Seyed Faramarz Ghoreni
Volume 8, Issue 18 , September 2010, , Pages 161-186
Abstract
At the present time, suitable and on time response to customers need’s is the most important factor for success, and many organizations focus on quality according to ISO standards. This quantitative - descriptive study, was conducted related to the barriers and problems of ISO implementation in ...
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At the present time, suitable and on time response to customers need’s is the most important factor for success, and many organizations focus on quality according to ISO standards. This quantitative - descriptive study, was conducted related to the barriers and problems of ISO implementation in manufacturing companies, reviewing the critics and supports toward the ISO all over the world and then investigates the reason for mal implementation in manufacturing companies of the country.
Research data were gathered through al 9 item questionnaire regarding the implementation of ISO standards (ISO 9000:2000) in lickerts format.
The society of study includes all companies intending to achieve ISO 9000:2000 supervised by the ministry of industry in Tehran province. It was requested that, three middle level managers answer the questions. After two months, 54 companies completed the questionnaires.
Results showed that the implementation of ISO management system in every organization’s needs are foundation procedure and also top level managers and authorities should accept such process in their organizational management practice. Such evidence was not observed in this study and in contrast there was a little trend in this field which did not motivate the managers to provide the needed infrastructure for documentation, data transfer and contribution with other management levels. It seems that top level managers of Iranian Industrial companies do not pay significant attention to such important problem and it will be followed by many negative consequences for local manufacturing centers in their future competition in the world economy.
Mohammad bagher fakhrzad,; Zohre Noormogamadzade
Volume 13, Issue 38 , October 2015, , Pages 163-182
Abstract
This paper considers production scheduling and delivery problem together and is trying to integrate both of them. Retailers order includes different types of products that have been processed at a distribution center. After completing the order process at the distribution center, products are delivered ...
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This paper considers production scheduling and delivery problem together and is trying to integrate both of them. Retailers order includes different types of products that have been processed at a distribution center. After completing the order process at the distribution center, products are delivered to the retailer in window time; otherwise the distribution center is required to pay the penalty cost of window time to the retailer. The aim of solving this problem is to determine the production sequence, retailer need to heterogeneous vehicles and the visiting sequence of retailers with respect to the delivery window time. In this paper, a mixed integer linear programming model is provided in which the total cost, including the cost of vehicle routing, fixed costs and penalty costs have been minimized.in order to solve the proposed mathematical model , two approaches of CPLEX solver of GAMS software and Relaxation Lagrangian algorithm have been used. At first, by using different samples, the efficiency of Lagrangian Relaxation algorithm had been confirmed in small sizes, and then it is used in order to obtain an acceptable optimal solution in large sizes in a reasonable period.
Hadi Hematiyan; Meysam Sarreshtehdar; Hassan Hadipour
Volume 9, Issue 23 , December 2011, , Pages 163-186
Abstract
The present study aims at optimizing the vehicle brake drum assembling process. Considering the crucial role of the Axle unit, especially its vehicle brake drum which is related to the safety of the passengers, the study of the producing and assembling processes and conducting the quality control experiments ...
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The present study aims at optimizing the vehicle brake drum assembling process. Considering the crucial role of the Axle unit, especially its vehicle brake drum which is related to the safety of the passengers, the study of the producing and assembling processes and conducting the quality control experiments during these stages is of great importance. With regard to the great significance of three main factors, namely, seal-oil spindle diameter, seal-oil internal diameter, and nut lock torque as independent variables, the present research attempts to optimize the rotatory torque of the automobile brake drum getting help from the discussions in the RSM and the unsteady of the automobile brake drum getting help from fuzzy regression using least absolute deviation estimators. Finally optimal solution perused by nonlinear programming model and Genetic Algorithm using one of multi-objective existing methods (LP-metric). Comparing the two optimization methods is shown that the GA technique has better performance rather than nonlinear programming model.
Keyvan Shahgholian; Meysam AlizadehSiyahkal
Abstract
One of the important issues to reducing waste and therefore increasing productivity in manufacturing enterprises is good production layout. Organizations can make production flow layouts productive by following up lean thinking model, thereby producing final products with minimal waste. This paper aims ...
