@book{
	11589_24006,
	author = { Digiesi S  and  Mascolo G  and  Mossa G  and  Mummolo G },
	title = {New Models for Sustainable Logistics, SpringerBriefs in Operations Management},
	year = {9999},
	publisher = {Springer},
	keywords = {Sustainable Logistics; Models}
}
@article{
	11589_991,
	author = { Mossa G  and  Boenzi F  and  Digiesi S  and  Mummolo G  and  Romano V A },
	title = {Optimal job rotation scheduling under productivity and ergonomic risk in human based production system: a job rotation scheduling model},
	year = {9999},
	journal = {INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS},
	keywords = {ERGONOMICS; SCHEDULING; JOB ROTATION}
}
@article{
	11589_4729,
	author = { S  Digiesi  and  G  Mascolo  and  Mossa G  and  G  Mummolo },
	title = {Internalization strategies of external costs of transport for a sustainable logistics},
	year = {9999},
	journal = {INTERNATIONAL JOURNAL OF PRODUCTIVITY AND QUALITY MANAGEMENT}
}
@conference{
	11589_21854,
	author = { BOENZI F  and  DIGIESI S  and  FACCHINI F  and  MOSSA G  and  MUMMOLO G },
	title = {Greening activities in warehouses: a model for identifying sustainable strategies in material handling},
	year = {9999},
	booktitle = {Proceedings of the 26th DAAAM International Symposium on Intelligent Manufacturing and Automation, DAAAM 2015}
}
@article{
	11589_7904,
	author = { Digiesi  S  and  Mascolo  G  and  Mossa  G  and  Mummolo  G },
	title = {Internalisation strategies of external costs of transport for a sustainable logistics},
	year = {2016},
	journal = {INTERNATIONAL JOURNAL OF PRODUCTIVITY AND QUALITY MANAGEMENT},
	volume = {18},
	abstract = {Transport is a priority issue for a sustainable development. Freight
transportation is a key component of all the supply chain and logistics systems.
In EU27, 31,030 persons were killed in road incident in 2010 (EU, 2012);
urban outdoor air pollution is estimate to cause 1.3 million deaths worldwide
per year (WHO, 2011); transport is responsible for around a quarter of EU
greenhouse gas emission (EU, 2011); many people are exposed to high
transport noise levels that affect their quality of life and health. These are
examples of external costs generated by transport users but not paid by them. In
the attempt to reduce the environmental costs of transport, EU public decision
makers recognised the need to charge the external costs according to a ‘user
pays’ and ‘polluter pays’ principle to drive supply chain decision makers
towards sustainable choices. In order to achieve EU targets, more severe public
regulations will be adopted in the near future in EU Countries. Traditional
inventory models minimise logistics costs neglecting externalities. The aim of
this paper is to evaluate the benefits of the internalisation of the external costs
in a classical logistic problem, the inventory management problem. In order to
do this, in this paper the sustainable order quantity model (Digiesi et al., 2012)
has been adopted. The model allows identifying (in case of a deterministic
product demand and lead time) the optimal lot-size and transportation mean
which minimise logistic costs (holding, ordering and transport), as well as
external costs of transport. Finally, a sensitivity analysis has been performed in
order to investigate the effects of different internalisation strategies of external
costs on the solution of the inventory problem. In order to evaluate the
effectiveness of the proposed strategies, they have been tested on a real case
study.},
	keywords = {external costs; internalisation strategies; sustainable order quantity},
	pages = {238--257}
}
@article{
	11589_5891,
	author = { Digiesi S  and  Mascolo G  and  Mossa G  and  Mummolo G },
	title = {Internalization strategies of external costs of transport for a sustainable logistics},
	year = {2016},
	journal = {INTERNATIONAL JOURNAL OF PRODUCTIVITY AND QUALITY MANAGEMENT},
	volume = {18},
	abstract = {Transport is a priority issue for a sustainable development. The European Commission planned to implement a full and mandatory internalisation of the transport external costs within the 2020 (EU, 2011). Traditional inventory models, however, minimise logistics costs neglecting externalities. The aim of this paper is to evaluate the social and environmental benefits of the internalisation of the external costs in the inventory management problem. The sustainable order quantity model (Digiesi et al., 2012) has been adopted here in order to identify the optimal lot-size and transportation mean minimising logistic and external costs of transport. A sensitivity analysis has been performed in order to investigate the effects of different internalisation strategies on the solution of the inventory problem. In order to evaluate the effectiveness of the proposed strategies, they have been tested on a real case study.},
	keywords = {Sustainable Logistics},
	doi = {http://dx.doi.org/10.1504/IJPQM.2016.076709},	
