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ANTONIO MARIA CORUZZOLO

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Dipartimento di Scienze e Metodi dell'Ingegneria
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Dipartimento di Scienze e Metodi dell'Ingegneria

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Pubblicazioni

2023 - A PERT model based on the Dampster and Shafer's theory of evidence – application to product development [Articolo su rivista]
Lolli, Francesco; Coruzzolo, Antonio Maria; Zironi, Matteo
abstract

2023 - Ergonomic Risk Reduction: A Height-Adjustable Mesh Truck for Picking Activities Evaluated With A Depth Camera [Abstract in Atti di Convegno]
Lolli, Francesco; Maria Coruzzolo, Antonio; Forgione, Chiara; Gonçalves Terra Neto, Platao
abstract

2023 - Exposure to Air Pollution in Transport Microenvironments [Articolo su rivista]
Marinello, S.; Lolli, F.; Coruzzolo, A. M.; Gamberini, R.
abstract

People spend approximately 90% of their day in confined spaces (at home, work, school or in transit). During these periods, exposure to high concentrations of atmospheric pollutants can pose serious health risks, particularly to the respiratory system. The objective of this paper is to define a framework of the existing literature on the assessment of air quality in various transport microenvironments. A total of 297 papers, published from 2002 to 2021, were analyzed with respect to the type of transport microenvironments, the pollutants monitored, the concentrations measured and the sampling methods adopted. The analysis emphasizes the increasing interest in this topic, particularly regarding the evaluation of exposure in moving cars and buses. It specifically focuses on the exposure of occupants to atmospheric particulate matter (PM) and total volatile organic compounds (TVOCs). Concentrations of these pollutants can reach several hundreds of µg/m3 in some cases, significantly exceeding the recommended levels. The findings presented in this paper serve as a valuable resource for urban planners and decision-makers in formulating effective urban policies.

2023 - Indoor Environmental Quality (IEQ): A Comparison between TOPSIS- and PROMETHEE-Based Approaches for Indirect Eliciting of Category Weights [Articolo su rivista]
Lolli, F.; Coruzzolo, A. M.; Balugani, E.
abstract

Indoor Environmental Quality (IEQ) has received a great deal of attention in recent years due to the relationship between worker comfort and productivity. Many academics have studied IEQ from both a building design and an IEQ assessment perspective. This latter line of research has mostly used direct eliciting to obtain weights assigned to IEQ categories such as thermal comfort, visual comfort, acoustic comfort, and indoor air quality. We found only one application of indirect eliciting in the literature. Such indirect eliciting operates without the need for imprecise direct weighing and requires only comfort evaluations, which is in line with the Industry 5.0 paradigm of individual, dynamic, and integrated IEQ evaluation. In this paper, we use a case study to compare the only indirect eliciting model already applied to IEQ, based on TOPSIS, to an indirect eliciting method based on PROMETHEE and to a classical direct eliciting method (AHP). The results demonstrate the superiority of indirect eliciting in reconstructing individual preferences related to perceived global comfort.

2023 - Optimization of the logistic “fill rate” key performance indicator through the application of the DMAIC approach [Relazione in Atti di Convegno]
Marinello, Samuele; Zhao, Qian; Coruzzolo, ANTONIO MARIA; Balugani, Elia; Gamberini, Rita; Lolli, Francesco
abstract

Measuring and monitoring the performances of supply chains over time is a primary interest factor for companies. In this way, it is possible to determine the effectiveness and efficiency of strategies for being competitive in global markets, verify the achievement of the predetermined targets, and establish intervention and improvement measures. In this context, key performance indicators (KPIs) are widely used to measure the numerous activities performed across a supply chain. Numerous KPIs are available in the literature, and they are often customized by each user to make them more suitable for their reference context. This paper analyzes the logistic “fill rate” KPI that characterizes the shipping phase of goods by evaluating the fill rate of the transport unit used. A case study analyzes the fill rate indicator used by a multinational corporation that produces and markets food packaging. Through the DMAIC (Define, Measure, Analyze, Improve, and Control) approach, the criticalities of the current formulation of the index are highlighted, and a new model for calculating the index is proposed and applied experimentally at a plant in northern Italy.

