Reza Abasi; Jamshid Salehi Sadaghiani; Maghsoud Amiri
Volume 13, Issue 38 , October 2015, , Pages 79-98
Abstract
There are several different factors in industrial processes, which may have an impact on final product specifications. In this paper, the nonlinear multi-objective mathematical modeling for the 5 qualitative characteristics of polyethylene terephthalate (PET) as one of the most widely used products in ...
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There are several different factors in industrial processes, which may have an impact on final product specifications. In this paper, the nonlinear multi-objective mathematical modeling for the 5 qualitative characteristics of polyethylene terephthalate (PET) as one of the most widely used products in petrochemical industry is done by 9 Key parameters affecting the production process. For this purpose, Response Surface Methodology that is the combination of experiments design and statistical tests is applied along with Artificial Neural Network and Metaheuristic algorithms.
Reza Alikhani; Mahmoud Saremi
Abstract
The scheduling of preventive maintenance and replacement is one of the crucial issues in the literature of system reliability and maintenance engineering. The importance of this issue is more evident in series system in which by stopping a component the whole system will stop. However, the quest of the ...
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The scheduling of preventive maintenance and replacement is one of the crucial issues in the literature of system reliability and maintenance engineering. The importance of this issue is more evident in series system in which by stopping a component the whole system will stop. However, the quest of the efficient periodicity maintenance for all of component of a system which has antagonistic objectives is not a trivial task. The aim of this paper is to presenting scheduling model of preventive maintenance and replacement for series system by variable and not predetertmined periods and also by applying inflation in the model. The model is designed based on fuzzy multi-objective and integer non-linear programming. Also the proposed model is solved for a case study with numerical example and furthermore, analysis of various senarios, the effects of inflation on the model will be considered. The results show that applying inflation in the model changes not only scheduling for replacement and maintenance, but also affects the effective age of components
kamran faizi
Laya Olfat; Maghsoud Amiri; Ebrahim Teimoury; Fatemeh Ghasemzadeh Gevari
Abstract
In today’s competitive world, supply chain management gains more attention every day. One of the most challenging topics in this field for managers and researchers is supply chain disruption management. When a disruption occurs in an echelon of a multi level supply chain, it may affect other echelon’s ...
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In today’s competitive world, supply chain management gains more attention every day. One of the most challenging topics in this field for managers and researchers is supply chain disruption management. When a disruption occurs in an echelon of a multi level supply chain, it may affect other echelon’s performance in that supply chain as well. The main objective of current research is helping decision makers to choose best supply, production and ordering quantity between echelons so that after disruption occurrence, SC recovers and returns to pre-disruption plan with minimum recovering costs.In this paper, production and retailers disruptions are studied and a mathematical recovery plan is designed with objective function of minimizing total cost of supply chain in the recovery period to help all members of the supply chain in returning to normal situation. The proposed model is solved in MATLAB 2011 by the suggested heuristic method as well as GAMS software. Finally, results of both solvers are compared which shows the applicability of heuristic method
Soheila Khishtandar; Farhad Farzad; Mostafa Zandieh
Volume 8, Issue 20 , March 2011, , Pages 81-99
Abstract
Different inventory control systems try to determine how much and when to order at the least relevant cost while maintaining a desirable service level for customers. In this article, a continuous review stochastic inventory system, with three objectives, is optimized. In this model, contrary to the traditional ...
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Different inventory control systems try to determine how much and when to order at the least relevant cost while maintaining a desirable service level for customers. In this article, a continuous review stochastic inventory system, with three objectives, is optimized. In this model, contrary to the traditional inventory models, customer service is not considered a shortage cost in the objective function. But the frequency of stock out occasions and the number of items stocked out annually are to be minimized. For determining the Pareto optimal set, multi-objective evolutionary algorithms are used. First, NSGA-II, MOGA, VEGA, RWGA are developed. Then some improvements in NSGA-II mechanisms are made and R-NSGA-II is developed. Subsequently, these algorithms are examined for some criteria such as set coverage and spacing, and the best algorithms for each criteria arc presented. The Result shows that R-NSGA-II has good scores for most criteria. Afterwards, Pareto optimal set is ranked using the method of global criteria.