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One of the important issues to reducing waste and therefore increasing productivity in manufacturing enterprises is good production layout. Organizations can make production flow layouts productive by following up lean thinking model, thereby producing final products with minimal waste. This paper aims to provide a model to aid industry managers’ decision-making process for choosing the most appropriate production flow layout pattern with respect to the amount of waste in production units. This model considers inventory level, transport, lead time and product quality. To evaluate and choosing layouts based on the forgoing criteria, a fuzzy inference system was employed. The system input is rating of each layout of production flow for each criterion, which was obtained by ANP method, and its output is the amount of waste of each layout for production flow. In order to simulate the proposed fuzzy inference system, Matlab software was utilized. Finally, product layout with a quantitative difference compared to group technology (cellular) layout, took up the least amount of waste and was considered as the most suitable of lean production flow layout for the case firm.
Ali Bonyadi Naeini; Saeed Yousef; Mohammad Ali Faezirad
Abstract
Today evaluation of customers to classify the quality of providing services is one of the main challenges of decision-makers in different organizations. It is difficult to respond to all customers’ demands because of increasing volume of them. On the other hand, in current competitive markets, ...
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Today evaluation of customers to classify the quality of providing services is one of the main challenges of decision-makers in different organizations. It is difficult to respond to all customers’ demands because of increasing volume of them. On the other hand, in current competitive markets, customers are considered as capital of organizations. This issue results in purposefully study on different groups of customers in competitive markets. One of the effective ways to study the customers and provide the optimism service to them is grouping the market and clustering the customers. In this research first customers classified in appropriate clusters using neural network techniques SOM in order to provide purposefully service , so each customer can deliver proper service according to its cluster. Then by the proposed model in the paper the membership of each client in the appropriate cluster can be predicted by using DEA-DA technique. This model has provided dynamic clustering process for organizations so that by which new customers will be assessed at any moment and their proper cluster is determined with reasonable accuracy.
Jamshid Salehi Sadaghiani
Volume 6, Issue 15 , March 2007, , Pages 167-184
Abstract
The methodology of six-sigma is one of process improvement’s approaches that its aim is efficiency improvement of process, stability, customers’ satisfaction and cutting deviations such as wastage, reworking and costs. Heretofore different techniques have been introduced for achieving to ...
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The methodology of six-sigma is one of process improvement’s approaches that its aim is efficiency improvement of process, stability, customers’ satisfaction and cutting deviations such as wastage, reworking and costs. Heretofore different techniques have been introduced for achieving to this aims, so that one of their most efficient is Design of Experiments (DOE). The DOE technique is a scientific method for introducing the main parameters related to a process, where specifies the optimal application of this parameters for increasing the performance and the capacity of process. In this paper, application of the DOE is illustrated in the six-sigma methodology to decrease process time of outsourcing contracts adopting of industrial services engineering of Iran khodro corporation (ISEIKCO) and will be determined the principle parameters which affect on time of this process. Also, statistical analysis will be used for specifying the counteract affect of effective parameters and are proposed an improvement approaches to decrease processing time, where finally the obtained results will confirm the time efficiency improvement of outsourcing process.
Maghsoud Amiri
Volume 6, Issue 16 , June 2007, , Pages 167-188
Abstract
Selection of appropriate machine tools for a manufacturing company, because that effects on product process, is a very important. But by imprecise information, the selection will be complicated. The VIKOR method is one of new methods for solving problems of multiple criteria decision making where its ...
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Selection of appropriate machine tools for a manufacturing company, because that effects on product process, is a very important. But by imprecise information, the selection will be complicated. The VIKOR method is one of new methods for solving problems of multiple criteria decision making where its objective is selecting the best alternative based on the closest feasible solution to the ideal solution. In this article will be proposed a fuzzy approach for the VIKOR method where rating alternatives and importance weights of criteria are considered as fuzzy numbers. Also in the proposed method, importance weight of DMs thoughts is considered different. For illustrating the proposed method, a numerical example about machine tools selection has been presented for illustrating the proposed method, where criteria of alternatives evaluation are flexibility, confidence ability and maintainability of machines.
