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Prof. Rita Gamberini
Department of Sciences and Methods for Engineering, University of Modena and Reggio Emilia

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0 sustainability assessment
0 Manufacturing & Process Optimisation
0 maintenance and operation
0 Logistics and supply chain management
0 Safety and Efficiency

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Journal article
Published: 13 April 2021 in Expert Systems with Applications
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Life Cycle Assessment quantifies the multi-dimensional impact of goods and services and can be handled by Multi-Criteria Decision Analysis. In Multi-Criteria Decision Analysis, Robust Ordinal Regression manages all the compatible preference functions at once when assessing a set of alternatives and a group of preferences on reference alternatives. Robust Ordinal Regression is thus a versatile method of reducing the cognitive effort required by decision makers for eliciting their preference structures in Life Cycle Assessment, although it does not directly operate on noisy alternatives and requires Stochastic Multicriteria Acceptability Analysis to deal with such scenarios. We propose integrating a dimensionality reduction technique, Principal Component Analysis, and Robust Ordinal Regression methods, to reduce the problem dimensionality and ensure the actual problem features are considered. A generated dataset, a dataset from literature and a Life Cycle Assessment case study are used to test the effectiveness of the proposed methods.

ACS Style

Elia Balugani; Francesco Lolli; Martina Pini; Anna Maria Ferrari; Paolo Neri; Rita Gamberini; Bianca Rimini. Dimensionality reduced robust ordinal regression applied to life cycle assessment. Expert Systems with Applications 2021, 178, 115021 .

AMA Style

Elia Balugani, Francesco Lolli, Martina Pini, Anna Maria Ferrari, Paolo Neri, Rita Gamberini, Bianca Rimini. Dimensionality reduced robust ordinal regression applied to life cycle assessment. Expert Systems with Applications. 2021; 178 ():115021.

Chicago/Turabian Style

Elia Balugani; Francesco Lolli; Martina Pini; Anna Maria Ferrari; Paolo Neri; Rita Gamberini; Bianca Rimini. 2021. "Dimensionality reduced robust ordinal regression applied to life cycle assessment." Expert Systems with Applications 178, no. : 115021.

Review
Published: 18 January 2021 in Toxics
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The global demand for electrical and electronic equipment has undergone continuous growth in recent years due to the effect of industrialization and technological development. This indicates substantial quantities of e-waste that need to be managed properly to reduce their environmental impact and to avoid inappropriate forms of disposal. The purpose of this paper is to review the most popular multi-criteria decision-making approaches applied to the management of waste electrical and electronic equipment, analyzing how they are used to contribute to the improvement of management strategies along the entire supply chain. For this purpose, a methodological protocol for the collection, selection, and analysis of the scientific literature was applied, identifying 44 papers on which to conduct this study. The results showed that numerous authors have developed multi-criteria approaches, with particular attention to recycling phase. The analytic hierarchy process is the most widespread multi-criteria approach, often coupled with VIKOR, DELPHI, and TOPSIS methods. The numerous decision making criteria adopted cover different reference dimensions: environmental, economic, social, technical, and legal. Considering environmental aspects also in decision making processes means enhancing the relevance of this dimension, as well as encouraging practices that reduce the impact of toxic substances on the environment and living organisms.

ACS Style

Samuele Marinello; Rita Gamberini. Multi-Criteria Decision Making Approaches Applied to Waste Electrical and Electronic Equipment (WEEE): A Comprehensive Literature Review. Toxics 2021, 9, 13 .

AMA Style

Samuele Marinello, Rita Gamberini. Multi-Criteria Decision Making Approaches Applied to Waste Electrical and Electronic Equipment (WEEE): A Comprehensive Literature Review. Toxics. 2021; 9 (1):13.

Chicago/Turabian Style

Samuele Marinello; Rita Gamberini. 2021. "Multi-Criteria Decision Making Approaches Applied to Waste Electrical and Electronic Equipment (WEEE): A Comprehensive Literature Review." Toxics 9, no. 1: 13.