Seyyed Habibollah Tabatabaeian; Seyyed Kamran Bagheri
Volume 1, Issue 2 , October 2003, , Pages 83-99
Abstract
Technological progress has significantly accelerated in recent years. This makes most developing countries unable to keep up with the waves of technology development. On the other hand, there is a wide consensus that technological development has greatly affected the economical, industrial, security ...
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Technological progress has significantly accelerated in recent years. This makes most developing countries unable to keep up with the waves of technology development. On the other hand, there is a wide consensus that technological development has greatly affected the economical, industrial, security and even cultural status of countries and there is no way to be competitive in the era of globalization, unless by acquiring and strengthening local technological capabilities. On the verge of preparation of the 4th development plan of Iranian economy, national policy – makers should focus on technology development and provide its infrastructures and prerequisites as one of their major concerns.
One of the most important conceptual frameworks that have been adopted by policy–makers of developed countries is National Innovation Systems (NIS), which provides comprehensive and coherent perspective in formulation of long – term national development plans. So in this paper, we will try to illuminate the importance of national policy – making in terms of NIS concepts.
Mohammad Taghi Taghavifard; Ahmad Nadali
Volume 9, Issue 25 , July 2012, , Pages 85-107
Abstract
This research study aims at using Data Mining and Fuzzy Logicapproaches to classify the credit scoring of banking system applicantsas to cover uncertainties and ambiguity connected with applicantclasses and also variables that affect their behavior.The methodology, according to a standard Data Mining ...
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This research study aims at using Data Mining and Fuzzy Logicapproaches to classify the credit scoring of banking system applicantsas to cover uncertainties and ambiguity connected with applicantclasses and also variables that affect their behavior.The methodology, according to a standard Data Mining process, is tocollect and refine the client data, then those variables which are inlinguistic forms are converted to fuzzy variables under the supervisionof banking experts and final data are modeled using Fuzzy DecisionTree, subsequently. The unfuzzy data are also modeled using the otheralgorithms.The results of the study suggest that as far as client distinctionaccuracy is concerned Fuzzy Decision Tree produces better resultscompared to Traditional Trees, Neural Networks, and statisticalprocedures such as Logistic Regression and Bayesian Network.However, it is not as accurate as Support Vector Machine and GeneticTree. On the other hand, Fuzzy Decision Tree technique has gainedbetter prediction than prediction performance of bank credit scoringexperts.
Mohammad T. Taghavifard; Majid Gheitasi; Farzad Soltani
Volume 3, Issue 11 , December 2005, , Pages 85-113
Abstract
This research paper presents a methodology to assist enterprise decision-makers CDMs) to select from a numbers of processes during the Business Process Reengineering (BPR) according to organizational objectives. For this ...
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This research paper presents a methodology to assist enterprise decision-makers CDMs) to select from a numbers of processes during the Business Process Reengineering (BPR) according to organizational objectives. For this purpose, the proposed methodology utilizes fuzzy QFD technique to convert the qualitative data (DMs' opinion) to quantitative ones and then calculates the effects of each process on the organization objectives and criteria. Then, by using the result of fuzzy QFD, the amount of satisfaction of each process according to each criterion is calculated. By combining this data with other effective variables in BPR projects such as "cost" and "time", a multi-objective goal programming (MOOP) model is formulated and solved to identify the most appropriate business processes. Finally, an example is presented to illustrate how the methodology works. The proposed model was also applied to a public-service organization by considering three main objectives: project quality, project cost, and project time. The achieved results were quite satisfactory and promising.
Seyyed Ali Akbar Afjahe; Reza Sepahvand
Volume 6, Issue 15 , March 2007, , Pages 87-113
Abstract
Introducing strategic human resource management makes human resource management researcher the understood about the relationships between corporate strategy, human capital, human resource strategy and firm performance. One of the key mysterious subjects in this field appears to be understanding of processes ...