Habib Roodsaz; Zia Rashvand; Mohammad Reza Hanafizadeh
Volume 9, Issue 22 , September 2011, , Pages 167-190
Abstract
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 ...
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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.
Mani sharifi; Ghasem cheragh
Volume 13, Issue 39 , January 2016, , Pages 171-188
Abstract
This paper presents a mathematical model for a redundancy allocation problem (RAP) for the series-parallel system with k-out-of-n subsystems and failure rate depends on working components of system. It means that failure rate of components increases when a component fails. The subsystems may use either ...
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This paper presents a mathematical model for a redundancy allocation problem (RAP) for the series-parallel system with k-out-of-n subsystems and failure rate depends on working components of system. It means that failure rate of components increases when a component fails. The subsystems may use either active or cold-standby redundancy strategies, which considered as a decision variable for individual subsystems. Thus, the proposed model and solution methods are to select the best redundancy strategy among active or cold-standby, component type, and levels of redundancy for each subsystem. The objective function is to maximize the system reliability under cost and weight constraints. To solve the model, since RAP belongs to Np-Hard class of the problems, one effective meta-heuristic algorithm named genetic algorithm (GA)is proposed. Then, response surface methodology is applied for algorithm parameter tuning.Finally, we consider the results of solving presented model with a numerical example
Reza Sepahvand; Ali Shariat Nejad
Volume 13, Issue 36 , April 2015, , Pages 173-198
Abstract
The aim of this article is identify the factors that have effect on competitive intelligence, competitive ability and industrial competitiveness in Lorestan industrial estates and survey the effect of competitive intelligence on competitive ability and industrial competitiveness in Lorestan industrial ...
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The aim of this article is identify the factors that have effect on competitive intelligence, competitive ability and industrial competitiveness in Lorestan industrial estates and survey the effect of competitive intelligence on competitive ability and industrial competitiveness in Lorestan industrial estate. The research objective was applied and the research type was analytical survey. The statistical population was made up of over of firms and factory that work in Lorestan industrial estates. People the sample size was 140 cases which were obtained using random sampling - stratification. The validity of questionnaire was proved using content validity method and their reliability using Cronbach's alpha. In this article to test hypothesis and conceptual model structural equation approach and Amos 18 software were used. The result show that competitive intelligence have significant effect on competitive ability and industrial competitiveness in Lorestan industrial estates. Also the results show that the factors that have effect on competitive intelligence are market intelligence, competitor intelligence, technologic intelligence and strategic intelligence. In added to the factors that have effect on competitive ability identified are organizational performance, HR management, costumer and technologic and innovation management. Also the results show that market oriented performance, costumer oriented performance, and competitor’s oriented performance and internal performance have effect on industrial competitiveness.
Samuel Yousefi; Serveh Kakaei; Mustafa Jahangoshai Rezaee
Abstract
Delay is a common occurrence in the country's construction projects. Identifying delay factors in these projects and determining the influence of these factors is necessary to achieve the objectives of management. In this study, the effective delay factors on construction projects are identified by using ...
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Delay is a common occurrence in the country's construction projects. Identifying delay factors in these projects and determining the influence of these factors is necessary to achieve the objectives of management. In this study, the effective delay factors on construction projects are identified by using previous studies, project documents and experts opinions. Since these factors affect on each other, the fuzzy cognitive map has drawn for effective factors and assessment factors or management objectives. Then, the effect of each factor on the assessment factors are evaluated by using hybrid learning algorithm and prioritization factors are done by using fuzzy data envelopment analysis. The results of the survey in West Azerbaijan province show that “supervision technical weaknesses for overcoming technical and executive workshop problems”, “inaccurate estimate of workload, required equipments and project time” and “the multiplicity of decision centers on the doing of projects” are the most important delay factors in construction projects
hassan hadipour; Seyyed Ali paytakhti oskooe; Yaghoub Alavi Matin; Kamaleddin Rahmani
Abstract
The capital market, especially the stock market, is as risky as any other investment activity and is affected by overflow fluctuations and instabilities from other markets. In the face of other macroeconomic variables, this causes instability in the stock market. In the present study, using conditional ...
