نشریه مدیریت صنعتی
سال هفتم شماره 16 (بهار 1394)

The most challenges for gasoline are uncertainties resulting from structural failure of economy، changing of policies and lack of accurate data. The objective of this research is to specify the variables explaining the gasoline demand in Iran and to estimate gasoline demand by using the statistical and fuzzy regression models over the period 1981-2007. Finally، the models were compared using standard criteria. The results indicate that the both of methods have enough accuracy for estimating and forecasting of gasoline demand. In addition، there is a significant relationship between gasoline price، car per capita and trend as explanatory variables of gasoline demand per capita.

Vast number of organizational projects and complexity of decision making process can cause particular challenges for project management and its leadership. In order to use organization assets and opportunities efficiently, it is necessary that manager implement a comprehensive multidimensional project portfolio management system that considers economical, social and technical details of the projects. Resource constraint compels managers to select operational proposal projects. Thus managers can maximize organizational utility due to project portfolio’s resource constraint. This study considers the interactive effects of project portfolio evaluation and sharing of organizational project resources with respect to its evaluation and choice of the projects.. In this two-step model, first a branch and bound algorithm with resource interaction was utilized to screen maximal portfolio and in the next step each portfolio were evaluated based on artificial neural networks to rank the end project portfolios. Also the ANN scores are strongly correlated with the DEA and COLS efficiency scores.

Selecting the best way to perform the project constituting activities is one of the most important issues in the project scheduling, so time and cost be proportionate with contractor or the employer's perspective to implement the project. The other hand considering that many activities in the majority of project and consequently many Choice options for activity implementation, So this choice does not possess a unique solution, But also includes a set of solutions, are not preferred None of which On the other and is called the Pareto solutions this set. Therefore, in this paper, is presented a mathematical model for project scheduling with multiple objectives based cost payment patterns and resource constraints Since this problem, is considered as combinational optimization in NP-hard problems. metaheuristic algorithm is used to solve the proposed model in project scheduling and has been evaluated for finding optimal solution by using comparable indicators algorithms performance. and ultimately for validation, obtained Solutions by the proposed algorithm were compared with the obtained exact solutions form the GAMS software. show that the obtained results the proposed algorithm are efficient and converges to the optimal solutions.

Since the analysis of complex services systems by using mathematical modeling techniques, with considering the random patterns prevailing in them, is very difficult or impossible, improvement guidelines are often followed based on the professional's experience and descriptive analysis. In this paper, by employing the discrete event computer simulation approach, criminal trial system has been quantitatively analyzed in a selected court in Iran and appropriate operational strategies to improve two system performance indicators has been provided using statistical tools such as Design of Experiments, Hypothesis testing, Regression and Sensitivity analysis methods and multi-objective optimization. The simulation results show that by using the proposed scenarios, a reduction of 27% in average responding time on penal claims and simultaneously a reduction of 80% in repeated referral rate can be expected. In this study, in order to assess the effects of more changes by defining artificial response variables, validation of simulation models is also evaluated.

This research involves the optimization tool for use by supply chain managers in the design and operation of manufacturing- distribution networks under uncertain demand conditions. The problem under consideration consists of determining the supply chain infrastructure; raw material purchases, shipments, and inventories; and finished product production quantities, inventories, and shipments needed to achieve maximum profit while fulfilling demand and minimizing profit variability and unsatisfied demand. This research presented model to supply chain infrastructure design. In this research, a multi-period,multi objective mixed integer robust optimization formulation of the strategic model is presented to account for the probabilistic demand data. In order to demonstrate, numerical examples are presented and solved by LINDO software.

The main subject of current research is studying the industrial and technological concerns within transfer process of high-tech with regarding to the technology readiness levels (TRLs) as well. The importance of the subject is emphasized because different TRLs have special considerations and the risks of high-tech transfer can be reduced considering them. The main goal of this study is to identify and rank the industrial and technological concerns in transfer of high-tech at various levels of technology readiness. The study is applied-type and the data were collected using mixed method. Research findings show that 32 elements in seven aspects as the industry and technology considerations influence the transfer of high-techs. The influence of these factors varies at various TRLs, so that toward higher readiness levels (1 to 9), the influence of industry considerations is more than of technology considerations. It is highly recommended for companies active in the field of high-techs transfer to concern industry and technology considerations and their influences on different TRLs.

One of the most important issues that should be considered in the disaster management is temporary settlement of injured population, supplying relief commodities, designing an appropriate communication infrastructure for communication in the disaster time. For this purpose, in this paper a model has been proposed for locating shelters, warehouses of relief commodities, and also telecom towers, wherease warehouses of relief‌ commodities and telecom towers have been considered as the telecom-relief center for reducing costs and improving services. The backup warehouses are also used to improve the reliability in disaster management in the model. The problem has been modeled as a nonlinear and bi-objective model, while for solving the normalization method and and he linearization approach have been applied. With respect to significance of unstable conditions and dynamic enviorement in natural disasters, the model has been considered under uncertainty and method possibilistic programming approach is used to cope with this issue. The proposed model is implemented in the flood disaster case study of Tehran and the obtained results show that the optimal location of the facility can help the decision makers of disaster management in this area about increase service during disaster.

Abstract: In evaluating the performance of supply chain Services Companies In comparison with industrial companies we do not have enough related literature and also we do not have enough researches available. Therefor the aim of this article is to identify and prioritize measures of evaluating the performance of services supply chain. Thus in the beginning we review the related text and defining the processes of supply chain. Also we have explained the measures of evaluating the mentioned processes and at the end we have sorted the measures in accordance with Scor and Servqual models and finally we have designed respected decision tree. The prepared questionnaires were distributed among the managers who are considered as the experts in service industries. We, after receiving the completed questioners, have used thefuzzy AHP for prioritizing and sorting the measures. As a result the reliability attribute the most important and intangibility the least important ones in supply chain services.

In this paper a model for evaluating and ranking constructive projects will be presented. This model is based on six key criteria and a conceptual framework. These main evaluation criteria include: good history, Equipment and machinery, Management and technical staff, Economic - Financial, Skills and experience, and Scientific and technical capabilities. These criteria and their weights were derived from previous studies. The vagueness of the linguistic terms in the evaluation process required employment of fuzzy numbers. Then the fuzzy PROMETHEE method was used for the ranking the projects. To test the model and as a case study, contractors of Mehr housing projects in Hashtgerd new Town were ranked. This model can be used for evaluating and ranking contractors for various construction projects.