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Introducing strategic human resource management makes human resource management researcher the understood about the relationships between corporate strategy, human capital, human resource strategy and firm performance. One of the key mysterious subjects in this field appears to be understanding of processes and mechanisms that human resource management practices influence firm performance through them. It seems that with regard to importance of corporate strategies and their effect on firm performance, coordination between human resource, human capital and organizational strategies is one of the issues that can have significant effect on the relationship between human resource management practices and firm performance.
The main purpose of of this paper is to investigate the effect of the strategic cooperation between human resource, human capital and organizational behavior strategies on the firm performance. Data analysis shows that the firm performance would improve if there were
Coordination between human resource strategy and human capital strategy and organizational behavior strategy and also between human resource strategy and human capital strategy and organizational behavior strategy.
Finally, the results show that strategic coordination between human resource strategy and human capital and organizational behavior have significant effect on the firm performance.
Kaveh Khalili,; Maryam Tajik Khavh
Volume 13, Issue 37 , July 2015, , Pages 91-121
Abstract
Performance of supply chain usually is measured through multiple-criteria. In this paper, an integrated model is proposed to plan a supply chain with three-echelons of supply, production, and distribution considering both logistic costs and service level, concurrently. A mixed-integer linear mathematical ...
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Performance of supply chain usually is measured through multiple-criteria. In this paper, an integrated model is proposed to plan a supply chain with three-echelons of supply, production, and distribution considering both logistic costs and service level, concurrently. A mixed-integer linear mathematical programming model with two objective functions, including minimizing logistic costs, and maximizing service level is developed. Goal programming method is used to solve the proposed multi-objective mathematical programming. Finally a real case study is analyzed in order to check the applicability of proposed model and the solution approach
Mohammad Mahdi Bahrololoum; Mirfeiz Fallahshams; Ghasem Blue
Volume 13, Issue 39 , January 2016, , Pages 91-114
Abstract
In this study, the strategy of effective asset allocation under uncertainty with the capability of risk control, transaction cost reduction and favorable return realization is investigated. In order to implement this strategy and to overcome the shortfalls of classic portfolio optimization models in ...
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In this study, the strategy of effective asset allocation under uncertainty with the capability of risk control, transaction cost reduction and favorable return realization is investigated. In order to implement this strategy and to overcome the shortfalls of classic portfolio optimization models in dealing with uncertainty, the formation of an index fund using a robust approach and considering cardinality constraint became the agenda. Accordingly, in order to solve the index tracking problem, a linear programming model as minimizing the absolute deviation between the expected return of the index fund and that of the benchmark is presented. Considering the dimension of the solution space, a Meta heuristic genetic algorithm was implemented to solve the robust counterpart of the problem. The results of the analysis imply on the selection of 20 stocks as the index fund composition and indicate good performance of the index tracking funds based on criteria such as correlation, root mean square error and the excess return using out of sample data.
ASghar Aghaei; Jamshid Salehi Sadaghiani; Vajholah Ghorbanizadeh; Fatah Mikaeili
Volume 13, Issue 36 , April 2015, , Pages 95-113
Abstract
Today supply chains are working in an environment that are seeking improvement and decreasing costs and applying alternatives and strategies based on this direction. Lean strategy in one them which helps supply chains for elimination of wastes as the main aim. So, this research aims to design a model ...
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Today supply chains are working in an environment that are seeking improvement and decreasing costs and applying alternatives and strategies based on this direction. Lean strategy in one them which helps supply chains for elimination of wastes as the main aim. So, this research aims to design a model for lean supply chain with the emphasis on police environment. This is an analytic-descriptive research from the point of method and practical from the point of end. The statistical population is all managers and specialists of supply chain in Naja and 101 samples were choosed by random sampling. In this research, after designing conceptual model, we applied a researcher made questioner for gathering information and structural equation and PLS software and Friedman test were applied for considering the affections and ranking. The results showed that the dimensions of Naja lean supply chain pattern are as bellow: managerial, production and service, strategic, suppliers and customer orientation
pedram Pourkarim guilani; Mani Sharifi; parham azimi; maghsoud Amiri
Abstract
Due to the high sensitivity in applying of electronic and mechanical equipment, creating any conditions to increase the reliability of a system is always one of the important issues for system designers. Hence, making academic models much closer to the real word applications is very attractive. In the ...