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The capital market, especially the stock market, is as risky as any other investment activity and is affected by overflow fluctuations and instabilities from other markets. In the face of other macroeconomic variables, this causes instability in the stock market. In the present study, using conditional turbulence method, the factors affecting on instability index in basic metals industry sector of Tehran Stock Exchange was investigated and presented. For this purpose, monthly data from April 2009 to April 2020 were used. The results of the present study indicate that fluctuations in the industrial sector are caused by factors such as political conflicts and international problems in Iran and are strengthened by fluctuations in parallel markets such as oil, gold and currency. According to the results of the research, factors outside the stock market industry due to the underdevelopment of the stock market in Iran; From the point of view of the analyzes performed, the most important effect and factor causing fluctuations is the section of political tensions and international relations in Iran, which has effects. It is uncontrollable on parallel markets in Iran and ultimately the effect of all of them is reflected in the stock market.
Mohammad Reza Taghva; Mehrdad Kazeruni; Mohammad Taghi Taghavifard; Mohammad Rahmani
Volume 4, Issue 12 , March 2006, , Pages 183-211
Abstract
One of the important aspects of ERP both for practitioners and researchers are the “implementing considerations”. While companies worldwide have spent considerable investments on the ERP systems, but they've confronted unexpected problems and realization of its final benefits is blurred. ...
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One of the important aspects of ERP both for practitioners and researchers are the “implementing considerations”. While companies worldwide have spent considerable investments on the ERP systems, but they've confronted unexpected problems and realization of its final benefits is blurred. In order to implement ERP with minimum risk and assured ROI, it’s necessary' to identify the organizational parameters affecting it positively or negatively. This study aims at describing proper organizational conditions for this organizational system, for Iranian manufacturing industries, and Irankhodro Company as a case. This organizational condition has been investigated in an organizational Architecture framework. OA has been viewed from a plan/design view and the research model has been developed as a variable called design coherence and its effect on the ERP success. Design coherence, is the coherence between HR attitudes about the dimensions of the organization and the real design. The results show that in the proper OA for ERP there exists design coherence. This finding is verified through existing evidences obtained from past studies. Regarding the case company, Irankhodro we can say that the aforementioned organization should move toward this coherence in order to preparation for ERP. Managing the system reliability regarding the organizational information systems (EISs) is an important consideration which merit attention for maximizing the benefits of investigation on such an expensive information system called ERP.
Morteza Shafiee
Abstract
One of the challenges facing the cement industry today, managing the supply chain. Lack of supply chain management, the cement industry has serious problems volatility and the price difference by the manufacturer and the retailer has faced. Usually when a lack of resources and goods in a retail occurs, ...
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One of the challenges facing the cement industry today, managing the supply chain. Lack of supply chain management, the cement industry has serious problems volatility and the price difference by the manufacturer and the retailer has faced. Usually when a lack of resources and goods in a retail occurs, the customer may go to another retailer. This phenomenon is often called the customer search behavior. This study analyzes a manufacturer and two retailers in a two-echelon supply chain using game theory (Nash equilibrium, balance Stackelberg) with the customer market approach to fars cement industry. The method for the purpose of collecting data item. Enjoying the view of experts, information available on the main site Fars and determine the parameters of the model and software Mathematica functions to solve mathematical equations and plot discussed. The results of this study show that with current conditions and utility functions defined for the issue, to determine wholesale prices for producers in order to maximize profits Is not their own, so the manufacturer must consider market conditions to determine the wholesale price.
Moslem Peymany Foroushany; Amir Hossein Erza; maryam hamidizadeh; Mahdi Asgharzadeh
Abstract
The formation of the optimum portfolio based on risk and return is one of the most important decisions of investors in financial markets, for which there are various methods. Markowitz’s Mean-Variance method was the first method introduced in this area; but because of the normality assumption for ...
