Ali Yousefi | University of Isfahan (original) (raw)

Papers by Ali Yousefi

‎21st Iranian Electrical Power Distribution Networks Conference (EPDC)‎, Karaj, Iran, 26-27 April 2016‎, 2016

The electricity industry is one of the areas with the highest growth rate of service demand in th... more The electricity industry is one of the areas with the highest growth rate of service demand in the world. In our country, the approved budgets and credits allocated to the electricity industry are decreasing every year, while the capital equipment needed for it has high global inflation. If we accept that value engineering is a proven cost control tool for project managers, any effort to improve value engineering performance will serve to improve control of our projects. Geographical information systems are a powerful tool for collecting and analyzing various location data, which ultimately solve the complexities of problems related to the scarcity of resources and provide the possibility of optimizing their use. The purpose of this article is to use the spatial information system for value engineering in providing optimal designs. Based on this, first, using the GIS database, the information of the feeders is transferred to the CYMDIST software. In the next step, while analyzing the existing network in CYMDIST software, the critical points of the network are identified. Then, with the value engineering approach, project implementation ideas, value criteria and network improvement scenarios are determined at critical points. In the last step, improvement scenarios are compared using value criteria and the best scenario is selected. The optimal design of the network according to the proposed method was introduced through a real example and the technical, economic justification and return on investment in distribution networks were presented.

‎30th International Power System Conference (PSC)‎, Tehran, Iran, 23-25 November 2015‎, 2015

Units and staffs' productivity assessment and analysis has always been one of the major challenge... more Units and staffs' productivity assessment and analysis has always been one of the major challenges of economists and managers. To present the mathematical models led to improvement of performance and productivity assessment techniques. Data envelopment analysis (DEA) is one of those. In this paper, an introduction about performance and productivity assessment of decision making units (DMUs) and their role in managerial decision making is stated, firstly. Next, DEA model is explained, as well as the engineering designing and supervision units in townships branches of the Esfahan Province Electricity Distribution Co. (EPEDC). On the next stage, Customized DEA model for EPEDC is suggested, considering effective inputs and outputs of the engineering designing and supervision process. Finally, the results of the model are discussed and some improvement suggestions are provided.

2nd National Conference on Application of Geo-spatial Information System in Electricity Industry Management, Babolsar, Iran, 1-2 March 2014‎, 2014

Abstract- Ranking and selecting the best employees has always been one of the most important chal... more Abstract- Ranking and selecting the best employees has always been one of the most important challenges facing managers. Presentation of mathematical models and techniques is a turning point in improving ranking and decision-making methods. Analysis Hierarchy Process (AHP) is one of these. Geographic information system (GIS) or spatial information system together with two spatial information technologies, remote sensing (RS) and global positioning system (GPS) have created a tremendous change in the collection, storage, management and analysis of location data. In this article, an introduction about prioritization and selection as well as spatial data and their role in decision-making in the field and environmental fields has been explained, after that the process of hierarchical analysis and also the issue of ranking of electricity meter reading agents has been explained. Is. Then, the indicators are determined, the hierarchical model of the problem is drawn, and the options are evaluated. At the end, the results have been discussed and sensitivity analysis.

2nd National Conference on Application of Geo-spatial Information System in Electricity Industry Management, Babolsar, Iran, 1-2 March 2014‎, 2014

Evaluating and analyzing the productivity of units and employees has always been one of the most ... more Evaluating and analyzing the productivity of units and employees has always been one of the most important challenges facing managers and economists. Presentation of mathematical models is a turning point in improving performance and productivity evaluation techniques. The Data Envelopment Analysis (DEA) model is one of these. Geographic Information System (GIS) together with two spatial information technologies, Remote Sensing (RS) and Global Positioning System (GPS) have created a tremendous change in the collection, storage, management and analysis of location data. In this article, firstly, an introduction about the evaluation of productivity and performance of decision-making units (DMUs) as well as spatial data and their role in decision-making in the field and environmental fields is explained, after that, the description of data envelopment analysis and We have also addressed the issue of collecting electricity consumption data. Considering the factors affecting the efficiency of data collection operations in Isfahan Province Electricity Distribution Company, including inputs, outputs and environmental factors, DEA model according to Isfahan Province Electricity Distribution Company has been presented. At the end, the results have been discussed and analyzed and suggestions for improvement have been presented.

