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Teresa Murino
Department of Chemical, Materials and Industrial Production Engineering, University of Naples “Federico II”, Piazzale Tecchio 80, 80125 Napoli, Italy

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Journal article
Published: 08 July 2021 in Computers & Industrial Engineering
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An application of an adapted Harmony Search (HS) algorithm is proposed in this study in order to minimize manual warehouses’ pickers travel distance. Firstly, the distance matrix has been determined through a hybrid algorithm, and then HS is used to compute the pickers' travel distance, developing a MATLAB® simulation model. This model performance is tested on twenty-five scenarios, resulting from variable length of the order pick lists and different manual storage configurations. Thirty picklists are evaluated for each scenario, for a total of 750 simulations. The results provided by the algorithm, compared with those returned by a metaheuristic algorithm and two heuristic routing policies, suggest that HS provides better outputs results than the remaining algorithms. The algorithm is also very efficient from a computational perspective; as order picking is an operational decision, the short computational time allows the pickers route to be defined even in real-time if needed.

ACS Style

Eleonora Bottani; Giorgia Casella; Teresa Murino. A hybrid metaheuristic routing algorithm for low-level picker-to-part systems. Computers & Industrial Engineering 2021, 160, 107540 .

AMA Style

Eleonora Bottani, Giorgia Casella, Teresa Murino. A hybrid metaheuristic routing algorithm for low-level picker-to-part systems. Computers & Industrial Engineering. 2021; 160 ():107540.

Chicago/Turabian Style

Eleonora Bottani; Giorgia Casella; Teresa Murino. 2021. "A hybrid metaheuristic routing algorithm for low-level picker-to-part systems." Computers & Industrial Engineering 160, no. : 107540.

Journal article
Published: 22 July 2020 in Sustainability
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Even though the use of simulation software packages is widespread in industrial and manufacturing companies, the criteria and methods proposed in the scientific literature to evaluate them do not adequately help companies in identifying a package able to enhance the efficiency of their production system. Hence, the main objective of this paper is to develop a framework to guide companies in choosing the most suitable manufacturing simulation software package. The evaluation framework developed in this study is based on two different multi-criteria methods: analytic hierarchy process (AHP) integrated with benefits, opportunities, costs, risks (BOCR) analysis and the best-worst method (BWM). The framework was developed on the basis of the suggestions from the literature and from a panel of experts, both from academia and industry, trying to capture all the facets of the software selection problem. For testing purposes, the proposed approach was applied to a mid-sized enterprise located in the south of Italy, which was facing the problem of buying an effective simulation software for Participatory Design. From a practical perspective, the application showed that the framework is effective in identifying the most suitable simulation software package according to the needs of the company. From a theoretical point of view, the multi-criteria methods suggested in the framework have never been applied to the problem of selecting simulation software; their usage in this context could bring some advantages compared to other decision-making tools.

ACS Style

Davide Cafasso; Cosimo Calabrese; Giorgia Casella; Eleonora Bottani; Teresa Murino. Framework for Selecting Manufacturing Simulation Software in Industry 4.0 Environment. Sustainability 2020, 12, 5909 .

AMA Style

Davide Cafasso, Cosimo Calabrese, Giorgia Casella, Eleonora Bottani, Teresa Murino. Framework for Selecting Manufacturing Simulation Software in Industry 4.0 Environment. Sustainability. 2020; 12 (15):5909.

Chicago/Turabian Style

Davide Cafasso; Cosimo Calabrese; Giorgia Casella; Eleonora Bottani; Teresa Murino. 2020. "Framework for Selecting Manufacturing Simulation Software in Industry 4.0 Environment." Sustainability 12, no. 15: 5909.

Journal article
Published: 15 May 2020 in Sustainability
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This paper proposes a stock dynamic sizing optimization under the Logistic 4.0 environment. The safety stock is conceived to fill up the demand variability, providing continuous stock availability. Logistic 4.0 and the smart factory topics are considered. It focuses on vertical integration to implement flexible and reconfigurable smart production systems using the information system integration in order to optimize material flow in a 4.0 full-service approach. The proposed methodology aims to reduce the occurring stock-out events through a link among the wear-out items rate and the downstream logistic demand. The failure rate items trend is obtained through life-cycle state detection by a curve fitting technique. Therefore, the optimal safety stock size is calculated and then validated by an auto-tuning iterative modified algorithm. In this study, the reorder time has been optimized. The case study refers to the material management of a very high-speed train.

