نشریه مدیریت صنعتی
سال ششم شماره 15 (زمستان 1393)

The purpose of conducting the present research was the investigation of improvement possibility of Iran Heavy Diesel (DESA) Company Assembly Line by Simulation. Therefore، in addition to review the existing thematic literature in relation to system، model، simulation، assembly lines and its improvement solutions، and the study of similar research background and history، the primary model of company assembly line created by using data collection instruments like documents reviewing and observation. After presentation of created model and summery of descriptive data، the model validated by averages test. Data were analyzed by ARENA and SPSS soft wares. In next stage، the improvable point of assembly line، namely Test room identified by interviewing with 48 peoples related with assembly line. Then، after description of the reason of attention to this point، the use of new technology was proposed for achieving improvement in this section. The results of testing this proposition by simulation model showed that if such system implement in assembly line، the cycle time could improve 33 percentages and the queue time in test station reduce 62 percentages. Finally، based on these results، the discussion and conclusion were represented، and some suggestions were given for managers and directions for further researches in conclusion.

Housing is the third top factor in human life، after food and clothing in all communities. Many variables involved in determining housing prices and is impossible to ignore housing feedback. One of the powerful tools to determine the impact of policies in this field using system dynamics approach. According to this approach، the cause and effect diagram of factors effecting housing prices in Tehran، the dynamic model is provided. To simulate intended model using Vensim software. Finally، scenario making was conducted to consider various policies in housing market. The result show that enhance other provinces'' facilities، also increase of cheap housing supplying by the government as well as loan for construction decrease the housing price and the price would be balanced.

One of the biggest organizational challenges in deployment of strategies is the time lag between the cause-and-effect relations according to a lag between indicators of strategic objectives. With adding the time factor، the strategic objectives at different times have a causal relationship and drawing of a dynamic strategy map considering the time factor. The causal relationships between strategic objectives are essential. In this paper، after dividing strategic objectives into four aspects of balanced scorecard in the National Iranian Oil Refining & Distribution Company، the fuzzy DEMATEL method is used to draw the cause-and-effect relation between strategic objectives in the strategic map considering the time delay from the lag key performance indices. By drawing the dynamic strategy map، the network relation between strategic objectives during the time identified and by defining strategic initiatives for the strategic objectives of the lag key performance indices، improvement for the strategic objectives of the lead key performance indices appear.

In this paper a new method is proposed to find the fuzzy optimal solution of fuzzy multi-objective linear programming problems (FMOLPp) with fuzzy right hand side and fuzzy decision variables. Due to the imprecise nature of available resources، determination of a definitive solution to the model seems imposible. Therefore، the proposed model is designed in order to make fuzzy decisions. The model resolves the deficiencies of previous models presented in this field and its main advantage is simplicity. To illustrate the efficiency of the proposed method، it is applied to the problem of allocating orders to suppliers. Due to the nature of the fuzzy solutions obtained from solving the model، the decision maker will be faced with more flexibility in decision making.

This article tries to identify what and how factors influence on management of supply risk in automotive industry supply chain. Rely on grounded theory and based on 13qualitative in-depth interviews with 10 managers in Iran''s automotive industry supply chain، a theoretical framework is developed to examine antecedents and influencing factors of this process. This framework suggests a broad range of factors caused to an automobile manufacturer manage the supply risk. These factors are named perceptual-attributive factors. In addition، the varied contextual and contingency factors are affecting on automobile manufacturer decisions and guiding their actions/reactions in this process. Such factors are categorized as bedder factors and contingency factors.

The present investigation aims to address the problem of inadequate coverage of various aspects of organizational performance by balanced scorecard (BSC) model through its developing based on the European foundation for quality management (EFQM) model. To this end، a developed BSC model، encompassing variables of stakeholders، resource effectiveness، processes effectiveness، human resource management effectiveness، leadership method، strategy and performance was proposed and، then، validated in a new structural model. The findings firstly revealed an appropriate fitness of the proposed model. Regarding the relationship among variables، staff management effectiveness، resource effectiveness، leadership method and processes effectiveness، respectively، held the most “direct impacts” on the organizational performance. On the other hand، “summated impacts” (direct and indirect) on the organizational performance were held by leadership method، staff management effectiveness، resource effectiveness and stakeholders variables، respectively. Managers can apply the model suggested in the investigation to measure performance in the respective organizations and as a weighting criteria guide on how to accurately measure different dimensions of performance.

Green supply chain management is an environmental approach in supply chain management that aims to decrease ecological risks in products’ life cycle. Closed-loop supply chain by collecting and recycling the harmful products in the nature attempts to achieve this goal. In this paper، due to different strategies in collecting products، several pricing models in two-echelon closed supply chain are presented. The interactions between the manufacturer and the retailer in pricing are investigated based on Stackelberg game and the optimal decisions of manufacturer and retailer are obtained in each model. Moreover، because of the dynamic nature of the supply chain in the real world، risk factor based on the mean- variance model is considered in the closed-loop. Finally، presented models are analyzed by a numerical example and the best model is selected by comparing the profits. Moreover، sensitivity analyses are performed on collecting rate، recycling rate and the risk aversion. Results show that the coordinating model between the manufacturer and the retailer can be an appropriate substitution in high collecting rates and low risk aversion values.

This paper presents a combined Data envelopment analysis (DEA) – Principal component analysis (PCA) – Analytical hierarchy process (AHP) to achieve the efficiency scores and ranks of the insurance companies. Fourteen insurance companies with thirteen input and output variables have been considered for the purpose of this study. Since، the DEA model is sensitive to the number of variables in comparison to number of DMUs، to reduce data dimension، the PCA method is used. Obviously، the final ranks from PCA-DEA model is very subjective and only based on the pattern and distribution of data sets. Therefore، for incorporating the expert preferences، the AHP model is combined with two previous models and the final ranking is done by the integrated DEA-PCA-AHP and PCA-DEA model. The results of the proposed model indicates tht three companies Dana، Razi and Dey are top ranks.

Claimed have became one of the inherent attribute of construction industry. In order to determine the most appropriate strategy for the prevention and resolution of these claims، some studies have been made to identify claim`s causes but they are common in construction industry. It seems that it needed to a better understand of complexity and the casual variables make these claims. In this regard، there will be sanctions and its possible effects on the construction industry in recent years، resulting in the creation of remarkable claims. A “cause and effect model” of the impact of sanctions on creating claims in DB project has developed by the information collected through interviews and study of documents related to the recent claims. then studied system is simulated under three Different scenarios of sanctions that The results show that incidence of sanctions influence other aspects of the project and will cause new claims and affect on time and cost as main cause of claims and This effect increases with the severity of sanctions and cause Vigorous growth and exponential claims.

Much research hasn’t been done in the area of project selection in the public sector. In this paper، we tried to choose projects in the public sector; a linear programming model is presented. In an effort to build the model، the decision criteria were identified using the Delphi method and then the criteria were reviewed at conceptual combining. Model was constructed in a linear، goal and mixed integer programming approach. After building the model، was tested with data on budget bill، the results were analyzed and the model was revised several times. The results of the model execution confirmed its validity. This type of model as a decision support system can be used for project selection in the public sector.