Journal article
Published: 24 December 2020 in Sustainability
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The COVID-19 health emergency has imposed the need to limit and/or stop non-essential economic and commercial activities and movement of people. The objective of this work is to report an assessment of the change in vehicle flows and in air quality of a specific study area in the north of Italy, comparing the periods February–May 2020 and February–May 2019. Circulating vehicles have been measured at nine characteristic points of the local road network of the city of Reggio Emilia (Italy), while atmospheric pollutant concentrations have been analysed using data extracted from the regional air quality monitoring network. The results highlight a rapid decline in the number of vehicles circulating in 2020 (with values of up to −82%). This has contributed to a reduction in air concentrations of pollutants, in particular for NO2 and CO (over 30% and over 22%, respectively). On the other hand, O3 has increased (by about +13%), but this is expected. Finally, the particulate matter grew (about 30%), with a behaviour similar to the whole regional territory. The empirical findings of this study provide some indications and useful information to assist in understanding the effects of traffic blocking in urban areas on air quality.

ACS Style

Samuele Marinello; Francesco Lolli; Rita Gamberini. The Impact of the COVID-19 Emergency on Local Vehicular Traffic and Its Consequences for the Environment: The Case of the City of Reggio Emilia (Italy). Sustainability 2020, 13, 118 .

AMA Style

Samuele Marinello, Francesco Lolli, Rita Gamberini. The Impact of the COVID-19 Emergency on Local Vehicular Traffic and Its Consequences for the Environment: The Case of the City of Reggio Emilia (Italy). Sustainability. 2020; 13 (1):118.

Chicago/Turabian Style

Samuele Marinello; Francesco Lolli; Rita Gamberini. 2020. "The Impact of the COVID-19 Emergency on Local Vehicular Traffic and Its Consequences for the Environment: The Case of the City of Reggio Emilia (Italy)." Sustainability 13, no. 1: 118.

Journal article
Published: 08 November 2020 in Toxics
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Plastic materials account for about 20% of waste electrical and electronic equipment (WEEE). The recycling of this plastic fraction is a complex issue, heavily conditioned by the content of harmful additives, such as brominated flame retardants. Thus, the management and reprocessing of WEEE plastics pose environmental and human health concerns, mainly in developing countries, where informal recycling and disposal are practiced. The objective of this study was twofold. Firstly, it aimed to investigate some of the available options described in the literature for the re-use of WEEE plastic scraps in construction materials, a promising recycling route in the developing countries. Moreover, it presents an evaluation of the impact of these available end-of-life scenarios on the environment by means of the life cycle assessment (LCA) approach. In order to consider worker health and human and ecological risks, the LCA analysis focuses on ecotoxicity more than on climate change. The LCA evaluation confirmed that the plastic re-use in the construction sector has a lower toxicity impact on the environment and human health than common landfilling and incineration practices. It also shows that the unregulated handling and dismantling activities, as well as the re-use practices, contribute significantly to the impact of WEEE plastic treatments.

ACS Style

Maria Angela Butturi; Simona Marinelli; Rita Gamberini; Bianca Rimini. Ecotoxicity of Plastics from Informal Waste Electric and Electronic Treatment and Recycling. Toxics 2020, 8, 99 .

AMA Style

Maria Angela Butturi, Simona Marinelli, Rita Gamberini, Bianca Rimini. Ecotoxicity of Plastics from Informal Waste Electric and Electronic Treatment and Recycling. Toxics. 2020; 8 (4):99.

Chicago/Turabian Style

Maria Angela Butturi; Simona Marinelli; Rita Gamberini; Bianca Rimini. 2020. "Ecotoxicity of Plastics from Informal Waste Electric and Electronic Treatment and Recycling." Toxics 8, no. 4: 99.

