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In recent years, the continuous increase of greenhouse gas emissions has led many companies to investigate the activities that have the greatest impact on the environment. Recent studies estimate that around 10% of worldwide CO2 emissions derive from logistical supply chains. The considerable amount of energy required for heating, cooling, and lighting as well as material handling equipment (MHE) in warehouses represents about 20% of the overall logistical costs. The reduction of warehouses’ energy consumption would thus lead to a significant benefit from an environmental point of view. In this context, sustainable strategies allowing the minimization of the cost of energy consumption due to MHE represent a new challenge in warehouse management. Consistent with this purpose, a two-step optimization model based on integer programming is developed in this paper to automatically identify an optimal schedule of the material handling activities of electric mobile MHEs (MMHEs) (i.e., forklifts) in labor-intensive warehouses from profit and sustainability perspectives. The resulting scheduling aims at minimizing the total cost, which is the sum of the penalty cost related to the makespan of the material handling activities and the total electricity cost of charging batteries. The approach ensures that jobs are executed in accordance with priority queuing and that the completion time of battery recharging is minimized. Realistic numerical experiments are conducted to evaluate the effects of integrating the scheduling of electric loads into the scheduling of material handling operations. The obtained results show the effectiveness of the model in identifying the optimal battery-charging schedule for a fleet of electric MMHEs from economic and environmental perspectives simultaneously.
Raffaele Carli; Mariagrazia Dotoli; Salvatore Digiesi; Francesco Facchini; Giorgio Mossa. Sustainable Scheduling of Material Handling Activities in Labor-Intensive Warehouses: A Decision and Control Model. Sustainability 2020, 12, 3111 .
AMA StyleRaffaele Carli, Mariagrazia Dotoli, Salvatore Digiesi, Francesco Facchini, Giorgio Mossa. Sustainable Scheduling of Material Handling Activities in Labor-Intensive Warehouses: A Decision and Control Model. Sustainability. 2020; 12 (8):3111.
Chicago/Turabian StyleRaffaele Carli; Mariagrazia Dotoli; Salvatore Digiesi; Francesco Facchini; Giorgio Mossa. 2020. "Sustainable Scheduling of Material Handling Activities in Labor-Intensive Warehouses: A Decision and Control Model." Sustainability 12, no. 8: 3111.
This paper investigates the impact of the adoption of public support on the performance of public–private partnership (PPP) projects as perceived and measured by the different actors involved. In particular, the public support investigated by this study is put-or pay contracts, which are often used in PPP projects financed through project finance to optimize risk allocation. In order to quantify the benefit gained by each party with and without the put-or-pay contract, cash flows of the project have been modeled by using the concept of real option, defined as the right without the obligation to make an action if it is convenient to do so. This concept enabled us to model and quantify the inner flexibility mechanism of put-or-pay contracts. With a put-or-pay agreement signed between the municipality, a (private) owner, and operator of a disposal facility, the owner of the facility has the faculty, without any obligation, to require the payment of penalty, if the municipality fails to meet its obligations. This means that the owner of the facility holds a series of European put options that can be exercised if it is convenient for the holder. The developed model has been used for studying the effectiveness of put-or-pay contracts for financing the treatment plant of a special dispose through project finance, i.e., the plant for disposal of marine plant posidonia.
Antonella Lomoro; Giorgio Mossa; Roberta Pellegrino; Luigi Ranieri. Optimizing Risk Allocation in Public-Private Partnership Projects by Project Finance Contracts. The Case of Put-or-Pay Contract for Stranded Posidonia Disposal in the Municipality of Bari. Sustainability 2020, 12, 806 .
AMA StyleAntonella Lomoro, Giorgio Mossa, Roberta Pellegrino, Luigi Ranieri. Optimizing Risk Allocation in Public-Private Partnership Projects by Project Finance Contracts. The Case of Put-or-Pay Contract for Stranded Posidonia Disposal in the Municipality of Bari. Sustainability. 2020; 12 (3):806.
Chicago/Turabian StyleAntonella Lomoro; Giorgio Mossa; Roberta Pellegrino; Luigi Ranieri. 2020. "Optimizing Risk Allocation in Public-Private Partnership Projects by Project Finance Contracts. The Case of Put-or-Pay Contract for Stranded Posidonia Disposal in the Municipality of Bari." Sustainability 12, no. 3: 806.
