modeling and simulation
Mohammad Reza Atefi; Reza Radfar; Ezzatollah Asgharizadeh
Abstract
Purpose – Organization managers tend to use an optimal and precise method to evaluate the performance of their organization by understanding the organization dynamics. The immediate research goal was to propose a dynamic model for the performance evaluation of a LARG supply chain with the balanced ...
Read More
Purpose – Organization managers tend to use an optimal and precise method to evaluate the performance of their organization by understanding the organization dynamics. The immediate research goal was to propose a dynamic model for the performance evaluation of a LARG supply chain with the balanced scorecard (BSC) approach. Design/methodology/approach – In this study, dynamic simulations are carried out for the performance evaluation of a supply chain. At first, a strategy map was designed, and measures are identified for each strategic objective considering the LARG supply chain measures. Afterward, a quantitative dynamic model was designed to identify the mathematical relationships among them. Findings – The proposed model is implemented in a company operating in the automotive industry. Based on the company’s strategic objectives, scenarios were designed and analyzed to evaluate the performance of the LARG supply chain with the balanced scorecard approach. Research limitations/implications – The BSC- based LARG supply chain evaluation has been studied for the auto part manufacturer sector. The different industry may lead to different results as the model designed important in each sector may differ as well as how each model is designed.Originality/value – The dynamic model enables managers to identify the determinants of the supply chain performance and set the scene for the necessary decisions by analyzing the possible scenarios in advance.
Moslem Peymany Foroushany; Amir Hossein Erza; maryam hamidizadeh; Mahdi Asgharzadeh
Abstract
The formation of the optimum portfolio based on risk and return is one of the most important decisions of investors in financial markets, for which there are various methods. Markowitz’s Mean-Variance method was the first method introduced in this area; but because of the normality assumption for ...
Read More
The formation of the optimum portfolio based on risk and return is one of the most important decisions of investors in financial markets, for which there are various methods. Markowitz’s Mean-Variance method was the first method introduced in this area; but because of the normality assumption for the return distribution function, it only considered specific characteristics (expected return and variance) of the return distribution function. Another method introduced years later was the Stochastic Dominance method which considers all of the return distribution function instead of specific characteristics such as variance. The present research investigates the “Stochastic Dominance method” in portfolio optimization and compares the performance of this method with “Markowitz Portfolio Optimization method” using performance evaluation criteria in the Tehran Stock Exchange. The performance evaluation criteria used in this article are: Sharpe, Treynor, Sortino and Omega. The results of this research indicate the advantage of Second Order Stochastic Dominance method on the Markowitz method in out-of-sample and in-sample approaches. Moreover the Second Order Stochastic Dominance method has a higher cumulative return than the Markowitz method.
Nasser Shahsavari-Pour; Hosein Kazemi; Morteza Hoseinzadeh; Daryoosh Maheri; shahla heydarbeigi
Abstract
Nowadays, one of the basic problems of organizations, in establishing the system of performance evaluation, is to identify the key indicators. In recent years, among the valuation models and performance, it has been more attention to the balanced scorecard; but many of the balanced assessment projects ...
Read More
Nowadays, one of the basic problems of organizations, in establishing the system of performance evaluation, is to identify the key indicators. In recent years, among the valuation models and performance, it has been more attention to the balanced scorecard; but many of the balanced assessment projects face up to fail in action. The most important reasons behind the failure in the establishment of a weak balanced assessment is in the selection of the appropriate key indicators. Hence, this study tried to applying an appropriate method for providing a model for the selection of the performance appropriate key indicators by the help of the modified balanced scorecard model and the use of a linear programming and the Operating consequences of this approach will present as a case at Commercial Company in Kerman. This study is an applied research, its method is descriptive – analytic one. The population included 71 members of the technical staff of projects and storage installations of state Commercial Company in Kerman that 10 members were the managers of the company.
Saber Shiripour; Ameneh Adib
Abstract
Supply chain is a network consists of several parts and their inter-relationships. To achieve continuous improvement in supply chain, it is necessary to continually evaluate supply chain performance. One of the important points in evaluating the performance, identify weaknesses subunits, considering ...
Read More
Supply chain is a network consists of several parts and their inter-relationships. To achieve continuous improvement in supply chain, it is necessary to continually evaluate supply chain performance. One of the important points in evaluating the performance, identify weaknesses subunits, considering the relations between the units in system management and balance between the sectors. In this paper, Network Data Envelopment Analysis technique is used for performance evaluation. Identification of inefficient units in the supply chain and improve their performance is of utmost importance. Since the supply chain is made up of different units, improving several unit is impossible. So, setting priorities is necessary to improve the unit. In addition, the selection of Pattern units is important to get an idea on how to improve inefficient units. So, in this work, using Fuzzy Data, a systematic method is defined for benchmarking supply chain, which in addition to evaluating the performance of the entire supply chain and determine efficient and inefficient decision making units, the efficiency of each of the parts of the supply chain is also calculated. This method is used for performance evaluation of the supply chains of Polyethylene pipes and so the communications and the processes of internal wards of their supply chain is reviewed. In the end, using benchmarking technique, improvement priorities are determined for different levels of the supply chain.
Hossein Safari; Aliyeh Kazemi; Ahmad Mehrpoor Layeghi
Abstract
One of the most known subjects in management literature is performance assessment. In this paper, we have tried to provide a hybrid model in order to evaluate the performance of Iranian gas Transmission Company's operational zones. After an initial screening, due to the low number of Decision making ...
