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Guido Perboli
ICT for City Logistics and Enterprises Center, Politecnico di Torino, Turin, Italy

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Journal article
Published: 25 February 2021 in Expert Systems with Applications
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In the field of detection and prediction of company defaults and bankruptcy, significant effort has been devoted to evaluating financial ratios as predictors using statistical models and machine learning techniques. This problem becomes crucially important when financial decision-makers are provided with predictions on which to act, based on the output of prediction models. However, research has shown that such predictors are sufficiently accurate in the short-term, with the focus mainly directed towards large and medium-large companies. In contrast, in this paper, we focus on mid- and long-term bankruptcy prediction (up to 60 months) targeting small and/or medium enterprises. The key contribution of this study is a substantial improvement of the prediction accuracy in the short-term (12 months) using machine learning techniques, compared to the state-of-the-art, while also making accurate mid- and long-term predictions (measure of the area under the ROC curve of 0.88 with a 60 month prediction horizon). Extensive computational tests on the entire set of companies in Italy highlight the efficiency and accuracy of the developed method, as well as demonstrating the possibility of using it as a tool for the development of strategies and policies for entire economic systems. Considering the recent COVID-19 pandemic, we show how our method can be used as a viable tool for large-scale policy-making.

ACS Style

Guido Perboli; Ehsan Arabnezhad. A Machine Learning-based DSS for mid and long-term company crisis prediction. Expert Systems with Applications 2021, 174, 114758 .

AMA Style

Guido Perboli, Ehsan Arabnezhad. A Machine Learning-based DSS for mid and long-term company crisis prediction. Expert Systems with Applications. 2021; 174 ():114758.

Chicago/Turabian Style

Guido Perboli; Ehsan Arabnezhad. 2021. "A Machine Learning-based DSS for mid and long-term company crisis prediction." Expert Systems with Applications 174, no. : 114758.

Journal article
Published: 25 December 2020 in Transportation Research Part E: Logistics and Transportation Review
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Two-tier city logistics systems are playing a very important role nowadays in the management of urban freight activities. Although several city authorities have promoted different measures to foster the implementation of small urban consolidation centers in a two-tier system, only a few authors have addressed the joint problem of operating these facilities and providing services to customers. We show how the problem can be modeled as a new variant of the bin packing, for which we provide a mixed integer programming formulation and two heuristics that are shown to be quite effective in solving efficiently and to near optimality the problem. The application of our approach on real data from the city of Turin puts into highlight the superiority of the consolidation approach, including the bundle of goods from different providers, stockholding and other value-added logistics services, over the classical single-tier approach. In addition, the paper provides a thorough analysis of some emerging aspects of the on-demand economy, as the consideration of customers’ preferences and the integration of multiple delivery options. The managerial insights coming from this work will be part of the new Logistics and Mobility Plan to be activated in 2022 in the Piedmont region.

ACS Style

Guido Perboli; Luce Brotcorne; Maria Elena Bruni; Mariangela Rosano. A new model for Last-Mile Delivery and Satellite Depots management: The impact of the on-demand economy. Transportation Research Part E: Logistics and Transportation Review 2020, 145, 102184 .

AMA Style

Guido Perboli, Luce Brotcorne, Maria Elena Bruni, Mariangela Rosano. A new model for Last-Mile Delivery and Satellite Depots management: The impact of the on-demand economy. Transportation Research Part E: Logistics and Transportation Review. 2020; 145 ():102184.

Chicago/Turabian Style

Guido Perboli; Luce Brotcorne; Maria Elena Bruni; Mariangela Rosano. 2020. "A new model for Last-Mile Delivery and Satellite Depots management: The impact of the on-demand economy." Transportation Research Part E: Logistics and Transportation Review 145, no. : 102184.