During the last years, due to the strict regulations on waste landfilling, anaerobic digestion (AD) of the organic fraction of municipal solid waste (OFMSW) is increasingly considered a sustainable alternative for waste stabilization and energy recovery. AD can reduce the volume of OFMSW going to landfill and produce, at the same time, biogas and compost, all at a profit. The uncertainty about the collected quantity of organic fraction, however, may undermine the economic-financial sustainability of such plants. While the flexibility characterizing some AD technologies may prove very valuable in uncertain contexts since it allows adapting plant capacity to changing environments, the investment required for building flexible systems is generally higher than the investment for dedicated equipment. Hence, an adequate justification of investments in these flexible systems is needed. This paper presents the results of a study aimed at investigating how different technologies may perform from technical, economic and financial standpoints, in presence of an uncertain organic fraction quantity to be treated. Focusing on two AD treatment plant configurations characterized by a technological process with different degree of flexibility, a real options-based model is developed and then applied to the case of the urban waste management system of the Metropolitan Area of Bari (Italy). Results show the importance of pricing the flexibility of treatment plants, which becomes a critical factor in presence of an uncertain organic fraction. Hence, it has to be taken into consideration in the design phase of these plants.
Luigi Ranieri; Giorgio Mossa; Roberta Pellegrino; Salvatore Digiesi. Energy Recovery from the Organic Fraction of Municipal Solid Waste: A Real Options-Based Facility Assessment. Sustainability 2018, 10, 368 .
AMA StyleLuigi Ranieri, Giorgio Mossa, Roberta Pellegrino, Salvatore Digiesi. Energy Recovery from the Organic Fraction of Municipal Solid Waste: A Real Options-Based Facility Assessment. Sustainability. 2018; 10 (2):368.
Chicago/Turabian StyleLuigi Ranieri; Giorgio Mossa; Roberta Pellegrino; Salvatore Digiesi. 2018. "Energy Recovery from the Organic Fraction of Municipal Solid Waste: A Real Options-Based Facility Assessment." Sustainability 10, no. 2: 368.
Maria Grazia Gnoni; Giorgio Mossa; Giovanni Mummolo; Fabiana Tornese; Rossella Verriello. Supporting Circular Economy through Use-Based Business Models: The Washing Machines Case. Procedia CIRP 2017, 64, 49 -54.
AMA StyleMaria Grazia Gnoni, Giorgio Mossa, Giovanni Mummolo, Fabiana Tornese, Rossella Verriello. Supporting Circular Economy through Use-Based Business Models: The Washing Machines Case. Procedia CIRP. 2017; 64 ():49-54.
Chicago/Turabian StyleMaria Grazia Gnoni; Giorgio Mossa; Giovanni Mummolo; Fabiana Tornese; Rossella Verriello. 2017. "Supporting Circular Economy through Use-Based Business Models: The Washing Machines Case." Procedia CIRP 64, no. : 49-54.
Purpose: The aim of this study is to identify the best Material Handling Equipment (MHE) to minimize the carbon footprint of inbound logistic activities, based on the type of the warehouse (layout, facilities and order-picking strategy) as well as the weight of the loads to be handled.Design/methodology/approach: A model to select the best environmental MHE for inbound logistic activities has been developed. Environmental performance of the MHE has been evaluated in terms of carbon Footprint (CF). The model is tested with a tool adopting a VBA macro as well as a simulation software allowing the evaluation of energy and time required by the forklift in each phase of the material handling cycle: picking, sorting and storing of the items.Findings: Nowadays, it is not possible to identify ‘a priori’ a particular engine equipped forklift performing better than others under an environmental perspective. Consistently, the application of the developed model allows to identify the best MHE tailored to each case analyzed. Originality/value: This work gives a contribution to the disagreement between environmental performances of forklifts equipped with different engines. The developed model can be considered a valid support for decision makers to identify the best MHE minimizing the carbon footprint of inbound logistic activities.
Francesco Facchini; Giovanni Mummolo; Giorgio Mossa; Salvatore Digiesi; Francesco Boenzi; Rossella Verriello. Minimizing the carbon footprint of material handling equipment: Comparison of electric and LPG forklifts. Journal of Industrial Engineering and Management 2016, 9, 1035 .
