Allameh Tabataba'i UniversityIndustrial Management Studies2251-802992220110923Determining Purchasing Re Order Point For Inventory Problems At Commercial Environments, Using Artificial Neural Network’s (ANN)Determining Purchasing Re Order Point For Inventory Problems At Commercial Environments, Using Artificial Neural Network’s (ANN)1214510FAAhamadJafarnejadHannanAmoozad MahdirajiJavadAmoozadehJournal Article20091111By the new developments occurring in technology, management theories, manufacturing and production, and as a result, improvement in products variety, productivity and innovation, all companies and organizations are trying to handle and manage their product in a efficient manner. By identifying new methods in purchasing, warehousing, handling and ordering, all classical processes have lost their applications. These new methods such as Artificial Intelligence (AI) have provided the necessary tools that we need for decision making in specific situations. <br />In this paper, some new definitions in re order point (ROP) have been discussed; in addition we have used Artificial Neural Networks (ANN) for determining re order point for purchasing goods in commercial organizations, especially import companies. For this matter, ANN has been used for decision making in purchasing, and also normal curve has been used for calculating order lead times. In the conclusion, we agreed that our new model has many priorities to its classical kinds.By the new developments occurring in technology, management theories, manufacturing and production, and as a result, improvement in products variety, productivity and innovation, all companies and organizations are trying to handle and manage their product in a efficient manner. By identifying new methods in purchasing, warehousing, handling and ordering, all classical processes have lost their applications. These new methods such as Artificial Intelligence (AI) have provided the necessary tools that we need for decision making in specific situations. <br />In this paper, some new definitions in re order point (ROP) have been discussed; in addition we have used Artificial Neural Networks (ANN) for determining re order point for purchasing goods in commercial organizations, especially import companies. For this matter, ANN has been used for decision making in purchasing, and also normal curve has been used for calculating order lead times. In the conclusion, we agreed that our new model has many priorities to its classical kinds.https://jims.atu.ac.ir/article_4510_f5d450bad81127df40c0e028fa70dff9.pdfAllameh Tabataba'i UniversityIndustrial Management Studies2251-802992220110923Fractional Mathematical modeling for production planning - with fuzzy approach
(Case study: Khavar-E-Miane Furniture Co)Fractional Mathematical modeling for production planning - with fuzzy approach
(Case study: Khavar-E-Miane Furniture Co)23484511FAAdelAzarDavoodAndalib ArdakaniHaidarMirfakhroddiniJournal Article20100510Nowadays the most important issues considered by the managers of industry is production planning and in this area, managers are faced with several goals that in many cases are in conflict with each other. Operations research techniques, with modeling, while the existing constraints consider, optimize organizational goals. Objectives of all these techniques are raising productivity in the organization. Mathematical model for this research that is made for production planning in Khavar-E-Miane Furniture Co is multiple Objective fractional programming. One of the difficulties in solving the multiple Objective fractional problems is computational problem that arise of variability, in the example Chames and Cooper and Gillmore and Gomory methods there. Hence this research was used fuzzy approach to solve multiple Objective fractional mathematical model of Khavar- E-Miane Furniture Company. Thereby also overcome the computational problems of variability in the previous methods, the relevant officials will be able to optimize their production systems. In this context the first phase, Pal's method was used that using fuzzy goal programming was solved the multiple Objective fractional mathematical model. More using Dutta fuzzy method was determined that the result using both methods is identical and membership functions are equal to =0.701 and //<sub>2</sub> =1. It should be noted that other companies also changed slightly in the proposed mathematical model will be able to optimize the production planning.Nowadays the most important issues considered by the managers of industry is production planning and in this area, managers are faced with several goals that in many cases are in conflict with each other. Operations research techniques, with modeling, while the existing constraints consider, optimize organizational goals. Objectives of all these techniques are raising productivity in the organization. Mathematical model for this research that is made for production planning in Khavar-E-Miane Furniture Co is multiple Objective fractional programming. One of the difficulties in solving the multiple Objective fractional problems is computational problem that arise of variability, in the example Chames and Cooper and Gillmore and Gomory methods there. Hence this research was