Journal article
Published: 14 February 2019 in Computers & Industrial Engineering
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The training of suppliers and inbound quality inspectors is a common strategy to increase the quality performance of the supply chain but, under budget constraints, these actors compete for a limited amount of training hours. The proposed model aims to allocate the available training hours so as to minimise a total quality cost function composed of prevention, appraisal, and failure costs; it also sets the inspection rates defining the inspection policies assigned to suppliers. The relationship between decision variables and costs is expressed through organisational and individual learning-forgetting curves, for suppliers and quality inspectors respectively, and the effect of the training hours on quality improvement is measured in terms of failure rates. To the best of our knowledge, a total quality cost model with such decision variables is new in the related literature, as it is a model including both organisational and individual learning-forgetting phenomena. A nonlinear optimisation approach was adopted to solve this complex problem. The experimental section includes a decision trees analysis of simplified scenarios in order to interpret the model functioning, as well as a complex numerical example to extrapolate managerial insights.

ACS Style

Francesco Lolli; Elia Balugani; Rita Gamberini; Bianca Rimini. Quality cost-based allocation of training hours using learning-forgetting curves. Computers & Industrial Engineering 2019, 131, 552 -564.

AMA Style

Francesco Lolli, Elia Balugani, Rita Gamberini, Bianca Rimini. Quality cost-based allocation of training hours using learning-forgetting curves. Computers & Industrial Engineering. 2019; 131 ():552-564.

Chicago/Turabian Style

Francesco Lolli; Elia Balugani; Rita Gamberini; Bianca Rimini. 2019. "Quality cost-based allocation of training hours using learning-forgetting curves." Computers & Industrial Engineering 131, no. : 552-564.

Journal article
Published: 24 November 2018 in Expert Systems with Applications
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Today, almost everybody has a smartphone and applications have been developed to help users to take decisions (e.g. which hotel to choose, which museum to visit, etc). In order to improve the recommendations of the mobile application, it is crucial to elicit the preference structures of the user. As problems are often based on several criteria, multicriteria decision aiding methods are most adequate in these cases, and past works have proposed indirect eliciting approaches for multicriteria decision aiding methods. However, they often do not aim of reducing as much as possible the cognitive efforts required by the user. This is prerequisite of mobile applications as they are used by everybody. In this work, the weights to assign to the evaluation criteria in a PROMETHEE-based ranking approach are unknown, and therefore must be elicited indirectly either from a partial ranking provided by the user or from the selection of his/her most preferred alternative into a subset of reference alternatives. In the latter case, the cognitive effort required by the decision-maker is minimal. Starting from a linear optimisation model aimed at searching for the most discriminating vector of weights, three quadratic variants are proposed subsequently to overcome the issues arising from the linear model. An iterative quadratic optimisation model is proposed to fit the real setting in which the application should operate, where the eliciting procedure must be launched iteratively and converge over time to the vector of weights, which are the weights that the user implicitly assigns to the evaluation criteria. Finally, three experiments are performed to confirm the effectiveness and the differences between the proposed models.

ACS Style

Francesco Lolli; Elia Balugani; Alessio Ishizaka; Rita Gamberini; Maria Angela Butturi; Samuele Marinello; Bianca Rimini. On the elicitation of criteria weights in PROMETHEE-based ranking methods for a mobile application. Expert Systems with Applications 2018, 120, 217 -227.

AMA Style

Francesco Lolli, Elia Balugani, Alessio Ishizaka, Rita Gamberini, Maria Angela Butturi, Samuele Marinello, Bianca Rimini. On the elicitation of criteria weights in PROMETHEE-based ranking methods for a mobile application. Expert Systems with Applications. 2018; 120 ():217-227.

Chicago/Turabian Style

Francesco Lolli; Elia Balugani; Alessio Ishizaka; Rita Gamberini; Maria Angela Butturi; Samuele Marinello; Bianca Rimini. 2018. "On the elicitation of criteria weights in PROMETHEE-based ranking methods for a mobile application." Expert Systems with Applications 120, no. : 217-227.

