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.