used fuzzy approach to solve multiple Objective fractional mathematical model of Khavar- E-Miane Furniture Company. Thereby also overcome the computational problems of variability in the previous methods, the relevant officials will be able to optimize their production systems. In this context the first phase, Pal's method was used that using fuzzy goal programming was solved the multiple Objective fractional mathematical model. More using Dutta fuzzy method was determined that the result using both methods is identical and membership functions are equal to =0.701 and //<sub>2</sub> =1. It should be noted that other companies also changed slightly in the proposed mathematical model will be able to optimize the production planning.https://jims.atu.ac.ir/article_4511_a69fde6f060d1a0541e165d25f0e6041.pdfAllameh Tabataba'i UniversityIndustrial Management Studies2251-802992220110923Measuring the Leanness Degree of Industrial Firms using Lean Production Hierarchical Approach
(Case: Yazd Tile and Ceramics Industries)Measuring the Leanness Degree of Industrial Firms using Lean Production Hierarchical Approach
(Case: Yazd Tile and Ceramics Industries)49744512FAMaysamShafiee RoodposhtiSeyyed HabibMirghafooiJournal Article20090602In new era systems managers should focus on managing the flow of production through all the steps that add value to the final product. Lean production as an efficient approach has presented in literature of production management for increasing the level of products' quality and decreasing cost of production. Although this approach is introduced and studied in many of works but there are some challenges in applying it. It means that there is not a comprehensive model for assessing and analyzing the lean production in manufacturing firms. This paper tries to present a model able to accuracy analyze and measure the leanness degree of firms. In this study, first the literature of lean production and, specifically, existing models that identify the variables and component elements of lean production firms was studied. In the next step a hierarchical model for measuring the leanness degree was developed and its dimensions and criteria's were defined. At final step for assessment phase formulas and relations were developed and applied in Yazd Tile and Ceramics industries.In new era systems managers should focus on managing the flow of production through all the steps that add value to the final product. Lean production as an efficient approach has presented in literature of production management for increasing the level of products' quality and decreasing cost of production. Although this approach is introduced and studied in many of works but there are some challenges in applying it. It means that there is not a comprehensive model for assessing and analyzing the lean production in manufacturing firms. This paper tries to present a model able to accuracy analyze and measure the leanness degree of firms. In this study, first the literature of lean production and, specifically, existing models that identify the variables and component elements of lean production firms was studied. In the next step a hierarchical model for measuring the leanness degree was developed and its dimensions and criteria's were defined. At final step for assessment phase formulas and relations were developed and applied in Yazd Tile and Ceramics industries.https://jims.atu.ac.ir/article_4512_12b2c66fbf46b80625a1335cbd3d1915.pdfAllameh Tabataba'i UniversityIndustrial Management Studies2251-802992220110923Competitiveness Model of Iranian Manufacturing IndustriesCompetitiveness Model of Iranian Manufacturing Industries751044513FAHosseinRahmansereshtMitraSafaeianJournal Article20100130Industry competitiveness has positive impact on productivity and public wealth. In this research, we try to draw a proper competitiveness model for Iranian manufacturing industries through recognizing influential factors. We reviewed 23 manufacturing industries in Iran from 1373 to 1386. The result shows that “Industry size” is the most important factor among others that impact on competitiveness of manufacturing industries in Iran. “Labor productivity” has low impact on Industry competitiveness. Besides, government has a central role on competitiveness success in Iranian manufacturing industries.Industry competitiveness has positive impact on productivity and public wealth. In this research, we try to draw a proper competitiveness model for Iranian manufacturing industries through recognizing influential factors. We reviewed 23 manufacturing industries in Iran from 1373 to 1386. The result shows that “Industry size” is the most important factor among others that impact on competitiveness of manufacturing industries in Iran. “Labor productivity” has low impact on Industry competitiveness. Besides, government has a central role on competitiveness success in Iranian manufacturing industries.https://jims.atu.ac.ir/article_4513_9f71ed8f315e6c6f4e31f1222c9309a8.pdfAllameh Tabataba'i UniversityIndustrial Management Studies2251-802992220110923A perception-based model for E-government acceptance in small and medium sized enterprises using a technology-organization-environment framework by structural equation modelingA perception-based model for E-government acceptance in small and medium sized enterprises using a technology-organization-environment framework by structural equation modeling1051344514FAJafarBagherinejadForoughSharifiJournal Article20100104Using 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.