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Due to the high sensitivity in applying of electronic and mechanical equipment, creating any conditions to increase the reliability of a system is always one of the important issues for system designers. Hence, making academic models much closer to the real word applications is very attractive. In the most studies in the reliability area, it is assumed that the failure rates of the system components are constant and have exponential distributions. This distribution and its attractive memory less property provide simple mathematical relationships in order to obtain the system reliability. But in real word problems, considering time-dependent failure rates is more realistic to model processes. It means that, the system components do not fail with a constant rate during the time horizon; but this failure rate changes over the time. One of the most useful statistical distributions in order to model the time-dependent failure rates is the Weibull distribution. This distribution is not a memory less one, so it was impossible to apply simple and explicit mathematical relationships as the same as exponential distributions for the reliability of a system. Therefore, researchers in this field have used simulation technique in these circumstances which is not an exact method to get near-optimum solutions. In this paper, for the first time, it is tried to obtain a mathematical equation to calculate the reliability function of a system with time-dependent components based on Weibull distribution. Also, in order to validate the proposed method, the results compared with exact solution that exists in literature.
maghsoud Amiri; mohsen shafiei nikabadi; Armin Jabbarzadeh
Abstract
In recent years, the complexity of the environment, the intense competition of organizations, the pressure of governments on producers to manage waste products, environmental pressures and most importantly, the benefits of recycling products have added to the importance of designing a closed loop supply ...
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In recent years, the complexity of the environment, the intense competition of organizations, the pressure of governments on producers to manage waste products, environmental pressures and most importantly, the benefits of recycling products have added to the importance of designing a closed loop supply chain network. Also, the existence of inherent uncertainties in the input parameters is another important factor that the lack of attention them can affect the strategic, tactical and operational decisions of organizations. Given these reasons, this research aims to design a multi-product and multi period closed loop supply chain network model in uncertainty conditions. To this aim, first a mixed-integer linear programming model is proposed to minimize supply chain costs. Then, for coping with hybrid uncertain parameters effectively, randomness and epistemic uncertainty, a novel robust stochastic-possibilistic programming (RSPP) approach is proposed. Furthermore, several varieties of RSPP models are developed and their differences, weaknesses, strengths and the most suitable conditions for being used are discussed. Finally, usefulness and applicability of the RSPP model are tested via the real case study in an edible oil industry.
S.M. Aarabi; G. Yaghobi
Volume 1, Issue 3 , January 2003, , Pages 97-123
Abstract
Stages of Strategic Management:
The Strategic Management Process Consists Of Three Stages: Strategy Formulation Strategy Implementation & Strategy Evaluation.
In This Research Indicate Just Strategy Formulation ...
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Stages of Strategic Management:
The Strategic Management Process Consists Of Three Stages: Strategy Formulation Strategy Implementation & Strategy Evaluation.
In This Research Indicate Just Strategy Formulation For Rubber & Tire Industry Tn IRAN TIRE Factory . Srtategy Formulation Includes Developing a Business Mission, Identify Organizations External Opportunities & threats , Determining Determining Internal Strengths & Weeknesses , Establishing Long - Term Objectives, Generating Alternative Srtategies & Choosing Particular Strategies To Pursue . This Research Includes 4 Stages
I-ZERO STAGE:
Establishing Mission & Long - Term Objectives.
2 - THE INPUT STAGE:
The External Assessment (Economic Factories, Social Factories, Political Factories . Technological Factories & Competitive) and then Developing External Factor Evaluation Matrix (EFE ) . The Internal Assessment (Management , Marketing, Finance, Research & Development, Production, Computer Information System, Human Resource) and then Developing Internal Factor Evaluation Matrix ( IFE ) .
3-THE MATCHING STAGE:
Developing The Threats - Opportunities - Weaknesses - Strengths ( TOWS) Matrix & Constructing The Internal - External ( IE) Matrix.
4 - THE DECISION STAGE:
Developing The Quantitative Strategic Planning Matrix (QSPM) At The End, Choose The Best Strategy For IRAN TIRE. Implementation All Stages, With CO-Working Delphi Grope & With Brainstorming Method.
