behrooz minaei; amir afsar; rahmat houshdar mahjoub
Volume 17, Issue 4 , January 2014, , Pages 1-24
Abstract
Credit institutions to provide variety of facilities to their customers, need to comprehensive studies by qualitative and quantitative aspects of their applicants. By this way, accomplish a complete evaluation of repay ability measure and calculate the refund facilities probability and finance services ...
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Credit institutions to provide variety of facilities to their customers, need to comprehensive studies by qualitative and quantitative aspects of their applicants. By this way, accomplish a complete evaluation of repay ability measure and calculate the refund facilities probability and finance services by them , these reviews generally validation name. The purpose of this study was ranking customer groups and specifies the best part of them until brokerage firm do its credit allocation process mechanically. Here, after the preprocessing of the data, they are processes in the RFM model. Then SOM neural network as one of the clustering algorithms will change customers to 10 cluster. Using the proposed model, the clusters will rank. The top clusters, identification and facilities grant operations to the members of these clusters will do. Finally, three clusters 5, 1 and 7 defines as top clusters that they are the target customers. Coefficient facilities granted to the top three clusters respectively are 0.271, 0.173 and 0.556.
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Volume 15, Issue 1 , February 2011, , Pages 1-29
Abstract
In today’s business world, human resource is concerned as fundamental capital of organizations. In fact, human resource is the chief organizational tool to achieve the strategies and goals. According to the significance of human resource, the present research aimed to develop a framework, ...
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In today’s business world, human resource is concerned as fundamental capital of organizations. In fact, human resource is the chief organizational tool to achieve the strategies and goals. According to the significance of human resource, the present research aimed to develop a framework, by which the human resource strategies can be developed on the basis of the knowledge dimension, which is one of the most important resources for generating competitive advantage. Previous models and approaches did not concern to the knowledge aspect of the employees in human resource strategy process, which is a significant lack in these models. The main difference of the framework of this research and that of previous study is paying due attention in work to the knowledge in human resource strategy development process as a determinant factor, especially for the knowledge based organizations. Indeed, the main finding of this study is development of a human resource strategy framework that emphasizes to the knowledge aspect, which is applicable in new businesses of the present era of transferring to the knowledge based organizations. For validating the suggested framework, the expert opinion, one of the research methods for conceptual studies, was used.
Sajjad Najafi; Adel Azar
Volume 15, Issue 2 , May 2011, , Pages 1-20
Abstract
Mathematical robust modeling, a modern approach in IRAN public budgeting
Abstract:
Nowadays most of resource allocation is mental, empirical and based on the old methods. So it does not have generalization ability and mathematical confirm, Hence using from quantity theory for nearing of quantitative ...
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Mathematical robust modeling, a modern approach in IRAN public budgeting
Abstract:
Nowadays most of resource allocation is mental, empirical and based on the old methods. So it does not have generalization ability and mathematical confirm, Hence using from quantity theory for nearing of quantitative and qualitative human resource is essential objective. Budgeting lows based on forecasting which always face with errors and uncertainty. These errors are Prediction errors, Measurement Errors, Implementation Errors, so mirror change cause to hesitation on optimally and feasibility for budgeting lows. Goal of this article is designing of a budgeting model in the public sector in IRAN to be able for glancing uncertainty factor which with preserving optimally and feasibility allocation area in the budget low in contorting with changing, guaranty his flexibility in the also implementation. There are different approaches for glancing of effect of uncertainty which from these approaches, we selected robust optimization approach And the model developed by using of Bertsimas & Sym model. Until on foundation of measurement convex, decision makers from situation of now and future of country, be able use from every one these robust models.
sahar nikmaram; - -; - -
Volume 16, Issue 1 , May 2012, , Pages 1-18
Abstract
Abstract
Budget process is one of the most important policy processes in every state which can be an area for using various interest groups’ power, groups that involve in bargaining process to gain further resources and profit. These influences are important for their role to hampering growth and ...