Journal article
Published: 06 September 2018 in IFAC-PapersOnLine
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A case study on continuous process control based on fuzzy logic and supported by expert knowledge is proposed. The aim is to control the coal-grinding operations in a cement manufacturing plant. Fuzzy logic is based on linguistic variables that emulate human judgment and can solve complex modeling problems subject to uncertainty or incomplete information. Fuzzy controllers can handle control problems when an accurate model of the process is unavailable, ill-defined, or subject to excessive parameter variations. The system implementation resulted in productivity gains and energy consumption reductions of 3% and 5% respectively, in line with the literature related to similar applications.

ACS Style

Miguel A. Sellitto; Elia Balugani; Rita Gamberini; Bianca Rimini. A Fuzzy Logic Control application to the Cement Industry. IFAC-PapersOnLine 2018, 51, 1542 -1547.

AMA Style

Miguel A. Sellitto, Elia Balugani, Rita Gamberini, Bianca Rimini. A Fuzzy Logic Control application to the Cement Industry. IFAC-PapersOnLine. 2018; 51 (11):1542-1547.

Chicago/Turabian Style

Miguel A. Sellitto; Elia Balugani; Rita Gamberini; Bianca Rimini. 2018. "A Fuzzy Logic Control application to the Cement Industry." IFAC-PapersOnLine 51, no. 11: 1542-1547.

Journal article
Published: 06 September 2018 in IFAC-PapersOnLine
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The Assembly Line Balancing Problem (ALBP) represents one of the most explored research topics in manufacturing. However, only a few contributions have investigated the effect of the combined abilities of humans and machines in order to reach a balancing solution. It is well-recognized that human beings learn to perform assembly tasks over time, with the effect of reducing the time needed for unitary tasks. This implies a need to re-balance assembly lines periodically, in accordance with the increased level of human experience. However, given an assembly task that is partially performed by automatic equipment, it could be argued that some subtasks are not subject to learning effects. Breaking up assembly tasks into human and automatic subtasks represents the first step towards more sophisticated approaches for ALBP. In this paper, a learning curve is introduced that captures this disaggregation, which is then applied to a stochastic ALBP. Finally, a numerical example is proposed to show how this learning curve affects balancing solutions.

ACS Style

F. Lolli; E. Balugani; R. Gamberini; B. Rimini; V. Rossi. A human-machine learning curve for stochastic assembly line balancing problems. IFAC-PapersOnLine 2018, 51, 1186 -1191.

AMA Style

F. Lolli, E. Balugani, R. Gamberini, B. Rimini, V. Rossi. A human-machine learning curve for stochastic assembly line balancing problems. IFAC-PapersOnLine. 2018; 51 (11):1186-1191.

Chicago/Turabian Style

F. Lolli; E. Balugani; R. Gamberini; B. Rimini; V. Rossi. 2018. "A human-machine learning curve for stochastic assembly line balancing problems." IFAC-PapersOnLine 51, no. 11: 1186-1191.

Journal article
Published: 06 September 2018 in IFAC-PapersOnLine
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The problem of studying a plant layout is frequently tackled in literature. Nevertheless, approaches specifically dedicated to predefined market fields are rare. Usually, methodologies available for a wide variety of companies are studied and adopted, disregarding those details typical of each economical sector. On the contrary, in this paper, customized guidelines for the design of a plant layout of a foundry are proposed, in order to support such a critical productive environment where automated equipment, characteristic of Industry 4.0, are integrated with manual activities. Specifically, the casting area is studied. The long term design is supported by a medium term analysis, focused on the products turnover into the casting moulds. The application to a real life case study is finally described in order to assess the performance of the proposed approach.

ACS Style

R. Gamberini; T. Ruggerini; F. Lolli. THE PLANT LAYOUT OF A FOUNDRY: CONSTRAINTS, OPERATIVE GUIDELINES AND A CASE STUDY. IFAC-PapersOnLine 2018, 51, 1180 -1185.