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.https://jims.atu.ac.ir/article_4514_ce87901b0bb86a2970c29bc85b6392a0.pdfAllameh Tabataba'i UniversityIndustrial Management Studies2251-802992220110923Using Grey decision making approach to ranking Key Performance Indicators (KPI) and increase effectiveness of strategic plansUsing Grey decision making approach to ranking Key Performance Indicators (KPI) and increase effectiveness of strategic plans1351654516FAMohammad TaghiTaghavifardAmir MahdiMalekJournal Article20091110Key Performance Indicators, help an organization to define and measure the progress of organization toward organizational goals. Key Planned Performance Indicators (KPPI) are the tools for measure the progress of organization toward goals and strategic. Since the Decision Makers are concerned with these attributes and indices in uncertain environments, selection of these indices is a Multiple-Attribute Decision-Making problem. In the past, several methods such as the linear weighting methods, AHP, TOPSIS, Fuzzy Logic and Mathematical programming have been used to solve the indices selection problem. In this thesis, we give a new grey-based approach to deal with the indices selection problem with regards to organizational strategic plans. Firstly, the weights and ratings of strategic- base attributes for all alternatives are described by linguistic variables that can be expressed in grey numbers. Secondly, using a Grey Possibility Degree (GPD), the ranking order of all alternatives is determined. Finally, an example of indices selection for instruction and research department of IRIB is used to illustrate the proposed approach.Key Performance Indicators, help an organization to define and measure the progress of organization toward organizational goals. Key Planned Performance Indicators (KPPI) are the tools for measure the progress of organization toward goals and strategic. Since the Decision Makers are concerned with these attributes and indices in uncertain environments, selection of these indices is a Multiple-Attribute Decision-Making problem. In the past, several methods such as the linear weighting methods, AHP, TOPSIS, Fuzzy Logic and Mathematical programming have been used to solve the indices selection problem. In this thesis, we give a new grey-based approach to deal with the indices selection problem with regards to organizational strategic plans. Firstly, the weights and ratings of strategic- base attributes for all alternatives are described by linguistic variables that can be expressed in grey numbers. Secondly, using a Grey Possibility Degree (GPD), the ranking order of all alternatives is determined. Finally, an example of indices selection for instruction and research department of IRIB is used to illustrate the proposed approach.https://jims.atu.ac.ir/article_4516_c189b12cdec94a005bf4d5a9a6b30152.pdfAllameh Tabataba'i UniversityIndustrial Management Studies2251-802992220110923Recognizing and Classifying Policies, Solutions and Plans for Promoting Small and Medium Enterprises: A case study of IranRecognizing and Classifying Policies, Solutions and Plans for Promoting Small and Medium Enterprises: A case study of Iran1671904517FAHabibRoodsazZiaRashvandMohammad RezaHanafizadehJournal Article20110110The importance of industrial development in developing countries has led many countries to establish and strengthen small and medium enterprises (SMEs) and to benefit from it as a job-maker strategy for improving competitive ability and increasing the exports. Because over 90% of enterprises in Iran are (SMEs), they should be highly paid attention. In this paper, the plans of improvement and growth of SMEs among twenty countries of the world (most of them are developed countries) are assessed and these factors are categorized in six main dimensions. The selected factors are presented to over 100 managers, experts and pundits of country's industrial cities in the form of questionnaire and the plans of improvement and growth of SMEs are extracted. Finally, the plans of improvement and growth of SMEs in terms of experts' opinions are divided and examined into four categories: obstacles, correction, requirement and deletion. Paper concludes that the most important obstacle of achievement of SMEs in terms of experts' opinions is chain and network obstacle.The importance of industrial development in developing countries has led many countries to establish and strengthen small and medium enterprises (SMEs) and to benefit from it as a job-maker strategy for improving competitive ability and increasing the exports. Because over 90% of enterprises in Iran are (SMEs), they should be highly paid attention. In this paper, the plans of improvement and growth of SMEs among twenty countries of the world (most of them are developed countries) are assessed and these factors are categorized in six main dimensions. The selected factors are presented to over 100 managers, experts and pundits of country's industrial cities in the form of questionnaire and the plans of improvement and growth of SMEs are extracted. Finally, the plans of improvement and growth of SMEs in terms of experts' opinions are divided and examined into four categories: obstacles, correction, requirement and deletion. Paper concludes that the most important obstacle of achievement of SMEs in terms of experts' opinions is chain and network obstacle.https://jims.atu.ac.ir/article_4517_84ff8e63bf5768b6302a79d9e86a2ce2.pdfAllameh Tabataba'i UniversityIndustrial Management Studies2251-802992220110923Applications Of neural networks in business and managerial forecasting and comparative with nonlinear models
