Kamran Feizi; Ali Reza Moghaddasi
Volume 1, Issue 2 , October 2003, , Pages 101-124
Abstract
One of the most interesting reengineered organizational structures is virtual organization. A virtual organization is an organization composed of several business partners sharing costs and resources for the purpose of manufacturing a products or services. The creation, operation and management of a ...
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One of the most interesting reengineered organizational structures is virtual organization. A virtual organization is an organization composed of several business partners sharing costs and resources for the purpose of manufacturing a products or services. The creation, operation and management of a virtual organization are heavily dependent of Information Technology.
This brief paper serves to better introduce the concepts, definitions, types (Spider Web and Interconnected Islands) of virtual organization. Then some advantages and disadvantages of these organizations are described. At the end of this paper, the effects and role of Information Technology in virtualization, supporting them and finally some of thesis supports are implicated.
Ali Mohtashami; Sarvenaz Tayyebi
Volume 8, Issue 20 , March 2011, , Pages 101-128
Abstract
Managers in organizations. In this paper an innovative model for calculating amount of incentive payments to employee has been proposed. Considering the multi criteria nature of assessing organization’s employees, this research propose a methodology to face this problem using multiple criteria ...
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Managers in organizations. In this paper an innovative model for calculating amount of incentive payments to employee has been proposed. Considering the multi criteria nature of assessing organization’s employees, this research propose a methodology to face this problem using multiple criteria decision making technique. To evaluating the effectiveness of this model, the suggested model has been implemented for an electromotor manufacturing company and the results has been mentioned in article. Considering the high ability of TOPSIS technique in solving the large scale (large number of alternatives and criteria), this technique will be used for computations. The suggested model has been used for five production departments (163 persons) in mentioned company and amount of incentive payment for each one of employees has been calculated.
Jamshid Salehi Sadaghiani
Volume 8, Issue 18 , September 2010, , Pages 105-122
Abstract
Traveling salesman problem (TSP) is one of the most well-known combinational optimization problems which recently has been a suitable base to validate different heuristic and Meta heuristic algorithms. Multiple application of this problem in both theoretical and operational field is remarkable to researches. ...
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Traveling salesman problem (TSP) is one of the most well-known combinational optimization problems which recently has been a suitable base to validate different heuristic and Meta heuristic algorithms. Multiple application of this problem in both theoretical and operational field is remarkable to researches. Mate heuristic Optimization algorithm by ant colony is a kind of successful methods which has been used to solve discrete combinational optimization problems recent years. An algorithm based on ant colony optimization is presented in this paper to solve fuzzy traveling salesman problem. Presented algorithm has been programmed and run at C++ environment and results of each run were compared with coded results of Branch and Bound algorithm by Lingo 8.0. Suggested algorithm has resulted successfully in small scale and in the case of large scale has resulted to feasible solution at short time.
Jafar Bagherinejad; Forough Sharifi
Volume 9, Issue 22 , September 2011, , Pages 105-134
Abstract
Using e-govemment services makes several advantages like reducing production costs, decreasing waiting time, acquiring and sharing information to small and medium sized enterprises (SMEs). Besides these advantages, the use of e-govemment services in SMEs is less than the expectation. The aim of this ...
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Using e-govemment services makes several advantages like reducing production costs, decreasing waiting time, acquiring and sharing information to small and medium sized enterprises (SMEs). Besides these advantages, the use of e-govemment services in SMEs is less than the expectation. The aim of this paper is identifying influential factors affecting the acceptance of e-govemment services by SMEs. In this regard, these factors are identified and extracted from relevant literature. Then a conceptual model including eight major factors was designed based on technology-organization and environment framework. This model has been tested in a field study with 98 samples from the Iranian SMEs. The data analysis showed a highly significant relation between direct benefit, indirect benefit, complexity, top management support, information technology expertise, government pressure with electronic services acceptance independent variable. There was not any significant relation between industry pressure and consistency and independent variable. However, all factors have positive relation and just factor of complexity has negative relation with independent variable. These analyses were done by structural equation modeling and LISREL software.
