Business models and Lean Business

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 behavioral 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).

Another research line considers the definition of new tools and methods for the design and analysis surveys, as well as their automatic acquisition and evaluation by means of CAPI-based systems (e.g., Android tablets, Web services, etc.). In more details, I was involved in Eurofot, a European project for the analysis of the behaviors of drivers using a special device, the Driving Advisor. Moreover, I have been head of the R\&D division of BDS Consulting s.r.l. and in charge of the design and analysis of surveys in the main Italian Airports (coverage of about 70\% of the Italian passengers flows).

Operations management and Combinatorial Optimization

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.

Smart Cities and City Logistics

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, behavioral) must be taken into account.

Copiright © 2011 Guido Perboli