AMA Style

R. Gamberini, T. Ruggerini, F. Lolli. THE PLANT LAYOUT OF A FOUNDRY: CONSTRAINTS, OPERATIVE GUIDELINES AND A CASE STUDY. IFAC-PapersOnLine. 2018; 51 (11):1180-1185.

Chicago/Turabian Style

R. Gamberini; T. Ruggerini; F. Lolli. 2018. "THE PLANT LAYOUT OF A FOUNDRY: CONSTRAINTS, OPERATIVE GUIDELINES AND A CASE STUDY." IFAC-PapersOnLine 51, no. 11: 1180-1185.

Journal article
Published: 06 September 2018 in IFAC-PapersOnLine
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Inventory control is one of the main activities in industrial plant management. Both process owners and line workers interact daily with stocks of components and finite products, and an effective management of these inventory levels is a key factor in an efficient manufacturing process. In this paper the algorithms k-means and Ward’s method are used to cluster items into homogenous groups to be managed with uniform inventory control policies. This unsupervised step reduces the need for computationally expensive inventory system control simulations. The performance of this methodology was found to be significant but was strongly impacted by the intermediate feature transformation processes.

ACS Style

E. Balugani; F. Lolli; R. Gamberini; B. Rimini; A. Regattieri. Clustering for inventory control systems. IFAC-PapersOnLine 2018, 51, 1174 -1179.

AMA Style

E. Balugani, F. Lolli, R. Gamberini, B. Rimini, A. Regattieri. Clustering for inventory control systems. IFAC-PapersOnLine. 2018; 51 (11):1174-1179.

Chicago/Turabian Style

E. Balugani; F. Lolli; R. Gamberini; B. Rimini; A. Regattieri. 2018. "Clustering for inventory control systems." IFAC-PapersOnLine 51, no. 11: 1174-1179.

Journal article
Published: 01 July 2018 in Polymer Degradation and Stability
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ACS Style

Martina Fabbri; Giulia Guidotti; Michelina Soccio; Nadia Lotti; Marco Govoni; Emanuele Giordano; Massimo Gazzano; Rita Gamberini; Bianca Rimini; Andrea Munari. Novel biocompatible PBS-based random copolymers containing PEG-like sequences for biomedical applications: From drug delivery to tissue engineering. Polymer Degradation and Stability 2018, 153, 53 -62.

AMA Style

Martina Fabbri, Giulia Guidotti, Michelina Soccio, Nadia Lotti, Marco Govoni, Emanuele Giordano, Massimo Gazzano, Rita Gamberini, Bianca Rimini, Andrea Munari. Novel biocompatible PBS-based random copolymers containing PEG-like sequences for biomedical applications: From drug delivery to tissue engineering. Polymer Degradation and Stability. 2018; 153 ():53-62.

Chicago/Turabian Style

Martina Fabbri; Giulia Guidotti; Michelina Soccio; Nadia Lotti; Marco Govoni; Emanuele Giordano; Massimo Gazzano; Rita Gamberini; Bianca Rimini; Andrea Munari. 2018. "Novel biocompatible PBS-based random copolymers containing PEG-like sequences for biomedical applications: From drug delivery to tissue engineering." Polymer Degradation and Stability 153, no. : 53-62.

Journal article
Published: 01 May 2018 in International Journal of Production Economics
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Multi-criteria inventory classification groups similar items in order to facilitate their management. Data envelopment analysis (DEA) and its many variants have been used extensively for this purpose. However, DEA provides only a ranking and classes are often constructed arbitrarily with percentages. This paper introduces DEASort, a variant of DEA aimed at sorting problems. In order to avoid unrealistic classification, the expertise of decision-makers is incorporated, providing typical examples of items for each class and giving the weights of the criteria with the Analytic Hierarchy Process (AHP). This information bounds the possible weights and is added as a constraint in the model. DEASort is illustrated using a real case study of a company managing warehouses that stock spare parts.