ACS Style

Mario Di Nardo; Mariano Clericuzio; Teresa Murino; Chiara Sepe. An Economic Order Quantity Stochastic Dynamic Optimization Model in a Logistic 4.0 Environment. Sustainability 2020, 12, 4075 .

AMA Style

Mario Di Nardo, Mariano Clericuzio, Teresa Murino, Chiara Sepe. An Economic Order Quantity Stochastic Dynamic Optimization Model in a Logistic 4.0 Environment. Sustainability. 2020; 12 (10):4075.

Chicago/Turabian Style

Mario Di Nardo; Mariano Clericuzio; Teresa Murino; Chiara Sepe. 2020. "An Economic Order Quantity Stochastic Dynamic Optimization Model in a Logistic 4.0 Environment." Sustainability 12, no. 10: 4075.

Journal article
Published: 01 May 2020 in Sustainability
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Customers’ habits, as far as shipping requests are concerned, have changed in the last decade, due to the fast spread of e-commerce and business to consumer (B2C) systems, thus generating more and more vehicles on the road, traffic congestion and, consequently, more pollution. Trying to partially solve this problem, the operational research field dedicates part of its research to possible ways to optimize transports in terms of costs, travel times, full loads etc., with the aim of reducing inefficiencies and impacts on profit, planet and people, i.e., the well-known triple bottom line approach to sustainability, also thanks to new technologies able to instantly provide probe data, which can detail information as far as the vehicle behavior. In line with this, an adapted version of the metaheuristic water wave optimization algorithm is here presented and applied to the context of the capacitated vehicle routing problem with time windows. This latter one is a particular case of the vehicle routing problem, whose aim is to define the best route in terms of travel time for visiting a set of customers, given the vehicles capacity and time constraints in which some customers need to be visited. The algorithm is then tested on a real case study of an express courier operating in the South of Italy. A nearest neighbor heuristic is applied, as well, to the same set of data, to test the effectiveness and accuracy of the algorithm. Results show a better performance of the proposed metaheuristic, which could improve the journeys by reducing the travel time by up to 23.64%.

ACS Style

Letizia Tebaldi; Teresa Murino; Eleonora Bottani. An Adapted Version of the Water Wave Optimization Algorithm for the Capacitated Vehicle Routing Problem with Time Windows with Application to a Real Case Using Probe Data. Sustainability 2020, 12, 3666 .

AMA Style

Letizia Tebaldi, Teresa Murino, Eleonora Bottani. An Adapted Version of the Water Wave Optimization Algorithm for the Capacitated Vehicle Routing Problem with Time Windows with Application to a Real Case Using Probe Data. Sustainability. 2020; 12 (9):3666.

Chicago/Turabian Style

Letizia Tebaldi; Teresa Murino; Eleonora Bottani. 2020. "An Adapted Version of the Water Wave Optimization Algorithm for the Capacitated Vehicle Routing Problem with Time Windows with Application to a Real Case Using Probe Data." Sustainability 12, no. 9: 3666.

Journal article
Published: 30 January 2020 in Applied Sciences
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In a safety management system (SMS), risk management plays a key role for the prevention of accidents. This study aims to propose a safety management model by using a system dynamics approach applied to the Bhopal incident. The model proposed in this paper discusses the relationships among the main causes that have contributed to the occurrence of the incident studied, such as broken safety devices, inadequate personnel experience, operator decisions, manager production strategy, policy decision, as deduced from the relevant literature about the Bhopal incident dynamics. The simulation and the results clarify how to manage the key factors to make the plant safe. Moreover, we want to underline how these key modern aspects of safety could be enhanced by using the enabling technologies of industry 4.0.

ACS Style

Mario Di Nardo; Marianna Madonna; Teresa Murino; Francesco Castagna. Modelling a Safety Management System Using System Dynamics at the Bhopal Incident. Applied Sciences 2020, 10, 903 .

AMA Style

Mario Di Nardo, Marianna Madonna, Teresa Murino, Francesco Castagna. Modelling a Safety Management System Using System Dynamics at the Bhopal Incident. Applied Sciences. 2020; 10 (3):903.

