Talaei M.,Islamic Azad University at Parand |
Farhang Moghaddam B.,Institute for Management and Planning Studies |
Pishvaee M.S.,Iran University of Science and Technology |
Bozorgi-Amiri A.,University of Tehran |
Gholamnejad S.,Allame Tabatabaee University
Journal of Cleaner Production | Year: 2016
Environmentalism has become an important global issue in the present century. During the recent years, the closed-loop green supply chain management has been increasingly a center of attention as a result of governmental laws and legislations (regarding the environmental effects of any activity) and the soaring consumers' expectations. In this study, effort has been made to investigate a facility location/allocation model for a multi-product closed-loop green supply chain network consisting of manufacturing/remanufacturing and collection/inspection centers as well as disposal center and markets. To design the network, we have proposed a mixed-integer linear programming model capable of reducing the network total costs. The model has been so developed as to consider such environmental objectives as reducing the rate of carbon dioxide emission in the environment throughout the network in question. Moreover, the model has been developed using a robust fuzzy programming approach to investigate the effects of uncertainties of the variable costs, as well as the demand rate, on the network design. To solve the bi-objective programming model, use has been made of the ε-constraint approach and a numerical illustration of Copiers Industry is used to show the applicability of the proposed optimization model. Results have revealed that the model is capable of controlling the network uncertainties as a result of which a robustness price will be imposed on the system. © 2015 Elsevier Ltd.
Fadaee M.,Institute for Management and Planning Studies |
Fadaee M.,University of Bologna |
Lambertini L.,University of Bologna |
Lambertini L.,University of Amsterdam
Environmental Economics and Policy Studies | Year: 2014
Profit-seeking firms can be induced to internalise the environmental damages caused by production via several policy instruments, a widely used one being emission permits. In a very influential paper, Laffont and Tirole (J Public Econ 62:127–140, 1996) point out that the allocation of pollution rights to firms may hinder their willingness to undertake uncertain R&D projects for environmental friendly technologies. We revisit this issue in a duopoly model, showing that a lottery allocating a given volume of emission rights exclusively to the winner might indeed be used by the regulator to spur the introduction of green technologies at least by the loser and, if properly designed, by the entire industry, in an admissible range of the model parameters. We also show that there exist parameter constellations wherein firms’ incentives are aligned with social ones. © 2014, Springer Japan.
Sharifi H.,University of Liverpool |
Ismail H.S.,University of Liverpool |
Qiu J.,University of Liverpool |
Najafi Tavani S.,Institute for Management and Planning Studies
International Journal of Production Economics | Year: 2013
In today's uncertain and complex business environment, supply chain strategy is playing an important role in the success of a firm's product and market growth strategy. In this paper, we present a framework depicting interactions between supply chain strategy and design, product design and development, and market strategy. Using the framework we undertake case studies of SMEs to better understand the importance of an integrated product-market-supply chain strategy. We empirically examine what decisions were made for market-entry and product innovations with regard to supply chain design, how they were implemented, and what the implications were for the firms' product success. It is revealed that SMEs do not typically consider their supply chain strategy before product introduction, and consequently experience supply chain problems that are likely to be detrimental to the firms' growth potentials. The results also support the theoretical proposition that proactive and pre-emptive involvement of suppliers and supply chain strategy would lead to a more robust strategic direction for growth, and contribute to extending the literature on the role and impact of supply chain and suppliers in product and market-entry innovations, with a focus on SMEs. © 2013 Elsevier B.V.
Rahnavard F.,Institute for Management and Planning Studies |
Gholami M.,Air University
Iranian Journal of Information Processing Management | Year: 2012
Successful implementation of an executive information system (EIS) is not an easy job for most of organizations. Out of many factors to be considered, the success or failure of an EIS ultimately depends on how well the implementation process is managed in terms of both technology and users. This article with regarding to senior managers' information needs to make strategic decisions, was about to recognize critical success factors in implementing EIS in the Iranian organizations. Statistical Population in this research included managers and experts in Petroleum Equipment Industries Corporation (PEIC) and its subordinates. A questionnaire was developed by researchers for gathering data from sample population. Research findings based on factor analysis was indicative of following critical success factors for implementation of EIS: 1) Development of an appropriate conceptual model; 2) a participative approach in design and development; 3) a relevant technology; 4) role of IT Department; 5) project management of EIS; 6) supportive role of senior management; and 7) software capabilities. The model explained 59 percent of the variance in successful implementation of EIS. Therefore, it should be bear in mind that there are others CSFs which were not recognized in this research.
Tabriz A.A.,Shahid Beheshti University |
Riahi F.,Institute for Management and Planning Studies |
Banasadegh Z.,Institute for Management and Planning Studies
Research Journal of Applied Sciences, Engineering and Technology | Year: 2015
The aim of this study is to identify the most influential risk elements and determine causal relationships network of risk factors in Islamic banking in Iran. Due to some unique principles used by Islamic banks, they encounter difficulties to manage various risks effectively than conventional banks. Consequently, a structural model was developed from a comprehensive set of risk elements with five reflective and one formative output construct namely; credit, liquidity, market, operational, unique risks and total risk by using PLs path modeling which statistically supports all constructs. Fitness Indices imply homogeneity among risk elements and statistics indicate not severe multicollinearity and redundancy in the model. This study provides key insight into causal relationships of influential risk elements in Islamic banking essential for proper resource allocation to compete with conventional banks. © Maxwell Scientific Organization, 2015.