	pages = {238--257}
}
@conference{
	11589_20143,
	author = { Boenzi F  and  Digiesi S  and  Mossa G  and  Mummolo G  and  Romano V A },
	title = {Modelling Workforce Aging in Job Rotation Problems},
	year = {2015},
	publisher = {Alexandre Dolgui, Jurek Sasiadek and Marek Zaremba},
	address = {SAINT-ETIENNE},
	journal = {IFAC PROCEEDINGS VOLUMES},
	volume = {48},
	booktitle = {PROCEEDINGS of the 5th IFAC Symposium on Information Control Problems in Manufacturing INCOM 2015},
	abstract = {Human factor is considered as a cost effective alternative to expensive automated solutions, as well as an easily interchangeable high flexible resource. However, for many years the influence of human behavior on production system performance has been underestimated and a lot of unrealistic assumptions have been used to simplify the human component modeling. Nowadays, population aging is acknowledged as a global trend. Among individual factors impacting on workers’ performance, high attention is being paid to the age from scientific community, policy-makers and business leaders. In this paper, demographic aspects and their implications on workforce composition are illustrated; successively, main findings on age-related performance characteristics are summarized. The authors propose an age-related model which aims to find optimal job rotation schedules in work environments characterized by low load manual tasks with a high frequency of repetition (e.g. assembly lines). The model is an integer programming model allowing for the maximization of the overall system performance jointly reducing and balancing human workloads and ergonomic risk within acceptable limits. A numerical example is proposed.},
	keywords = {Aging Workforce Management; Ergonomics; Job Rotation Scheduling; Mathematical Programming},
	doi = {10.1016/j.ifacol.2015.06.148},	
	pages = {604--609}
}
@article{
	11589_5560,
	author = { Caponio  Giancarlo  and  Massaro  Vito  and  Mossa  Giorgio  and  Mummolo  Giovanni },
	title = {Strategic energy planning of residential buildings in a Smart City: a System Dynamics approach},
	year = {2015},
	journal = {INTERNATIONAL JOURNAL OF ENGINEERING BUSINESS MANAGEMENT},
	volume = {7},
	doi = {10.5772/61768},	
}
@conference{
	11589_70157,
	author = { Digiesi  S  and  Facchini  F  and  Mossa  G  and  Mummolo  G  and  Verriello  R },
	title = {A Cyber - Based DSS for a low carbon integrated waste management system in a smart city},
	year = {2015},
	publisher = {IFAC Secretariat},
	address = {;Schlossplatz 12},
	journal = {IFAC PROCEEDINGS VOLUMES},
	volume = {48},
	booktitle = {IFAC Proceedings Volumes (IFAC-PapersOnline)},
	keywords = {Carbon footprint; Cyber Decision Support Systems; Integrated Waste Management System; Smart city; Control and Systems Engineering},
	url = {http://www.ifac-papersonline.net/browser?browse=c},
	doi = {10.1016/j.ifacol.2015.06.440},	
	pages = {2356--2361}
}
@conference{
	11589_70158,
	author = { Digiesi  S  and  Facchini  F  and  Mossa  G  and  Mummolo  G  and  Verriello  R },
	title = {A Cyber - Based DSS for a low carbon integrated waste management system in a smart city},
	year = {2015},
	publisher = {IFAC Secretariat},
	address = {;Schlossplatz 12},
	journal = {IFAC PROCEEDINGS VOLUMES},
	volume = {48},
	booktitle = {IFAC Proceedings Volumes (IFAC-PapersOnline)},
	keywords = {Carbon footprint; Cyber Decision Support Systems; Integrated Waste Management System; Smart city; Control and Systems Engineering},
	url = {http://www.ifac-papersonline.net/browser?browse=c},
	doi = {10.1016/j.ifacol.2015.06.440},	
	pages = {2356--2361}
}
@conference{
	11589_20097,
	author = { Digiesi S  and  F  Facchini  and  G  Mossa  and  G  Mummolo  and  R  Verriello },
	title = {A Cyber – based DSS for a Low Carbon Integrated Waste Management 
System in a Smart City},
	year = {2015},
	publisher = {Elsevier Ltd.Pub.},
	journal = {IFAC PROCEEDINGS VOLUMES},
	volume = {48},
	booktitle = {Proceedings of the 2015 IFAC Symposium on INformation Control in Manufacturing – Ottawa, Canada},
	keywords = {Smart City; Integrated Waste Management System; Cyber Decision Support Systems; Carbon footprint},
	pages = {2356--2361}
}
@conference{
	11589_22758,
	author = { BOENZI F  and  DIGIESI S  and  FACCHINI F  and  MOSSA G  and  MUMMOLO G },
	title = {Sustainable Warehouse Logistics:
 a NIP Model for non-road vehicles and storage configuration selection},
	year = {2015},
	booktitle = {Proceedings of the Summer School Francesco Turco (Industrial Systems Engineering)},
	pages = {263--270}
}
@conference{
	11589_75812,
	author = { Carli  Raffaele  and  Albino  Vito  and  Dotoli  Mariagrazia  and  Mummolo  Giovanni  and  Savino  Mario },
	title = {A dashboard and decision support tool for the energy governance of smart cities},
	year = {2015},
	publisher = {Institute of Electrical and Electronics Engineers Inc.},
	booktitle = {2015 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems, EESMS 2015 - Proceedings},