CIRED - Open Access Proceedings Journal, 2017

This study is presented as an integrated model that increases energy efficiency via consumers’ en... more This study is presented as an integrated model that increases energy efficiency via consumers’ engagement. Moreover, the model has revolutionised some essential functions of electric utilities–billing, after-sale services, synchronising–and has led to decreased expenses of the functions dramatically. In return, utilities have offered rewards and discounts to high-score consumers, and have performed their social responsibilities more targeted. The methodology that is powerful enough to achieve the above is gamification which is supported by big data analysis. Accordingly, a mobile application/game titled by EPEDC ELEGAME has been designed based on the gamification mechanics and other features. After a year the following results are attained: cost of the billing process decreased> 48%, energy consumption decreased by 14%, not in-person service registration by consumers increased by 62%, along with 23% fewer calls to the contact centre about the billing.

Expert Systems with Applications 37 (2010) 8543–8556, 2010

In this paper we propose an integrated model from the most important and usable Multi-Criteria De... more In this paper we propose an integrated model from the most important and usable Multi-Criteria Decision
Making (MCDM) techniques, means Analytic Hierarchy Process (AHP) and Technique for Ordering
Preference by Similarity to Ideal Solution (TOPSIS), in order to examine the improvement fields of Iran
automobile industry. A new approach, AT method, has been suggested to combine the results of two techniques
to find the final ranking. Besides, we propose a developing Data Envelopment Analysis (DEA)
model as a basis for comparing the reliability of results of the MCDM techniques, which depicts AT is
more reliable than AHP and TOPSIS. Our results have certified that safety and then price are the customers’
most important criteria for automobile selection. After comparing the internal and external products,
and ranking them based on the criteria and sub-criteria, the necessity to improve internal automobiles on
various fields has been prioritized.

Omega 37 (2009) 252, 2009

30th International Power System Conference (PSC), Tehran, Iran, 23-25 November 2015., 2015

Units and staffs’ productivity assessment and analysis has always been one of the major challenge... more Units and staffs’ productivity assessment and analysis has always been one of the major challenges of economists and managers. To present the mathematical models led to improvement of performance and productivity assessment techniques. Data envelopment analysis (DEA) is one of those. In this paper, an introduction about performance and productivity assessment of decision making units (DMUs) and their role in managerial decision making is stated, firstly. Next, DEA model is explained, as well as the engineering designing and supervision units in townships branches of the Esfahan Province Electricity Distribution Co. (EPEDC). On the next stage, Customized DEA model for EPEDC is suggested, considering effective inputs and outputs of the engineering designing and supervision process. Finally, the results of the model are discussed and some improvement suggestions are provided.

CIRED, Open Access Proc. J., 2017, Vol. 2017, Iss. 1, pp. 2740–2743, 2017

This paper has been presented an integrated model that increase energy efficiency via consumers e... more This paper has been presented an integrated model that increase energy efficiency via consumers engagement. Moreover, the model has revolutionized some essential functions of the electric utilities –billing, after sale services, synchronizing- and has led to decrease expenses of the functions dramatically. In return, utilities have offered rewards and discounts to high score consumers, and have performed their social responsibilities more targeted. The methodology that is enough powerful to achieve above, is Gamification which supported by big data analysis. Accordingly, a mobile application/game titled by EPEDC ELEGAME has been designed base on the gamification mechanics and other features. Expected results after a year are attained as follows: cost of the billing process decreased more than 48%, energy consumption decreased 14%, not in-person service registration by consumers increased 62%, along with, 23% fewer calls to contact center about the billing.