ACS Style

Alessio Ishizaka; Francesco Lolli; Elia Balugani; Rita Cavallieri; Rita Gamberini. DEASort: Assigning items with data envelopment analysis in ABC classes. International Journal of Production Economics 2018, 199, 7 -15.

AMA Style

Alessio Ishizaka, Francesco Lolli, Elia Balugani, Rita Cavallieri, Rita Gamberini. DEASort: Assigning items with data envelopment analysis in ABC classes. International Journal of Production Economics. 2018; 199 ():7-15.

Chicago/Turabian Style

Alessio Ishizaka; Francesco Lolli; Elia Balugani; Rita Cavallieri; Rita Gamberini. 2018. "DEASort: Assigning items with data envelopment analysis in ABC classes." International Journal of Production Economics 199, no. : 7-15.

Journal article
Published: 01 January 2018 in International Journal of Industrial and Systems Engineering
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ACS Style

Marco Bortolini; Rita Gamberini; Mauro Gamberi; Francesco Lolli. The training of suppliers: a linear model for optimising the allocation of available hours. International Journal of Industrial and Systems Engineering 2018, 28, 135 .

AMA Style

Marco Bortolini, Rita Gamberini, Mauro Gamberi, Francesco Lolli. The training of suppliers: a linear model for optimising the allocation of available hours. International Journal of Industrial and Systems Engineering. 2018; 28 (2):135.

Chicago/Turabian Style

Marco Bortolini; Rita Gamberini; Mauro Gamberi; Francesco Lolli. 2018. "The training of suppliers: a linear model for optimising the allocation of available hours." International Journal of Industrial and Systems Engineering 28, no. 2: 135.

Journal article
Published: 01 January 2018 in International Journal of Industrial and Systems Engineering
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The cost of quality represents a relevant item in total manufacturing costs. The learning process is incorporated into contemporary models because of its impact on unitary production costs through both autonomous (learning by doing) and induced (learning by means of proactive actions) learning processes. A learning model with time-varying learning rate is proposed in order to establish the relationship between quality improvements and training hours to allocate to suppliers. The performance indicator adopted is the rate of non-conforming units, rather than the more traditional process variance. This enables definition of a novel total cost function, which can be minimised for the best allocation of training hours to suppliers during a single learning cycle. A novel criterion also emerges for the evaluation of suppliers in terms of investment opportunity. Finally, a case study was carried out in order to verify the applicability of this model to real industrial settings.

ACS Style

Francesco Lolli; Rita Gamberini; Mauro Gamberi; Marco Bortolini. The training of suppliers: a linear model for optimising the allocation of available hours. International Journal of Industrial and Systems Engineering 2018, 28, 135 .

AMA Style

Francesco Lolli, Rita Gamberini, Mauro Gamberi, Marco Bortolini. The training of suppliers: a linear model for optimising the allocation of available hours. International Journal of Industrial and Systems Engineering. 2018; 28 (2):135.

Chicago/Turabian Style

Francesco Lolli; Rita Gamberini; Mauro Gamberi; Marco Bortolini. 2018. "The training of suppliers: a linear model for optimising the allocation of available hours." International Journal of Industrial and Systems Engineering 28, no. 2: 135.

Journal article
Published: 01 October 2017 in Journal of Cleaner Production
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ACS Style

Francesco Lolli; Alessio Ishizaka; Rita Gamberini; Bianca Rimini; Elia Balugani; Laura Prandini. Requalifying public buildings and utilities using a group decision support system. Journal of Cleaner Production 2017, 164, 1081 -1092.

AMA Style

Francesco Lolli, Alessio Ishizaka, Rita Gamberini, Bianca Rimini, Elia Balugani, Laura Prandini. Requalifying public buildings and utilities using a group decision support system. Journal of Cleaner Production. 2017; 164 ():1081-1092.

