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Dr. Francesco Lolli
Department of Sciences and Methods for Engineering, University of Modena and Reggio Emilia, Via Amendola 2, Padiglione Morselli, 42122 Reggio Emilia, Italy.

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0 Management
0 Recycling
0 Electronic equipment
0 Machine learning techniques

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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.

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: 02 December 2020 in International Journal of Production Economics
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Due to the main peculiarities of spare parts, i.e. intermittent demands, long procurement lead times and high downtime costs when the parts are not available on time, it is often difficult to find the optimal inventory level. Recently, Additive Manufacturing (AM) has emerged as a promising technique to improve spare parts inventory management thanks to a ‘print on demand’ approach. So far, however, the impact of AM on spare parts inventory management has been little considered, and it is not yet clear when the use of AM for spare parts inventory management would provide benefits over Conventional Manufacturing (CM) techniques. With this paper we thus aim to contribute to the field of AM spare parts inventory management by developing decision trees that can be of support to managers and practitioners. To this aim, we considered a Poisson-based inventory management system and we carried out a parametrical analysis considering different part sizes and complexity, backorder costs and part consumption. Moreover, we evaluated scenarios where the order-up-to level is limited to resemble applications with a limited storage capacity. For the first time, the analysis was not limited to just one AM and one CM technique, but several AM and CM techniques were considered, also combined with different post-process treatments, for a total of nine different sourcing alternatives. In addition, the economic and technical performance of the different sourcing options were obtained thanks to an interdisciplinary approach, where experts from production economics and material science were brought together.

ACS Style

Fabio Sgarbossa; Mirco Peron; Francesco Lolli; Elia Balugani. Conventional or additive manufacturing for spare parts management: An extensive comparison for Poisson demand. International Journal of Production Economics 2020, 233, 107993 .

AMA Style

Fabio Sgarbossa, Mirco Peron, Francesco Lolli, Elia Balugani. Conventional or additive manufacturing for spare parts management: An extensive comparison for Poisson demand. International Journal of Production Economics. 2020; 233 ():107993.

Chicago/Turabian Style

Fabio Sgarbossa; Mirco Peron; Francesco Lolli; Elia Balugani. 2020. "Conventional or additive manufacturing for spare parts management: An extensive comparison for Poisson demand." International Journal of Production Economics 233, no. : 107993.

Journal article
Published: 25 December 2019 in IFAC-PapersOnLine
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Complexity measurement based on the Shannon information entropy is widely used to evaluate variety and uncertainty in supply chains. However, how to use a complexity measurement to support control actions is still an open issue. This article presents a method to calculate the relative complexity, i.e., the relationship between the current and the maximum possible complexity in a Supply Chain. The method relies on unexpected information requirements to mitigate uncertainty. The article studies two real-world Supply Chains of the footwear industry, one competing by cost and quality, the other by flexibility, dependability, and innovation. The second is twice as complex as the first, showing that competitive priorities influence the complexity of the system and that lower complexity does not ensure competitivity.

ACS Style

Miguel A. Sellitto; Francesco Lolli; Bianca Rimini; Elia Balugani. Complexity Measurement in Two Supply Chains with Different Competitive Priorities. IFAC-PapersOnLine 2019, 52, 1699 -1704.

AMA Style

Miguel A. Sellitto, Francesco Lolli, Bianca Rimini, Elia Balugani. Complexity Measurement in Two Supply Chains with Different Competitive Priorities. IFAC-PapersOnLine. 2019; 52 (13):1699-1704.

Chicago/Turabian Style

Miguel A. Sellitto; Francesco Lolli; Bianca Rimini; Elia Balugani. 2019. "Complexity Measurement in Two Supply Chains with Different Competitive Priorities." IFAC-PapersOnLine 52, no. 13: 1699-1704.

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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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: 06 September 2018 in IFAC-PapersOnLine
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Poisson point processes are widely used to model the consumption of spare parts. However, when the items have very low consumption rates, the historical sample sizes are too small. This paper presents a modelling technique for spare parts policies in the case of items with a low consumption rate. We propose the use of chaotic models derived from the well-known chaotic processes logistic map and Hénon attractor to assess the behaviour of a set of five medium voltage motors supplying four drives in the rolling mill of a steelmaking plant. Supported by the chaotic models, we conclude that the company needs an additional motor to ensure full protection against shortages.

ACS Style

Miguel A. Sellitto; Elia Balugani; Francesco Lolli. Spare Parts Replacement Policy Based on Chaotic Models. IFAC-PapersOnLine 2018, 51, 945 -950.

AMA Style

Miguel A. Sellitto, Elia Balugani, Francesco Lolli. Spare Parts Replacement Policy Based on Chaotic Models. IFAC-PapersOnLine. 2018; 51 (11):945-950.

Chicago/Turabian Style

Miguel A. Sellitto; Elia Balugani; Francesco Lolli. 2018. "Spare Parts Replacement Policy Based on Chaotic Models." IFAC-PapersOnLine 51, no. 11: 945-950.

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: 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.