AMA StyleFrancesco Facchini, Giovanni Mummolo, Giorgio Mossa, Salvatore Digiesi, Francesco Boenzi, Rossella Verriello. Minimizing the carbon footprint of material handling equipment: Comparison of electric and LPG forklifts. Journal of Industrial Engineering and Management. 2016; 9 (5):1035.
Chicago/Turabian StyleFrancesco Facchini; Giovanni Mummolo; Giorgio Mossa; Salvatore Digiesi; Francesco Boenzi; Rossella Verriello. 2016. "Minimizing the carbon footprint of material handling equipment: Comparison of electric and LPG forklifts." Journal of Industrial Engineering and Management 9, no. 5: 1035.
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.
Salvatore Digiesi; Giuseppe Mascolo; Giorgio Mossa; Giovanni Mummolo. Internalisation strategies of external costs of transport for a sustainable logistics. International Journal of Productivity and Quality Management 2016, 18, 238 .
AMA StyleSalvatore Digiesi, Giuseppe Mascolo, Giorgio Mossa, Giovanni Mummolo. Internalisation strategies of external costs of transport for a sustainable logistics. International Journal of Productivity and Quality Management. 2016; 18 (2/3):238.
Chicago/Turabian StyleSalvatore Digiesi; Giuseppe Mascolo; Giorgio Mossa; Giovanni Mummolo. 2016. "Internalisation strategies of external costs of transport for a sustainable logistics." International Journal of Productivity and Quality Management 18, no. 2/3: 238.
Giorgio Mossa; F. Boenzi; S. Digiesi; Giovanni Mummolo; V.A. Romano. Productivity and ergonomic risk in human based production systems: A job-rotation scheduling model. International Journal of Production Economics 2016, 171, 471 -477.
AMA StyleGiorgio Mossa, F. Boenzi, S. Digiesi, Giovanni Mummolo, V.A. Romano. Productivity and ergonomic risk in human based production systems: A job-rotation scheduling model. International Journal of Production Economics. 2016; 171 ():471-477.
Chicago/Turabian StyleGiorgio Mossa; F. Boenzi; S. Digiesi; Giovanni Mummolo; V.A. Romano. 2016. "Productivity and ergonomic risk in human based production systems: A job-rotation scheduling model." International Journal of Production Economics 171, no. : 471-477.
Francesco Boenzi; Salvatore Digiesi; Francesco Facchini; Giorgio Mossa; Giovanni Mummolo. Greening Activities in Warehouses: A Model for Identifying Sustainable Strategies in Material Handling. Proceedings of the 27th International DAAAM Symposium 2016 2016, 1, 980 -988.
AMA StyleFrancesco Boenzi, Salvatore Digiesi, Francesco Facchini, Giorgio Mossa, Giovanni Mummolo. Greening Activities in Warehouses: A Model for Identifying Sustainable Strategies in Material Handling. Proceedings of the 27th International DAAAM Symposium 2016. 2016; 1 ():980-988.
Chicago/Turabian StyleFrancesco Boenzi; Salvatore Digiesi; Francesco Facchini; Giorgio Mossa; Giovanni Mummolo. 2016. "Greening Activities in Warehouses: A Model for Identifying Sustainable Strategies in Material Handling." Proceedings of the 27th International DAAAM Symposium 2016 1, no. : 980-988.
This book introduces new inventory models to support decision-making when cost of externalities are jointly considered along with costs of logistics. Internalization of cost of externalities gives rise to new logistics costs estimates and functions which managers, researchers, lecturers and students should refer in facing with logistics issues. This book focuses on freight transports of industrial production systems. Logistics play a key role for industries since it reveals a critical function designed and managed to pursue economic goals. A large amount of literature is available providing models, which can be used to minimize logistic costs. However, these models usually neglect externalities.New Models for Sustainable Logistics: Internalization of External Costs in Inventory Management is comprised of three chapters. Chapter 1 provides a taxonomy of external costs figures as well as data set enabling the reader to perform reliable estimates of freight transport external costs. To this purpose, a full scale case study is developed. Chapter 2 describes a new sustainable inventory management model whose cost functions include externalities. The classical ‘Economic Order Quantity’ model is re-formulated and the new concept of Sustainable Order Quantity (SOQ) is defined. Finally, in Chapter 3 the SOQ model is formulated for different inventory management applications referred to both deterministic and stochastic production environments. Numerical examples are also provided.
Salvatore Digiesi; Giuseppe Mascolo; Giorgio Mossa; Giovanni Mummolo. New Models for Sustainable Logistics. New Models for Sustainable Logistics 2016, 1 .
