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reslog is a research group of the Department of Management and Production Engineering (DIGEP) at Politecnico di Torino
Project and Risk Management
Relationship and Organizational Aspects
The outocome of a project is based on organizational effectiveness and on successful relationship among stakeholders. We study organizational and contractual models that guarantee the success of the project through the development of the project manager role and of the project office within companies. We carry out studies about processes and information flows for an accurate project management and associated instruments for informative integration.
Methods for planning and managing the performance
We study and propose tools for operational and financial operative planning according to the specific accounting system of a company environment, as well as methods for time and costs monitoring and controlling, and for the definition of estimates at completion.
Risk Management
Project managers need tools to anticipate negative events: risk management is becoming an essential instrument to carry out this task. Our effort focuses on the development of methods and techniques for risk identification, assessment and control , that are effective, and easy to use.
Performance analysis in supply chain
We carry out studies about the ties between performance indicators and design choices in the logistics chain valuating the alternatives with multi-criteria methods. We start off with static analysis of dashboards indicators and we get to dynamic and complex behaviors analysis of the factory systems linked to the measured performances. Further competences are dedicated to understand how the objectives of a logistics process can align to the "customer care" concept typical field of research of the quality. In this contest one of the most relevant points for the competences is the creation of a innovative model to measure the performances- denominated LogistiQual- that defines a valuation framework of the factory ability about the logistics performances control and the capacity to answer to the customer's needs.
Project Simulation Trend
Delays and costs increase are two chronic issues in projects. They do not derive only from underestimated forecasts, but also from intangible factors and managerial mistakes too. Our research group applies computer simulation based on System Dynamics to support traditional project management techniques in order to estimate project performances and support proper choices taking into account the complex interaction among project variables. Thanks to simulation, we are able to forecast gaps and improve managerial practices that could compromised the expected performance.
De Marco, A. Thaheem, J. Project Risk Management techniques selection methodology, American Journal of Applied Sciences, 2014
De Marco, A. Narbaev, T. Combination of growth model and earned schedule to forecast project cost at completion, Journal of Construction Engineering and Management, 2014
De Marco, A. Karsybayeva, B. Influence of environmental risk on the financial structure of oil and gas projects, American Journal of Applied Sciences, 2013
De Marco, A. Mangano, G. Risk and value in privately financed healthcare projects Journal of Construction Engineering and Management, 2013
De Marco A., Narbaev, T. Earned value-based performance monitoring of facility construction projects, Journal of Facilities Management, 2013
Barlish, K.C. De Marco, A. Thaheem, J.Construction risk taxonomy: An international convergence of Academic and Industry Perspectives,American Journal of Applied Sciences, 2013
De Marco, A. Mangano, G. Cagliano, A. Grimaldi, S. Public Financing into BOT hospital Projects in Italy, International Journal of Construction Engineering and Management, 2012
Grimaldi, S. Rafele, C. Cagliano, A. A framework to select techniques in supporting project risk management, Risk Management: Current Issues and Challenges, 2012
De Marco, A. Mangano, G. Zou X-Y, Factors influencing the equity share of BOT projects, Built Environment Project and Asset Management, 2012
Barlish, K.C. Sullivan, K.T. De Marco, A. Education and Simulation of Best Value in an International Accademic Setting: A case study, Journal for the Advancement of Performance Information and Value, 2012
De Marco, A. Briccarello, D. Rafele, C. Cost and schedule monitoring of industrial building projects: Case study, Journal of Construction Engineering and Management, 2009
De Marco, A. Rafele, C. Programme Management - a gold medal winner at the winter Olympic, Project Manager Today, 2006
Hillson, D. Grimaldi, S. Rafele, C. Managing project risks using a cross risk breakdown matrix, Risk Management, 2006
Smart Cities
Logistics, Supply Chain Management
Complex Systems
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