Conclusion: Defensive Strategies are suitable for this factory.
S. M. A'arabi; P. Shoarian
Volume 4, Issue 12 , March 2006, , Pages 97-134
Abstract
A Hype Cycle is a graphic representation of the maturity, adoption and business application of specific technologies. Hype Cycles also show how and when technologies move beyond the hype, offer practical benefits and become widely accepted.
In other words, the hype cycle is one tool for technology assessment. ...
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A Hype Cycle is a graphic representation of the maturity, adoption and business application of specific technologies. Hype Cycles also show how and when technologies move beyond the hype, offer practical benefits and become widely accepted.
In other words, the hype cycle is one tool for technology assessment. It captures the observation of the technologies, no matter how different they are; generally follow a certain pattern with respect to hype and time over enthusiasm, followed by disillusionment, and a gradual improvement in the technology that potentially leads to maturity. The periods of over enthusiasm and disillusionment typically originate from unrealistic expectations and are reinforced by media effects.
In this article, we have introduced different dimensions of Hype Cycle and its applications, and have compared main adoption indicators of Hype Cycle between Iran and USA. Moreover, we have shown that, this tool can be used from investors, who want to invest in High-Tech Industries.
Laya Olfat; Maghsod Amiri; Ahmad Jafarian
Abstract
Cross-docking is one of the lean logistics tools that is used for uniting the shipments during the loops replacement. Cross-docking is the process of product movement form distribution centers without storage function. Vehicle routing problem in Cross-Dock external environment has much influence on cross-dock ...
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Cross-docking is one of the lean logistics tools that is used for uniting the shipments during the loops replacement. Cross-docking is the process of product movement form distribution centers without storage function. Vehicle routing problem in Cross-Dock external environment has much influence on cross-dock costs. This paper provides a model for minimizing total distance traveled by vehicles in the external environment of a cross-dock. In this paper, Vehicles routes was modeled with capacitated vehicle routing problem (CVRP) and genetic algorithm (GA) was used to solve the model. To validate responses obtained by GA, simulated annealing (SA) was used. Also, to evaluate the efficacy of two algorithms (SA & GA) in different CVRP problems in cross-dock, 10 problems with different dimensions are evaluated. The results show that in problems with smaller size GA is more efficient, whereas in large size problems SA is more efficient
modeling and simulation
Salman Abbasi Siar; Mohammad Ali Keramati; MohammadReza Motadel
Abstract
Because of the dissemination of impulse buying behavior in consumers its academic studies have increased over the last decade. Because in large stores, sales have to be increased, the behavior of consumers in impulse buying to be taken into account by the researchers and managers of the stores. The purpose ...
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Because of the dissemination of impulse buying behavior in consumers its academic studies have increased over the last decade. Because in large stores, sales have to be increased, the behavior of consumers in impulse buying to be taken into account by the researchers and managers of the stores. The purpose of this paper is agent–based simulation impulse buying behavior consumer (customers) considering the discount, the optimal time of customer presence in stores from the point of view the store managers and learning from previous buying. The population and the statistical sample of the present study include 15 academic professors who are expert in impulse buying and marketing topics. The present study is executive in terms of purpose. It is mathematical in terms of data type and modeling method. This model examines the existing reality of consumer buying behavior to develop impulse buying models in the agent-based simulation environment by Netlogo software. After reviewing the theoretical foundations and research background 5 dimensions and seventeen indicators have been identified by fuzzy screening method. The results showed that the factors considered in this study describe the impulse buying behavior of consumers as an economic analysis based on consumer relations and customer-product relationship. This achievement by simulating customer behavior at the time of purchase strives to provide valuable information for managers shareholders and store decision makers.
Alireza Rashidi Komijan; Amin Gordani
Abstract
The problem of Airline planning has totally been divided into four sub-problems.These problems include Flight Scheduling, Fleet Assignment, Aircraft Routing, Maintenance, and Crew Scheduling. In this research, firstly, we defined basic concepts and common terminology about Airline Planning then early ...