Review
Published: 31 October 2020 in Sustainability
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The growth of environmental awareness and more robust enforcement of numerous regulations to reduce greenhouse gas (GHG) emissions have directed efforts towards addressing current environmental challenges. Considering the Vehicle Routing Problem (VRP), one of the effective strategies to control greenhouse gas emissions is to convert the fossil fuel-powered fleet into Environmentally Friendly Vehicles (EFVs). Given the multitude of constraints and assumptions defined for different types of VRPs, as well as assumptions and operational constraints specific to each type of EFV, many variants of environmentally friendly VRPs (EF-VRP) have been introduced. In this paper, studies conducted on the subject of EF-VRP are reviewed, considering all the road transport EFV types and problem variants, and classifying and discussing with a single holistic vision. The aim of this paper is twofold. First, it determines a classification of EF-VRP studies based on different types of EFVs, i.e., Alternative-Fuel Vehicles (AFVs), Electric Vehicles (EVs) and Hybrid Vehicles (HVs). Second, it presents a comprehensive survey by considering each variant of the classification, technical constraints and solution methods arising in the literature. The results of this paper show that studies on EF-VRP are relatively novel and there is still room for large improvements in several areas. So, to determine future insights, for each classification of EF-VRP studies, the paper provides the literature gaps and future research needs.

ACS Style

Erfan Ghorbani; Mahdi Alinaghian; Gevork. Gharehpetian; Sajad Mohammadi; Guido Perboli. A Survey on Environmentally Friendly Vehicle Routing Problem and a Proposal of Its Classification. Sustainability 2020, 12, 9079 .

AMA Style

Erfan Ghorbani, Mahdi Alinaghian, Gevork. Gharehpetian, Sajad Mohammadi, Guido Perboli. A Survey on Environmentally Friendly Vehicle Routing Problem and a Proposal of Its Classification. Sustainability. 2020; 12 (21):9079.

Chicago/Turabian Style

Erfan Ghorbani; Mahdi Alinaghian; Gevork. Gharehpetian; Sajad Mohammadi; Guido Perboli. 2020. "A Survey on Environmentally Friendly Vehicle Routing Problem and a Proposal of Its Classification." Sustainability 12, no. 21: 9079.

Journal article
Published: 22 September 2020 in Sustainability
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In recent years, the concept of a “Smart City” became central in the agenda of researchers, practitioners, and stakeholders. Although the application of information and communication technologies on city management has advanced exponentially, also other components would be needed for building a truly sustainable urban environment. Researchers from different domains debated the definition of a smart city and the conceptual variants. However, a broad view of the smart city field is still missing. This paper attempts to fill this gap by proposing a taxonomic classification of the most 105 outstanding smart city projects in Europe and North America. Collected data are then processed by statistical tools for clearly highlighting the success factors, trends and future paths in which all these projects are moving, along with different aspects (e.g., business model, purpose, industry). We then investigate the European and the North American Smart City concepts, illustrating the key role of mixed public and private partnerships in creating successful projects and the focus on the urban transportation, and freight and last-mile delivery in particular. Moreover, it emerges how the business modeling and the exploitation aspects have still low integration in the projects.

ACS Style

Guido Perboli; Mariangela Rosano. A Taxonomic Analysis of Smart City Projects in North America and Europe. Sustainability 2020, 12, 7813 .

AMA Style

Guido Perboli, Mariangela Rosano. A Taxonomic Analysis of Smart City Projects in North America and Europe. Sustainability. 2020; 12 (18):7813.

Chicago/Turabian Style

Guido Perboli; Mariangela Rosano. 2020. "A Taxonomic Analysis of Smart City Projects in North America and Europe." Sustainability 12, no. 18: 7813.

Journal article
Published: 23 March 2020 in IEEE Access
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One of the main endeavors of smart cities is the organization and subsidization of public transportation. To achieve this, it is important to obtain information about the way in which people move. This once-difficult problem can now be addressed by using smartphones. This paper introduces a machine learning-based framework that is able to discriminate between the usage of a public or a private transportation mode by analyzing a little amount of data sampled by a user’s smartphone. The presented method exhibits a good accuracy and a limited battery consumption. A public anonymized dataset based on real measurements is also provided along with this study. To the best of our knowledge, this is the first dataset of this kind that is offered to the public.

ACS Style

Pino Castrogiovanni; Edoardo Fadda; Guido Perboli; Alessandro Rizzo. Smartphone Data Classification Technique for Detecting the Usage of Public or Private Transportation Modes. IEEE Access 2020, 8, 58377 -58391.