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Abstract
Budget process is one of the most important policy processes in every state which can be an area for using various interest groups’ power, groups that involve in bargaining process to gain further resources and profit. These influences are important for their role to hampering growth and creating poverty and inequality in different area of policy and economy. It was regarded in this research that, although almost all of budget process phases are appropriate for using interest groups’ power in Iran, but it seems that influences in formulation and approval phases are more appropriate.
Mehdi Bagherzadeh Niri; - -; - -
Volume 16, Issue 2 , July 2012, , Pages 1-18
Abstract
The importance of the study of Knowledge Active Forgetting (KAF) is generally described. In this paper, in order to create a comprehensive definition, different definitions of organizational forgetting and knowledge active forgetting presented in the literature, have been reviewed. In addition, key concepts ...
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The importance of the study of Knowledge Active Forgetting (KAF) is generally described. In this paper, in order to create a comprehensive definition, different definitions of organizational forgetting and knowledge active forgetting presented in the literature, have been reviewed. In addition, key concepts and characteristics that should be considered in the definition of KAF have been extracted. Based on this, concept KAF as an intentional and systematic activity is dependent on the value of knowledge manages. Then, in order to analyze the relationship between KAF and knowledge stickiness to person and organizational context, we gathered qualitative rich data by case study as one of the qualitative research methods. Based on the results of data analysis it can be expressed that by increasing stickiness of knowledge to person and organizational context, the resistance to process of KAF is increased. As a result, organization will be allocated more time and effort in order to manage old and obsolete knowledge. The results of this paper can help managers of organizations to manage their old and obsolete knowledge according to the level of knowledge stickiness to people and organizational context.
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Volume 16, Issue 3 , September 2012, , Pages 1-20
Abstract
The contribution of the service sector in the global economy is rising nowadays and organizations are the key elements of this economical sector. The customer-orientation and attempting to enhance the performance are playing a fundamental role in the organizations success and effectiveness. The present ...
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The contribution of the service sector in the global economy is rising nowadays and organizations are the key elements of this economical sector. The customer-orientation and attempting to enhance the performance are playing a fundamental role in the organizations success and effectiveness. The present study assesses the organizational effectiveness, using the structural equation modeling (SEM) statistical approach. As the main dependent variable, the organizational effectiveness has considered as a function of customer satisfaction and objectives attainment scales. Data was gathered from two customers population and managers population of the governmental banks of Dezfoul township, using two separate questionnaires. Based on the SEM approach, the 5 and 4 sub-scales of the customer satisfaction and objectives attainment scales were considered as observed variables. The same scales and the main dependent variable, effectiveness, were also defined as unobserved or latent variables and their interrelationship was then analysed constructing a second-order confirmatory factor analysis (CFA) model. Results confirmed the fitness and validity of all two measurment models for customer satisfaction and objectives attainment scales and also the second-order CFA for assessment of effectiveness, based on the gathered data. The precedence of the magnitude and significance of direct and indirect effects of the customer satisfaction and its sub-scales compared to the objectives attainment and its sub-scales on the organizational effectiveness is another part of results.
Adel Azar; Reza Jalali; farzane khosravani
Volume 17, Issue 1 , February 2013, , Pages 1-19
Abstract
Abstract Selecting a portfolio has always been a significant issue in Financial Management. The models presented for selecting the best portfolio have some deficiencies and after some time, their deficiencies would be revealed and they will be replaced by some other models. One of the problems with those ...