Chicago/Turabian Style

Mario Di Nardo; Marianna Madonna; Teresa Murino; Francesco Castagna. 2020. "Modelling a Safety Management System Using System Dynamics at the Bhopal Incident." Applied Sciences 10, no. 3: 903.

Journal article
Published: 21 January 2020 in Applied Sciences
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In light of the Fourth Industrial Revolution, the concepts of flexibility and re-configurability of manufacturing systems and the evolution of their control architectures are becoming increasingly important. The development of Cyber Physical Systems (CPS) and their flexibility and integrated capabilities have paved the way to the transition from centralized control to heterarchical (decentralized) control architectures. In this paper, a comparison between centralized and heterarchical control architectures in a virtual learning environment is presented. The control architectures of the assembly station and the materials handling system of modern manufacturing systems have been conceptualized and tested under different working conditions. The results show that centralized control is the best solution only for deterministic and predictable scenarios, which are very far from reality, whereas, in case of failures, a more flexible control is preferable.

ACS Style

Anna Rosaria Boccella; Piera Centobelli; Roberto Cerchione; Teresa Murino; And Ralph Riedel; Centobelli Piera. Evaluating Centralized and Heterarchical Control of Smart Manufacturing Systems in the Era of Industry 4.0. Applied Sciences 2020, 10, 755 .

AMA Style

Anna Rosaria Boccella, Piera Centobelli, Roberto Cerchione, Teresa Murino, And Ralph Riedel, Centobelli Piera. Evaluating Centralized and Heterarchical Control of Smart Manufacturing Systems in the Era of Industry 4.0. Applied Sciences. 2020; 10 (3):755.

Chicago/Turabian Style

Anna Rosaria Boccella; Piera Centobelli; Roberto Cerchione; Teresa Murino; And Ralph Riedel; Centobelli Piera. 2020. "Evaluating Centralized and Heterarchical Control of Smart Manufacturing Systems in the Era of Industry 4.0." Applied Sciences 10, no. 3: 755.

Journal article
Published: 13 May 2019 in Industrial Management & Data Systems
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Purpose The purpose of this paper is to propose an artificial intelligence-based framework to support decision making in wholesale distribution, with the aim to limit wholesaler out-of-stocks (OOSs) by jointly formulating price policies and forecasting retailer’s demand. Design/methodology/approach The framework is based on the cascade implementation of two artificial neural networks (ANNs) connected in series. The first ANN is used to derive the selling price of the products offered by the wholesaler. This represents one of the inputs of the second ANN that is used to anticipate the retailer’s demand. Both the ANNs make use of several other input parameters and are trained and tested on a real wholesale supply chain. Findings The application of the ANN framework to a real wholesale supply chain shows that the proposed methodology has the potential to decrease economic loss due to OOS occurrence by more than 56 percent. Originality/value The combined use of ANNs is a novelty in supply chain operation management. Moreover, this approach provides wholesalers with an effective tool to issue purchase orders according to more dependable demand forecasts.

ACS Style

Eleonora Bottani; Piera Centobelli; Mosé Gallo; Mohamad Amin Kaviani; Vipul Jain; Teresa Murino. Modelling wholesale distribution operations: an artificial intelligence framework. Industrial Management & Data Systems 2019, 119, 698 -718.

AMA Style

Eleonora Bottani, Piera Centobelli, Mosé Gallo, Mohamad Amin Kaviani, Vipul Jain, Teresa Murino. Modelling wholesale distribution operations: an artificial intelligence framework. Industrial Management & Data Systems. 2019; 119 (4):698-718.

Chicago/Turabian Style

Eleonora Bottani; Piera Centobelli; Mosé Gallo; Mohamad Amin Kaviani; Vipul Jain; Teresa Murino. 2019. "Modelling wholesale distribution operations: an artificial intelligence framework." Industrial Management & Data Systems 119, no. 4: 698-718.