AMA Style

Pino Castrogiovanni, Edoardo Fadda, Guido Perboli, Alessandro Rizzo. Smartphone Data Classification Technique for Detecting the Usage of Public or Private Transportation Modes. IEEE Access. 2020; 8 (99):58377-58391.

Chicago/Turabian Style

Pino Castrogiovanni; Edoardo Fadda; Guido Perboli; Alessandro Rizzo. 2020. "Smartphone Data Classification Technique for Detecting the Usage of Public or Private Transportation Modes." IEEE Access 8, no. 99: 58377-58391.

Journal article
Published: 22 June 2019 in Sustainability
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The improper integration of traditional transportation modes with low emissions vehicles can generate a price war that reduces the service quality, undermining the efficiency and the profitability of parcel delivery operators. This paper aims to provide managerial insights to design a win-win strategy for the co-existence of traditional and green business models. In doing so, we adopt a multi-disciplinary approach that integrates a qualitative analysis through a Lean Business methodology, named GUEST, with a quantitative analysis based on simulation-optimisation techniques. This kind of holistic vision has received little attention in the literature. The first analysis investigates the parcel delivery industry with an emphasis on the main business models involved, their costs and revenues structures, while the quantitative part aims to simulate the system and extract sustainable policies. In particular, results highlight that in deploying mixed-fleet policies, the decision-makers have to focus both on the environmental sustainability that benefits from the adoption of low-emission vehicles, and on the operational feasibility and economic sustainability of the two services. In this direction, the paper suggests some managerial insights concerning the split of the customer demand between traditional and green operators, according to the classes of parcels and geographical areas of the city.

ACS Style

Luce Brotcorne; Guido Perboli; Mariangela Rosano; Qu Wei. A Managerial Analysis of Urban Parcel Delivery: A Lean Business Approach. Sustainability 2019, 11, 3439 .

AMA Style

Luce Brotcorne, Guido Perboli, Mariangela Rosano, Qu Wei. A Managerial Analysis of Urban Parcel Delivery: A Lean Business Approach. Sustainability. 2019; 11 (12):3439.

Chicago/Turabian Style

Luce Brotcorne; Guido Perboli; Mariangela Rosano; Qu Wei. 2019. "A Managerial Analysis of Urban Parcel Delivery: A Lean Business Approach." Sustainability 11, no. 12: 3439.

Journal article
Published: 06 March 2019 in European Journal of Operational Research
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Due to the spread of the social engagement paradigm, several companies are asking people to perform tasks in exchange for a reward. The advantages of this business model are savings in economic and environmental terms. In previous works, it has been proved that the problem of finding the minimum amount of reward such that all tasks are performed is difficult to solve, even for medium-size realistic instances (if more than one type of person is considered). In this paper, we propose a customized version of the progressive hedging algorithm that is able to provide good solutions for large realistic instances. The proposed method reaches the goal of defining a procedure that can be used in real environments.

ACS Style

Edoardo Fadda; Guido Perboli; Roberto Tadei. A progressive hedging method for the optimization of social engagement and opportunistic IoT problems. European Journal of Operational Research 2019, 277, 643 -652.

AMA Style

Edoardo Fadda, Guido Perboli, Roberto Tadei. A progressive hedging method for the optimization of social engagement and opportunistic IoT problems. European Journal of Operational Research. 2019; 277 (2):643-652.

Chicago/Turabian Style

Edoardo Fadda; Guido Perboli; Roberto Tadei. 2019. "A progressive hedging method for the optimization of social engagement and opportunistic IoT problems." European Journal of Operational Research 277, no. 2: 643-652.

Original paper
Published: 27 February 2019 in Optimization Letters
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We consider a decision maker who performs a stochastic decision process over a multiple number of stages, where the choice alternatives are characterized by random utilities with unknown probability distribution. The decisions are nested each other, i.e. the decision taken at each stage is affected by the subsequent stage decisions. The problem consists in maximizing the total expected utility of the overall multi-stage stochastic dynamic decision process. By means of some results of the extreme values theory, the probability distribution of the total maximum utility is derived and its expected value is found. This value is proportional to the logarithm of the accessibility of the decision maker to the overall set of alternatives in the different stages at the start of the decision process. It is also shown that the choice probability to select alternatives becomes a Nested Multinomial Logit model.