2023 - Order Picking Problem: A Model for the Joint Optimisation of Order Batching, Batch Assignment Sequencing, and Picking Routing [Articolo su rivista]
Coruzzolo, A. M.; Lolli, F.; Balugani, E.; Magnani, E.; Sellitto, M. A.
abstract

Background: Order picking is a critical activity in end-product warehouses, particularly using the picker-to-part system, entail substantial manual labor, representing approximately 60% of warehouse work. Methods: This study develops a new linear model to perform batching, which allows for defining, assigning, and sequencing batches and determining the best routing strategy. Its goal is to minimise the completion time and the weighted sum of tardiness and earliness of orders. We developed a second linear model without the constraints related to the picking routing to reduce complexity. This model searches for the best routing using the closest neighbour approach. As both models were too complex to test, the earliest due date constructive heuristic algorithm was developed. To improve the solution, we implemented various algorithms, from multi-start with random ordering to more complex like iterated local search. Results: The proposed models were tested on a real case study where the picking time was reduced by 57% compared to single-order strategy. Conclusions: The results showed that the iterated local search multiple perturbation algorithms could successfully identify the minimum solution and significantly improve the solution initially obtained with the heuristic earliest due date algorithm.

2023 - Waste Plastic and Rubber in Concrete and Cement Mortar: A Tertiary Literature Review [Articolo su rivista]
Marinelli, S.; Marinello, S.; Lolli, F.; Gamberini, R.; Coruzzolo, A. M.
abstract

In recent years, the addition of plastic and rubber waste to construction materials has been widely studied by the research community. This great interest can mainly be attributed to the achievable potential environmental and economic benefits, mainly deriving from the reduction of incinerated or landfilled wastes and the decrease of used raw materials. Several reviews have been published on the addition of polymeric waste materials in concrete and cement mortar mixtures, discussing properties, environmental and cost implications. However, there are not available studies that organize and analyses the knowledge presented in this review. For the scope, in this paper we present a tertiary study of previous relevant review articles from peer-reviewed journals, with the aim to provide an overview of the state of the evidence related to this topic and to highlight the main critical aspects and open issues. The overview provides conclusions drawn from the 33 included reviews finding different open issues on the theme regarding environmental performance, cost savings and impacts on the supply chain as well as long term health problem related to the use of waste plastic and rubber in concrete and cement mortar. For each open issue further research proposals are also suggested.

2022 - A Bibliographic Analysis of Indoor Air Quality (IAQ) in Industrial Environments [Articolo su rivista]
Lolli, F.; Coruzzolo, A. M.; Marinello, S.; Traini, A.; Gamberini, R.
abstract

2022 - A Decision Support System for the Selection of Insulating Material in Energy Retrofit of Industrial Buildings: A New Robust Ordinal Regression Approach [Articolo su rivista]
Lolli, F.; Balugani, E.; Butturi, M. A.; Coruzzolo, A. M.; Ishizaka, A.; Marinelli, S.; Romano, V.
abstract

The criteria for selecting insulating materials in the energy retrofitting of industrial buildings can often be conflicting, leading to a multicriteria decision-making problem. This is the first study to take an indirect elicitation approach to solving this selection problem, which is particularly applicable in the preliminary phases of negotiation with all of the decision-makers involved. We introduce a nonlinear indirect elicitation approach for PROMETHEE II that uses Bézier curves as nonlinear preference curves to fit the decision-maker's preferences, i.e., indifference and/or strict preferences for insulating materials that are taken as references. In our approach, no parameters need to be initially set, and thus, it has the advantage of setting both the preference curves on the criteria and the criteria weights when the decision-maker is not confident. The set of Bézier curves and criteria weights that best fits the preferences given by the decision-maker may thus be achieved and visualized, which provides managerial insights as it makes explicit the preference structure of the decision-maker. We use a case study to validate our proposal in a real setting and confirm that linear preference curves would have achieved less clear relations between the insulating materials used as references respect to Bèzier curves.