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Abstract Selecting a portfolio has always been a significant issue in Financial Management. The models presented for selecting the best portfolio have some deficiencies and after some time, their deficiencies would be revealed and they will be replaced by some other models. One of the problems with those models is neglecting the multifaceted indices and dimensions for final evaluation of portfolio, and these efficiencies will bring the validity of the evaluation results under question. In order to remove these efficiencies, one can use DEA (Data Envelopment Analysis) technique which is one of the MCDM (Multi-Criteria Decision Making) techniques. In this paper, two models have been presented; one finds the most efficient portfolio and the other one finds the most inefficient. In this paper, 95 companies now present in Tehran Stock Market have been investigated. The results demonstrate that out of those 95 companies, seven companies are efficient and 8 companies are utterly inefficient. Keywords: Data Envelopment Analysis, Multi-Criteria Decision Making (MCDM), Portfolio
Reza Kazemzadeh; Roohangiz Asadi; Isa Nakhaei Kamal Abadi; Zahra Bagherinejad
Volume 17, Issue 2 , May 2013, , Pages 1-18
Abstract
In this study, we developed a Joint Replenishment Problem (JRP) model; In addition, JRP was introduced through capacitated vehicle to send the parts. The model was developed as an Integer-non linear model. Cost function consists of the major ordering cost, the minor ordering cost and the holding cost. ...
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In this study, we developed a Joint Replenishment Problem (JRP) model; In addition, JRP was introduced through capacitated vehicle to send the parts. The model was developed as an Integer-non linear model. Cost function consists of the major ordering cost, the minor ordering cost and the holding cost. Previous studies had not considered transaction cost; therefore, we considered transaction cost, which depends on the number of different parts in the order. Demand for parts was considered as constant and the model was solved by using a genetic algorithm. For calculating variable, we developed the present algorithm in the literature. We solved the model for two conditions, with dispatch volume restriction and without dispatch volume restriction. The results showed that the dispatch volume increases both the cycle time and the total cost. The model was solved for one of the major manufacturers of SAPCO. We considered the problem with 12 strategic parts of this company. The model was investigated through the real data gathered from the SAPCO Company. Finally, for model validation, the results were compared with the traditional ordering system of SAPCO, in which the parts are ordered separately. It was shown that the proposed system has better performance than the traditional ordering system. Validation of Model was performed by the numerical example that has been solved in the literature. Keywords: Joint replenishment, Automotive parts, Genetic algorithm, Inventory.
alireza pooya
Volume 16, Issue 4 , January 2013, , Pages 1-18
Abstract
Production firms select and design their proper production system by attention market and resources. Production systems or production process be introduced by series of variables. The one of their most famous is product-process matrix of Hayes and wheelwright. It intoduce production process by using ...
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Production firms select and design their proper production system by attention market and resources. Production systems or production process be introduced by series of variables. The one of their most famous is product-process matrix of Hayes and wheelwright. It intoduce production process by using product adult and process adult variables. In this research, after survey previous studies, be recognized new dimentions to intoduce production systems. These dimentions defind by structural and infra-structral manufacturing decisions. A Sample with size 245 be selected from production firms in iran. Multiple discriminant analysis used to analys data. Results show that could introduce Iranian production systems on “Technology-Source” and “Quality plans”dimentions. Finnaly, represent conclutions and recommends for future researches.
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Volume 14, Issue 4 , March 2011, , Pages 1-25
Abstract
Nowadays, many organizations face with increasing competition and
uncertainty environment, supported by innovating technologies and the
changing needs of customers. In this environment, past methods in supply
chain loose their ability. One efficient method in this regard is agility. Thus,
for modeling ...
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Nowadays, many organizations face with increasing competition and
uncertainty environment, supported by innovating technologies and the
changing needs of customers. In this environment, past methods in supply
chain loose their ability. One efficient method in this regard is agility. Thus,
for modeling the agility of supply chain, a wide range of research was done
in the literature. The results of this research and interview by experts found
11 critical success factors of agile supply chain. Then these factors were
entered into a questionnaire and the experts of Zobahan Co Supply Chain
were asked to fill in it. The obtained results were analyzed by interpretive
structural modeling and the Correlations between those factors were
determined. The attained correlations indicated that development of the
employees’ skills, employment of IT and programming are the basics of
agility in supply chain. This model would help the supply chain managers in
strategic planning for improving the agility of supply chain.