ACS Style

Roberto Tadei; Guido Perboli; Daniele Manerba. The multi-stage dynamic stochastic decision process with unknown distribution of the random utilities. Optimization Letters 2019, 14, 1207 -1218.

AMA Style

Roberto Tadei, Guido Perboli, Daniele Manerba. The multi-stage dynamic stochastic decision process with unknown distribution of the random utilities. Optimization Letters. 2019; 14 (5):1207-1218.

Chicago/Turabian Style

Roberto Tadei; Guido Perboli; Daniele Manerba. 2019. "The multi-stage dynamic stochastic decision process with unknown distribution of the random utilities." Optimization Letters 14, no. 5: 1207-1218.

Journal article
Published: 19 February 2019 in Sustainability
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Synchro-modal supply chain eco-NET (SYNCHRO-NET) is a Horizon 2020 European research project aimed at overcoming the stress due to the increasing transportation distances, the higher complexity, and the vulnerability of international supply chains. In order to foster sustainability, quality, and reliability of such supply chains, SYNCHRO-NET mainly exploits the impact and the possible benefits coming from slow/smart-steaming and synchro-modality transportation strategies, and the related business models. The aim of this paper is to summarize and disseminate the main developments and scientific contributions coming from the project. In particular, the working core of the SYNCHRO-NET solution is an integrated and cloud-based eco-system of optimization and simulation software modules that supports stakeholders’ decisions in freight transportation and logistics management at strategic, operational, and real-time levels. The platform has achieved a high grade of automation in several processes to overcome all the issues related to human-based operations. The efficiency and effectiveness of the overall platform have been tested on three case studies considering pan-European and regional trade lanes, as well as commercial activities between the Far East and European ports. The project results and outputs also allow us to analyze barriers and opportunities of the approach, industrial and academic developments, and relations with emerging technologies.

ACS Style

Riccardo Giusti; Chiara Iorfida; Yuanyuan Li; Daniele Manerba; Stefano Musso; Guido Perboli; Roberto Tadei; Shuai Yuan. Sustainable and De-Stressed International Supply-Chains Through the SYNCHRO-NET Approach. Sustainability 2019, 11, 1083 .

AMA Style

Riccardo Giusti, Chiara Iorfida, Yuanyuan Li, Daniele Manerba, Stefano Musso, Guido Perboli, Roberto Tadei, Shuai Yuan. Sustainable and De-Stressed International Supply-Chains Through the SYNCHRO-NET Approach. Sustainability. 2019; 11 (4):1083.

Chicago/Turabian Style

Riccardo Giusti; Chiara Iorfida; Yuanyuan Li; Daniele Manerba; Stefano Musso; Guido Perboli; Roberto Tadei; Shuai Yuan. 2019. "Sustainable and De-Stressed International Supply-Chains Through the SYNCHRO-NET Approach." Sustainability 11, no. 4: 1083.

Journal article
Published: 11 January 2019 in Transportation Research Part C: Emerging Technologies
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In recent years, the role of freight transportation and parcel delivery in urban areas has increased, supporting the economic and social development of cities. At the same time, the industry is affected by various issues, inefficiencies, and externalities, particularly in the last-mile segment. As such, there is an emerging awareness of a need to improve urban mobility and transportation, making them more sustainable and competitive by mixing traditional and emerging technologies, such as cargo bikes, autonomous vehicles, and drones. In contrast, the complexity of the overall system, characterized by multiple actors with conflicting goals, requires a strategy that harmonizes these actors’ business and operational models. This study contributes in this direction along three axes. First, it defines the main actors involved in urban parcel delivery, and then analyzes their business models and the interactions between them. Second, it investigates the integration of traditional and green logistics (mainly cycle-logistics), from both business and operational perspectives, in order to identify synergies, conflicts, and the operational and economic consequences of adopting green vehicles. Third, it introduces a simulation-optimization decision support system tool capable of assessing mixed-fleet policies for the management of parcel delivery in urban areas. Finally, the decision support system is tested using real data of the city of Turin.