AMA StyleSalvatore Digiesi, Giuseppe Mascolo, Giorgio Mossa, Giovanni Mummolo. New Models for Sustainable Logistics. New Models for Sustainable Logistics. 2016; ():1.
Chicago/Turabian StyleSalvatore Digiesi; Giuseppe Mascolo; Giorgio Mossa; Giovanni Mummolo. 2016. "New Models for Sustainable Logistics." New Models for Sustainable Logistics , no. : 1.
Vito Massaro; Salvatore Digiesi; Giorgio Mossa; Luigi Ranieri; Massaro Vito; Digiesi Salvatore; Mossa Giorgio; Ranieri Luigi. The sustainability of anaerobic digestion plants: a win–win strategy for public and private bodies. Journal of Cleaner Production 2015, 104, 445 -459.
AMA StyleVito Massaro, Salvatore Digiesi, Giorgio Mossa, Luigi Ranieri, Massaro Vito, Digiesi Salvatore, Mossa Giorgio, Ranieri Luigi. The sustainability of anaerobic digestion plants: a win–win strategy for public and private bodies. Journal of Cleaner Production. 2015; 104 ():445-459.
Chicago/Turabian StyleVito Massaro; Salvatore Digiesi; Giorgio Mossa; Luigi Ranieri; Massaro Vito; Digiesi Salvatore; Mossa Giorgio; Ranieri Luigi. 2015. "The sustainability of anaerobic digestion plants: a win–win strategy for public and private bodies." Journal of Cleaner Production 104, no. : 445-459.
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 (CS) and the optimal level of collection of each fraction. The goal is to minimize carbon footprint of the whole CS. 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.
Giancarlo Caponio; Giuseppe D’Alessandro; Salvatore Digiesi; Giorgio Mossa; Giovanni Mummolo; Rossella Verriello. Minimizing Carbon-Footprint of Municipal Waste Separate Collection Systems. Lecture Notes in Management and Industrial Engineering 2015, 351 -359.
AMA StyleGiancarlo Caponio, Giuseppe D’Alessandro, Salvatore Digiesi, Giorgio Mossa, Giovanni Mummolo, Rossella Verriello. Minimizing Carbon-Footprint of Municipal Waste Separate Collection Systems. Lecture Notes in Management and Industrial Engineering. 2015; ():351-359.
Chicago/Turabian StyleGiancarlo Caponio; Giuseppe D’Alessandro; Salvatore Digiesi; Giorgio Mossa; Giovanni Mummolo; Rossella Verriello. 2015. "Minimizing Carbon-Footprint of Municipal Waste Separate Collection Systems." Lecture Notes in Management and Industrial Engineering , no. : 351-359.
F. Boenzi; S. Digiesi; Giorgio Mossa; Giovanni Mummolo; V.A. Romano. Modelling Workforce Aging in Job Rotation Problems. IFAC-PapersOnLine 2015, 48, 604 -609.
AMA StyleF. Boenzi, S. Digiesi, Giorgio Mossa, Giovanni Mummolo, V.A. Romano. Modelling Workforce Aging in Job Rotation Problems. IFAC-PapersOnLine. 2015; 48 (3):604-609.
Chicago/Turabian StyleF. Boenzi; S. Digiesi; Giorgio Mossa; Giovanni Mummolo; V.A. Romano. 2015. "Modelling Workforce Aging in Job Rotation Problems." IFAC-PapersOnLine 48, no. 3: 604-609.
S. Digiesi; F. Facchini; Giorgio Mossa; Giovanni Mummolo; R. Verriello. A Cyber - based DSS for a Low Carbon Integrated Waste Management System in a Smart City. IFAC-PapersOnLine 2015, 48, 2356 -2361.
AMA StyleS. Digiesi, F. Facchini, Giorgio Mossa, Giovanni Mummolo, R. Verriello. A Cyber - based DSS for a Low Carbon Integrated Waste Management System in a Smart City. IFAC-PapersOnLine. 2015; 48 (3):2356-2361.
Chicago/Turabian StyleS. Digiesi; F. Facchini; Giorgio Mossa; Giovanni Mummolo; R. Verriello. 2015. "A Cyber - based DSS for a Low Carbon Integrated Waste Management System in a Smart City." IFAC-PapersOnLine 48, no. 3: 2356-2361.