Journal of Modelling in Management, Vol. 11 Iss 1 pp. 309 - 325, 2016

Purpose – Nowadays, most of the organizations have focused through the world on Six Sigma to red... more Purpose – Nowadays, most of the organizations have focused through the world on Six Sigma to
reduce the costs, improve the productivity and enhance concerned individuals’ satisfaction, especially
customers’ satisfaction. Annually, these organizations define and execute thousands of Six Sigma
projects which involve a great deal of investments. But are all of these projects successful and do the
organizations benefit from the above advantages? How can we reduce the risk of failure in Six Sigma
projects? The first step to reduce the risk of failure in Six Sigma projects is selecting optimal ones which
have the most profits and the least expected risks.
Design/methodology/approach – In this paper, the effective criteria are recognized and defined in
selecting Six Sigma projects. Then, the analytic hierarchy process (AHP) is used to rank the results.
Then, a real example is resolved by two important techniques in decision-making process, that is the
AHPand the Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS), as well as data
envelopment analysis (DEA). The results from the above three methods are compared.
Findings – The results of this paper show that by using fewer criteria, the results from AHP and
TOPSIS are very similar. Also, the results from these techniques vary from DEA’s ones in many
aspects. So regarding the different results and the importance of criteria in selecting the Six Sigma
projects, multi-criteria decision-making (MCDM) techniques are more reliable in comparison with DEA,
because decision-maker’s point of view is more effective in MCDM techniques.
Originality/value – The paper, using a real case study, provides important new tools to enhance
decision quality in Six Sigma project selection.
Keywords Six sigma, AHP, TOPSIS, DEA, MCDM, Project selection

2014 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM 2014), Bandar Sunway, Malaysia, 9-12 December 2014, pp: 627 – 631, 2014

The first step to reduce the risk of failure in six sigma projects is selecting optimal ones whic... more The first step to reduce the risk of failure in six sigma projects is selecting optimal ones which have the most profits and the least expected risks. The main objective (question) of the current research is inspecting that if DEA is a suitable technique for selecting six sigma projects. To meet the objective, we introduce a new DEA (Data Envelopment Analysis) model to select six sigma projects. Then, we employ LDA (Linear Discriminant Analysis) to examine results validity of the proposed DEA model. A real application in electricity distribution industry is demonstrated. Base on Our findings, DEA ranking is strongly confirmed by LDA technique; hence, DEA is a proper model to select six sigma projects.

International Journal of Lean Six Sigma, 2018

Purpose – Nowadays, most of the organizations have focused through the world on Six Sigma to redu... more Purpose – Nowadays, most of the organizations have focused through the world on Six Sigma to reduce the
costs, improve the productivity and enhance concerned individuals’ satisfaction, especially customers’
satisfaction. Annually, these organizations define and execute thousands of Six Sigma projects which involve
a great deal of investments. But are all of these projects successful and do the organizations benefit from the
above advantages? The purpose of this study is to proposing a methodology to to answer this question that:
How can we reduce the risk of failure in Six Sigma projects? The first step to reduce the risk of failure in Six
Sigma projects is selecting optimal ones which have the most profits and the least expected risks.
Design/methodology/approach – First, the effective criteria are recognized and defined in selecting Six
Sigma projects. Then, a new data envelopment analysis (DEA) model is proposed for project selection process.
A real example is resolved by the presented model. Finally, the authors use linear discriminate analysis (LDA)
to examine the validity of obtained results from the proposed model.
Findings – The results show that the proposed model is a suitable tool for selecting Six Sigma Projects. The
findings demonstrate that the selected projects by suggested integrated DEA model are those confirmed by
LDA.
Originality/value – The paper, using a real case study, provides a mathematical model to enhance
decision quality in Six Sigma project selection. Applying the specific DEA model is remarkable itself, which
joined to a pioneering procedure to use LDA to validity evaluation of the results.
Keywords Six Sigma, DEA, LDA, Project selecting

Conference Presentations by Ali Yousefi

21st Electrical Power Distribution Conference, May 2016 , Karaj- Alborz- Iran, 2016

