فصلنامه چشم انداز مدیریت صنعتی
سال هشتم شماره 3 (پیاپی 31، پاییز 1397)

All Organization face with important issues like objectives, constraints, priorities, policies, opportunities and threats that should be considered in all the key decisions. One of the most important and difficult decisions in organizations, is the project portfolio selection. Companies with high technical capablities and financial resources are often limited in running a set of projects that are competing to attract these scarce resources under the same management,. In today's changing world, survival and continued growth of successful companies depends on developing and manufacturing new products and services; as a result, Project Portfolio Selection(sepecially R&D Projects) is critical and necessary for the survival of its business of enterprises. The main problems in the R&D Portfolio selection process can be found in the large number of qualitative and quantitative goals that are often incompatible, projects interdependency, the inconsistency in the amount of resources available and in use, experience and preferences of managers and decision makers to balance the risk and the timing of projects and the delivery time, etc. In this article a conceptual model with the disctinction of taking the integration of knowledge and intellectual capital into account is presented. TOPSIS method is used to obtain final ranking of R&D Projects. For verifying the proposed model a case study is performed to select the best R&D Project Portfolio for an International LCSI in Iran. The results of the case study that satisfactorily validates the outcome of the model is presented.

Today organizations are impeled to design a transparent process for evaluating suppliers and contractors from start to finish. The purpose of this study is to provide a framework for the initial qualification and performance evaluation of suppliers and contractors and implement it as part of the supply chain management system in ERP system of the Mobarakeh Steel Company. In this research, at first initial qualification of suppliers and contractors is reviewed. In reviewing the primary competence of suppliers after selecting the necessary and functional criteria, TOPSIS techniques are used to evaluate and assign them to the field of specialized activities. In the second stage, the performance of suppliers in both the inquiry and ordering sections is evaluated using the data envelopment analysis technique. The performance of contractors after the start of activity is evaluated periodically by appropriate criteria. Transparency at each stage of the process will help the company to select the appropriate suppliers and contractors and examine their performance transparently when working together. Also, transparency in this process will make the applicants to collaborate with the company to have a good view of choosing or not choosing at the beginning of the process and evaluating their performance over the course of the partnership.

Privatization has led to the formation dynamic competition in markets, such as airline service providers with a limited number of suppliers and a large number of customers (oligopoly markets). Suppliers of goods and services in these markets are considering the behavior of competitors to determine the amount of products and advertisements in order to maximize their benefits. This paper investigates a differential oligopoly game model under open loop and close loop structures. By applying mathematical validation of the optimal levels of production (supply) and advertising cost, the proposed model used to analyze the market for airline services, and it is shown that parameters such as sticky price, substitutability among goods and advertising promotional efficiency on supply and advertising are effective in achieving sustainable equilibrium in such markets. Sensitivity analysis of the parameters in the proposed model shows that in open loop strategy when companies in an oligopoly market do not agree any agreement in all stages of competition, they will suffer a lot of financial burden.

The purpose of this study is to assess the readiness for the establishment the lean higher education of University of Tehran. This research is applied and also from a data collection perspective, it is descriptive survey. The study population is consisted of all experts' technical and social-behavioral sciences campus at University of Tehran and also a researcher-made questionnaire was used to collect data. Validity and reliability of the questionnaires were assessed by using content and structure validity and Cronbach's alpha coefficient. The data were analyzed using Kolmogorov-Smirnov Test dependent and independent T-test, Friedman and confirmatory factor analysis in Lisrel software and SPSS software. The findings of the study showed that the total score of Tehran University's readiness for the establishment of lean higher education and its components was lower than theoretical average. In addition, according to the university experts, the most important component of lean higher education are leadership and management commitment, Focusing and paying attention to students, Choosing the right people, The strategy and vision of the university.

goods can have a significant impact on reducing logistics costs and increasing customer satisfaction. Therefore, the purpose of this paper is to develop a mixed integer linear programming model for a rail - road transportation network design. In this model, due to the strategic nature of decision making of modeling the logistics network design, customer demand, as well as transport costs, is uncertain. a bi-objective scenario-based two-stage stochastic programming model is proposed for the design of multimodal transportation network design problem. The first objective function focuses on minimizing costs from the economic point of view and the second objective focuses on reducing risk decision making and incorporates min-max relative regret in in robust optimization framework. In the proposed scenario-based two stage stochastic model, the first-level variables determine the optimal locations for the establishment of multimodal terminals and the second-level variables determine the amount of cargo loaded by each of the multimodal rail-road transportation and road transportation modes. The performance of the proposed mathematical model is analyzed computationally through a real case study for multimodal transportation network design for Cement transportation of Iran. In this study the model decides about the number and location of multimodal terminals from the railway stations in the Iran’s railway network as well as the allocation of load flows and the determination of the amount of cement carried by the road network and the multimodal rail-road network of the country.

Different payment methods and time value of money have a significant impact on the profitability of the supply chain. In many applications, coordinated ordering of items creates savings in the total ordering cost. In this paper, a model is developed that integrates the joint replenishment of inventory items (JRP) and the selection of payment methods into supplier-selection order-allocation problem. Retailer can pay purchasing costs to suppliers and receive the selling price to customers in different payment methods. Three payment methods of cash-in-advance, cash and credit are assumed. In the developed multi-item multi-period model, the negative cash flows are borrowed and positive cash flows are invested. The objective function is maximizing the net future value of retailer’s cash flows. Through a numerical example, it is shown that major ordering is related with the number of selected suppliers but it does not affect the payment methods. In addition, minimum attractive rate of return of the supply chain members affects the selection of payment method and loans.

Nowadays, due to the huge effects of designing the supply network on the economic interests of organizations, the quality of providing appropriate services and customer satisfaction, the problem of network design is one of the most interesting and attractive issues of research in operations and management science. In this paper, a real-world manufacturing network is designed. The structure of this supply chain is such that the product is stored in the production facilities after production in the manufacturing plants and then transported to the retailers. Ultimately, customers will be able to address their needs by visiting retailers. In order to be real, fuzzy uncertainty is considered in the model parameters, and disruptions such as fire or power failure, etc. in factories and warehouses are considered simultaneously. Also, the problem has a multi-period time horizon and two goals are to minimize cost and maximize the coverage level of customers. To solve it, using CPLEX (GAMS) by ε-Constraint approach.