	keywords = {decision support system; energy efficiency; indicators dashboard; information and communication technologies; management; monitoring; multi-attribute analysis; multi-objective optimization; optimization; smart cities; Computer Science Applications1707 Computer Vision and Pattern Recognition; Artificial Intelligence; Civil and Structural Engineering; Environmental Engineering},
	doi = {10.1109/EESMS.2015.7175846},	
	pages = {23--28}
}
@article{
	11589_1366,
	author = { F  BOENZI  and  MOSSA G  and  G  MUMMOLO  and  V A  ROMANO },
	title = {Workforce Aging in Production Systems: Modeling and Performance Evaluation},
	year = {2015},
	journal = {PROCEDIA ENGINEERING},
	volume = {100},
	booktitle = {The 25th DAAAM (Danube Adria Association for Automation and Manufacturing)Symposium},
	abstract = {Human factor is considered as a cost effective alternative to expensive automated solutions, as well as an easily interchangeable high flexible resource. However, for many years the influence of human behavior on production system performance has been underestimated and a lot of unrealistic assumptions have been used to simplify the human component modeling.

Nowadays, population aging is acknowledged as a global trend. Among individual factors impacting on workers’ performance, high attention is being paid to the age from scientific community, policy-makers and business leaders.

The aim of this paper is to provide some highlights about the main scientific literature findings, regarding aging effects, in a quickly consultable and synthetic form; the elements characterizing human performance could then be included in models and ergonomic evaluation tools.

In the initial part of the paper, demographic aspects and their implications on workforce composition are illustrated; successively, a state of the art of human behavior modeling is provided and main findings on age-related performance characteristics are summarized.},
	keywords = {Human Factors; Workforce Aging; Modelling},
	doi = {10.1016/j.proeng.2015.01.473},	
	pages = {1108--1115}
}
@conference{
	11589_77759,
	author = { Caponio  G  and  Mascolo  G  and  Mummolo  G  and  Mossa  G  and  Digiesi  S },
	title = {Commuting carbon dioxide (CO2) emissions: A study of ten Italian metropolitan cities},
	year = {2015},
	publisher = {AIDI - Italian Association of Industrial Operations Professors},
	volume = {2015-},
	booktitle = {Proceedings of the Summer School Francesco Turco},
	keywords = {Carbon footprint; CO2emission factors; Commuting matrix; Occupancy rate; Urban mobility; Business and International Management; Management of Technology and Innovation; Organizational Behavior and Human Resource Management; Strategy and Management1409 Tourism, Leisure and Hospitality Management; Management Science and Operations Research; Industrial and Manufacturing Engineering; Safety, Risk, Reliability and Quality; Waste Management and Disposal},
	url = {http://www.summerschool-aidi.it/edition-2014/program/session-1.html},
	pages = {200--207}
}
@conference{
	11589_77740,
	author = { Digiesi  S  and  Mossa  G  and  Mummolo  G  and  Verriello  R },
	title = {A carbon footprint calculator for the municipal waste collection system of Bari},
	year = {2015},
	publisher = {AIDI - Italian Association of Industrial Operations Professors},
	booktitle = {Proceedings of the Summer School Francesco Turco},
	keywords = {Carbon Footprint; Environmental sustainability; Smart city; Waste management; Business and International Management; Management of Technology and Innovation; Organizational Behavior and Human Resource Management; Strategy and Management1409 Tourism, Leisure and Hospitality Management; Management Science and Operations Research; Industrial and Manufacturing Engineering; Safety, Risk, Reliability and Quality; Waste Management and Disposal},
	url = {http://www.summerschool-aidi.it/edition-2014/program/session-1.html},
	pages = {124--129}
}
@inbook{
	11589_12116,
	author = { Mummolo G},
	title = {Looking at the Future of Industrial Engineering in Europe},
	year = {2014},
	publisher = {Springer},
	journal = {LECTURE NOTES IN MANAGEMENT AND INDUSTRIAL ENGINEERING},
	volume = {N. 2},
	booktitle = {Managing Complexity: Challenges for Industrial Engineering and Operations Management},
	pages = {3--18}
}
@conference{
	11589_20421,
	author = { Digiesi S  and  Mossa G  and  Mummolo G  and  Verriello R },
	title = {Minimizing Carbon-footprint of Municipal Waste Integrated Management Systems},
	year = {2014},
	booktitle = {A CHALLENGE FOR THE FUTURE - The role of industrial engineering in a global sustainable economy},