Chicago/Turabian Style

Francesco Lolli; Alessio Ishizaka; Rita Gamberini; Bianca Rimini; Elia Balugani; Laura Prandini. 2017. "Requalifying public buildings and utilities using a group decision support system." Journal of Cleaner Production 164, no. : 1081-1092.

Journal article
Published: 01 September 2017 in European Polymer Journal
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ACS Style

Martina Fabbri; Luis García-Fernández; Blanca Vázquez; Michelina Soccio; Nadia Lotti; Rita Gamberini; Bianca Rimini; Andrea Munari; Julio San Román. Micro-structured 3D-electrospun scaffolds of biodegradable block copolymers for soft tissue regeneration. European Polymer Journal 2017, 94, 33 -42.

AMA Style

Martina Fabbri, Luis García-Fernández, Blanca Vázquez, Michelina Soccio, Nadia Lotti, Rita Gamberini, Bianca Rimini, Andrea Munari, Julio San Román. Micro-structured 3D-electrospun scaffolds of biodegradable block copolymers for soft tissue regeneration. European Polymer Journal. 2017; 94 ():33-42.

Chicago/Turabian Style

Martina Fabbri; Luis García-Fernández; Blanca Vázquez; Michelina Soccio; Nadia Lotti; Rita Gamberini; Bianca Rimini; Andrea Munari; Julio San Román. 2017. "Micro-structured 3D-electrospun scaffolds of biodegradable block copolymers for soft tissue regeneration." European Polymer Journal 94, no. : 33-42.

Journal article
Published: 01 January 2016 in IFAC-PapersOnLine
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Defining a dynamic model for calculating production cost is a challenging goal that requires a good fitting ability with real data over time. A novel cost curve is proposed here with the aim of incorporating both the learning and the forgetting phenomenon during both the production phases and the reworking operations. A single-product cost model is thus obtained, and a procedure for fitting the curve with real data is also introduced. Finally, this proposal is validated on a benchmark dataset in terms of mean square error

ACS Style

Francesco Lolli; Michael Messori; Rita Gamberini; Bianca Rimini; Elia Balugani. Modelling production cost with the effects of learning and forgetting. IFAC-PapersOnLine 2016, 49, 503 -508.

AMA Style

Francesco Lolli, Michael Messori, Rita Gamberini, Bianca Rimini, Elia Balugani. Modelling production cost with the effects of learning and forgetting. IFAC-PapersOnLine. 2016; 49 (12):503-508.

Chicago/Turabian Style

Francesco Lolli; Michael Messori; Rita Gamberini; Bianca Rimini; Elia Balugani. 2016. "Modelling production cost with the effects of learning and forgetting." IFAC-PapersOnLine 49, no. 12: 503-508.

Journal article
Published: 01 November 2015 in Polymer Degradation and Stability
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In this contribution, a poly(butylene succinate)-based copolymer containing thioether linkages (P(BS85BTDG15)) has been synthesized and characterized from the molecular, thermal and mechanical point of view. The results have been compared to the parent homopolymer. Films obtained both by PBS and P(BS85BTDG15) have been subjected to surface modification by means of non-thermal plasma surface treatment and the effect on physic/mechanical properties has been considered. Hydrolytic degradation rate under physiological conditions and in vitro biocompatibility of treated and non-treated polymeric films have been also investigated.The introduction of thioether linkages and the plasma etching enhanced the polymer surface wettability, thus resulting in an increased hydrolytic degradation rate. On the other hand, bulk properties were not significantly affected.Biocompatibility assays highlighted the absence of potentially cytotoxic products into the culture medium and proved that the investigated polymeric films can support cell adhesion and proliferation.

