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Prognostic Health Management (PHM) is a predictive maintenance strategy, which is based on Condition Monitoring (CM) data and aims to predict the future states of machinery. The existing literature reports the PHM at two levels: methodological and applicative. From the methodological point of view, there are many publications and standards of a PHM system design. From the applicative point of view, many papers address the improvement of techniques adopted for realizing PHM tasks without covering the whole process. In these cases, most applications rely on a large amount of historical data to train models for diagnostic and prognostic purposes. Industries, very often, are not able to obtain these data. Thus, the most adopted approaches, based on batch and off-line analysis, cannot be adopted. In this paper, we present a novel framework and architecture that support the initial application of PHM from the machinery producers’ perspective. The proposed framework is based on an edge-cloud infrastructure that allows performing streaming analysis at the edge to reduce the quantity of the data to store in permanent memory, to know the health status of the machinery at any point in time, and to discover novel and anomalous behaviors. The collection of the data from multiple machines into a cloud server allows training more accurate diagnostic and prognostic models using a higher amount of data, whose results will serve to predict the health status in real-time at the edge. The so-built PHM system would allow industries to monitor and supervise a machinery network placed in different locations and can thus bring several benefits to both machinery producers and users. After a brief literature review of signal processing, feature extraction, diagnostics, and prognostics, including incremental and semi-supervised approaches for anomaly and novelty detection applied to data streams, a case study is presented. It was conducted on data collected from a test rig and shows the potential of the proposed framework in terms of the ability to detect changes in the operating conditions and abrupt faults and storage memory saving. The outcomes of our work, as well as its major novel aspect, is the design of a framework for a PHM system based on specific requirements that directly originate from the industrial field, together with indications on which techniques can be adopted to achieve such goals.
Francesca Calabrese; Alberto Regattieri; Marco Bortolini; Mauro Gamberi; Francesco Pilati. Predictive Maintenance: A Novel Framework for a Data-Driven, Semi-Supervised, and Partially Online Prognostic Health Management Application in Industries. Applied Sciences 2021, 11, 3380 .
AMA StyleFrancesca Calabrese, Alberto Regattieri, Marco Bortolini, Mauro Gamberi, Francesco Pilati. Predictive Maintenance: A Novel Framework for a Data-Driven, Semi-Supervised, and Partially Online Prognostic Health Management Application in Industries. Applied Sciences. 2021; 11 (8):3380.
Chicago/Turabian StyleFrancesca Calabrese; Alberto Regattieri; Marco Bortolini; Mauro Gamberi; Francesco Pilati. 2021. "Predictive Maintenance: A Novel Framework for a Data-Driven, Semi-Supervised, and Partially Online Prognostic Health Management Application in Industries." Applied Sciences 11, no. 8: 3380.
In the last decades, Reconfigurable Manufacturing Systems (RMSs) rose as an emerging manufacturing strategy matching the modern industrial and market requirements asking for a wide variety of products in flexible batches. A traditional reconfigurable manufacturing environment consists of dynamic cells, called Reconfigurable Machine Cells (RMCs), including a set of machines called Reconfigurable Machine Tools (RMTs). Such machines are characterized by fixed elements, i.e., basic modules, and dynamic elements, i.e., auxiliary modules, allowing them to perform different operations. Despite their automation level, these systems require the intervention of the human operators in performing specific tasks, e.g., handling of the auxiliary modules from the warehouse to the RMTs and their assembly/disassembly to/from the RMTs. This issue rises relevant ergonomic and safety questions due to the human–machine collaboration. Following this stream, this paper proposes and applies a bi-objective optimization model for the design and management of RMSs. The technical objective function minimizes the reconfiguration time, i.e., the time needed to equip the RMTs with the required auxiliary modules, and the part and auxiliary module travel time among the RMCs. The ergonomic objective function minimizes the repetitive movements performed by the human operators during the working activities according to the ISO 11228-3 standard. Results show the existence of a good trade-off between the two objective functions, proving the possibility to improve the ergonomic conditions of the human operators without excessively increasing the total time needed for RMTs reconfiguration and for part and auxiliary module travelling.
Marco Bortolini; Lucia Botti; Francesco Gabriele Galizia; Alberto Regattieri. Bi-Objective Design and Management of Reconfigurable Manufacturing Systems to Optimize Technical and Ergonomic Performances. Applied Sciences 2020, 11, 263 .
AMA StyleMarco Bortolini, Lucia Botti, Francesco Gabriele Galizia, Alberto Regattieri. Bi-Objective Design and Management of Reconfigurable Manufacturing Systems to Optimize Technical and Ergonomic Performances. Applied Sciences. 2020; 11 (1):263.
Chicago/Turabian StyleMarco Bortolini; Lucia Botti; Francesco Gabriele Galizia; Alberto Regattieri. 2020. "Bi-Objective Design and Management of Reconfigurable Manufacturing Systems to Optimize Technical and Ergonomic Performances." Applied Sciences 11, no. 1: 263.