	abstract = {Sustainability in urban development, economic growth and human well-being are critical issues faced all over the world. In the last decade urban planning and management had accomplished, or will do it, innovations in order to meet the challenges posed by sustainable development. Reduction of 20% of GHG emission, the achievement of 20% energy demand by renewable energy together with an increase of 20% of energy efficiency are targets foreseen by EU. In this scenario a strategic role is played by municipal waste integrated management system (MWIMS). The matter is becoming increasingly important as a results of the growth of urbanization rate: the raising complexity of a MWIMS relies on the high number of design and management variables and relationships pertaining to collection, treatments and disposal phases. Waste management practices can sway greenhouse gas emission by affecting energy consumption, methane generation, carbon sequestration and non-energy related manufacturing emission. In this context, a sustainable waste management system allows a reduction of negative impacts on environment. The purpose of such a study is to propose a decision-making framework aiming to minimize the carbon footprint of a MWIMS. The model goes beyond the existing technical and organizational solutions outlining the different options in a much broader view concerning both waste collection and treatments. A mixed integer linear programming model , has been applied to a full case study concerning Bari. The study is carried out within the research project RES NOVAE (Reti, Edifici, Strade ‐ Nuovi Obiettivi Virtuosi per l’Ambiente e l’Energia). The strength of the framework results in supporting public decision-making, a complex process due to the number of decision variables and their implications on economic performance. Results exhibit the effectiveness of the model also in pointing out opportunities non yet evaluated.},
	keywords = {Carbon foot print; Municipal waste management}
}
@inbook{
	11589_13280,
	author = { G CAPONIO  and  G D'ALESSANDRO  and  S DIGIESI  and  MOSSA G  and  G MUMMOLO  and  R VERRIELLO },
	title = {Minimizing Carbon-Footprint of Municipal Waste Separate Collection Systems},
	year = {2014},
	publisher = {Springer},
	address = {Basel},
	journal = {LECTURE NOTES IN MANAGEMENT AND INDUSTRIAL ENGINEERING},
	booktitle = {The Global Reach of Industrial Engineering. Enhancing Synergies in a Collaborative Environment},
	abstract = {Environmental performance of municipal waste management systems plays a key role in the so called smart cities performance. The authors propose a reference framework for public decision-making in optimizing municipal waste separate collection systems. A Mixed Integer Nonlinear Programming (MINLP) model is built up to set the collecting system and the optimal level of collection of each fraction. The goal is to minimize carbon footprint of the whole collection system. The model is applied to a full-scale case study. Results obtained stress out the effectiveness of the model. Moreover the Environmental Efficiency Effort index is introduced to test the model solution evaluating the attitude of citizens in participating and improving waste separate collection.},
	keywords = {Decision-making; Municipal Waste Collection System; MINLP},
	doi = {10.1007/978-3-319-14078-0_40},	
	pages = {351--359}
}
@conference{
	11589_18202,
	author = { Caponio G  and  Digiesi S  and  Massaro V  and  Mossa G  and  Mummolo G },
	title = {Urban energy planning: a system dynamics approach for carbon footprint reduction},
	year = {2014},
	booktitle = {Proceedings of the XIX Summer School "Francesco Turco" - 2014},
	abstract = {Nowadays fossil resources still play a major role in the energy production and they are responsible for most of the greenhouse gases (GHG) emissions. The increasing global energy demand requires governments, at both high and local level, planning and forecasting their energy demands in order to meet such needs in the most sustainable way, reducing GHG emissions as already stated in international agreement. Cities play a key role in moving towards a sustainable development, since they are the major energy and resource consumers. Starting from 2008, a group of European cities autonomously sets an ambitious target in seeking to reduce their carbon footprint at least by 20% by 2020 [Covenant of Major - Sustainable Energy Action Plan]. In order to help policy maker reaching the goal, in this study a simulation model of one of these cities (Bari, southern Italy) based on system dynamics has been developed. The model considers the regional energy demand and shows the effects of different strategies on carbon emission performance. The goal here is to provide local decision makers with a holistic view in order to give in-depth understanding and leverage the feedback interrelationship of urban energy system. The simulation model allows to test “what-if” scenarios and analyzes the expected results of implementing certain adjustment and control policies. Results provide essential information for the city’s future energy and carbon emission profiles.},
	keywords = {energy efficiency; system dynamics; carbon footprint reduction}
}