ACS Style

Guido Perboli; Mariangela Rosano. Parcel delivery in urban areas: Opportunities and threats for the mix of traditional and green business models. Transportation Research Part C: Emerging Technologies 2019, 99, 19 -36.

AMA Style

Guido Perboli, Mariangela Rosano. Parcel delivery in urban areas: Opportunities and threats for the mix of traditional and green business models. Transportation Research Part C: Emerging Technologies. 2019; 99 ():19-36.

Chicago/Turabian Style

Guido Perboli; Mariangela Rosano. 2019. "Parcel delivery in urban areas: Opportunities and threats for the mix of traditional and green business models." Transportation Research Part C: Emerging Technologies 99, no. : 19-36.

Journal article
Published: 03 November 2018 in European Journal of Operational Research
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In this paper we present a new problem arising at a tactical level of setting a last-mile parcel delivery service in a city by considering different Transportation Companies (TC), which differ in cost and service quality. The courier must decide which TCs to select for the service in order to minimize the total cost and maximize the total service quality. We show that the problem can be modeled as a new packing problem, the Generalized Bin Packing Problemwith bin-dependent item profits(GBPPI), where the items are the parcels to deliver and the bins are the TCs. The aim of the GBPPIis to select the appropriate fleet from TCs and determine the optimal assignment of parcels to vehicles such that the overall net cost is minimized. This cost takes into account both transportation costs and service quality. We provide a Mixed Integer Programming formulation of the problem, which is the starting point for the development of efficient heuristics that can address the GBPPIfor instances involving up to 1000 items. Extensive computational tests show the accuracy of the proposed methods. Finally, we present a last-mile logistics case study of an international courier which addresses this problem.

ACS Style

Mauro Maria Baldi; Daniele Manerba; Guido Perboli; Roberto Tadei. A Generalized Bin Packing Problem for parcel delivery in last-mile logistics. European Journal of Operational Research 2018, 274, 990 -999.

AMA Style

Mauro Maria Baldi, Daniele Manerba, Guido Perboli, Roberto Tadei. A Generalized Bin Packing Problem for parcel delivery in last-mile logistics. European Journal of Operational Research. 2018; 274 (3):990-999.

Chicago/Turabian Style

Mauro Maria Baldi; Daniele Manerba; Guido Perboli; Roberto Tadei. 2018. "A Generalized Bin Packing Problem for parcel delivery in last-mile logistics." European Journal of Operational Research 274, no. 3: 990-999.

Journal article
Published: 16 October 2018 in IEEE Access
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The Blockchain technology can be defined as a distributed ledger database for recording transactions between parties verifiably and permanently. Blockchain emerged as a leading technology layer for financial applications. Nevertheless, in the past years, the attention of researchers and practitioners moved to the application of the Blockchain technologies to other domains. Recently, it represents the backbone of a new digital supply chain. Thanks to its capability of ensuring data immutability and public accessibility of data streams, Blockchain can increase the efficiency, reliability, and transparency of the overall supply chain, and optimize the inbound processes. The literature concerning Blockchain in non-financial applications mainly focused on the technological part and the Business Process Modeling, lacking in terms of standard methodology for designing a strategy to develop and validate the overall Blockchain solution and integrate it in the Business Strategy. Thus, this paper aims to overcome this lack. First, we integrate the current literature filling the lack concerning the digital strategy, creating a standard methodology to design Blockchain technology use cases, which are not related to finance applications. Second, we present the results of a use case in the fresh food delivery, showing the critical aspects of implementing a Blockchain solution. Moreover, the paper discusses how the Blockchain will help in reducing the logistics costs and in optimizing the operations and the research challenges.

ACS Style

Guido Perboli; Stefano Musso; Mariangela Rosano. Blockchain in Logistics and Supply Chain: A Lean Approach for Designing Real-World Use Cases. IEEE Access 2018, 6, 62018 -62028.

AMA Style

Guido Perboli, Stefano Musso, Mariangela Rosano. Blockchain in Logistics and Supply Chain: A Lean Approach for Designing Real-World Use Cases. IEEE Access. 2018; 6 (99):62018-62028.