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The formation of the optimum portfolio based on risk and return is one of the most important decisions of investors in financial markets, for which there are various methods. Markowitz’s Mean-Variance method was the first method introduced in this area; but because of the normality assumption for the return distribution function, it only considered specific characteristics (expected return and variance) of the return distribution function. Another method introduced years later was the Stochastic Dominance method which considers all of the return distribution function instead of specific characteristics such as variance. The present research investigates the “Stochastic Dominance method” in portfolio optimization and compares the performance of this method with “Markowitz Portfolio Optimization method” using performance evaluation criteria in the Tehran Stock Exchange. The performance evaluation criteria used in this article are: Sharpe, Treynor, Sortino and Omega. The results of this research indicate the advantage of Second Order Stochastic Dominance method on the Markowitz method in out-of-sample and in-sample approaches. Moreover the Second Order Stochastic Dominance method has a higher cumulative return than the Markowitz method.
Alireza Alinezhad; Esmaeil Ghorbanian Farah Abadi
Volume 13, Issue 37 , July 2015, , Pages 187-219
Abstract
The branches are more efficient to develop. This paper presents a model for evaluating the performance of the software companies that provide similar services to customers in various profound. Various parameters of the model to cover the interests of stakeholders, customers and ... To provide performance ...
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The branches are more efficient to develop. This paper presents a model for evaluating the performance of the software companies that provide similar services to customers in various profound. Various parameters of the model to cover the interests of stakeholders, customers and ... To provide performance measurement systems in the Charter of the method used. Performance evaluation and assessment of various aspects such as the interests of employees, customers, shareholders and ... Is to be calculated. The performance of these branches according to the criteria developed by inconclusive data model of fuzzy data envelopment analysis to measure
Mahnaz Afrasiyabi; Ahmad Sadeghi
Abstract
In this paper classical inventory models, EOQ and EPQ, are developed considering holding and purchasing costs as an increasing continuous function of the ordering cycle time. Two models are presented: first one is economic order quantity and the second one is economic production quantity. Both models ...
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In this paper classical inventory models, EOQ and EPQ, are developed considering holding and purchasing costs as an increasing continuous function of the ordering cycle time. Two models are presented: first one is economic order quantity and the second one is economic production quantity. Both models are formulated such that backorder is not permitted. Since the obtained model is a type of nonlinear continuous program, solving it with exact methods is impossible at the reasonable time, hence genetic algorithm and particle swarm optimization algorithm are presented to solve the problems. In addition, to increase effectiveness of algorithms, Taguchi method is used for parameters tuning. Finally a numerical example is presented to comprise two methods and results are illustrated.
Alireza Alinezhad; seyed reza Zamani
Abstract
Data Envelopment Analysis and Balanced Scorecard, are two common tools that have been used by many researchers for performance evaluation. But none of them investigate effectiveness of BSC indicators in efficiency evaluation. Due to complexity of mission and evaluation criteria for operating organizations ...
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Data Envelopment Analysis and Balanced Scorecard, are two common tools that have been used by many researchers for performance evaluation. But none of them investigate effectiveness of BSC indicators in efficiency evaluation. Due to complexity of mission and evaluation criteria for operating organizations in media industry, they want to know suitable indicators for effectiveness evaluation, also the role and importance of these indicators in organization efficiency. With responding to these questions, organizations can allocating resources and take decisions according to the importance of determined criteria. In this paper we purpose a novel and hybrid model of DEA and cooperative game theory to rank the effectiveness of BSC indicators in efficiency evaluation for iran media industry. Results show that (profitability ratio, size of audience, human resource satisfaction rate, accuracy in production, velocity of propagation and satisfied audience percentage) are respectively most important indicators. Therefore, with considering importance of criteria and resources constraints managers can take better decisions
Mojtaba Heravi; Tabassom Azimi galeh; Hessam Zandhessami
Abstract
Decision making (DM) is an important problem in most of the armyoperations. One of the challenging issues in this area is uncertainty in warswith uncertain information which causes many destructive effects on theresults of strategies in battlefields. In the Heravi et al. article’s, published inthe ...