Abstract— Inventory planning and Control is one of the most important processes of the electricit... more Abstract— Inventory planning and Control is one of the
most important processes of the electricity distribution
companies (DSOs), because of its impact to the time of service
presenting. Hence, Inventory Control and Management have a
meaningful relationship with customer satisfaction. The most
sensitive and important equipment to provide services for
customer, is the meter. The current paper presents an
interactive integrative framework of Radio Frequency
Identification (RFID) technology and Geospatial Information
System (GIS) to control and provide real-time online
information about the inventory of the meters in stores of the
Esfahan Province Electricity Distribution Co. (EPEDC), where
include the province central store and 23 counties’ stores. The
RFID system is composed of RFID tags embedded in the meters
by the manufacturer and RFID readers installed at the stores’
gates. The data read by the RFID readers are sent to a
workstation for analysis and then presented on interactive maps
utilizing a GIS application. Decision makers and planners can
use this system to monitor and control the inventory of the other
critical equipments in comparison with the customers’ requests.
Keywords— GIS; RFID; Inventory planning and control;
EPEDC

24th International Conference on Electricity Distribution CIRED 2017, Glasgow, Scotland, 12-15 June 2017., 2017

This paper has been presented an integrated model that increase energy efficiency via consumers e... more This paper has been presented an integrated model that increase energy efficiency via consumers engagement. Moreover, the model has revolutionized some essential functions of the electric utilities –billing, after sale services, synchronizing- and has led to decrease expenses of the functions dramatically. In return, utilities have offered rewards and discounts to high score consumers, and have performed their social responsibilities more targeted. The methodology that is enough powerful to achieve above, is Gamification which supported by big data analysis. Accordingly, a mobile application/game titled by EPEDC ELEGAME has been designed base on the gamification mechanics and other features. Expected results after a year are attained as follows: cost of the billing process decreased more than 48%, energy consumption decreased 14%, not in-person service registration by consumers increased 62%, along with, 23% fewer calls to contact center about the billing.

‎21st Iranian Electrical Power Distribution Networks Conference (EPDC)‎, Karaj, Iran, 26-27 April 2016‎, 2016

The electricity industry is one of the areas with the highest growth rate of service demand in th... more The electricity industry is one of the areas with the highest growth rate of service demand in the world. In our country, the approved budgets and credits allocated to the electricity industry are decreasing every year, while the capital equipment needed for it has high global inflation. If we accept that value engineering is a proven cost control tool for project managers, any effort to improve value engineering performance will serve to improve control of our projects. Geographical information systems are a powerful tool for collecting and analyzing various location data, which ultimately solve the complexities of problems related to the scarcity of resources and provide the possibility of optimizing their use. The purpose of this article is to use the spatial information system for value engineering in providing optimal designs. Based on this, first, using the GIS database, the information of the feeders is transferred to the CYMDIST software. In the next step, while analyzing the existing network in CYMDIST software, the critical points of the network are identified. Then, with the value engineering approach, project implementation ideas, value criteria and network improvement scenarios are determined at critical points. In the last step, improvement scenarios are compared using value criteria and the best scenario is selected. The optimal design of the network according to the proposed method was introduced through a real example and the technical, economic justification and return on investment in distribution networks were presented.

‎30th International Power System Conference (PSC)‎, Tehran, Iran, 23-25 November 2015‎, 2015

Units and staffs' productivity assessment and analysis has always been one of the major challenge... more Units and staffs' productivity assessment and analysis has always been one of the major challenges of economists and managers. To present the mathematical models led to improvement of performance and productivity assessment techniques. Data envelopment analysis (DEA) is one of those. In this paper, an introduction about performance and productivity assessment of decision making units (DMUs) and their role in managerial decision making is stated, firstly. Next, DEA model is explained, as well as the engineering designing and supervision units in townships branches of the Esfahan Province Electricity Distribution Co. (EPEDC). On the next stage, Customized DEA model for EPEDC is suggested, considering effective inputs and outputs of the engineering designing and supervision process. Finally, the results of the model are discussed and some improvement suggestions are provided.