2022 - Age-based preventive maintenance with multiple printing options [Articolo su rivista]
Lolli, F.; Coruzzolo, A. M.; Peron, M.; Sgarbossa, F.
abstract

In today's economic context, production systems must be readily available and machinery downtime kept to a minimum. Maintenance and spare parts inventory management play a vital role in achieving these goals, and preventive maintenance has increasingly been considered in maintenance policies. Additive manufacturing (AM) has recently been combined with preventive maintenance, and thus represents an emerging research direction. However, few studies have as yet been conducted in this research stream, and we intend to fill this gap. Our study makes three main contributions. First, we address the main limitations of two current models (i.e., assuming that no failure occurs during the replenishment lead time of the spare parts). Second, we propose a new maintenance policy that considers two printing options with different levels of reliability and unitary purchase costs. Third, we develop a decision support system (DSS) to assist managers in deciding whether to implement a preventive maintenance policy that includes AM or conventional manufacturing (CM) parts. We take an interdisciplinary approach to conducting a parametrical analysis where we consider real data on the reliability of CM and AM parts, in addition to the impact of post-processing operations and optimization routines. We find that AM-based preventive maintenance policies are favored when the MTTF and the backorder costs are low and when the failure and maintenance costs are high. These findings have been incorporated into the DSS, which provides thresholds for every parameter to guide practitioners in choosing between AM and CM parts for preventive maintenance, without requiring time-expensive calculations.

2022 - How the type of customer can influence the product attributes: Application of house of quality with multi-user information to improve the functions of a waste collection and treatment service management software [Relazione in Atti di Convegno]
Coruzzolo, A. M.; Marinello, S.; Lolli, F.; Gamberini, R.
abstract

2022 - On demand printing with Additive Manufacturing (AM) for spare parts: scenarios for the insourcing of a 3D Printer [Relazione in Atti di Convegno]
Coruzzolo, A. M.; Lolli, F.; Balugani, E.; Rimini, B.
abstract

Additive Manufacturing (AM) has become a promising technique for spare parts management. The reduced lead time of AM compared to Classical Manufacturing (CM) has attracted the interest of researchers and many applications of AM to spare parts management have been introduced in the literature. However, the high production and equipment costs obscure the advantages of AM to spare parts management to practitioners and academics. The recent literature on spare parts management with AM have two main limitations which we address in this work. The first is that AM spare parts are mistakenly assumed to be less reliable than CM ones, which has been refuted by the recent literature on the mechanical characteristics of AM parts. Secondly, the external supply of AM parts that excludes the investment cost of the equipment. Our model overcomes these limitations by taking into account a spare part installed on a fleet of systems which failures are based on failure data from recent literature. In addition, we consider an insourced 3D printer, and account for the purchasing cost. We propose several scenarios for the insourcing of a 3D printing, considering a future cost reduction and constrained stock systems, individuating constrained stock system with high lead times for the CM part, ideal for in-house printing. The work has been supported by the project SUPERCRAFT, funded by the Emilia-Romagna Region (Italy) with European funds (POR FESR).

2022 - On the suitability of insourced Additive Manufacturing for spare parts management [Relazione in Atti di Convegno]
Lolli, F; Coruzzolo, Am; Peron, M; Sgarbossa, F
abstract

Additive Manufacturing (AM) has recently emerged as a promising technique in spare parts manufacturing. Unlike conventional manufacturing (CM) techniques, AM can lead to a reduction in inventory levels, particularly when insourced, through manufacturing spare parts on demand. However, due to the high production costs, the economic benefits of manufacturing spare parts through AM are unclear to managers and practitioners. Recent studies aimed at assisting in this decision have two main limitations: (i) they assume that AM spare parts typically have higher failure rates than CM parts: and (ii) they do not consider the AM machinery investment costs and parts are assumed to be externally supplied. We have developed a model that overcomes these limitations, first by assessing the failure rates of AM spare parts through an interdisciplinary approach rather than making arbitrary assumptions, which enables a comparison with the failure rates through CM reported in the literature. Second, we considered that the manufacturing of AM spare parts can be insourced and thus the investment costs for AM printers are also included, while the manufacturing of CM spare parts is considered to be outsourced. The model was tested with unconstrained and constrained stock systems, and clearly demonstrates the advantages of an insourced 3D printer for on-demand printing under constrained stock systems. Neither is AM preferable under an unconstrained system, due to the high costs of purchasing the printer and of production. Copyright (C) 2022 The Authors.