Conference paper
Published: 01 September 2015 in Communications in Computer and Information Science
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Hospital overcrowding is a universal problem. Currently, Lean thinking is focused on removing process waste and variation. However, the high level of complexity and uncertainty inherent to healthcare make it incredibly challenging to remove variability and achieve the stable process rates necessary for lean redesign efforts to be effective. In this work, in fact, we proposed the Agile logic, which was developed in manufacturing to optimize product delivery in volatile demand environments with highly variable customer requirements. Agile redesign focuses on increasing system responsiveness to customers through improved resource coordination and flexibility. Furthermore, we propose a new method of bed management through the use of DRGs. System dynamics simulation is used to explore the impact of following an agile redesign approach in healthcare on service access and on diagnostic system and the effect of the Bed Manager application to the hospital.

ACS Style

Giuseppe Converso; Sara Di Giacomo; Teresa Murino; Teresa Rea. A System Dynamics Model for Bed Management Strategy in Health Care Units. Communications in Computer and Information Science 2015, 610 -622.

AMA Style

Giuseppe Converso, Sara Di Giacomo, Teresa Murino, Teresa Rea. A System Dynamics Model for Bed Management Strategy in Health Care Units. Communications in Computer and Information Science. 2015; ():610-622.

Chicago/Turabian Style

Giuseppe Converso; Sara Di Giacomo; Teresa Murino; Teresa Rea. 2015. "A System Dynamics Model for Bed Management Strategy in Health Care Units." Communications in Computer and Information Science , no. : 610-622.

Book chapter
Published: 01 January 2012 in Econometrics for Financial Applications
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This article focused on application of Lean techniques in healthcare service. In this context, the aim of this work is to demonstrate that the problems associated with the application in the world services of the rules governing production processes are only apparent. In fact, the provision of a service search, like industrial production, to implement value-added processes and also an appropriate use of resources consumption, although until now it was considered that the service management should use management strategies completely different from those used in the industrial sector. The service sector is backward compared to the manufacturing industry in terms of efficiency, automation, repeatability and quality. The reason is very simple: the design and implementation of the process of service delivery have always been much less expensive than the corresponding activities of the manufacturing sector. In particular, we will analyse as case study, vaccination service in the City District in the South of Italy. It will, therefore, applied the techniques of "lean" philosophy to a specific activity of this service in order to improve performance. In particular we are going to focus on the processes of vaccines delivery among the various activities within the District. We have used a new study approach based on simulation : using a software (Powersim), we have developed a model of the current state and, basing on suggestions for improvement; then, after this research, have noticed an improvement of critical performance parameters developing a model of the future state.

ACS Style

Daniela Chiocca; Guido Guizzi; Teresa Murino; Roberto Revetria; Elpidio Romano. A Methodology for Supporting Lean Healthcare. Econometrics for Financial Applications 2012, 93 -99.

AMA Style

Daniela Chiocca, Guido Guizzi, Teresa Murino, Roberto Revetria, Elpidio Romano. A Methodology for Supporting Lean Healthcare. Econometrics for Financial Applications. 2012; ():93-99.

Chicago/Turabian Style

Daniela Chiocca; Guido Guizzi; Teresa Murino; Roberto Revetria; Elpidio Romano. 2012. "A Methodology for Supporting Lean Healthcare." Econometrics for Financial Applications , no. : 93-99.

Book chapter
Published: 04 December 2009 in Business Performance Measurement and Management
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Companies linked in a modern supply network are affected by tight interdependences which cause remarkable risk levels. This paper suggests a method to select risk factors and sources providing the management with a functional tool to hold in check related risks. Particularly, aeronautical firms are considered in the practical application of the method: some strategic goals of the network are selected and a dashboard of indexes is adopted to establish specific control points. A variation in one, or more, indicator/s will allow to promptly investigate on the interested part of the network which could negatively affect its overall performance.

ACS Style

Roberto Maria Grisi; Teresa Murino; Pasquale Zoppoli. Risk in Supply Networks: The Case of Aeronautical Firms. Business Performance Measurement and Management 2009, 207 -225.

AMA Style

Roberto Maria Grisi, Teresa Murino, Pasquale Zoppoli. Risk in Supply Networks: The Case of Aeronautical Firms. Business Performance Measurement and Management. 2009; ():207-225.

Chicago/Turabian Style

Roberto Maria Grisi; Teresa Murino; Pasquale Zoppoli. 2009. "Risk in Supply Networks: The Case of Aeronautical Firms." Business Performance Measurement and Management , no. : 207-225.