Adel Azar; Moslem Alimohammadlou
Volume 11, Issue 3 , October 2007, , Pages 1-28
Abstract
Inventories exist throughout the supply chain in various forms for various reasons. Since carrying these inventories can annually cost from 20 to 40% of their value, managing them in a scientific manner to maintain minimal levels makes economic sense. This paper presents a near-optimal (s, Q)-type inventory ...
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Inventories exist throughout the supply chain in various forms for various reasons. Since carrying these inventories can annually cost from 20 to 40% of their value, managing them in a scientific manner to maintain minimal levels makes economic sense. This paper presents a near-optimal (s, Q)-type inventory policy for a multi -echelon production /distribution network with multiple non - identical suppliers. The model is a synthesis of three components: (i) the inventory analysis at the retailers, (ii) the demand process at the warehouse, and (iii) the inventory analysis at the warehouse. The key contribution of the model is the seamless integration of the three components to analyze simple supply chains. The decisions in the model were made through a comprehensive distribution-based cost framework that includes the inventory, transportation and transit components of the supply chain.
Mohammad-hossein Nabizadeh; Hosseinali Hasanpur; Ahmad Norng
Volume 18, Issue 1 , May 2014, , Pages 1-24
Abstract
Scheduling plays an important role in the development and success of the project; this has always been one of the main issues considered in operations and management science researches. Another reason for the focus of much research into it is the difficult nature of this problem. Therefore, special ...
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Scheduling plays an important role in the development and success of the project; this has always been one of the main issues considered in operations and management science researches. Another reason for the focus of much research into it is the difficult nature of this problem. Therefore, special techniques and methods have been proposed to solve this problem. On the other hand, in order to intensify sanctions on foreign delaying projects, timely completion of projects has been accelerated. Therefore, attention to project robustness subject to project managements. In this article, a real issue is scheduled for a robust scheduling model of a refinery project. Since project scheduling has resource constraints such NP-Hard problems, simulated annealing algorithm was proposed to solve this problem. In order to validate the model, 4 problems with small size were chosen and the solutions obtained by the proposed algorithms were compared with the exact solution obtained by Lingo8 software. The results showed that the proposed algorithm is efficient and convergent to the optimal solution.
mohammad akbari; Mostafa Zandieha; Behroz Dorri
Volume 17, Issue 3 , September 2013, , Pages 1-21
Abstract
The goal of this research is providing optimization approach for bi-objective scheduling work shifts and job rotation problem in order to exploit efficient performance of employees. In this article scheduling work shifts and job rotation problems had been modeled in one mathematical model with two objective ...
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The goal of this research is providing optimization approach for bi-objective scheduling work shifts and job rotation problem in order to exploit efficient performance of employees. In this article scheduling work shifts and job rotation problems had been modeled in one mathematical model with two objective functions: minimizing labor cost and maximizing number of job rotation. Also human factors (fatigue, learning and forgetting) that have effect on workers performance were modeled. Presented model was mixed integer and nonlinear and genetic algorithm and ε-constraint technique have been used to solve it and gain Pareto sets. To illustrate efficiency of provided algorithm, its performance has been compared to results of LINGO. The results indicated that performance of genetic algorithm is better than that of LINGO in terms of computational time and objective value. To relate relationship between objectives, set of problems have been solved. Obtained Pareto indicated that there is a conflict between objectives. Hence with considering human factors that have effect on workforce’s performance it is needed to plan work shifts and job rotation simultaneously. Results indicated that the proposed optimization approach is capable to provide suitable alternatives while managers try to consider decreasing cost, increasing jobs variety and multi-skilled training.
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Volume 13, Issue 4 , September 2010, , Pages 1-33
Abstract
One of the effective factors of social responsibility and achievement of organizations is considering at which values and implementing them in work settings. The important issue is the rate they constitutionalist ethical principles in the organizations and having commitment to these principles. By implementing ...