Buildings are the largest urban energy consumers, but their impact can be largely cut back by improving efficiency. Policy-making plays a crucial role in harmonizing national and local incentive schemes. The authors analyse variables related to energy consumption, then propose a simulation model based on System Dynamics applied to a medium-sized Italian city. The model allows the testing of “what-if” scenarios and analysis of the results of implementing energy efficiency policies. Results stress the importance of a holistic view of urban energy processes. Simulation trends provide essential information for the city's future energy and carbon emission profiles, helping policymakers to achieve their goal.
Giancarlo Caponio; Vito Massaro; Giorgio Mossa; Giovanni Mummolo. Strategic Energy Planning of Residential Buildings in a Smart City: A System Dynamics Approach. International Journal of Engineering Business Management 2015, 7, 20 .
AMA StyleGiancarlo Caponio, Vito Massaro, Giorgio Mossa, Giovanni Mummolo. Strategic Energy Planning of Residential Buildings in a Smart City: A System Dynamics Approach. International Journal of Engineering Business Management. 2015; 7 ():20.
Chicago/Turabian StyleGiancarlo Caponio; Vito Massaro; Giorgio Mossa; Giovanni Mummolo. 2015. "Strategic Energy Planning of Residential Buildings in a Smart City: A System Dynamics Approach." International Journal of Engineering Business Management 7, no. : 20.
F. Boenzi; Giorgio Mossa; Giovanni Mummolo; V.A. Romano. Workforce Aging in Production Systems: Modeling and Performance Evaluation. Procedia Engineering 2015, 100, 1108 -1115.
AMA StyleF. Boenzi, Giorgio Mossa, Giovanni Mummolo, V.A. Romano. Workforce Aging in Production Systems: Modeling and Performance Evaluation. Procedia Engineering. 2015; 100 ():1108-1115.
Chicago/Turabian StyleF. Boenzi; Giorgio Mossa; Giovanni Mummolo; V.A. Romano. 2015. "Workforce Aging in Production Systems: Modeling and Performance Evaluation." Procedia Engineering 100, no. : 1108-1115.
One of the most challenging problems of the ancient architectural heritage is its protection from fire risk. The “Italian Risk assessment map of the cultural heritage” (Carta del Rischio [1]), is a GIS-based platform developed by the Italian Central Institute for Restoration (ISCR) to assess the exposure and the vulnerability to static-structural, environmental, anthropogenic and seismic risk of the historical and cultural heritage. The paper marks a new phase of development of the Risk Map Information System aiming at integrating the vulnerability estimation of the historical buildings with a new method derived from the Fire Risk Index Method for Multi-storey Apartment Buildings (FRIM-MAB). The new index-based method has been tested in a full scale case-study in comparison with both the Italian prescriptive assessment and the performance-based fire protection approach. Results show the capability of the approach, its reliability and user friendliness.
Alessandro Arborea; Giorgio Mossa; Giorgio Cucurachi. Preventive Fire Risk Assessment of Italian Architectural Heritage: An Index Based Approach. Key Engineering Materials 2014, 628, 27 -33.
AMA StyleAlessandro Arborea, Giorgio Mossa, Giorgio Cucurachi. Preventive Fire Risk Assessment of Italian Architectural Heritage: An Index Based Approach. Key Engineering Materials. 2014; 628 ():27-33.
Chicago/Turabian StyleAlessandro Arborea; Giorgio Mossa; Giorgio Cucurachi. 2014. "Preventive Fire Risk Assessment of Italian Architectural Heritage: An Index Based Approach." Key Engineering Materials 628, no. : 27-33.
This paper considers issues of sustainability in the context of spare parts logistics. In particular, the single-product replenishment problem is formulated and an optimal order quantity is derived by minimizing a cost function that includes both economic and environmental costs relating to repair and replacement, including the environmental cost of the production of new parts and the disposal of used parts. The optimal means of transport, the optimal repair policy, and the corresponding optimal value of the sustainable economic order quantity (SOQ) are calculated. A numerical example derived from industrial field data is presented to test the model. Results are discussed and compared with classical EOQ model solutions. SOQ values larger than EOQ, slow means of transportation and high repair rates minimize the cost function, while fast means of transportation are identified as the optimal choice only when transport distances are short and spare parts demand is highly variable.