Original articles
Published: 04 January 2016 in International Journal of Production Research
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In line with the continuous improvement theory, the learning phenomenon is often incorporated into models for predicting the evolution of the unitary quality costs. In this paper, the quality metric predicted is the rate of supplied non-conforming units through a learning process with autonomous and induced sources of experience. The former is simply learning by doing, i.e. supplying, whilst the latter is driven by the allocation of training hours to suppliers. A revised learning model with time-varying learning rates is proposed for embracing both these effects into a multistage assembly/production setting. A single-period prevention–appraisal–failure cost function is achieved, and the sample inspection rates adopted among suppliers are also considered in order to evaluate their effect. If these sample rates are given, the goal of allocating the training hours among suppliers is pursued by means of integer linear programming. Otherwise, a mixed-integer quadratic problem arises for the concurrent allocation of training hours and inspection sample rates among suppliers. A case study is finally carried out for demonstrating the applicability of the model, as well as for providing managerial insights.

ACS Style

Francesco Lolli; Rita Gamberini; Claudio Giberti; Mauro Gamberi; Marco Bortolini; Emanuele Bruini. A learning model for the allocation of training hours in a multistage setting. International Journal of Production Research 2016, 54, 5697 -5707.

AMA Style

Francesco Lolli, Rita Gamberini, Claudio Giberti, Mauro Gamberi, Marco Bortolini, Emanuele Bruini. A learning model for the allocation of training hours in a multistage setting. International Journal of Production Research. 2016; 54 (19):5697-5707.

Chicago/Turabian Style

Francesco Lolli; Rita Gamberini; Claudio Giberti; Mauro Gamberi; Marco Bortolini; Emanuele Bruini. 2016. "A learning model for the allocation of training hours in a multistage setting." International Journal of Production Research 54, no. 19: 5697-5707.

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.

Original articles
Published: 25 November 2015 in International Journal of Production Research
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In accordance with the lean production philosophy, an assembly line may be supplied by means of a kanban system, which regulates and simplifies the flow of materials between the lines and the warehouses. This paper focuses on evaluation of feeding policies that differ from each other in term of the number of kanbans managed per feeding tour. A pure cost-based approach is thus proposed, which considers both inline inventories along with handling costs proportionate to the number of operators involved in the parts-feeding process. A multi-scenario simulative approach is applied in order to establish the number of operators required to avoid inline shortages. The scenario minimising total cost is then selected. The innovation introduced is a model for describing kanban arrivals and their requests for feeding, improving the potential of the simulation to describe real-life environments. Lastly, a case study from the automotive industry is presented in order to highlight the applicability of the proposed approach as well and the effects of alternative feeding policies on the total cost incurred.

ACS Style

Francesco Lolli; Rita Gamberini; Claudio Giberti; Bianca Rimini; Federica Bondi. A simulative approach for evaluating alternative feeding scenarios in a kanban system. International Journal of Production Research 2015, 54, 4228 -4239.

AMA Style

Francesco Lolli, Rita Gamberini, Claudio Giberti, Bianca Rimini, Federica Bondi. A simulative approach for evaluating alternative feeding scenarios in a kanban system. International Journal of Production Research. 2015; 54 (14):4228-4239.

Chicago/Turabian Style

Francesco Lolli; Rita Gamberini; Claudio Giberti; Bianca Rimini; Federica Bondi. 2015. "A simulative approach for evaluating alternative feeding scenarios in a kanban system." International Journal of Production Research 54, no. 14: 4228-4239.

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.

Conference paper
Published: 01 January 2013 in IFAC Proceedings Volumes
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ACS Style

Rita Gamberini; Matteo Meli; Luca Galloni; Bianca Rimini; Francesco Lolli. Alternative refilling policies for an assembly line managed by kanbans. IFAC Proceedings Volumes 2013, 46, 1914 -1919.

AMA Style

Rita Gamberini, Matteo Meli, Luca Galloni, Bianca Rimini, Francesco Lolli. Alternative refilling policies for an assembly line managed by kanbans. IFAC Proceedings Volumes. 2013; 46 (9):1914-1919.

Chicago/Turabian Style

Rita Gamberini; Matteo Meli; Luca Galloni; Bianca Rimini; Francesco Lolli. 2013. "Alternative refilling policies for an assembly line managed by kanbans." IFAC Proceedings Volumes 46, no. 9: 1914-1919.

Conference paper
Published: 01 May 2012 in IFAC Proceedings Volumes
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ACS Style

Rita Gamberini; Elena Bicchierini; Francesco Lolli; Bianca Rimini; Alberto Regattieri; Luca Galloni. RE-DESIGNING MANUFACTURING AREAS DEDICATED TO HEAVY AND VOLUMINOUS PRODUCTS. IFAC Proceedings Volumes 2012, 45, 399 -406.

AMA Style

Rita Gamberini, Elena Bicchierini, Francesco Lolli, Bianca Rimini, Alberto Regattieri, Luca Galloni. RE-DESIGNING MANUFACTURING AREAS DEDICATED TO HEAVY AND VOLUMINOUS PRODUCTS. IFAC Proceedings Volumes. 2012; 45 (6):399-406.

Chicago/Turabian Style

Rita Gamberini; Elena Bicchierini; Francesco Lolli; Bianca Rimini; Alberto Regattieri; Luca Galloni. 2012. "RE-DESIGNING MANUFACTURING AREAS DEDICATED TO HEAVY AND VOLUMINOUS PRODUCTS." IFAC Proceedings Volumes 45, no. 6: 399-406.