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One of the effective factors of social responsibility and achievement of organizations is considering at which values and implementing them in work settings. The important issue is the rate they constitutionalist ethical principles in the organizations and having commitment to these principles. By implementing these values, instinctive direction of individuals and the society will be directed towards the right way. Therefore, today the managers' functions such as response to social needs and the demands of fellow citizens, foreign and domestic customers and stakeholders are considered important. Commitment to social responsibility needs exercising and In this path, there is a need for self-purifications. This research was conducted in Rafsanjani Public Organizations. The results indicated that there is a positive relationship between theoretical, aesthetics, social, political and religious values roles of social responsibility. No significant relationship was found between economic values and acting roles of social responsibility.
Shaaban Elahi; Mehdi Taheri; Alireza Hassanzadeh
Volume 13, Issue 2 , June 2009, , Pages 1-22
Abstract
Information systems security (ISS) is a critical issue that organizations face world wide. Information systems security involves both technology and people (human factors). The focus in most researches on information systems’, security as a technical issue has dominated ISS researches and practices. ...
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Information systems security (ISS) is a critical issue that organizations face world wide. Information systems security involves both technology and people (human factors). The focus in most researches on information systems’, security as a technical issue has dominated ISS researches and practices.
Lately, a new paradigm is emerging, addressing it as a “people issue” and an “organizational issue”. In that paradigm, people are the weakest element in the information systems security.
The present research takes a different perspective on ISS by focusing on “behavioral information security” and with considering the general lack of empirical research and the importance of information security to modern organizations, it presents a managerial framework for explore the role of human factors in ISS. Specifically the purpose of this research was to identify and model the critical managerial constructs that mostly influence the effectiveness of ISS.
The methodology of this study combines both qualitative and quantitative research techniques. Through a qualitative technique and investigating the research literature, identified key constructs in information systems security were identified. Then developed mod was based on the effects of these constructs on the information systems’ security effectiveness. Then based on the research literature and scholars ideas, a questionnaire was developed and distributed in some organizations. The data obtained were analyzed with SPSS and LISREL software. The results of empirical analysis supported and
validated the model.
Adel Azar; Seyyed Haydar Mirfakhraddiny; Ali Asghar Anvari Rostamy
Volume 12, Issue 4 , January 2009, , Pages 1-35
Abstract
Toyday Six sigma method is known as an efficient and effective method of solving the problem.The most common methodology in six sigma is DMAIC that includes five steps: Defenition, Measurement, Analysis, Improvement and Control. One of the most important bases of six sigma methodology is the use a lot ...
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Toyday Six sigma method is known as an efficient and effective method of solving the problem.The most common methodology in six sigma is DMAIC that includes five steps: Defenition, Measurement, Analysis, Improvement and Control. One of the most important bases of six sigma methodology is the use a lot of statistical techniques and methods for data analysis and identification of the basical cause of defects. On the other hand, one of the prominences of this method comparing to the other improvement methods is the use of statistical methods so that by the use of statistical tools in analysis phase one can measure the effects of potential causes on critical factors. So far, many classifications of statistical techniques and statistical tests have been offered in the analysis phase of six sigma, Which are often divided into two parts: parametric and nonparametric. Of course, there are a lot of difficulties for using these techniques.
The aim of this research in the first sage was to recognize the inadequencies and lack of statistical tests in the analysis phase; then, to present a technique to remove the difficulties by using Multiple Attribute Decision Making in the operation research. The results of this research reveated three classes of major difficulties using the statistical tests:
1- Most of nonparametric statistical tests have less confidence and strenghth than parametric tests.Futher, they do not enjoy sufficient accurancy.
2- When the amount of the considerated data or the sample size is not large enough.
3- In some cases, no statistical tests(either parametric or nonparametric) is proportional to the conditions of six sigma research.
In this research, we reviewed the valid scientific sources available in the field of MADM (Multi Attribute Decisin Making) and the types of classification of these methods to remove defects. At the end, a new method
(algorithm) to apply MADM in the analyse phase of six sigma was developed.