2022 - Order Picking Systems: A Queue Model for Dimensioning the Storage Capacity, the Crew of Pickers, and the AGV Fleet [Articolo su rivista]
Lolli, F.; Lodi, F.; Giberti, C.; Coruzzolo, A. M.; Marinello, S.
abstract

Designing an order picking system can be very complex, as several interrelated control variables are involved. We address the sizing of the storage capacity of the picking bay, the crew of pickers, and the AGV fleet, which are the most important variables from a tactical viewpoint in a parts-to-pickers system. Although order picking is a widely explored topic in the literature, no analytical model that can simultaneously deal with these variables is currently available. To bridge this gap, we introduce a queue model for Markovian processes, which enables us to jointly optimise the aforementioned control variables. A discrete-event simulation is then used to validate our model, and we then test our proposal with real data under different operative scenarios, with the aim of assessing the usefulness of the proposal in real settings.

2022 - Post-Occupancy Evaluation’s (POE) Applications for Improving Indoor Environment Quality (IEQ) [Articolo su rivista]
Lolli, F.; Marinello, S.; Coruzzolo, A. M.; Butturi, M. A.
abstract

To improve buildings and their characteristics, the feedback provided directly by users is generally fundamental in order to be able to adapt the technical and structural functions to the well-being of users. The post-occupancy evaluation (POE) fits perfectly into this context. The POE, through qualitative and quantitative information on the interior environment, makes it possible to identify the differences between the performances modeled in the design phase and the real performances experienced by the occupants. This review of 234 articles, published between 2006 and 2022, aims to analyze and compare the recent literature on the application of the POE methodology. The aim was to provide both a qualitative and quantitative assessment of the main factors that comprise the indoor environmental quality (IEQ). The study highlighted the factors that comprise the quality of the indoor environment, as well as the variables that are usually analyzed to describe the well-being of the occupants. The results suggested which are the most common approaches in carrying out POE studies and will identify the factors that most influence the determination of the good quality of an indoor environment.

2022 - Spare parts management with Additive Manufacturing (AM): a critical review [Relazione in Atti di Convegno]
Coruzzolo, A. M.; Balugani, E.; Gamberini, R.
abstract

Additive Manufacturing (AM) is a promising technology for producing spare parts, due to the wide variety of forms and materials that can be used and their enhanced mechanical properties. Given these features and the low lead times compared to classical manufacturing (CM), AM is now being investigated for the management of spare parts. This literature stream is relatively new, with many works based on different hypotheses (e.g., the reliability of AM parts) and with different conclusions. This critical literature review provides practitioners with information on the models available, their findings, and their limitations. Further research directions are also identified.

2022 - The Indoor Environmental Quality: A TOPSIS-based approach with indirect elicitation of criteria weights [Articolo su rivista]
Lolli, F.; Maria Coruzzolo, A.; Balugani, E.
abstract

The Indoor Environmental Quality (IEQ) assessment is a hot topic both for designers of industrial buildings and for academics since it has been proven to affect workers’ productivity. Despite the advantages of indirect eliciting approaches, only direct eliciting is used in the literature to assign weights to the main risks included in the IEQ assessment, i.e., those referring to the thermal comfort, visual comfort, acoustic comfort and indoor air quality. In order to bridge this gap and in line with the drivers of the human-centric industrial revolution, we have developed an indirect eliciting approach based on logistic regression and integer optimization that indirectly derives the aforementioned weights per worker (i.e., individual weighting) on the basis of the overall comfort perceived by him/her in different reference scenarios. These weights are then used to compute a TOPSIS-based risk measure that maps the aggregated, individual and dynamic risks to which the worker is subjected over time. A real case study is used to validate our proposal. The achieved results highlight the superiority of our indirect eliciting approach compared to the Analytical Hierarchic Process in reconstructing the overall comfort perceived by workers, as well as that age plays a crucial role to assign weights to the main risks included in the IEQ.