Javad Behnamian; Zeinab Akhavan
Abstract
Work in industrial workshops and heavy activities has effects on the health of workers and in terms of occupational hazards associated with many risks for them. Since in the industrial units there are different works in terms of ergonomic load and hardship of work, the occupational hazards can be reduced ...
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Work in industrial workshops and heavy activities has effects on the health of workers and in terms of occupational hazards associated with many risks for them. Since in the industrial units there are different works in terms of ergonomic load and hardship of work, the occupational hazards can be reduced by job rotation scheduling. In this paper, using reduction approach, the ergonomic job rotation scheduling problem (EJRP) is reduced to parallel machine scheduling problem so that its exact methods (such as branch and bound method) are used to solve the EJRP. Furthermore, according to the proposed reduction, the lower bounds for parallel machine scheduling problem also applied for branch and bound solving method. The main aim of this research is providing an optimal scheduling for job rotation by applying human factors engineering approach in order to minimize the maximum workload on the staffs
Peyman Akhavan; Mir Ali seyed Nahavi; Ahmad Ebrahimi; Arash Bakhsha; Mohammad R. Zahedi
Volume 6, Issue 17 , September 2007, , Pages 107-133
Abstract
This research is done for more knowing about automobile industries entrepreneurship environment and has presented the comprehensive model for starting the entrepreneurship in this field. This model is extracted from interviewing Iranian auto parts manufacturing entrepreneurs and most information has ...
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This research is done for more knowing about automobile industries entrepreneurship environment and has presented the comprehensive model for starting the entrepreneurship in this field. This model is extracted from interviewing Iranian auto parts manufacturing entrepreneurs and most information has collected from them directly. In this model, starting the entrepreneurship process is related to entrepreneurial potential, tendency to entrepreneurship and having a new idea simultaneously. The factors which affect these variables have shown in three categories: individual characteristics, past records and environment (combined attitudes from psychology, sociology and economical environment). This paper is based on a practical research and a Descriptive- Survey method has been used. The sampling population has extracted from auto parts manufacturing industries and the random sampling method has been used too. Therefore, the sample size has been calculated 30, based on the statistical method. Also, in order to evaluate a part of this model (entrepreneurial potential and the in fluencies factors on it), questionnaires have been used and the related perpetuity has been calculated 82% based on Cronbach's a (alpha). Experiences and related analysis have shown that tendency and interest rate of auto parts manufacturing entrepreneurs is high (72.4%). Also, it has been found that the entrepreneurs use some factors like: individual characteristics (73%), Technical knowledge (61%) and organizational structure (61%) in their recruitment process consecutively. Also, the best motivational tools were used by entrepreneurs in their works are as follows:
Remuneration (94%), Value creating (53%) and Promotion (47%). At the end of this paper, based on the findings, the native description of entrepreneurship is presented.
Gholamreza Khoshsima; Ali Mehrabi; Hamid Sharifi; Fateme Shirvani; Mahbobe Kazemi
Volume 9, Issue 25 , July 2012, , Pages 109-132
Abstract
In this research, exploratory mixed research are used and implementedat two stages. At first stage, two questionnaires are designed. Based onCambridge University’s Model, responsiveness of Almas-e-Kavir andEhsan Industrial Group are surveyed and analyzed that are done bycomparative-theoretical ...
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In this research, exploratory mixed research are used and implementedat two stages. At first stage, two questionnaires are designed. Based onCambridge University’s Model, responsiveness of Almas-e-Kavir andEhsan Industrial Group are surveyed and analyzed that are done bycomparative-theoretical case study. A questionnaire is designedaccording to the comparative-theoretical case study that determinesresponsiveness’s degree of ceramic tile industry’s companies. At thesame time, literature reviews of knowledge management enablers aredone and a questionnaire is designed. At the second stage, twoquestionnaires are distributed and after gathering them, data areanalyzed. In this stage, questionnaire of knowledge managementenablers are validated by confirmatory factor analysis. Then, affect ofknowledge management enablers on responsiveness are analyzed bydiscriminate analysis. Responsiveness at manufacturing systems isability to achieving operational objective with internal and externaldisturbances. Results are shown that infrastructures of knowledgemanagement have more effect on responsiveness than people,strategy, and processes
Mohammad Ali Faezi-Rad; Alireza Pooya
Abstract
By developing information technology and emerging online markets,Planning for these markets and analyzing their details has been became a priority for beneficiary organizations. One of most important online markets in Iran is SIM card credit services that are considered as online stores. Regarding to ...
