Guido Perboli is Full Professor in the Department of Management and Production Engineering (DIGEP) of Politecnico di Torino and Associate Member of the CIRRELT - Centre Interuniversitaire de Recherche sur les Réseaux d'Enterprise, la Logistique et les Transport - Québec, Canada . He is presently in charge of the courses of Strategic Management and Operations Research in the Industrial Production and Innovation Management Master degree. He is presently in charge of different activities, including the student exchange program with UQAM, Montreal, and TOP EXPERIENCES, a series of lectures given by high-level managers and member of the Board of the Amazon Innovation Award.
In 2016 he founded the center ICT for City Logistics and Enterprises (ICElab@Polito) at Politecnico di Torino, a research center focused on two of the main activities supporting the Urban growth: logistics and enterprises. He is presently director of the ICE center. He is author of more than 100 papers on peer reviews International journals and Conferences (see the full CV for the detailed list). His main areas of expertise are Business development and Lean Business, City Logistics and Smart City, Green logistics and impact assessment of externalities reduction policies in Supply Chains, Urban Freight delivery, Container and Vehicle Packing, Fleet Routing and Management.
Mentor of Startups and with an experience of 15 years in Business Development and R&D, he is
currently a shareholder and Chief Scientific Officer of Arisk S.p.A., Fintech company operating in the Enterprise Crisis sector and Spinoff of Politecnico di Torino. With AI and Machine Learning, Arisk algorithms can predict with a precision of more than 85% a business interruption up to 60 months in advance by considering financial, organizational, ESG, and operational risks. For its innovative methods, in 2019 Arisk was awarded by Credit Village as the best Startup in the Credit Industry and by the Italian Fintech and Insurtech Observatory one of the best 10 Startups in the market.
He is also member of scientific boards and awards, including the Scientific Board of SOS Log, the main Italian association of Sustainable Logistics, the Digital Hub of Compagnia delle Opere, an association of enterprises with more than 30000 companies, and the Amazon Innovation Award, the international award of Amazon on Service Innovation, Last Mile Delivery, and Warehouse Managment. Since 2010 he has also been advisor of several Italian regions for innovation projects, advisor of the National Grants of the Government of Canada, as well as head of the mobility pillar of the Digital Strategy 2019-2029 of the Regional Council of Piedmont.
Since 1998 he is consultant for National and International companies, including Amazon, Accenture, DHL, Emerson Network Power, FCA, Iveco, Italdesign, Panalpina, Porche, Rhona, Telecom Italia, Tales Alenia Spazio, and TNT.
Mobirise è un facile costruttore di siti Web: basta The issue of controlling and evaluating the decision making processes in Multi-Actor complex Systems (MACSs) is a well known challenge in the literature. The issue becomes more and more interesting when the actors are characterized by different backgrounds, introducing behavioural aspects to the complexity due to the inter-correlation between the actors themselves. In order to cope this issue, my research goes toward the integration between the business processes and models with the operational ones by Lean startup tools. This led to the definition of GUEST, a Lean Business methodology able to cope from the early definition of the idea up to the factual implementation, while reducing the time-to-market and increasing the co-creation level of the people involved ion the innovation process. The methodology was used in different environments, including food and beverage (Lavazza), automotive (FCA, IVECO), public companies (CIDIU), energy (Emerson Power), Parcel delivery (TNT, DHL, PonyZero).trascinare gli elementi del sito sulla tua pagina, aggiungere contenuti e modificarli in base alle tue esigenze.
The research focused on the integration of optimization procedures in the supply chain of freight transportation in urban areas, and ion Last Mile Logistics in particular. This is a major challenge, due to the peculiarities of the Last Mile Logistics and to the fact that different aspects (economical, environmental, social, behavioural) must be taken into account.
PACKING AND LOADING
New, fast and accurate lower bounds have been introduced for the Bin Packing problem. New approaches for the accommodation of items in two and three dimensions have been studied. By means of these new approaches, heuristic algorithms for the bin packing and container packing problems have been developed and tested, obtaining better results than the state of the art methods.
ROUTING AND FLEET MANAGEMENT
A new family of VRP problems, the Multi-Echelon VRP problems, has been introduced. For the 2-Echelon version of these problems, models, exact and heuristic methods have been developed, including math-heuristics, cluster-based heuristics, and several cut families.
STOCHASTIC PROBLEMS AND MANAGEMENT OF UNCERTAINTY.
New deterministic approximations of stochastic problems. Those approximations are able both to give an accurate bound of the stochastic objective function and to predict the optimal stochastic decisions. Definition of new stochastic problems for strategic and tactical decisions in supply chains and transportation systems.
POLITECNICO DI TORINO
PHD Soft Skills Course
The development of a business idea in terms of Business Development is a key activity for reaching your goals in terms of both research exploitation and industrial application. For this reasons, several methods was presented in the literature. Those methodologies are usually domain specific and have a significant overhead, limiting their usage in small and medium enterprises, startups and small research groups.
This course gives the basic knowledge id Lean Startup and Lean Management, as well as the tools to increase the efficacy of the team workflow.
POLITECNICO DI TORINO
Master in Engineering And Management
Technology has revolutionized the way companies conduct business. But this shift is not just technological. It affects companies and markets in the way the business is developed and the decisions are taken. Moreover, the data explosion and the need for real-time decision support means that advanced automated solutions are necessary for humans to deal with data and problems that are increasingly complex and decision-making algorithms (the rules, predictions, constraints, and logic that determine how a decision is made) are changing as well to answer to this challenge.
The objective of the course is to deepen the student's skills in designing decision-making processes, with a specific focus on how to design and deliver decision-making solutions based on quantitative methods.
POLITECNICO DI TORINO
Bachelor in Industrial Engineering
The aim of this course is to give the basic knowledge of the methods and algorithms for modeling and solving problems arising in complex systems management. In particular, at the end of the course, the students will be able to build a formal model of a management and production problem, solve it and present the results to a hypothetical stakeholder.