2021 - DRIVERS FOR SELECTING THE TYPE OF TRANSPORT IN THE MODAL SHIFT: COST, TRANSIT TIME AND ENVIRONMENTAL IMPACT ANALYSIS [Relazione in Atti di Convegno]
Coruzzolo, A. M.; Lolli, F.; Gennari, F.; Marinello, S.; Gamberini, R.
abstract

An increasing freight demand is putting pressure on the freight transport network, forced to pay high costs to ensure compliance with the conditions and delivery times, as well as to grow towards environmental sustainability. The purpose of this paper is to analyse the main drivers for choosing the type of transport in the planning of distribution logistics through the application of the Multinomial Logit Model (MLN) under the objective of CO2 emission minimisation in order to identify the most sustainable transport solution as a function of distance along the same lines as Hoover’s diagrams. The approach has been applied to a real case study (the logistics department of an Italian manufacturing company) in order to define the mode of transport that minimises the quantity of carbon dioxide emitted and therefore to analyse the effect that this modal shift strategy has on the other selection drivers. The results were encouraging in guiding the application of a modal shift strategy and the change to more sustainable transport modes: 62.5% of the company’s transport shipments should be transferred from road to a different mode, with an overall reduction of 41% of CO2 emissions, without any impact on costs and delivery time.

2021 - Improvement of the clinical-care pathway of inguinal hernia surgery: a mathematical model for implementing a feasibility study [Relazione in Atti di Convegno]
Marinello, Samuele; Coruzzolo, ANTONIO MARIA; Mazzi, Giovanni; Gamberini, Rita
abstract

The best public sector performance has long been a topic at the core of political, social and economic debate. Public management policies and the growing adoption of corporate governance principles support the transition towards models capable of guaranteeing greater control of results in terms of efficiency, effectiveness, and outcome. Healthcare systems are an example of public service. Due to their high management costs, healthcare systems are often under pressure, especially when there is a need to widen access, to improve their efficiency and their care quality and to reduce inequalities. Operations Management (OM) approaches actively support this path. This article describes a retrospective analysis, in which a surgical rescheduling plan of a hospital in northern Italy (consisting of 6 structures distributed throughout wide provincial area serving over 530,000 inhabitants) has been produced, with particular reference to inguinal hernia surgery as health service subject to optimization. The current situation ("as is" scenario) is characterized by a strong concentration of complex and urgent surgical interventions in two hospital facilities of the hospital network, which are further burdened by less complex planned interventions. A linear integer model has been developed, to determine a possible optimized scenario for the redistribution of surgical interventions, trying to leave complex and urgent cases in the two reference structures, but relieving them of the other cases through a better distribution in the other structures of the network. The costs were the driver used for the scheduling, which resulted to be considerably reduced in the new proposed configuration.

2021 - Resizing the Workforce for Picking Activity: Application in the Fashion Sector [Relazione in Atti di Convegno]
Coruzzolo, A. M.; Lolli, F.; Montanari, V.; Ciampi, T.
abstract

Order picking is one of the most critical activities in warehouses as being the most labor intensive with costs that can be up to 55% of total warehouse expenses. In this context the right sizing of picking workforce is decisive and has to guarantee a satisfactory service level. In this paper, workforce resizing for warehouse picking activities, was investigated in the light of the growth of receptivity required by one of the commissioning firms. Given the high labour intensity in the picking activities, the first phase of our analytical framework for the workforce resizing incl udes a statistical validation of the law of diminishing returns, which can be viewed as an effect of the free-rider behaviour, and then (i.e., second phase) a fitting approach of the said law; the curve that best fits the historical data is used in the third phase to forecast the future productivity. The last phase is made of an analytical procedure to derive the average future required number of ordinary and overtime pickers. We applied our framework in a real warehouse for a firm in the fashion sector, results highlighted a necessity for workforce increase, compared to the “as-is” scenario; this will allow the firm to strategically identify future workforce size requirements, from a cost-based perspective.

2021 - The Dynamic, Individual and Integrated Risk Assessment: A Multi-criteria Approach Using Big Data [Relazione in Atti di Convegno]
Lolli, Francesco; Coruzzolo, ANTONIO MARIA; D'Alessandro, Giulia; Balugani, Elia; Butturi, MARIA ANGELA; Marinello, Samuele; Marinelli, Simona
abstract

Occupational Health and Safety Risk Assessment can undoubtedly benefit from enabling technologies of Industry 4.0, with the aim of collecting and analyzing the big data related to the occupational risk factors arising into workplaces. In this paper, the assessment of the occupational risk is addressed by means of a multi-criteria approach. Indeed, after the pre-treatment of the time series of the said risk factors by means of a segmentation algorithm, a TOPSIS approach is implemented to assess the dynamic, individual and integrated risk to which a worker is subjected over the time. Finally, a numerical example is reported to illustrate the proposed in practice.