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By developing information technology and emerging online markets,Planning for these markets and analyzing their details has been became a priority for beneficiary organizations. One of most important online markets in Iran is SIM card credit services that are considered as online stores. Regarding to numerous and increasing number of online malls, grouping and classification of online malls from supplier's point of view in order to forecasting cooperation is essential. In this paper, around three thousand online stores has been studied and analyzed by using one of famous supplier data and it has been clustered according to supplier's indexes. Clustering process has been done by using SOM Neural Network in two levels by K-means algorithm since it facilitates analyzing of clusters. Although various validation indicators has been developed to determine the best number of clusters but in this paper, an optimizing model of compensatory approach to indexes is presented by using combination multi criteria decision making and aggregation of various indexes
Abolfazl Kazemi; Vahid Hajipour
Abstract
In today's competitive markets quality as a competitive advantage is important, but quality always comes with price, so cost of quality recognition and proper division has always attracted attention of many researchers in the literature. The related literature show that from the time quality costing ...
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In today's competitive markets quality as a competitive advantage is important, but quality always comes with price, so cost of quality recognition and proper division has always attracted attention of many researchers in the literature. The related literature show that from the time quality costing is introduced, all attentions were to identify the different costs of quality and sometimes there were different views to these costs which have similarities in the principle of classifications. Despite to successful reports provided for implementing these methods in identifying costs of quality, it can be seen a gap in improvement processes. Although the identification of costs and improvement projects in this field, often improve the level of products and service quality and ultimately lead to increased customer satisfaction, But certainly there is a significant difference between non-optimum and optimum resource allocation in receiving results. The aim of this study is to design an approach that reach to a certain quality level in a consistent and cost less way. In this approach, after identifying the types of quality costs, difference in importance of costs is determined. The first weight comes from financial results obtained from costs identification, indeed it is the proportion of the financial load of each cost to total quality costs. Stakeholder opinion based on BSC in second weight calculating process comes into AHP as expert group.
Mojgan Khorasani; Abolfazl Kazemi
Abstract
This paper investigates a supplier evaluation and selection model which considers features of leagile supply chain and allocates orders to the selected suppliers. In the proposed model, potential suppliers are evaluated by applying a multi-objective model with respect to the key features of leagile supply ...
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This paper investigates a supplier evaluation and selection model which considers features of leagile supply chain and allocates orders to the selected suppliers. In the proposed model, potential suppliers are evaluated by applying a multi-objective model with respect to the key features of leagile supply chain, including the ability to respond to demands, reducing delay time and costs (which are the winning factors for being the winner of market in this supply chain), as well as considering the capacities and limitations of organizations and suppliers. The proposed model allows buyer to select several suppliers. In addition, the model is multi-products and multi-periods. Due to long time and inefficiency of exact methods for large-sized problems, in addition to Lingo software, Genetic Algorithm is used to achieve the optimum solution
Jamshid Salehi sadaghiani; Yasser Sobhani Fard; Maryam Akhavan Kharazian
Volume 5, Issue 14 , December 2006, , Pages 111-130
Abstract
The researches show that the implementation of Just-In-Time isn't unique in all situations. The implementation of this system may be differed in different companies, regions or countries and the some components that are needed to situations may be isn't vital in other situations. The purpose ...
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The researches show that the implementation of Just-In-Time isn't unique in all situations. The implementation of this system may be differed in different companies, regions or countries and the some components that are needed to situations may be isn't vital in other situations. The purpose of this study is to identify elements and components that are critical to lust-In-Time success. This articles goal is proposing a method for this notification in lust-In-Time implementation by using antropy, TOPSIS and Pareto techniques. In this method we use TOPSIS and Pareto techniques for setting a priority and then selection of component and use entropy method for giving coefficient to TOPSIS matrix. At the end, in this case 5 components from 11 possible components in this system to implement in these companies have extracted.