The algorithm pays attention to the Decision Maker, MADM characteristics, the problem characteristics and chracteristics of the obtained solution. Applying of this
new algorithm, in the cases that statistical tests do not have sufficient strength and accurancy, can strongly increase the efficiency of six sigma methodology.
Adel Azar; Gholamreza Tavakoli; Seyyed Hamid Khodadad Hoseyni
Volume 12, Issue 1 , March 2008, , Pages 1-31
Abstract
We can call “EFQM excellence model” as a transition from the great number of different models and approaches to unity in context of organizational improvement and excellence. Doing self-assessment to find areas for improvement (AFIs) is the most important application of this model. Those organizations ...
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We can call “EFQM excellence model” as a transition from the great number of different models and approaches to unity in context of organizational improvement and excellence. Doing self-assessment to find areas for improvement (AFIs) is the most important application of this model. Those organizations which are on lower level of total quality management will encounter lots of AFIs. So finding key problems is an important challenge for them. Reviewing the literature shows that there is no specific and systematic model to solve this challenge.
We intended to introduce a mathematical screening model in order to help organizations to find their key problems. The proposed model was designed in fuzzy context, because decision making situation of most of the organizations is in vague and ambiguity.
Jalil Baharestan
Volume 8, Issue 20 , December 2004, , Pages 1-37
Abstract
The article aims at a comparative study of Islamic and Current administration. To make the subject and its aims accessible, two research questions have been put forward:
Question one: How can the assumptions, pre-requisites and the essentials of Islamic administration be distinguished from Current administration?
Question ...
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The article aims at a comparative study of Islamic and Current administration. To make the subject and its aims accessible, two research questions have been put forward:
Question one: How can the assumptions, pre-requisites and the essentials of Islamic administration be distinguished from Current administration?
Question Two: How can Islamic administration be distinguished from Current administration?
Type of Research: Fundamental and Library oriented.
Methodology: Descriptive – Analytic.
In attempting to answer the first question a brief study concerning an understanding of human nature based on the view of Islam and the other religions was carried out prior to the comparative study of Islamic administration and Current administration.
In attempting to answer the second question the following issues have been examined in the comparative study of Islamic administration and current administration:
a-Comparison of the concepts of administration and current leadership with Islamic administration concept.
b-Comparison of current administration aims with Islamic administration aims.
c-Comparison of current administration essence Islamic administration essence.
d-Comparison of current administration Prenciples and Islamic administration.
e-Brief comparison between Islamic administration and Current administration.
Anvary Rostamy Ali Asghar; Behrooz Lari Semnani
Volume 11, Issue 20 , December 2007, , Pages 1-29
Abstract
Capital markets play important roles in economic development of countries and financial policy makers are very interested to have more information about the stock markets attractiveness for investors. One of the most important questions about the stock markets is about the relationship between the attraction ...
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Capital markets play important roles in economic development of countries and financial policy makers are very interested to have more information about the stock markets attractiveness for investors. One of the most important questions about the stock markets is about the relationship between the attraction of stock market investments with out-of-stock market investments. This paper aimed at investigating the relationship between the out of stock investments (bank deposits and governmental industrial development bonds investments) with the attractiveness of investing in Tehran Stock Exchange (market liquidity and capitalization). The results, at 95% confidence level, revealed that there is a significant positive association between these two markets (monetary and capital markets). The results also implied that investment in these two markets not only is not competitive but complementary.Accordingly, it is concluded that out-of-stock market investments do not reduce stock market investment attraction. This finding is very important when investors will build up a portfolio investment in Iranian markets.
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Volume 14, Issue 2 , September 2010, , Pages 1-21
Abstract
This study attempts to investigate and analyze the impact of organizational
culture and degree of fit between university faculties on behavioral outcomes
in our case study. The basic question is that how much organizational culture
and degree of fit (mis) between university faculties and university ...