2nd National Conference on Application of Geo-spatial Information System in Electricity Industry Management, Babolsar, Iran, 1-2 March 2014‎, 2014

Abstract- Ranking and selecting the best employees has always been one of the most important chal... more Abstract- Ranking and selecting the best employees has always been one of the most important challenges facing managers. Presentation of mathematical models and techniques is a turning point in improving ranking and decision-making methods. Analysis Hierarchy Process (AHP) is one of these. Geographic information system (GIS) or spatial information system together with two spatial information technologies, remote sensing (RS) and global positioning system (GPS) have created a tremendous change in the collection, storage, management and analysis of location data. In this article, an introduction about prioritization and selection as well as spatial data and their role in decision-making in the field and environmental fields has been explained, after that the process of hierarchical analysis and also the issue of ranking of electricity meter reading agents has been explained. Is. Then, the indicators are determined, the hierarchical model of the problem is drawn, and the options are evaluated. At the end, the results have been discussed and sensitivity analysis.

2nd National Conference on Application of Geo-spatial Information System in Electricity Industry Management, Babolsar, Iran, 1-2 March 2014‎, 2014

Evaluating and analyzing the productivity of units and employees has always been one of the most ... more Evaluating and analyzing the productivity of units and employees has always been one of the most important challenges facing managers and economists. Presentation of mathematical models is a turning point in improving performance and productivity evaluation techniques. The Data Envelopment Analysis (DEA) model is one of these. Geographic Information System (GIS) together with two spatial information technologies, Remote Sensing (RS) and Global Positioning System (GPS) have created a tremendous change in the collection, storage, management and analysis of location data. In this article, firstly, an introduction about the evaluation of productivity and performance of decision-making units (DMUs) as well as spatial data and their role in decision-making in the field and environmental fields is explained, after that, the description of data envelopment analysis and We have also addressed the issue of collecting electricity consumption data. Considering the factors affecting the efficiency of data collection operations in Isfahan Province Electricity Distribution Company, including inputs, outputs and environmental factors, DEA model according to Isfahan Province Electricity Distribution Company has been presented. At the end, the results have been discussed and analyzed and suggestions for improvement have been presented.

CIRED - Open Access Proceedings Journal, 2017

This study is presented as an integrated model that increases energy efficiency via consumers’ en... more This study is presented as an integrated model that increases energy efficiency via consumers’ engagement. Moreover, the model has revolutionised some essential functions of electric utilities–billing, after-sale services, synchronising–and has led to decreased expenses of the functions dramatically. In return, utilities have offered rewards and discounts to high-score consumers, and have performed their social responsibilities more targeted. The methodology that is powerful enough to achieve the above is gamification which is supported by big data analysis. Accordingly, a mobile application/game titled by EPEDC ELEGAME has been designed based on the gamification mechanics and other features. After a year the following results are attained: cost of the billing process decreased> 48%, energy consumption decreased by 14%, not in-person service registration by consumers increased by 62%, along with 23% fewer calls to the contact centre about the billing.

Expert Systems with Applications 37 (2010) 8543–8556, 2010

In this paper we propose an integrated model from the most important and usable Multi-Criteria De... more In this paper we propose an integrated model from the most important and usable Multi-Criteria Decision
Making (MCDM) techniques, means Analytic Hierarchy Process (AHP) and Technique for Ordering
Preference by Similarity to Ideal Solution (TOPSIS), in order to examine the improvement fields of Iran
automobile industry. A new approach, AT method, has been suggested to combine the results of two techniques
to find the final ranking. Besides, we propose a developing Data Envelopment Analysis (DEA)
model as a basis for comparing the reliability of results of the MCDM techniques, which depicts AT is
more reliable than AHP and TOPSIS. Our results have certified that safety and then price are the customers’
most important criteria for automobile selection. After comparing the internal and external products,
and ranking them based on the criteria and sub-criteria, the necessity to improve internal automobiles on
various fields has been prioritized.