Read More
One of the most known subjects in management literature is performance assessment. In this paper, we have tried to provide a hybrid model in order to evaluate the performance of Iranian gas Transmission Company's operational zones. After an initial screening, due to the low number of Decision making units, different combination of two input and one output are defined. 6 inputs and 4 output criteria have been chosen in initial screening. Based on the experts' judgments, weights or importance of different combinations of input and output extracted using SWARA technique. Then, based on the 22 different combinations, we calculated operational zones efficiency using DEA in the form of CCR and BCC models. In fact for each combination of two input and one output, efficiency for each operational zone has been calculated. Finally, there has been a decision matrix which its’ criteria were equal to different combinations of input and output criteria and their weights gained by SWARA and scores within the matrix were equal to taken efficiency from DEA. In order to calculate final efficiency and prioritizing each operational zone WASPAS technique is used. We use Cohen's kappa coefficient in order to prioritizing validation. The results show that zones 10, 7 and 6 with the highest efficiencies can be appropriate pattern for other zones in resource saving
Alireza Alinezhad
Abstract
In the last decade, despite the extra importance of service and its increasing development in global and national economies, it has received less attention in comparison with manufacturing industries. The evaluation of performance in service organizations has always been one of the main challenges in ...
Read More
In the last decade, despite the extra importance of service and its increasing development in global and national economies, it has received less attention in comparison with manufacturing industries. The evaluation of performance in service organizations has always been one of the main challenges in this area. Parasuraman and colleagues’ five dimensional model is one of the most common models to evaluate the quality of service and was used in this paper to evaluate the service quality in CNG stations in Zanjan Province. In this paper, the Data Envelopment Analysis (DEA) was also used to assess the relative service quality in 36 CNG stations in Zanjan province. Due to the high importance of service quality, it was considered as the functional output of CNG Refueling Stations. The number of employees, number of dispensers, fixed monthly cost, and monthly allocated credit to stations were considered as functional inputs of CNG stations. After obtaining the station’s rank, finally, the sensitivity of results was analyzed using the proposed method of Jahanshahlu and colleagues. Also, the results showed that the developed model of multi criteria data envelopment analysis has better performance than basic models.
Seyed hadi Mirghaderi; Akbar Alam Tabriz; Hassan Farsigani,; Farhad Farzad
Volume 13, Issue 38 , October 2015, , Pages 1-25
Abstract
Industrial clusters are one of the new approaches in industrial development of developing countries which has recently attracted the attention of many researchers and policy makers.Clustering has positive economic effects on the region and also increase the competitiveness of the small and medium enterprises ...
Read More
Industrial clusters are one of the new approaches in industrial development of developing countries which has recently attracted the attention of many researchers and policy makers.Clustering has positive economic effects on the region and also increase the competitiveness of the small and medium enterprises (SMEs).But success level of all clusters is not the same because their performances are different. The subject of clusters performance has various aspects and contains a wide range of result areas. This is due to cross-organizational nature and complexity of the internal functions and external effects of cluster as a comprehensive model of industrial cluster performance dimensions have not been presented so far.Precise definition of performance dimensions can reduce (part view) which is based on point of view to clusters and also study of cluster development proceedings with comprehensive approach can be applicable. This study aims to identify the performance dimensions of industrial clusters by classifying the performance measures of industrial clusters and present a model for comprehensive evaluation of industrial clusters performance. For data analysis the method used in this study is cluster analysis which integrated the Classifications of 31 experts used heuristic method and based on that, four performance dimensions of industrial clusters including financial, competitive, economic and environmental along with components and measures of each were extracted.
Payam Hanafizedeh; Hamid Reza Rasekh; Mohamad Hosein Mirsalehian
Volume 10, Issue 26 , January 2012, , Pages 95-122
Abstract
Up to now, many efforts have been done for creation of an enterpriseperformance measurement model by researchers and organization,nevertheless the problem is neglected performance value. Theperformance of functional and processes should be seen in organizationat the same time. In this study retrospective ...
Read More
Up to now, many efforts have been done for creation of an enterpriseperformance measurement model by researchers and organization,nevertheless the problem is neglected performance value. Theperformance of functional and processes should be seen in organizationat the same time. In this study retrospective research of performance wasdone and proposes a cross process/function oriented performancesmeasurement model. This model able to measure both values fromfunctional and processes performance in organization.In order to accomplish this, in the first step all process and functions inpharmaceutical industry were established according to literature review.The second step was field study with help of experts to find the mosteffective processes and functions. This is followed by define key factorsand critical success factor with respect to every process or function frompast researches.
Yaser Samimi; Abdollah Aghaie
Volume 3, Issue 10 , September 2005, , Pages 1-23
Abstract
In order to evaluate and estimate the success of knowledge management systems it is necessary to define performance measurement indices. Considering this importance area a research has been done to measure the efficiency and effectiveness of knowledge management systems. In addition the issue of how ...
Read More
In order to evaluate and estimate the success of knowledge management systems it is necessary to define performance measurement indices. Considering this importance area a research has been done to measure the efficiency and effectiveness of knowledge management systems. In addition the issue of how to assess the impact of knowledge management on organizational performance has been studied. Based on the research and reviewing the relevant literature in this paper a model has been presented for measuring performance of knowledge management systems. Using this model a number of indices are introduced and their interrelations are explained. At the end this paper also suggests some research areas in the field of performance measurement of knowledge management implementation.