Parham Azimi; Farzaneh Goldar; Esmaeil Mehdizadeh
Volume 13, Issue 36 , April 2015, , Pages 115-142
Abstract
Supply chain management (SCM) is one of the most important competitive strategies used by modern companies. The main goal of supply chain management is integration different suppliers to fulfill market demand. Therefore, evaluation and selection of suppliers has critical role and significant effect on ...
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Supply chain management (SCM) is one of the most important competitive strategies used by modern companies. The main goal of supply chain management is integration different suppliers to fulfill market demand. Therefore, evaluation and selection of suppliers has critical role and significant effect on supply chain management. This paper presents hybrid model based on clustering approach and suppliers' selection. At first, K-harmonic means clustering method which is one of the most popular methods in clustering analysis is used for clustering suppliers. Then, according to theoutput of clustering, a multi-objective model is considered to select the best supplier. Since the model belongs to the class of NP-hard optimization problems, two meta-heuristic algorithms named Non-dominated Sorting Genetic Algorithm (NSGAII) and Non-dominated Ranked Genetic Algorithm (NRGA) is used for solving model in reasonable time. Computational results show that the clustering analysis can be considered as an effective way to the suppliers' selection. Also, several data sets are applied to evaluate the effect of clustering analysis on suppliers' selection
Alireza Alinezhad; Niki Jalili Taghavian
Volume 13, Issue 39 , January 2016, , Pages 115-144
Abstract
Improving products quality and services is the best and most important factor to win competitors and get majority of the market share. In this regard, Failue mode and Effect analysis is an efficient tool to improve the quality products. Considering many criticisms to taraditional method, the risk priority ...
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Improving products quality and services is the best and most important factor to win competitors and get majority of the market share. In this regard, Failue mode and Effect analysis is an efficient tool to improve the quality products. Considering many criticisms to taraditional method, the risk priority number in FMEA is formed by multiplying of three factors (seveirity, Occurrence and Detect). In order to existing defects, a new method to calculate the risk priority number in FMEA based on data envelopment analysis method is introduced. The aim of this study is to provide a new kind of risk priority number by assigning different weights to each of the risk factors. Also according to severity, Occurance and detection numbers that are achieved by a team of experts and are not a constant and certain factor, in this research has been used Robust optimization because of covering the result of DEA and less complexity. The results of example indicate that, proposed model is more effective than traditional RPN and provide a full ranking.
Gholamreza Khoshsima
Volume 3, Issue 11 , December 2005, , Pages 115-143
Abstract
In this research, canonical correlation analysis has been done between agility, competitive advantage and organizational performance at manufacturing organizations. ...
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In this research, canonical correlation analysis has been done between agility, competitive advantage and organizational performance at manufacturing organizations. For reduction of variables, factor analysis was used. For achieving this purpose, at first. latent variables include agility, competitive advantage, and organizational performance was tested with using factor analysis. In our research model. agility latent variables are included enriching customer, mastering change and uncertainty. cooperate to enhance competitiveness, and leveraging impact of people and information. Competitive advantage is included time to market. price/cost. quality, product innovation, and reliability of delivery. Organizational performance also is included market performance and financial performance. Each of them (latent variables) are measuring with own indicators. Then canonical correlation analysis was used to relationship between agility with competitive advantage and organizational performance. Results reveals a statistically significant relationships between agility variables with strategic performance of manufacturing organizations. SAS version 9.1 and Lisrel version 8.54 are used for computation.
Peyman Akhavan; Mir Ali Seyed Naghavi; Morteza Soltani Noh; Taleb Asadi Karam
Volume 6, Issue 15 , March 2007, , Pages 115-142
Abstract
This paper reviews intellectual capital literature, develops a holistic model and inspects a case study of holistic model implementation. Reviewing the literature, 34 models of managing intellectual capital have been identified. Extracting different concentration areas of each model, we set up a comparison ...