Chicago/Turabian Style

Guido Perboli; Stefano Musso; Mariangela Rosano. 2018. "Blockchain in Logistics and Supply Chain: A Lean Approach for Designing Real-World Use Cases." IEEE Access 6, no. 99: 62018-62028.

Journal article
Published: 01 October 2018 in European Journal of Operational Research
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Intermodal transportation refers to multimodal chains or networks involving at least two transportation modes, freight being packed into a "container" and not being handled at intermodal-transfer terminals on its trip from its origin to its destination. This characterization makes intermodal transportation a multi-actor complex system involving a broad range of interacting stakeholders, decision makers, operations, and planning activities. Due to this complexity, simulation is much studied and used within the field of operations research, yielding models, methods, and tools to manage transportation activities and support the decision-making processes. The literature includes a large number of contributions on particular issues, but a broad view of the field is still missing. This paper aims to fill this gap, using a new taxonomy to structure the recent relevant literature. The proposed taxonomy thus appears a useful instrument to classify the literature and support further analyzes, identifying main findings, trends, and future paths of intermodal freight transportation systems across several dimensions (e.g., modes, geographical extensions, time horizons, and simulation objectives)

ACS Style

Teodor Gabriel Crainic; Guido Perboli; Mariangela Rosano. Simulation of intermodal freight transportation systems: a taxonomy. European Journal of Operational Research 2018, 270, 401 -418.

AMA Style

Teodor Gabriel Crainic, Guido Perboli, Mariangela Rosano. Simulation of intermodal freight transportation systems: a taxonomy. European Journal of Operational Research. 2018; 270 (2):401-418.

Chicago/Turabian Style

Teodor Gabriel Crainic; Guido Perboli; Mariangela Rosano. 2018. "Simulation of intermodal freight transportation systems: a taxonomy." European Journal of Operational Research 270, no. 2: 401-418.

Journal article
Published: 20 September 2018 in Transportation Research Procedia
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In recent years, online shopping is increasing the flows that transit into the urban areas. An increase in demand corresponds to an increase in operational complexity for logistics operators and environmental issues. This paper presents the development of a mobile platform integrated with wearable features to foster the collaboration between different actors in urban freight logistics.

ACS Style

Mariangela Rosano; Claudio Giovanni DeMartini; Fabrizio Lamberti; Guido Perboli. A mobile platform for collaborative urban freight transportation. Transportation Research Procedia 2018, 30, 14 -22.

AMA Style

Mariangela Rosano, Claudio Giovanni DeMartini, Fabrizio Lamberti, Guido Perboli. A mobile platform for collaborative urban freight transportation. Transportation Research Procedia. 2018; 30 ():14-22.

Chicago/Turabian Style

Mariangela Rosano; Claudio Giovanni DeMartini; Fabrizio Lamberti; Guido Perboli. 2018. "A mobile platform for collaborative urban freight transportation." Transportation Research Procedia 30, no. : 14-22.

Journal article
Published: 20 September 2018 in Transportation Research Procedia
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Globalization and e-commerce facilities have yielded in the recent years an incredibly huge increment of freight movements. Consequently, the underlying supply chains have become more and more complex to manage for the shipping companies, in terms of costs, distances, times, and environmental sustainability. SYNCHRO-NET, a H2020 European research project, aims to de-stress the international supply chains by fostering cost-effective and greener transportation alternatives. Besides other important actions, the SYNCHRO-NET framework provides an optimization and simulation toolset to support decision-making in freight logistics planning at a strategic level. The synchronized use of different transportation modes and the exploitation of smart steaming strategies for ship movements are the two main aspects considered in this innovative optimization system. In this paper, we present the optimization toolset developed, its contribution with respect to the existing platforms, and the experimental set-up implemented to evaluate its performance, usability, and effectiveness. The system is, in fact, currently under evaluation by several world-wide leading companies in freight logistics and transportation. However, the toolset potentialities go beyond the SYNCHRO-NET context, being the system an open-source project that makes use of open data formats and technologies.

ACS Style

Riccardo Giusti; Daniele Manerba; Guido Perboli; Roberto Tadei; Shuai Yuan. A New Open-source System for Strategic Freight Logistics Planning: the SYNCHRO-NET Optimization Tools. Transportation Research Procedia 2018, 30, 245 -254.