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The problem of Airline planning has totally been divided into four sub-problems.These problems include Flight Scheduling, Fleet Assignment, Aircraft Routing, Maintenance, and Crew Scheduling. In this research, firstly, we defined basic concepts and common terminology about Airline Planning then early models and previous researchers were presenting investigated articles. Moreover, by identifying existing research gaps, an Integrated Mathematical model presented for Aircraft Routing and Crew Scheduling for Airlines with Multi Fleet and Multi Maintenance hub with considering the rules of the Airlines. The main purpose of the proposed model is to determine the flight chains for each aircraft and crew assignments to all aircrafts with the attention to the airlines rules and regulations for aircrafts and crew. In the integrated models by previous researcher in this field, usually the type of fleet is considered the same while in the model presented in this research, the type of fleet is considered different. Other innovations of this research consider several maintenance units for an airline. In addition, the minimizations of deadheading flights for crew and aircraft that can impose heavy costs to the airline is presented as a part of the objective function in the model presented. Finally, the problem has been solved into small dimensions by GAMS software and in order to solve it in the larger dimensions a meta-heuristic method is being used, such as genetics algorithm. At the end, we have presented the results, which came from meta-heuristic Algorithm and GAMS Software.
Roozbeh . Azizmohammadi; Maghsoud .Amiri; Reza Tavakkoli- Moghadam; Hamid Reza. Mashatzadegan
Volume 14, Issue 42 , October 2016, , Pages 103-121
Abstract
A redundancy allocation problem is a well-known NP-hard problem thatinvolves the selection of elements and redundancy levels to maximize thesystem reliability under various system-level constraints. In many practicaldesign situations, reliability apportionment is complicated because of thepresence of ...
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A redundancy allocation problem is a well-known NP-hard problem thatinvolves the selection of elements and redundancy levels to maximize thesystem reliability under various system-level constraints. In many practicaldesign situations, reliability apportionment is complicated because of thepresence of several conflicting objectives that cannot be combined into asingle-objective function. A stele communications, manufacturing and powersystems are becoming more and more complex, while requiring shortdevelopments schedules and very high reliability, it is becoming increasinglyimportant to develop efficient solutions to the RAP. In this paper, a newhybrid multi-objective competition algorithm (HMOCA)based oncompetitive algorithm (CA) and genetic algorithm (GA) is proposed for thefirst time in multi-objective redundancy allocation problems. In the multiobjectiveformulation, the system reliability is maximized while the cost andvolume of the system are minimized simultaneously. Additionally, ay RSMis employed to tune the CA parameters. The proposed HMOCA is validatedby some examples with analytical solutions. It shows its superiorperformance compared to a NSGA-II and PAES algorithms. Finally, theconclusion is given
Farzaneh Adabi; Javad Behnamian
Abstract
The production routing problem (PRP) integrates vehicle routing and production planning problems. Generally, in PRPs, the impact of competitors has not been considered. Clearly, in the real world, it is no longer possible to have a monopoly market. In competitive environment, customers choose a supplier ...
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The production routing problem (PRP) integrates vehicle routing and production planning problems. Generally, in PRPs, the impact of competitors has not been considered. Clearly, in the real world, it is no longer possible to have a monopoly market. In competitive environment, customers choose a supplier based on price and quality. So in this article as a definition of quality, providing quick access to customer needs and availability are determined as the requirements of a competitive environment. Therefore, the production routing problem has been modeled with knowing the earliest and latest time of competitor demand meeting. In this way, In case of delay in supplying customers demand, the market share is lost relative to the amount of delay. The problem is modeled and it has been solved by the GAMS software. Since particle swarm optimization has been successfully applied to a variety of problems, here, to solve the problem for the large-sized instances a particle swarm optimization algorithm is also presented. To evaluate the performance of the proposed algorithm, the results with small-sized instances were compared with solutions of GAMS.
Peiman Ghasemi; Kaveh Khalili Damghani; Ashkan Hafezalkotob; Sadigh Raissi
Abstract
In this paper, decisions about different phases of crisis management cycle are modeled in the form of an integrated mathematical programming model based on the assumption of the real situation of the crisis. Goals are minimizing the number of injured people who are not serviced and minimizing the cost ...