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This paper reviews intellectual capital literature, develops a holistic model and inspects a case study of holistic model implementation. Reviewing the literature, 34 models of managing intellectual capital have been identified. Extracting different concentration areas of each model, we set up a comparison table. Two models that cover more areas have been picked out as the basic models to develop the holistic model which comprises all concentration areas. The holistic model was implemented in a company. Collecting managers and key stakeholders opinion, according to holistic model, we defined desired situation for the next five years, developed proper criteria, and measured the current and desired situation. The measurement process results reveal major gaps between current situation and desired situation and provided managers useful guidelines for decision making. This research helps organizations to compare and select the appropriate intellectual capital management model considering their own situations. Moreover, the holistic model can be exploited by different types of organizations; particularly by ones do not have shareholders and exchange market, like hospitals and military organizations.
Seyed Alireza Mir Mohammad Sadeghi*,; Mahdi Moghan; Mahdi Keshavarz; Mehrnoosh Keshavarz; Fatemeh Khaje Nori
Abstract
Subway network extension, growing expansion an inherent management complexities, made it necessary to use scientific approach, modern technology and global experiences about maintenance. Many equipments and trains of subway network, consist of repairable items which consume considerable human and financial ...
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Subway network extension, growing expansion an inherent management complexities, made it necessary to use scientific approach, modern technology and global experiences about maintenance. Many equipments and trains of subway network, consist of repairable items which consume considerable human and financial resources of the organization. This paper aims to measure the efficiency and rank ventilation system of Tehran's DC trains and it's subsystems using three-stage relational data envelopment analysis model. About the importance of Tehran’s subway ventilation system, we can say that for 8 months of the year, ventilation system after driving engines which support the movement of trains, gets most important attention of operation management. In this paper with defining ventilation system as decision-making units, we use it to evaluate the system performance and ultimately for maintenance strategy, including an estimate of the maintenance workshop capacity, spare parts and requiring labor. Due to various errors such as human errors, machinery errors, limitations of field data analysis and etc, in this paper fuzzy logic is used to overcome the uncertainly in data. Also, reliability, availability and maintainability analysis, which are most important indicators in the maintenance field, have been used to determine the ventilation system inputs and outputs
Hosein Gitinavard; Seyed Meisam Moosavi; Behnam Vahdani; Hamid Ghaderi
Abstract
Increasing the complexity of decision-making problems leads to utilize a group of experts instead of one expert for evaluating the contractor selection problem. This paper proposes a hesitant fuzzy preference selection index method based on risk preferences of experts. The hesitant fuzzy set is used ...
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Increasing the complexity of decision-making problems leads to utilize a group of experts instead of one expert for evaluating the contractor selection problem. This paper proposes a hesitant fuzzy preference selection index method based on risk preferences of experts. The hesitant fuzzy set is used to cope with the uncertainty in vague/hesitant situations. Also, the compromise solution is proposed to compute the weight of each expert. Moreover, the proposed approach considers the quantitative and qualitative criteria and also assists the experts to reduce margin of errors by assigning some membership degrees for each contractor versus each criterion under a set. In addition, the experts' judgments are aggregated in the last step of proposed approach in the group decision process to avoid the data loss. In the presented approach, selecting the best contractor is based on closest to positive ideal and farthest from negative ideal, simultaneously. Finally, the proposed method is applied to a case in construction industry for selecting the suitable contractor, in which the obtained results are compared with two decision methods from the recent literature to indicate the efficiency and validity of the proposed method.
Esmaeil Mehdizadeh; Vahid Rahimi
Volume 13, Issue 37 , July 2015, , Pages 123-159
Abstract
Abstract
This paper presents a mathematical model for solving dynamic cell formation problem, operator assignment and the inter-cellular and intra-cellular layouts simultaneously. The proposed model includes three objectives, the first objective seeks to minimize inter and intra-cell part movement, ...
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Abstract
This paper presents a mathematical model for solving dynamic cell formation problem, operator assignment and the inter-cellular and intra-cellular layouts simultaneously. The proposed model includes three objectives, the first objective seeks to minimize inter and intra-cell part movement, machine relocation, second objective minimize operator related cost, third objective maximize ratio of consecutive forward flows. The model is Multi-objective; therefore, the LP-metric approach is used to solve it. In order to validate the model, the proposed model has been solved by using Lingo software. Then, due to NP-hardness of the cell formation problem, for solving large scale problems, a multi-objective simulated annealing algorithm proposed. Several numerical examples solved by Lingo software and multi-objective simulated annealing algorithm. Results show that the proposed multi-objective simulated annealing algorithm solved considerably time less than the software Lingo and also none of the answers obtained by the two methods are not dominated
Amineh Hosseini; Kaveh Khalili-Damghani; Ali Emami Meibodi
Volume 14, Issue 42 , October 2016, , Pages 123-167
Abstract
In this paper, a methodology is proposed to measure the efficiency ofnational energy sector in IRAN. The technical and environmentalperformance of the oil refineries in IRAN as a major producer of energy andfuel are evaluated based on data from years 2010 to 2013. In this study, afuzzy multi-objective ...