AMA Style

Riccardo Giusti, Daniele Manerba, Guido Perboli, Roberto Tadei, Shuai Yuan. A New Open-source System for Strategic Freight Logistics Planning: the SYNCHRO-NET Optimization Tools. Transportation Research Procedia. 2018; 30 ():245-254.

Chicago/Turabian Style

Riccardo Giusti; Daniele Manerba; Guido Perboli; Roberto Tadei; Shuai Yuan. 2018. "A New Open-source System for Strategic Freight Logistics Planning: the SYNCHRO-NET Optimization Tools." Transportation Research Procedia 30, no. : 245-254.

Article
Published: 17 September 2018 in Economia Politica
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In this paper we propose a multi-objective evolutionary algorithm for supporting the definition of a personal income tax reform. As a case study, we apply this methodology to the Italian income tax, and consider a recently implemented tax cut. Our optimization algorithm can determine a set of tax structures that maximize the redistributive effect of the tax while minimizing its inefficiency—considering for the former the Reynolds–Smolensky index and for the latter the weighted average of taxpayers’ effective marginal tax rates. The approach also takes into account two additional factors: the tax has to guarantee a specific revenue and to minimize the share of losing taxpayers with respect to the pre-reform situation. Experimental results demonstrate that the methodology we employ can support the policymaker’s decisions in complex, real-world situations.

ACS Style

Simone Pellegrino; Guido Perboli; Giovanni Squillero. Balancing the equity-efficiency trade-off in personal income taxation: an evolutionary approach. Economia Politica 2018, 36, 37 -64.

AMA Style

Simone Pellegrino, Guido Perboli, Giovanni Squillero. Balancing the equity-efficiency trade-off in personal income taxation: an evolutionary approach. Economia Politica. 2018; 36 (1):37-64.

Chicago/Turabian Style

Simone Pellegrino; Guido Perboli; Giovanni Squillero. 2018. "Balancing the equity-efficiency trade-off in personal income taxation: an evolutionary approach." Economia Politica 36, no. 1: 37-64.

Journal article
Published: 01 September 2018 in Transportation Research Part A: Policy and Practice
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The paper considers an important new and growing business in sustainable transportation, car-sharing services. This is, to our knowledge, the first comprehensive analysis of car-sharing services from the business model point of view. Specifically, we apply and introduce a standard and reproducible way to compare the business models of car-sharing companies. Our analysis results show that a crucial issue in defining car-sharing services is the creation of customized tariff plans. Thus, as a second contribution of our paper, we introduce a specific solution based on Monte Carlo simulation. This tool simulates the existing price and tariff policies or the introduction of new ones for different profiles of car-sharing users, according to different mobility needs and the traffic congestion of the urban area. As an example, we use our methodology to provide an in-depth description of the situation in the city of Turin, Italy

ACS Style

Guido Perboli; Francesco Ferrero; Stefano Musso; Andrea Vesco. Business models and tariff simulation in car-sharing services. Transportation Research Part A: Policy and Practice 2018, 115, 32 -48.

AMA Style

Guido Perboli, Francesco Ferrero, Stefano Musso, Andrea Vesco. Business models and tariff simulation in car-sharing services. Transportation Research Part A: Policy and Practice. 2018; 115 ():32-48.

Chicago/Turabian Style

Guido Perboli; Francesco Ferrero; Stefano Musso; Andrea Vesco. 2018. "Business models and tariff simulation in car-sharing services." Transportation Research Part A: Policy and Practice 115, no. : 32-48.

Journal article
Published: 18 August 2018 in Computers & Operations Research
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We study a multi-product multi-supplier procurement problem in the Automotive sector involving both supplier selection and ordering quantity decisions, and further complicated by the presence of total quantity discounts, business activation costs, and demand uncertainty. Recent works have shown the importance of explicitly incorporate demand uncertainty in this economic setting, along with the evidence about the computational burden of solving the relative Stochastic Programming models for a sufficiently large number of scenarios. In this work, we propose different solution strategies to efficiently cope with these models by taking advantage of the particular structure of the stochastic problem. More precisely, we propose and test several variants of a Progressive Hedging based heuristic approach as well as a Benders algorithm. The results obtained on benchmark instances show how the proposed methods outperform the existing ones and the state-of-the-art solvers in terms of efficiency and solution quality. In particular, thanks to the developed Progressive Hedging, we have been able to solve for the first time problem instances with up to 20 suppliers and 30 products.