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Decision making (DM) is an important problem in most of the armyoperations. One of the challenging issues in this area is uncertainty in warswith uncertain information which causes many destructive effects on theresults of strategies in battlefields. In the Heravi et al. article’s, published inthe year 2013, utilizing a combination of Cognitive Agent (CA) andClassification based on Fuzzy Association Rules (CFAR) as the mosteffective and widely used methods, was able to relatively reduce thisproblem and tried to reduce uncertainty. But still in critical condition, can’tdeny the need to act quickly and remove most invalid and inefficient rulesextracted in the effective decisions.This paper aims to utilize the capabilities of Genetic Algorithm (GA) in amore realistic selection rules as a meta-heuristic way to combinecomplementary methods to minimize the uncertainty in DM. In comparisonwith previous method, experimental results achieved, clearly show that thiscombination in addition to the advantages of the previous method, due to thefurther reduction of production rules for DM, are more understandable andaccurate and has more rational risk acceptance.
Siamak Kheybari; Mostafa Kazemi
Abstract
TOPSIS is located in compensatory decision-making methods. The basic principle is that the chosen alternative should have the shortest distance from the positive ideal solution and the longest distance from the negative ideal solution. The existence of incremental and decreasing uniform trend in positive ...
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TOPSIS is located in compensatory decision-making methods. The basic principle is that the chosen alternative should have the shortest distance from the positive ideal solution and the longest distance from the negative ideal solution. The existence of incremental and decreasing uniform trend in positive and negative criteria is one of the TOPSIS characteristics in determining positive and negative ideal points. While the utility assigned to the decision maker after a certain level in each criterion will be less tangible. Therefore, in the ranking of alternatives in addition to the value of each alternative in each indicator, the balance among criteria of each alternative should be considered so the alternative that has an appropriate place in an important indicator, but does not have an appropriate place in other criteria, not to be the first chance for selecting. For this purpose, in this paper by adding virtual dimension to the decision matrix that comes from the deviations among criteria of each alternative, we have tried to compensate the mentioned weakness. To evaluate the proposed method, three different examples are presented. Thus, each of the three provided examples, solved by proposed method, TOPSIS, VIKOR, Deng and SAW and then by using the Spearman correlation coefficient the number of significant correlation relationships between the proposed method and TOPSIS with the other three methods were compared. Then, the rating similarity percentage of the proposed method and TOPSIS were compared with VIKOR, Deng and SAW.
Mohammad Nazaripour; Fahime Mirzaee
Abstract
The purpose of this study is to investigate the impact of two important component of strategic cost management (SCM) (executional cost management and structural cost management) on financial performance. For this purpose, one specific context is investigated, namely environmental costs. The environmental ...
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The purpose of this study is to investigate the impact of two important component of strategic cost management (SCM) (executional cost management and structural cost management) on financial performance. For this purpose, one specific context is investigated, namely environmental costs. The environmental costs reflect an ‘executional’ aspect aimed at managing, controlling and optimizing costs for a given environmental strategy, but also a ‘structural’ aspect based on their influence on the firm's cost structure notably in terms of product design, raw materials used and operational process design. Survey data have been collected on a sample of 126 Esfahan’s manufacturing firms. In order to analyze the research hypotheses Pearson correlation matrix and the structural equation model were used. According to the research findings, tracking of environmental costs and implementation of environmental initiatives have significant effects on financial performance. Executional cost management (the tracking of environmental costs) and structural cost management (the implementation of environmental initiatives) are related to each other and they act together to contribute to financial performance. Finally, through improving the current cost structure and providing new initiatives regarding cost structure, the tracking of environmental costs has influence on financial performance.
Saeed Alinezhad; Seyyed-Mahdi Hosseini-Motalgh
Abstract
Most studies on decision making issue have supposed the problem in deterministic environment, and because uncertainty makes the decisions taken suboptimal, so in this paper we propose a credibility based fuzzy model for the Vehicle Routing Problem with Simultaneous Delivery and Pickup and Time Windows ...
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Most studies on decision making issue have supposed the problem in deterministic environment, and because uncertainty makes the decisions taken suboptimal, so in this paper we propose a credibility based fuzzy model for the Vehicle Routing Problem with Simultaneous Delivery and Pickup and Time Windows (VRPSDPTW). The dispatching cost of vehicles and customers’ time windows are supposed to be trapezoidal fuzzy numbers. We also proposed a hybrid meta-heuristic algorithm called Improved Particle Swarm Optimization (IPSO) for solving the problem. The proposed algorithm is the combination of Particle Swarm Optimization (PSO) and some removal and insertion techniques which helps to improve the searching ability and maintain diversity of solutions. Finally, to demonstrate the applicability of the proposed model in the real world we studied the distribution of dairy products among customers by a distribution company in Fars province. The computational results show that distributors can use this method to reduce operating costs of the company.
