فصلنامه چشم انداز مدیریت صنعتی
سال هفتم شماره 4 (پیاپی 28، زمستان 1396)

In investor organizations, manager's donot have standard method to discriminate more important projects. They usually select projects based on their Private estimates. But with increasing number of projects, diversity and complexity of them, the amount of error in these estimates is increased. The main issue of this research is the categorization of candidate projects, by specific criteria, into three groups. It is very important, medium and low importance.The research method is applied to the target and in terms of data collection it is an analytical-mathematical method. Since decision making on categorization requires the absolute judgment of decision makers, and the number of classes is more than two, the MHDIS modeling technique has been used among classification models because this model is firstly based on the utility functions of decision makers and the latter is specific to multi-group classification. After modeling, we tested model with 29 other projects and finally we compared the model error with the results obtained from the UTADIS model which is similar to MHDIS. The results present a lower error rate than the UTADIS model.

Cells formed in the early steps of lean transformation called interim cells and their performance is so important because these are the first actions to make the production operations lean. In this study, human related factors which play an important role in demonstrating performance of lean cells have been studied in term of dynamic assignment interval along with cell related factors including cell size and type of dominant tasks in the cell. Takt time is considered as the factor related to customer influencing the performance of the cell. First, the mathematical model of research developed based on dynamic assignment and incorporating impressionability of operator's performance by the manner in which tasks assigned to him during several rotation periods. The model structured as the combination of balancing, sequencing and dynamic assignment models. Then, some experiments designed using Taguchi's approach and data as near optimal solutions gathered by running VNS algorithm on the model. After that, the effect of factors tested by applying ANOVA and MANOVA. The results shown that the impressionability of lean cell is a complex matter.so the number of dynamic assignments vesus various combination of factors have been proposed.

In classic inventory control system, the sales revenue is received immediately upon delivery of the products and the products have unlimited lifetime. But, in real world, there are items that lose their value over time because of the emergence of the new technology which are known as obsolescence items. Moreover, the seller can authorize the purchaser to delay the purchase. In this paper, an obsolescence inventory control model with delay in payment policy will be considered in an inflationary context in order to achieve minimum cost and numerical results are also presented in a real case study of the mobile retail industry. The results show according to the considered permissible payment period which is determined based on the actual market situation, with decreasing in the obsolete period, given that the risk of obsolete goods will increase, the optimal order quantity will decrease. In addition, the results indicate that the use of inventory management policies with regard to delayed payment reduces the cost of inventory.

This study examines the week-form efficiency and predictability of lead market using both technical and fundamental approaches and tries to find the best method to be used for predicting the lead price. To this end, we first test the week-form efficiency and show that the time series of prices does not follow a random walk, so we can conclude that the week form information efficiency does not hold in the lead market and the lead price is predictable. Then a range of linear and non-linear methods have been used to peredit lead price. The data for lead price and fundamental factors are weakly observations over the first week of 2005 up to the last week of 2015 and has been gathered using a variety of resources including LME, SGS, ILZSG, FRED websites. The results show that in the technical approach, the hybrid GMDH and genetic algorithm model is the best model in terms of the root mean square error (RMSE) and mean absolute percentage error (MAPE). In the fundamental approach, two stage least-square is the best model in terms of RMSE and MAPE. As the market is not efficient, the next question is if the market participant can apply investment strategies to exploit the peredictability in this market in their trades. The question may be investigated by future reaseach.

When the statistical distribution of products under study is not normal or symmetrical, in order to use the X control chart it cannot be expected that the process variability is timely detected. In this study, to improve the performance of X control chart, Generalized Lambda Distribution (GLD) was applied. To illustrate how to implement the proposed method, the data pertaining to tensile straights of eighteen aluminum plates were utilized and upper and lower limits of X control chart were calculated. Chi-Square test and Average Run Length (ARL) method were employed to ensure the obtained results and to accredit the proposed method, respectively. Due to the flexibility of this distribution, applying the proposed method could ensure that the process variability is discovered ahead of time.

In today's rapidly changing environment, organizations require performance evaluation system to survive. In order to evaluate the performance of the organizations several tools and models have been proposed in the literature, each has advantages and disadvantages. Among them, the popularity of the Balanced Scorecard is increasing because of considering the financial and non-financial indicators. But this approach has limitations, for example thisapproach Considers to be one-way interaction, the time lag between cause and effect does not consider, there is no way to validate the indicators and select them. In this study we try to combine Balanced Scorecard with system dynamic in a bank branch case, to overcome the Balanced Scorecard limitation and review the impact of policies on the performance of the bank branch so we study unit after checking the conditions, simulated system performance evaluation with vensim software and four policies has been defined. Using dominance, the best policy is developed and then according to the results obtained suggestions to improve the performance evaluation criteria presented in the case study.

In this paper, a comprehensive model for inventory control of deteriorating goods via considering backlogging shortage is proposed. The demand function is in quadratic form, the second-order function of time. A fixed deteriorating rate of goods and complete backlogging shortage condition as well as their related costs and planning requirements such as delayed payment policy are considered. The aim of the proposed mathematical model is to determine the appropriate order cycle time in order to maximize the total profit of the inventory management system. An exact solution algorithm is developed to solve the proposed complex model. The computational obtained results indicate the efficiency of the proposed model and solution algorithm for considering good deterioration under backlogging shortage condition with quadratic demand function.