Omega 37 (2009) 252, 2009

30th International Power System Conference (PSC), Tehran, Iran, 23-25 November 2015., 2015

Units and staffs’ productivity assessment and analysis has always been one of the major challenge... more Units and staffs’ productivity assessment and analysis has always been one of the major challenges of economists and managers. To present the mathematical models led to improvement of performance and productivity assessment techniques. Data envelopment analysis (DEA) is one of those. In this paper, an introduction about performance and productivity assessment of decision making units (DMUs) and their role in managerial decision making is stated, firstly. Next, DEA model is explained, as well as the engineering designing and supervision units in townships branches of the Esfahan Province Electricity Distribution Co. (EPEDC). On the next stage, Customized DEA model for EPEDC is suggested, considering effective inputs and outputs of the engineering designing and supervision process. Finally, the results of the model are discussed and some improvement suggestions are provided.

CIRED, Open Access Proc. J., 2017, Vol. 2017, Iss. 1, pp. 2740–2743, 2017

This paper has been presented an integrated model that increase energy efficiency via consumers e... more This paper has been presented an integrated model that increase energy efficiency via consumers engagement. Moreover, the model has revolutionized some essential functions of the electric utilities –billing, after sale services, synchronizing- and has led to decrease expenses of the functions dramatically. In return, utilities have offered rewards and discounts to high score consumers, and have performed their social responsibilities more targeted. The methodology that is enough powerful to achieve above, is Gamification which supported by big data analysis. Accordingly, a mobile application/game titled by EPEDC ELEGAME has been designed base on the gamification mechanics and other features. Expected results after a year are attained as follows: cost of the billing process decreased more than 48%, energy consumption decreased 14%, not in-person service registration by consumers increased 62%, along with, 23% fewer calls to contact center about the billing.

Journal of Modelling in Management, Vol. 11 Iss 1 pp. 309 - 325, 2016

Purpose – Nowadays, most of the organizations have focused through the world on Six Sigma to red... more Purpose – Nowadays, most of the organizations have focused through the world on Six Sigma to
reduce the costs, improve the productivity and enhance concerned individuals’ satisfaction, especially
customers’ satisfaction. Annually, these organizations define and execute thousands of Six Sigma
projects which involve a great deal of investments. But are all of these projects successful and do the
organizations benefit from the above advantages? How can we reduce the risk of failure in Six Sigma
projects? The first step to reduce the risk of failure in Six Sigma projects is selecting optimal ones which
have the most profits and the least expected risks.
Design/methodology/approach – In this paper, the effective criteria are recognized and defined in
selecting Six Sigma projects. Then, the analytic hierarchy process (AHP) is used to rank the results.
Then, a real example is resolved by two important techniques in decision-making process, that is the
AHPand the Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS), as well as data
envelopment analysis (DEA). The results from the above three methods are compared.
Findings – The results of this paper show that by using fewer criteria, the results from AHP and
TOPSIS are very similar. Also, the results from these techniques vary from DEA’s ones in many
aspects. So regarding the different results and the importance of criteria in selecting the Six Sigma
projects, multi-criteria decision-making (MCDM) techniques are more reliable in comparison with DEA,
because decision-maker’s point of view is more effective in MCDM techniques.
Originality/value – The paper, using a real case study, provides important new tools to enhance
decision quality in Six Sigma project selection.
Keywords Six sigma, AHP, TOPSIS, DEA, MCDM, Project selection

2014 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM 2014), Bandar Sunway, Malaysia, 9-12 December 2014, pp: 627 – 631, 2014

The first step to reduce the risk of failure in six sigma projects is selecting optimal ones whic... more The first step to reduce the risk of failure in six sigma projects is selecting optimal ones which have the most profits and the least expected risks. The main objective (question) of the current research is inspecting that if DEA is a suitable technique for selecting six sigma projects. To meet the objective, we introduce a new DEA (Data Envelopment Analysis) model to select six sigma projects. Then, we employ LDA (Linear Discriminant Analysis) to examine results validity of the proposed DEA model. A real application in electricity distribution industry is demonstrated. Base on Our findings, DEA ranking is strongly confirmed by LDA technique; hence, DEA is a proper model to select six sigma projects.