Case study: Iran wood industryApplications Of neural networks in business and managerial forecasting and comparative with nonlinear models
Case study: Iran wood industry1912084518FAMahdiKazemiAli AkbarNiknafsVahidRanjbarJournal Article20101016Often, the nature of many real life processes, especially in management and business fields are nonlinear. Forecasting the behavior of these processes requires accurate and effective forecasting tools. Shortages of such processes are removable by artificial neural network as an important modeling tool in business forecasting problems. In a comparing analyze, this paper shows the excellent performance of neural network in forecasting nonlinear processes rather than other forecasting models. For this, production, import and import value (dollar) data, related to wood industry of Iran, from 1961 to 2007 are studied. First, applying this data to neural network model and nonlinear models obtained from MATLAB software, the Iran wood industry was forecasted and then based on MAPE<sup>1</sup>, yielded outcomes from both models compared. Study findings show that in all cases neural network has more successful performance than models from MATLAB.Often, the nature of many real life processes, especially in management and business fields are nonlinear. Forecasting the behavior of these processes requires accurate and effective forecasting tools. Shortages of such processes are removable by artificial neural network as an important modeling tool in business forecasting problems. In a comparing analyze, this paper shows the excellent performance of neural network in forecasting nonlinear processes rather than other forecasting models. For this, production, import and import value (dollar) data, related to wood industry of Iran, from 1961 to 2007 are studied. First, applying this data to neural network model and nonlinear models obtained from MATLAB software, the Iran wood industry was forecasted and then based on MAPE<sup>1</sup>, yielded outcomes from both models compared. Study findings show that in all cases neural network has more successful performance than models from MATLAB.https://jims.atu.ac.ir/article_4518_729a1ba3dd8f80dd6321ea63a1441deb.pdfAllameh Tabataba'i UniversityIndustrial Management Studies2251-802992220110923Developing a Fuzzy-Stochastic Multi Objectives Inventory ModelDeveloping a Fuzzy-Stochastic Multi Objectives Inventory Model2092354519FAMohammad AminNayebiAbbassPanahiniaJournal Article20090706In this paper we developed an inventory model in mixed imprecise and uncertain environment. Presented model is developed form of (r,Q) and is a multi-items model with two objectives as minimizing costs (holding & shortage) and risk level under constraints including available budgetary, the least service level, storage spaces & allowable quantities of shortage. Demand distribution functions are assumed to be exponential and extra demands are supposed in two situations as lost sales and backlogging. At first we develop crisp model then fuzzy stochastic model with fuzzy budgetary, allowable quantities of shortage and shortage spaces (i.e. stochastic with normal distribution function) parameter. All of fuzzy numbers are triangular type. In methodology of solution we change model to a crisp multi-objective by using difuzzification of fuzzy constraints and fuzzy chance-constrained programming methods, and then solve it by fuzzy logic method. Finally an illustrated example is taken and solved using LINGO package.In this paper we developed an inventory model in mixed imprecise and uncertain environment. Presented model is developed form of (r,Q) and is a multi-items model with two objectives as minimizing costs (holding & shortage) and risk level under constraints including available budgetary, the least service level, storage spaces & allowable quantities of shortage. Demand distribution functions are assumed to be exponential and extra demands are supposed in two situations as lost sales and backlogging. At first we develop crisp model then fuzzy stochastic model with fuzzy budgetary, allowable quantities of shortage and shortage spaces (i.e. stochastic with normal distribution function) parameter. All of fuzzy numbers are triangular type. In methodology of solution we change model to a crisp multi-objective by using difuzzification of fuzzy constraints and fuzzy chance-constrained programming methods, and then solve it by fuzzy logic method. Finally an illustrated example is taken and solved using LINGO package.https://jims.atu.ac.ir/article_4519_d2147f8e57884b5e4afbc4a7f024cfb5.pdf