Amir Hossein Nobil; َAbolfazl Kazemi
Abstract
Carbon emissions related to energy consumptions from the manufacturing industry have become a substantial part of environmental burdens. Carbon emissions related to energy consumptions from the manufacturing industry have become a substantial part of environmental burdens. This study presents carbon ...
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Carbon emissions related to energy consumptions from the manufacturing industry have become a substantial part of environmental burdens. Carbon emissions related to energy consumptions from the manufacturing industry have become a substantial part of environmental burdens. This study presents carbon emission constraint into the economic lot scheduling problem to reduce carbon emissions. The aim of this research to satisfy customer demand for various items over the planning horizon, with an objective to minimize total costs, includes setup, production, rework and holding costs. In this problem, it is assumed that the production process is defective, and during the process some of the goods are produced with undesirable quality. Defective products can be sold using a rework process. This proposed model has been proven to be a nonlinear convex programming problem. Hence, the optimal solution of this proposed model can be obtained using the derivative method. Finally, a hypothetical example is solved to demonstrate the performance of the proposed exact solution algorithm.
Mojtaba Rezaei Zivlaei; hesam zandhesami
Abstract
The related researches show different results from the relationship between aspects of quality management and innovation performance. Most researches examined the direct relationship between quality management and organizational innovation performance, but the effective aspects of quality management ...
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The related researches show different results from the relationship between aspects of quality management and innovation performance. Most researches examined the direct relationship between quality management and organizational innovation performance, but the effective aspects of quality management have not been thoroughly investigated, so the present study considered clarifying the aspects of quality management and their impacts on organizational innovation performance. The purpose of this study is to investigate the impact of soft and hard aspects of quality management on innovation performance by mediating the role of employees' proactive behavior and technological innovation capability. Because the current situation has been studied and analyzed in this applied research, the method used is analytical-survey. The statistical population of this study are 400 knowledge-based companies in the field of laboratory equipment and materials manufactured in Iran who participated in the 6th exhibition of this field at Tehran International Exhibition. Theoretical bases were used to collect the relevant data, as well as to extract primary factors and indices from library and internet resources including articles, books and case studies. Also, during the process of attending the exhibition, questionnaires were used to collect the data and information needed to investigate the research hypotheses. Inferential statistics indices were determined and extracted according to the desired dimensions. After checking the validity and reliability of the questionnaire, the data normality test was performed using Kolmogorov-Smirnov test, then we analyzed the hypotheses using Structural Equation Modeling and SmartPLS and SPSS software. The results show that 5 hypotheses out of 8 proposed hypotheses were confirmed and it was found that soft quality management mediated by innovation capability and proactive behavior of employees had significant effect on innovation performance and hard quality management had significant effect on innovation capability. Also, innovation capability significantly affects the innovation performance of the organization.
Zahra Safari
Abstract
By increasing attention to environmental issues, the problem of design closed-loop supply chain has been more important. The integrated design of closed-loop supply chains as one of the most important issues in the management of supply chains involve determining the location and number of required facilities ...
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By increasing attention to environmental issues, the problem of design closed-loop supply chain has been more important. The integrated design of closed-loop supply chains as one of the most important issues in the management of supply chains involve determining the location and number of required facilities (production, collection, recycling and disposal) in the forward and reverse supply chain, inventories in every facility and flows between them. In this paper, a closed-loop supply chain with diverse products (multi-product) has been studied and a linear bi-objective mathematical model is proposed to reduce the total costs and the emissions in the network with determining the strategic and operational variables. Because of the uncertainty in parameters of proposed model such as customer demands or returns, the proposed model under uncertainty (robust optimization) is developed. The closed-loop supply chain of glass bottles is studied and modeled to minimize the total costs and production of carbon dioxide by proposed model. Finally, a sensitivity analysis of robust optimization model was conducted.