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In this paper, decisions about different phases of crisis management cycle are modeled in the form of an integrated mathematical programming model based on the assumption of the real situation of the crisis. Goals are minimizing the number of injured people who are not serviced and minimizing the cost of relief supplies in affected areas. Simultaneous optimization of locating problems of relief bases, allocation of resources, distribution and delivery of relief supplies and evacuation of injured (pre and post-crisis situations) are among the innovations of this research. Therefore, scenarios based on existing faults (four faults) in region one of city of Tehran are considered. In this study, first, we present a binary integer programming model. To validate the model, the Epsilon Constraint method in software environment of GAMS with the CPLEX solver has been used to solve the problem in small scale. To solve the problem in large scale, we have investigated a case study using the data of relief bases in region one of Tehran city. The case study was also investigated using non-dominant sorting Genetic approach. The results of the research show that the non-dominant sorting Genetic approach can solve the model with the least error than the exact solution and in less time.
Safar Fazli; Zahra Amin Afshar
Abstract
The purpose of this study is investigating the effect of supply chain drivers on Qazvin manufacturing companies’ supply chain integration and company performance. The organizational culture has been used as a moderating factor in this relation. The study has 6 hypotheses in which data are gathered ...
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The purpose of this study is investigating the effect of supply chain drivers on Qazvin manufacturing companies’ supply chain integration and company performance. The organizational culture has been used as a moderating factor in this relation. The study has 6 hypotheses in which data are gathered with questionnaire form 79 supply chain managers, as required sample, using structural equation model with the partial least square analyzed. The findings revealed that internal drivers have positive impact on supply chain integration. Also none of the dimensions of external drivers have positive impact on integration. As the results show, organizational culture mediates the relation between external drivers and supply chain integration, but does not mediate the relation between internal drivers and integration. Eventually, supply chain integration has a positive and significant impact on company financial and operational performance. The results of this study provide a comprehensive understanding to supply chain managers and lead them to identify effective factors on supply chain integration and improving company performance
mm mmm
Abstract
Land and housing economy have a large proportion of the whole economy and play an important role in the cultural, economic and social community. In all parts of the world, land and houses make a large share of its assets and the proper management of these resources can help country’s economy grow. ...
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Land and housing economy have a large proportion of the whole economy and play an important role in the cultural, economic and social community. In all parts of the world, land and houses make a large share of its assets and the proper management of these resources can help country’s economy grow. The housing sector in Iran has faced many problems. Low purchasing power of costumers, price bubble especially in big cities, intense cycles in supply and demand and less on the market for mortgage or rent, more supply than demand and many unfinished projects are examples of problems in the field. In this paper, after explaining the current problems, causal loop diagram and then stock-flow model is presented. After validation of the model, the proposed policies are presented based on model structure and relationships. Presented policies reduce the severity of future cycles and improve equilibrium between supply and demand sectors and help linear and continuous presence of the buyer.
peiman ghasemi; Kaveh Khalili; Farshid Abdi
Abstract
Today, vital infrastructure of security systems, are at risk of deliberate attacks and to provide the necessary preparations and an appropriate response to the attacks, strengthening the vital infrastructure is considered. In this paper, a special type of strengthening the vital infrastructure is discussed ...
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Today, vital infrastructure of security systems, are at risk of deliberate attacks and to provide the necessary preparations and an appropriate response to the attacks, strengthening the vital infrastructure is considered. In this paper, a special type of strengthening the vital infrastructure is discussed that in which before they are constructed, there would be planning about strengthening them. The case is formulated as a two-level planning that in high level, the defender is looking for minimizing the total cost, considering which facilities are built, and each facility, in terms of pre-attack, services which costumer and in terms of post-attack, how many defenders assigned to each facility. While at a low level, (the attacker) is looking for imposing the maximum cost to the system considering which facility and at what level of severity, is attacked. To resolve the case, a meta-heuristic ways based on simulated annealing method suggested and by solving an example and compare its results with the results of the exact solution, the effectiveness of the method has been tested.