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This study attempts to investigate and analyze the impact of organizational
culture and degree of fit between university faculties on behavioral outcomes
in our case study. The basic question is that how much organizational culture
and degree of fit (mis) between university faculties and university could
influence the organizational citizenship behavior and their intention to remain
in university. This study uses the survey research method to answer the basic
question. The research population includes 393 individuals consisting of all of
the full time university faculties in Shahid Bahonar University of Kerman
(1385). Further, based on the pilot study and using stratified sampling method,
205 individuals were selected as sample. The results confirmed the impact of
person-organization fit on organizational behavior of university faculties.
Furthermore, no significant relationship between the values fit and intention to
remain, goals fit and intention to remain, and work environment fit and
organizational behavior (organizational citizenship behavior and intention to
remain), was found with 95% confidence level. Finally, the relationship
between the type of organizational culture and person-organization fit was
statistically significant.
kamran shahanaqhic; Golamreza Jalali
Volume 18, Issue 3 , September 2014, , Pages 1-24
Abstract
Abstract: One of the most important responsibilities of governments, particularly in developing countries is executing infrastructure projects. Vital need for countries to undertake these projects on one hand and the lack of financial, managerial and executive government in implementing them on the other ...
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Abstract: One of the most important responsibilities of governments, particularly in developing countries is executing infrastructure projects. Vital need for countries to undertake these projects on one hand and the lack of financial, managerial and executive government in implementing them on the other side reveals the necessity of take advantage new policies in this regard. Public and private sector partnership (ppp) is one of the most common and widely used of these policies and tendency to them over the past two decades have been increased. But the long-term nature of the projects and the rapid changes in the market led to numerous conflicts during the executive phases, so that the studies conducted, indicate that the majority of these projects have been associated with several negotiation steps. The goal of this article is to use game theory as one of the most applied scientific methods to resolve the economic disputes and provides appropriate strategy for overcoming financial problems and prevents delays in projects implementation. The model presented in this study is a kind of dynamic game with complete information and has the highest correlation (compatibility) with the real space, considers a variety of phenomena such as private contractor who seized the opportunities, money time value, and different political costs imposed to the state. Finally, the strategies to prevent conflicts and improve the administrative process have been provided in PPP.
Mostafa Hoseinnezhadi; Mahdi Azizmohammadi; Maghsoud Amiri
Volume 18, Issue 2 , July 2014, , Pages 1-24
Abstract
One of the applicable techniques which are used for modeling and solving optimization problems is response surface methodology (RSM). Response surface methodology is a collection of tools for fitting a surface to a set of data and determines optimal levels, this method used of a regression model for ...
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One of the applicable techniques which are used for modeling and solving optimization problems is response surface methodology (RSM). Response surface methodology is a collection of tools for fitting a surface to a set of data and determines optimal levels, this method used of a regression model for optimization problems Some real world problems include determining optimum values of input variables in order to obtain the desired levels of output variable (response surface variable). In this paper considering the Importance of four factors: Cooling Time, Pressure of injection, injection Speed and Heater temperature as the independent input variables for the variables of effective input factors and the response surface quantity and qualitative variable (Twin and Concurrently) in relation between input variables and response surface variables with the nonlinear regression model. Response variables would be crisp and fuzzy, for this Reason has been used of bi-level programming and fuzzy dual response surface methodology. Then the optimal value of each parameter is obtained by Meta-Heuristics algorithm (NSGA-II).
Seyyed Hamid Khodadad Hosseini; Reza Ismaeilpour
Volume 10, Issue 20 , June 2006, , Pages 1-44
Abstract
In the world today, information technology and information systems (IT/IS) are no longer as work tools or as production resources, but they are considered as new environment and work space. This new environment or work space has provided an area for great developments including a change in the method ...
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In the world today, information technology and information systems (IT/IS) are no longer as work tools or as production resources, but they are considered as new environment and work space. This new environment or work space has provided an area for great developments including a change in the method of organizing and presenting new organizational forms such as knowledge worker’s organization, network organization, virtual organization, and so on.
