Abdorrahman Haeri

School of Industrial Engineering, Iran University of Science & Technology, Tehran, Iran

[ 1 ] - A new approach for performance evaluation of energy-related enterprises

Oil is among the most effective and the largest industries in the world. Given that it supplies a large percentage of the world’s energy and plays a significant role in the national power and international credit of countries, it has a huge impact on our world today. Iran has  huge oil reserves, and plays a key role in the exchange of the required energy in the world. In order to improve the pe...

[ 2 ] - Proposing a quantitative approach to measure the success of energy management systems in accordance with ISO 50001: 2011 using an analytical hierarchy process (AHP)

ISO 50001: 2011 provides an integrated and systematic framework to plan, implement, operate, certify, and maintain energy management systems (EMSs). Evaluation of organizations in relation to meeting the standard requirements is performed by an auditing qualitative approach. In this research, a quantitative approach has been proposed and implemented to assess organizations and rank them based o...

[ 3 ] - Identification and assessment of training needs for employees of wind farms

In this paper, the training needs of wind farm employees have been specified, assessed and prioritized. For this purpose, first of all, the main tasks of wind farm employees have been identified. Afterwards, four criteria—including task complexity, task importance, task time duration and task frequency—have been considered to assess and prioritize tasks. In this respect, the Analytic Hierar...

[ 4 ] - Integration of Balanced Scorecard and Three- stage Data Envelopment Analysis Approaches

The Balanced Scorecard (BSC) provides an outlook of an organization’s general performance; it integrates financial perspective with other performance aspects, like learning and growth, internal processes, and customer perspectives. The momentous issue, in implementation of BSC, is the proper selection of measures. The main objective of this paper is to introduce a novel approach in an attempt t...

[ 5 ] - Analyzing and Investigating the Use of Electronic Payment Tools in Iran using Data Mining Techniques

In today's world, most financial transactions are carried out using done through electronic instruments and in the context of the Information Technology and Internet. Disregarding the application of new technologies at this field and sufficing to traditional ways, will result in financial loss and customer dissatisfaction. The aim of the present study is surveying and analyzing the use of elect...

[ 6 ] - Right Indicators of Urban Railway System: Combination of BSC and DEA Model

With the expansion of cities and ever-increasing traffic dilemma closely connected to people’s lives, public transportation has become one the essential needs of communities. Subway because of its benefits is an important part of our lives: alleviating urban transit pressure, high safety and reliability, mass transit capacity, low energy consumption, and low price. Therefore, its performance im...

[ 7 ] - Using data envelopment analysis (DEA) to improve the sales performance in Iranian agricultural clusters by utilizing business networks and business development services providers (BDSPs)

Business clusters play an important role in developing and improving the economic performance of countries and in promoting the welfare of people. Business development service providers (hereafter referred to as, BDSP) have a considerable role in providing specialized services pertinent to the conditions of active enterprises in clusters and in promoting their performance level in order to impr...

[ 8 ] - Proposing an approach to calculate headway intervals to improve bus fleet scheduling using a data mining algorithm

The growth of AVL (Automatic Vehicle Location) systems leads to huge amount of data about different parts of bus fleet (buses, stations, passenger, etc.) which is very useful to improve bus fleet efficiency. In addition, by processing fleet and passengers’ historical data it is possible to detect passenger’s behavioral patterns in different parts of the day and to use it in order to improve fle...

[ 9 ] - Investigation of effective factors in expanding electronic payment in Iran using datamining techniques

E-banking has grown dramatically with the development of ICT industry and banks offer their services to customers from different channels. Nowadays, considering the great economic benefits of electronic banking systems, the need to pay attention to the expansion of electronic banking is increasingly felt in terms of reducing costs and increasing the bank's profitability. The purpose of this stu...

[ 10 ] - Performance Evaluation of the Provinces of Iran Reading To the Measures of Freight and Passenger Transportation

Freight and passenger transport are two main functions of the infrastructure and transportation networks in each country. It is required to efficiently utilize the transportation infrastructures to increase transportation-related performance measures. In this study, data envelopment analysis (DEA) model is used to evaluate performance of the Iranian provinces from the freight and passenger tran...

[ 11 ] - Automotive Vendor's Performance Evaluation and Improvement Plan Presentation by Using a Data Envelopment Analysis

Vendors play a key role in their company's success, so having a vendor's performance evaluation system in order to identify strengths, areas of improvement and profitability in any company is essential. In this paper, first data envelopment analysis (DEA) which is a technique to evaluate the performance of decision-making units (DMUs) is studied. Then the efficiency scores of 66 automotive vend...

[ 12 ] - A Data Mining approach for forecasting failure root causes: A case study in an Automated Teller Machine (ATM) manufacturing company

Based on the findings of Massachusetts Institute of Technology, organizations’ data double every five years. However, the rate of using data is 0.3. Nowadays, data mining tools have greatly facilitated the process of knowledge extraction from a welter of data. This paper presents a hybrid model using data gathered from an ATM manufacturing company. The steps of the research are based on CRISP-D...