Industrial Management Perspective
Year:2017 | Volume:6 | Issue:24 |Papers Count:7

Supply chains are network of organizations and individuals involved in fulfilling customer needs. Increasing research and interests of researchers and industrial managers in the supply chain, make it necessary to investigate the behavior of the supply chain network. At this research, researchers tried to analyze the impact of variables of demand uncertainties, as well as uncertainties related to supply chain partners' performance on the supply chain performance in a two-echelon supply chain of medical equipments. Customer demand fill rate (CDFR), and the bullwhip effect (BE) were analyzed as two indicators of supply chain performance. In order to analysis of system behavior regarding uncertainties, system dynamics (SD) is employed, which is a powerful tool to analyze and understand the behavior of the supply chain operations. The results showed that increase in demand, the uncertainty of demand, uncertainty of production systems, and uncertainties related to the ability to supply, has a significant effect on intensifying the effect of BE, and reducing CDFR across the supply chain.

Integration of upstream and downstream of supply chain causes financial, physical and information synergies among companies in the supply chain. This synergy acts as a competitive advantage for the company and the entire supply chain operation and performance of the Company and programs to promote quality. The aim of this study is to investigate the impact of integration of upstream and downstream programs on quality performance and quality programs. The statistical society of this study is all of the pharmaceutical companies in Iran. Data analysis was performed with SEM. The results show that upstream and downstream integration had positive impact on quality performance and quality program.

In this study, the design of a network for municipal solid waste management has been studied from the viewpoint of an organization (e. g. Municipality) which collects different types of waste from all over the city and pays waste generation points in exchange for waste. Determining purchase price for waste and forming outsourcing policies are matters to be decided upon. In case of outsourcing, auction will be held and the private company who their business is recycling and composting can participate by bidding, which results in the selection of an organization or non-outsourcing. The problem is modelled as a bi-level model, in the first level, Municipality decides as the leader on outsourcing, and if outsourcing is agreed upon, a company is selected. In the second level, bidders compete as followers in the auction for receiving more waste from the organization and offer prices.

The dramatic increase in number and turnover of the projects of organizations on one hand and the Aggravation of environmental concerns on the other hand, lead to Increasing attention to environmental concerns in the field of project management. Adding this factor to the other customary factors that have an impact on project scheduling is a reasonable approach toward evaluation and control of destructive environmental effects. To this end, environmental impacts have been considered as a novel factor in the time-cost trade off problem and a new mathematical model, which includes time, cost and environmental impacts simultaneously, has been proposed in this article. Due to its NP-hardness, two metaheuristic algorithms, namely MOPSO and MOFA, combined with a heuristic algorithm were coded in MATLAB software. The heuristic algorithm’ s function is to transform infeasible solutions to feasible ones. The results of implementing the aforementioned model and algorithms in a drilling project indicate that project managers can choose between different amounts of time, cost and environmental impacts. Moreover, they can control environmental impacts of a given project as well. Furthermore, the values of Pareto answers criteria demonstrated that MOPSO algorithm outperforms MOFA algorithm in this project.

The construction supply chain encounters with a lot of challenges that one of the most significant can refer to the higher sources wasting in project site and also the high pollution on amount of this type of supply chains. On the other hand, the most managers of supply chains need to the integration of supply chain such as project sources and time specifics, determining the production and inventory level, and also determining numbers and type of vehicles that are included, in order to its cost is calculated in an optimal form. For this purpose, in this article an integrated model has been proposed which first objective function is maximizing the profit, and the second objective amount is minimizing the emission of the carbon dioxide gas, whereas a solution way for the prevention of sources waste in project site is presented. With assumption of determining project network and also the durations and daily demand of each activity, this supply chain model pans the different periods of time. To consider this bi-objective and nonlinear model, the model has been first linearized, and by using the epsilon-constraint method and also coding in GSMS software has been solved and its results have been finally analyzed with two numerical examples.

The aim of this study is to evaluate efficiency of the power industry using an integrated approach of Network DEA with a variety of outputs and Windows Analysis. This network system includes undesirable, final desirable and intermediate output in time interval of 2012 to 2014. Input and output variables of first and second stages were respectively considered as domestic consumption of power stations, fuel consumption, thermal output, efficiency, nominal power of power station and operational power of power station, maximum production, especial production and gross production, capacity of power transmission substations, and finally delivery energy and energy losses. The results indicate that due to the possibility of integration over three times, in terms of total efficiency and efficiency of production stage, there is highest number of efficient units. In 2013 However, compared to efficient frontier of three periods, electricity production stage had the greatest number of inefficient units and increasing the number of efficient units in the total efficiency stage is due to high efficiency of regional electricity companies.

In today’ s world determining the success or failure of basic IT services is based on the adoption rate of users and the using society. The purpose of this paper is to develop a system dynamic model for improving and acceleration in the adoption of NFC technology of bank POS and investigating the factors affecting it with the help of Vensim software, where more than 35 influential variable and associated with 4 stock variables mode were extracted through the study of the literature of the subject and 4 casual loops were identified and defined. Then, the model is presented, as causal-loop diagrams and the stock-flow model and various policies, such as reduction of word of mouth advertising, reducing learning time, enhancing the attractiveness of use have been studied. According to the results of the sensitivity analysis, it was found that use charm, oral advertising and the minimum time required for learning technology with the experience and skill, abundance of adopters and the need for practice and educate, is very important in determining the amount of adopters of NFC technology in bank POS.