International Journal of Lean Six Sigma, 2018

Purpose – Nowadays, most of the organizations have focused through the world on Six Sigma to redu... more Purpose – Nowadays, most of the organizations have focused through the world on Six Sigma to reduce the
costs, improve the productivity and enhance concerned individuals’ satisfaction, especially customers’
satisfaction. Annually, these organizations define and execute thousands of Six Sigma projects which involve
a great deal of investments. But are all of these projects successful and do the organizations benefit from the
above advantages? The purpose of this study is to proposing a methodology to to answer this question that:
How can we reduce the risk of failure in Six Sigma projects? The first step to reduce the risk of failure in Six
Sigma projects is selecting optimal ones which have the most profits and the least expected risks.
Design/methodology/approach – First, the effective criteria are recognized and defined in selecting Six
Sigma projects. Then, a new data envelopment analysis (DEA) model is proposed for project selection process.
A real example is resolved by the presented model. Finally, the authors use linear discriminate analysis (LDA)
to examine the validity of obtained results from the proposed model.
Findings – The results show that the proposed model is a suitable tool for selecting Six Sigma Projects. The
findings demonstrate that the selected projects by suggested integrated DEA model are those confirmed by
LDA.
Originality/value – The paper, using a real case study, provides a mathematical model to enhance
decision quality in Six Sigma project selection. Applying the specific DEA model is remarkable itself, which
joined to a pioneering procedure to use LDA to validity evaluation of the results.
Keywords Six Sigma, DEA, LDA, Project selecting

21st Electrical Power Distribution Conference, May 2016 , Karaj- Alborz- Iran, 2016

Abstract— Inventory planning and Control is one of the most important processes of the electricit... more Abstract— Inventory planning and Control is one of the
most important processes of the electricity distribution
companies (DSOs), because of its impact to the time of service
presenting. Hence, Inventory Control and Management have a
meaningful relationship with customer satisfaction. The most
sensitive and important equipment to provide services for
customer, is the meter. The current paper presents an
interactive integrative framework of Radio Frequency
Identification (RFID) technology and Geospatial Information
System (GIS) to control and provide real-time online
information about the inventory of the meters in stores of the
Esfahan Province Electricity Distribution Co. (EPEDC), where
include the province central store and 23 counties’ stores. The
RFID system is composed of RFID tags embedded in the meters
by the manufacturer and RFID readers installed at the stores’
gates. The data read by the RFID readers are sent to a
workstation for analysis and then presented on interactive maps
utilizing a GIS application. Decision makers and planners can
use this system to monitor and control the inventory of the other
critical equipments in comparison with the customers’ requests.
Keywords— GIS; RFID; Inventory planning and control;
EPEDC

24th International Conference on Electricity Distribution CIRED 2017, Glasgow, Scotland, 12-15 June 2017., 2017

This paper has been presented an integrated model that increase energy efficiency via consumers e... more This paper has been presented an integrated model that increase energy efficiency via consumers engagement. Moreover, the model has revolutionized some essential functions of the electric utilities –billing, after sale services, synchronizing- and has led to decrease expenses of the functions dramatically. In return, utilities have offered rewards and discounts to high score consumers, and have performed their social responsibilities more targeted. The methodology that is enough powerful to achieve above, is Gamification which supported by big data analysis. Accordingly, a mobile application/game titled by EPEDC ELEGAME has been designed base on the gamification mechanics and other features. Expected results after a year are attained as follows: cost of the billing process decreased more than 48%, energy consumption decreased 14%, not in-person service registration by consumers increased 62%, along with, 23% fewer calls to contact center about the billing.