S. Digiesi; G. Mossa; S. Rubino. A sustainable EOQ model for repairable spare parts under uncertain demand. IMA Journal Of Management Mathematics 2014, 26, 185 -203.
AMA StyleS. Digiesi, G. Mossa, S. Rubino. A sustainable EOQ model for repairable spare parts under uncertain demand. IMA Journal Of Management Mathematics. 2014; 26 (2):185-203.
Chicago/Turabian StyleS. Digiesi; G. Mossa; S. Rubino. 2014. "A sustainable EOQ model for repairable spare parts under uncertain demand." IMA Journal Of Management Mathematics 26, no. 2: 185-203.
Transport plays a key role in inventory management since it affects logistic costs as well as environmental performance of the supply chain. Expected value and variability of supply lead time depend on the transportation means adopted, and influence the optimal values of order quantity, reorder level, and safety stock to be adopted. Fast transportation means allow reducing expected value of the lead time; they are characterized by the highest costs of externalities (i.e. air pollutant emission, noise, congestion, accidents). On the contrary, slow transportation means require high inventory level due to large order quantity; in this case costs of externalities tend to decrease. The Sustainable Order Quantity (SOQ) [1] allows identifying optimal order quantity, reorder level, safety stock as well as transportation means which minimize the sum of the logistic and environmental costs in case of stochastic variability of product demand. In this paper, the authors propose a new SOQ analytical model considering stochastic variability of supply lead time (LT). A solution procedure is suggested for solving the proposed model. The approach is applied to a real industrial case study in order to evaluate the benefits of applying it if compared with the traditional one.
Salvatore Digiesi; Giorgio Mossa; Giovanni Mummolo. SUPPLY LEAD TIME UNCERTAINTY IN A SUSTAINABLE ORDER QUANTITY INVENTORY MODEL. Management and Production Engineering Review 2013, 4, 15 -27.
AMA StyleSalvatore Digiesi, Giorgio Mossa, Giovanni Mummolo. SUPPLY LEAD TIME UNCERTAINTY IN A SUSTAINABLE ORDER QUANTITY INVENTORY MODEL. Management and Production Engineering Review. 2013; 4 (4):15-27.
Chicago/Turabian StyleSalvatore Digiesi; Giorgio Mossa; Giovanni Mummolo. 2013. "SUPPLY LEAD TIME UNCERTAINTY IN A SUSTAINABLE ORDER QUANTITY INVENTORY MODEL." Management and Production Engineering Review 4, no. 4: 15-27.
Gianfranco Ignone; Giorgio Mossa; Giovanni Mummolo; Rosa Pilolli; Luigi Ranieri. Increasing public healthcare network performance by de‐hospitalization. Strategic Outsourcing: An International Journal 2013, 6, 85 -107.
AMA StyleGianfranco Ignone, Giorgio Mossa, Giovanni Mummolo, Rosa Pilolli, Luigi Ranieri. Increasing public healthcare network performance by de‐hospitalization. Strategic Outsourcing: An International Journal. 2013; 6 (1):85-107.
Chicago/Turabian StyleGianfranco Ignone; Giorgio Mossa; Giovanni Mummolo; Rosa Pilolli; Luigi Ranieri. 2013. "Increasing public healthcare network performance by de‐hospitalization." Strategic Outsourcing: An International Journal 6, no. 1: 85-107.
Francesco Boenzi; Salvatore Digiesi; Giorgio Mossa; Giovanni Mummolo; V.A. Romano. Optimal Break and Job Rotation Schedules of High Repetitive – Low Load Manual Tasks in Assembly Lines: an OCRA – Based Approach. IFAC Proceedings Volumes 2013, 46, 1896 -1901.
AMA StyleFrancesco Boenzi, Salvatore Digiesi, Giorgio Mossa, Giovanni Mummolo, V.A. Romano. Optimal Break and Job Rotation Schedules of High Repetitive – Low Load Manual Tasks in Assembly Lines: an OCRA – Based Approach. IFAC Proceedings Volumes. 2013; 46 (9):1896-1901.
Chicago/Turabian StyleFrancesco Boenzi; Salvatore Digiesi; Giorgio Mossa; Giovanni Mummolo; V.A. Romano. 2013. "Optimal Break and Job Rotation Schedules of High Repetitive – Low Load Manual Tasks in Assembly Lines: an OCRA – Based Approach." IFAC Proceedings Volumes 46, no. 9: 1896-1901.