ACS Style

Martina Fabbri; Matteo Gigli; Michela Costa; Marco Govoni; Paolo Seri; Nadia Lotti; Emanuele Giordano; Andrea Munari; Rita Gamberini; Bianca Rimini; Gabriele Neretti; Andrea Cristofolini; Carlo A. Borghi. The effect of plasma surface modification on the biodegradation rate and biocompatibility of a poly(butylene succinate)-based copolymer. Polymer Degradation and Stability 2015, 121, 271 -279.

AMA Style

Martina Fabbri, Matteo Gigli, Michela Costa, Marco Govoni, Paolo Seri, Nadia Lotti, Emanuele Giordano, Andrea Munari, Rita Gamberini, Bianca Rimini, Gabriele Neretti, Andrea Cristofolini, Carlo A. Borghi. The effect of plasma surface modification on the biodegradation rate and biocompatibility of a poly(butylene succinate)-based copolymer. Polymer Degradation and Stability. 2015; 121 ():271-279.

Chicago/Turabian Style

Martina Fabbri; Matteo Gigli; Michela Costa; Marco Govoni; Paolo Seri; Nadia Lotti; Emanuele Giordano; Andrea Munari; Rita Gamberini; Bianca Rimini; Gabriele Neretti; Andrea Cristofolini; Carlo A. Borghi. 2015. "The effect of plasma surface modification on the biodegradation rate and biocompatibility of a poly(butylene succinate)-based copolymer." Polymer Degradation and Stability 121, no. : 271-279.

Journal article
Published: 01 July 2015 in International Journal of Refrigeration
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ACS Style

Marco Bortolini; Mauro Gamberi; Rita Gamberini; Alessandro Graziani; Francesco Lolli; Alberto Regattieri. Retrofitting of R404a commercial refrigeration systems using R410a and R407f refrigerants. International Journal of Refrigeration 2015, 55, 142 -152.

AMA Style

Marco Bortolini, Mauro Gamberi, Rita Gamberini, Alessandro Graziani, Francesco Lolli, Alberto Regattieri. Retrofitting of R404a commercial refrigeration systems using R410a and R407f refrigerants. International Journal of Refrigeration. 2015; 55 ():142-152.

Chicago/Turabian Style

Marco Bortolini; Mauro Gamberi; Rita Gamberini; Alessandro Graziani; Francesco Lolli; Alberto Regattieri. 2015. "Retrofitting of R404a commercial refrigeration systems using R410a and R407f refrigerants." International Journal of Refrigeration 55, no. : 142-152.

Conference paper
Published: 01 January 2014 in IFAC Proceedings Volumes
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In this paper the problem of allocating and scheduling jobs on parallel unrelated machines is studied. Jobs are grouped in families of similar items. A sequence dependent setup is required between batches of jobs belonging to the same and different families, even if in the first case lower time is required. The size of batches is not known a-priori, hence the problem is divided in two different sub problems: a) the allocation of volumes of work on each machine and b) subsequently the scheduling of each item. The focus of the paper is on the first step and consequently on the pre-assignment problem. Three different solving approaches are implemented in several real-life case studies.

ACS Style

R. Gamberini; E. Castagnetti; F. Lolli; B. Rimini. Jobs Pre-Allocation on Parallel Unrelated Machines with Sequence Dependent Setup Times: Evidence from a Large Experimentation. IFAC Proceedings Volumes 2014, 47, 4364 -4369.

AMA Style

R. Gamberini, E. Castagnetti, F. Lolli, B. Rimini. Jobs Pre-Allocation on Parallel Unrelated Machines with Sequence Dependent Setup Times: Evidence from a Large Experimentation. IFAC Proceedings Volumes. 2014; 47 (3):4364-4369.

Chicago/Turabian Style

R. Gamberini; E. Castagnetti; F. Lolli; B. Rimini. 2014. "Jobs Pre-Allocation on Parallel Unrelated Machines with Sequence Dependent Setup Times: Evidence from a Large Experimentation." IFAC Proceedings Volumes 47, no. 3: 4364-4369.