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In this paper, a methodology is proposed to measure the efficiency ofnational energy sector in IRAN. The technical and environmentalperformance of the oil refineries in IRAN as a major producer of energy andfuel are evaluated based on data from years 2010 to 2013. In this study, afuzzy multi-objective multi-period common weight network dataenvelopment analysis approach is proposed and customized to evaluate theperformance of oil refineries. A certain scenario, called food-production inwhich a refinery is assumed as a decision making unit (DMU) consuminginputs to produce outputs, is considered to evaluate the technical andenvironmental performance in presence of undesirable outputs. The maincontribution of this study are summarized as: (1) Proposing a multiobjectivecommon weight DEA model in order to determine the weights ofinputs and outputs in a single run; (2) Calculating the long term efficiencyscores during a multiple-periods of planning incorporating dynamic natureof inputs and outputs; (3) Handling a compromise solution using fuzzymathematical programming to address multi-objective mathematicalprogramming; (4) Proposing a linear mathematical programming to achievethe global optimum solutions; (5) Enhancing the discrimination power of theDEA models; (6) Reducing the computational time of modeling and solutionprocedure; (7) incorporating effective criteria in the modeling procedure.The analysis of case study presents the efficacy and applicability ofproposed method in comparison with existing classic models.
K. Feizi; A.R. Moghaddasi
Volume 1, Issue 3 , January 2003, , Pages 125-145
Abstract
This paper serves to better introduce the concepts and some definitions of entrepreneurship, entrepreneur, and entrepreneurship training. Then some objectives, advantages and content outlines in three levels (individual, organizational and environmental) of entrepreneurship training are described. Indeed, ...
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This paper serves to better introduce the concepts and some definitions of entrepreneurship, entrepreneur, and entrepreneurship training. Then some objectives, advantages and content outlines in three levels (individual, organizational and environmental) of entrepreneurship training are described. Indeed, this article sheds light on the process, several courses, some centers and managerial issues about entrepreneurship raining.
The article concludes by discussing about experiences of some countries in implementation of entrepreneurship training.
aboosaleh mohammadsharifi; Kaveh Kahlili-Damghani; farshid abdi; soheila sardar
Abstract
Recently, Bitcoin as the most popular cryptocurrency, has attracted the attention of many investors and economic actors. The cryptocurrency market has experienced a sharp fluctuation, and one of the challenges is to predict future prices. Undoubtedly, creating methods to predict the price of bitcoin ...
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Recently, Bitcoin as the most popular cryptocurrency, has attracted the attention of many investors and economic actors. The cryptocurrency market has experienced a sharp fluctuation, and one of the challenges is to predict future prices. Undoubtedly, creating methods to predict the price of bitcoin is very exciting and has a huge impact on determining the profit and loss from its trading in the future. In this study, in order to predict the price of Bitcoin, a combination of the ARIMA model and three types of deep neural networks including RNN, LSTM, and GRU have been used. The main purpose of this study is to determine the effect of deep learning models on the performance of predicting the future price of Bitcoin. In the proposed model, first, the linear components in the data set are separated using ARIMA and the resulting residues are transferred separately to each of the neural networks. The results show that the ARIMA-GRU model has better results for RMSE and MAPE criteria than other models. Combined models also perform better than the traditional ARIMA model in forecasting.
Marzieh Karimi; Abolfazl Kazemi
Abstract
Supplier selection is the process by which firms identify, evaluate, and contract with suppliers. The supplier selection process deploys a tremendous amount of a firm's financial resources. Nowadays, supplying the required resource of organizations has become an important business approach so a competitive ...