Regarding the effects of IT/IS on organizational structures and its dimensions, many investigations have been carried out during the last 3 decades but the findings from these studies are contradictory. On the other hand, considering the changes in the vast variety of IT/IS and changes in the applications and capabilities of IT/IS, the generalization of the last research findings has decreased in this regard. Hence, while determining the last research results, the present article has attempted to design and determine a comprehensive model for integration of the literature, regarding this issue in the theoretical field according to the new cases of IT/IS such as different information systems, internet, intranet, extranet, video conference, e-mail and so on, and to identify two adjusting variables of effects on organization structure by IT/IS. For this purpose, in order to acquire more understanding of IT/IS effects on organization structure as well as to recognize the effect of two adjusting variables on the top management leadership style and its attitude towards IT/IS on organizational structure in spare parts building
industries of Iran’s Automobile, three questionnaires have been used. These questionnaires were distributed as an existing status evaluation questionnaire of information technology and information systems (IT/IS) in companies, a questionnaire relating to organization structure of companies and a questionnaire for determination of top management leadership style in an organization among the successful companies of Iran’s automobile part-building industries. In each company, three people from the managerial levels (the managing director, administrative and human resources manager and IT manager) answered the questions. Data collected from the companies were analyzed by using the SPSS /11.5 software, and hypotheses based on research model were tested and, at the end, a comprehensive organizational design commensurate with information technology and information system (IT/IS) was presented.
Adel Azar; Amir Afsar; Parviz Ahmadi
Volume 10, Issue 4 , March 2007, , Pages 1-16
Abstract
Today, stock investment has become an important mean of national finance. Apparently, it is significant for investors to estimate the stock price and select the trading chance accurately in advance, which will bring high return to stockholders. In the past, long-term trading processes and many technical ...
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Today, stock investment has become an important mean of national finance. Apparently, it is significant for investors to estimate the stock price and select the trading chance accurately in advance, which will bring high return to stockholders. In the past, long-term trading processes and many technical analysis methods for stock market were put forward. However, stock market is a nonlinear system, due to the political, economical and psychological impact factors. Thus, it is difficult for us to use traditional analysis tools to make stock transaction decision. With the developmenting of nonlinear methods such as neural networks and fuzzy neural networks, we can now use these methods for stock price forecasting.
In this research, we presented three scenarios: 1) stock price forecasting with classical methods approach, 2) stock price forecasting with artificial intelligence methods approach, and 3) stock price forecasting with hybrid model. Therefore, first, we designed classical models such as exponential smoothing, trend analysis, and ARIMA, then artificial intelligent models such as neural networks and fuzzy neural networks were designed, next the third scenario i.e., hybrid model, was presented. Finally, the scenarios were measured. The experimental result showed that the hybrid model had more accuracy than the classical or artificial intelligent models.
The hybrid model enjoyed also such properties as fast convergence, high precision and strong function approximation ability, there fore, it is suitable for real stock price forecasting.
Hamid Reaza Bazzaz-zadeh
Volume 18, Issue 4 , January 2015, , Pages 1-22
Abstract
This study investigates the impact of using non-financial performance measures on management decisions and the performance of firms listed in TSE, as well as the role of perceived environmental uncertainty in this relationship. For this purpose, the questionnaires were sent for 122 randomly selected ...
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This study investigates the impact of using non-financial performance measures on management decisions and the performance of firms listed in TSE, as well as the role of perceived environmental uncertainty in this relationship. For this purpose, the questionnaires were sent for 122 randomly selected industrial companies, and finally, 42 questionnaires were received that were completed by CEOs. Here The CEOs were requested to determine perceived environmental uncertainty in the environment that their firms operate in, and degree of usage of non-financial measures, and finally, determine the relative performance of their firms in 3 years. Analysis on the received responses showed that using non-financial measures improves the firms’ performance; However, perceived uncertainty has significant effect on this relationship but this is in opposite with Hook [1] who found that it reduces this effect. Additional analysis also showed that internal process measures did not have any effect on the firms’ performance but customer and growth measures affect on the firms performance, and it is affected by the environmental uncertainty only for growth measures.