ACS Style

Daniele Manerba; Guido Perboli. New solution approaches for the capacitated supplier selection problem with total quantity discount and activation costs under demand uncertainty. Computers & Operations Research 2018, 101, 29 -42.

AMA Style

Daniele Manerba, Guido Perboli. New solution approaches for the capacitated supplier selection problem with total quantity discount and activation costs under demand uncertainty. Computers & Operations Research. 2018; 101 ():29-42.

Chicago/Turabian Style

Daniele Manerba; Guido Perboli. 2018. "New solution approaches for the capacitated supplier selection problem with total quantity discount and activation costs under demand uncertainty." Computers & Operations Research 101, no. : 29-42.

Conference paper
Published: 01 August 2018 in 2018 IEEE 14th International Conference on Automation Science and Engineering (CASE)
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One application of network optimization is the study of the policies able to change people habits in transportation mode selection. The main strategy for achieving this objective is to develop a model describing the preferences of the people by considering the characteristics of the transportation modes (such as cost, travel duration) and then to develop policies in order to improve the characteristics of the target transportation mode. These models are called utility models and have a long story. Nevertheless, the data needed for their fitting are difficult to get. One of the main issues in this case is how to collect the data and how to tune a model that can be easily scaled and adapted to different settings. In this paper, we describe the results achieved during the Open Agora project where the utility model is tined with crowdsourcing data coming from mobile phone applications and collected indirectly by the users.

ACS Style

Edoardo Fadda; Guido Perboli; Valerio Vallesio; Dario Mana. Sustainable mobility and user preferences by crowdsourcing data: the Open Agora project. 2018 IEEE 14th International Conference on Automation Science and Engineering (CASE) 2018, 1243 -1248.

AMA Style

Edoardo Fadda, Guido Perboli, Valerio Vallesio, Dario Mana. Sustainable mobility and user preferences by crowdsourcing data: the Open Agora project. 2018 IEEE 14th International Conference on Automation Science and Engineering (CASE). 2018; ():1243-1248.

Chicago/Turabian Style

Edoardo Fadda; Guido Perboli; Valerio Vallesio; Dario Mana. 2018. "Sustainable mobility and user preferences by crowdsourcing data: the Open Agora project." 2018 IEEE 14th International Conference on Automation Science and Engineering (CASE) , no. : 1243-1248.

Journal article
Published: 01 August 2018 in INFORMS Journal on Applied Analytics
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The Optimization for Networked Data in Environmental Urban Waste Collection (ONDE-UWC) project is, to the best of our knowledge, the first attempt to apply the Internet of Things (IoT) paradigm to the field of waste collection. Sensors installed in dumpsters and garbage trucks share data, such as weight measurements and the number of user accesses. In this study, we schedule the weekly waste-collection activities for multiple types of waste without imposing periodic routes. An important characteristic of this project is that we consider heterogeneous stakeholders with different backgrounds and knowledge. In this context, we apply the GUEST OR methodology, highlighting how it can support the decision-making process to reduce the effects of these differences. As a result, we reduced the time required to implement the solution, increased operational efficiency, and achieved cost savings.

ACS Style

Edoardo Fadda; Luca Gobbato; Guido Perboli; Mariangela Rosano; Roberto Tadei. Waste Collection in Urban Areas: A Case Study. INFORMS Journal on Applied Analytics 2018, 48, 307 -322.

AMA Style

Edoardo Fadda, Luca Gobbato, Guido Perboli, Mariangela Rosano, Roberto Tadei. Waste Collection in Urban Areas: A Case Study. INFORMS Journal on Applied Analytics. 2018; 48 (4):307-322.

Chicago/Turabian Style

Edoardo Fadda; Luca Gobbato; Guido Perboli; Mariangela Rosano; Roberto Tadei. 2018. "Waste Collection in Urban Areas: A Case Study." INFORMS Journal on Applied Analytics 48, no. 4: 307-322.