constrained Scheduling for Resource Availability Cost Problem: A Case Study

M. Rabbani; S. Aghamohamadi; H. Farrokhi-Asl; M. Alavi mofrad

Volume 6, Issue 4 , Autumn 2017, , Pages 269-282

http://dx.doi.org/10.22105/riej.2017.96349.1008

Abstract
  In this paper, a new multi-objective time-cost constrained resource availability cost problem is proposed. The mathematical model is aimed to minimize resource availability cost by considering net present value of resource prices in order to evaluate the economic aspects of project to maximize the quality ...  Read More

Operations Research
5. Produced Water Treatment Using a New Designed Electroflotation Cell

M. A. Abdel Khalek; F. I. El-Hosiny; K. A. Selim; I. Osama

Volume 6, Issue 4 , Autumn 2017, , Pages 328-338

http://dx.doi.org/10.22105/riej.2017.100959.1022

Abstract
  A novel continuous electroflotation cell, about 0.6 liter volume capacity, using aluminum electrodes was designed for oil produced water treatment. The treating performance of a novel continuous electroflotation cell for oil produced water was investigated. The pH, current density, and feed water flow ...  Read More

Operations Research
6. A MOLFP Method for Solving Linear Fractional Programming Under Fuzzy Environment

S.K. Das; T. Mandal

Volume 6, Issue 3 , Autumn 2017, , Pages 202-213

http://dx.doi.org/10.22105/riej.2017.92950.1002

Abstract
  In this paper, a solution procedure is proposed to solve Fully Fuzzy Linear Fractional Programming (FFLFP) problem where all the variables and parameters are triangular fuzzy numbers. Here, FFLFP problem transformed into an equivalent Multi- Objective Linear Fractional Programming (MOLFP) problem. Then ...  Read More

Operations Research
7. Competition in Supply Chain Network: Retailers’ Risk Averseness Approach

H. Golpira; S. E. Najafi; M. Zandieh; S. Sadi-Nezhad

Volume 6, Issue 2 , Spring 2017, , Pages 121-128

http://dx.doi.org/10.22105/riej.2017.49171

Abstract
  This paper formulates a competitive supply chain network throughout a mixed integer linear programming problem, considering demand uncertainty and retailers risk averseness. That is, makes the model more realistic in comparison with the others. Employed conditional value at risk method through the data-driven ...  Read More