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Supplier selection is the process by which firms identify, evaluate, and contract with suppliers. The supplier selection process deploys a tremendous amount of a firm's financial resources. Nowadays, supplying the required resource of organizations has become an important business approach so a competitive advantage may be gained by the selection of the best suppliers to provide products/services more effectively and efficiently. Many models have been developed for solving supplier selection problem. In this paper, in addition to considering the incremental discount strategies, cost of shortages is also considered so far has not been considered. In this model, two objective functions of cost minimization of the buyer, and maximize quality of product is considered. To solve the proposed supplier selection model, an improved harmony search algorithm is used. The results show that the proposed algorithm works properly in the term of both CPU time and the quality of solutions. Finally, some numerical examples for model analyses are presented.
Hossein Rezaei Dolatabadi
Volume 4, Issue 12 , March 2006, , Pages 135-161
Abstract
One of the important aspects in organizational behavior is organizational climate. While organizational climate is conceptualized as a characteristic of organizations which is reflected in the descriptions employees make of the policies, practices and conditions which exist in the environment.
Organizational ...
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One of the important aspects in organizational behavior is organizational climate. While organizational climate is conceptualized as a characteristic of organizations which is reflected in the descriptions employees make of the policies, practices and conditions which exist in the environment.
Organizational climate is reflected beliefs that employees make of the organization. The purpose of this study is to examine cross- sectional of organizational climate in steel industry>. The sample includes technical specialist, nontechnical specialist, technician and administrative people. The data collected through climate instruments is subjected. The instrument organizational climate is Litwin & Stringer questionnaire. The overall finding of this study is that agreemen people on organizational climate different. Technical specialist agreemen more than other people. The most dispersal opinion is nontechnical specialist. According to a case study in steel industry, it was found out that which organizational climate technical specialist, nontechnical specialist, technician and administrative people is different.
Parham Azimi; Farhad Hadinejad
Abstract
Reliability optimization and mean time to failure are those of the areas of interest for engineers and designers of systems and the use of redundancy components is one of the most common approaches in this field. The purpose of the optimization problem, finding the optimum number of redundancy components ...
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Reliability optimization and mean time to failure are those of the areas of interest for engineers and designers of systems and the use of redundancy components is one of the most common approaches in this field. The purpose of the optimization problem, finding the optimum number of redundancy components that must be satisfied the objectives of reliability engineering in the system. But usually the reliability improves results in increased costs and changes in parameters such as volume and weight of the system; therefore, it is necessary to establish a balance between resources. In previous researches, redundancy allocation problem is studied with non-repairable components or failure rate with exponential distribution; but in this study, repairable components and rates of failure and repair a non-exponential distribution assumed. Thus the purpose of this paper is solving reliability redundancy allocation problem with the goals of increasing the mean time to failure, reduce costs and reduce the variance of the shelf life of the system, while taking into account constraints such as volume and weight of the system. To this end, the research effort will be using mathematical and statistical techniques such as multi criteria decision making models, design of experiments, simulations, and computer software associated with them, provide a new approach for solving reliability redundancy allocation problem in series-parallel systems with repairable components
Arman Sajedinejad; Meysam Lotfi
Abstract
In this paper, a non-periodic preventive maintenance scheduling optimization model for multi-component systems is provided based on the maximum availability of system components. In addition to providing the required level of system reliability and satisfy other system constraints (maintenance activities ...
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In this paper, a non-periodic preventive maintenance scheduling optimization model for multi-component systems is provided based on the maximum availability of system components. In addition to providing the required level of system reliability and satisfy other system constraints (maintenance activities and available resources), total costs (direct and indirect) associated with minimal maintenance and, if necessary, one of the maintenance activities include in inspected and serviced simple, preventive repair and preventive replacement for each component, is proposed. Each of these activities uses various sources and regarding the position of the repairing component, effects differently on the reliability of the system. The costs considered include in direct costs (simple service, repair and replacement) as well as indirect costs (out of order and random failures). Since the proposed model has a complex structure, in order to solve the problem, the Genetic Algorithm (G.A) has been used and the results is presented. In the end, performance and use of this model, for a 10-part series - parallel is presented in the form of a case study.