Predictive maintenance allows industries to keep their production systems available as much as possible. Reducing unforeseen shutdowns to a level that is close to zero has numerous advantages, including production cost savings, a high quality level of both products and processes, and a high safety level. Studies in this field have focused on a novel approach, prognostic health management (PHM), which relies on condition monitoring (CM) for predicting the remaining useful life (RUL) of a system. However, several issues remain in its application to real industrial contexts, e.g., the difficulties in conducting tests simulating each fault condition, the dynamic nature of industrial environments, and the need to handle large amounts of data collected from machinery. In this paper, a data-driven methodology for PHM implementation is proposed, which has the following characteristics: it is unsupervised, i.e., it does not require any prior knowledge regarding fault behaviors and it does not rely on pre-trained classification models, i.e., it can be applied “from scratch”; it can be applied online due to its low computational effort, which makes it suitable for edge computing; and, it includes all of the steps that are involved in a prognostic program, i.e., feature extraction, health indicator (HI) construction, health stage (HS) division, degradation modelling, and RUL prediction. Finally, the proposed methodology is applied in this study to a rotating component. The study results, in terms of the ability of the proposed approach to make a timely prediction of component fault conditions, are promising.
Francesca Calabrese; Alberto Regattieri; Lucia Botti; Cristina Mora; Francesco Gabriele Galizia. Unsupervised Fault Detection and Prediction of Remaining Useful Life for Online Prognostic Health Management of Mechanical Systems. Applied Sciences 2020, 10, 4120 .
AMA StyleFrancesca Calabrese, Alberto Regattieri, Lucia Botti, Cristina Mora, Francesco Gabriele Galizia. Unsupervised Fault Detection and Prediction of Remaining Useful Life for Online Prognostic Health Management of Mechanical Systems. Applied Sciences. 2020; 10 (12):4120.
Chicago/Turabian StyleFrancesca Calabrese; Alberto Regattieri; Lucia Botti; Cristina Mora; Francesco Gabriele Galizia. 2020. "Unsupervised Fault Detection and Prediction of Remaining Useful Life for Online Prognostic Health Management of Mechanical Systems." Applied Sciences 10, no. 12: 4120.
The objective of the present research is to better understand mobility in university campus areas, using local and transnational data, policies and planning instruments. This analysis looks at integrating student’s mobility flows to/from and inside Campus areas with urban mobility. Within this framework, a survey was developed for seven Southern European universities including a mobility questionnaire on current mobility, desired mobility, mobility problems, proposed measures/policies/tools as well as demographic characteristics of the participants which were mainly undergraduate students, post graduate students, academic/faculty members and administrative staff. For the purpose of the survey, 1,090 questionnaires were collected and further analyse. Regarding the mobility to/from the city, campuses are further distinguished into those that are inside and outside the city. Results highlight differences in the policies that are most critical based on the location of each University. More specifically, for campuses located inside urban area, the most important transport measures include public transport and environmental issues. On the other hand, for mobility in campuses located outside urban areas, results indicate that measures should address public transport and road infrastructure, to help accessibility to and from the campus areas.
Eleni Vlahogianni; Panagiotis Papantoniou; George Yannis; Maria Attard; Alberto Regattieri; Francesco Piana; Francesco Pilati. Analysis of Mobility Patterns in Selected University Campus Areas. Advances in Intelligent Systems and Computing 2018, 426 -433.
AMA StyleEleni Vlahogianni, Panagiotis Papantoniou, George Yannis, Maria Attard, Alberto Regattieri, Francesco Piana, Francesco Pilati. Analysis of Mobility Patterns in Selected University Campus Areas. Advances in Intelligent Systems and Computing. 2018; ():426-433.
Chicago/Turabian StyleEleni Vlahogianni; Panagiotis Papantoniou; George Yannis; Maria Attard; Alberto Regattieri; Francesco Piana; Francesco Pilati. 2018. "Analysis of Mobility Patterns in Selected University Campus Areas." Advances in Intelligent Systems and Computing , no. : 426-433.
Smart and distributed energy micro-production is the new pattern for the electric energy supply, joining high service level and sustainability issues. Within such a context, the renewables, i.e. solar photovoltaic (PV), micro-wind, etc., play an increasing role as part of the source mix because of their capillary presence and the decrease of the required initial technology investments. On the contrary, the renewable intermittence is the key weakness to overcome to make a turning point to their final spread. To this purpose, hybrid energy systems join the plus of having renewable modules to the plus of having backup traditional units activated in the case of lack of energy. This study presents and applies to an Italian rural context a linear programming model to best design and manage a local off-grid renewable smart energy system. The power system may include PV and micro-wind technologies together with a battery bank and diesel generator as the backup system. Starting from the expected average load profile, the environmental conditions and the technical features of the energy modules, the model selects the most suitable energy sources, optimizes the power rates of each unit and manages the energy flows within the system. The final goal to achieve is to minimize the levelized cost of the produced electricity (LCOE) making such a system competitive respect to fully fossil fuel based energy systems. The aforementioned case study exemplifies the model application focusing on a remote scientific center requiring electric energy for its daily research activities. The area where the center is located is badly connected to the national grid and, actually, a fossil fuel generator is used, only, to provide electricity. An as-is vs. to-be differential analysis assesses the effect of introducing a dedicated renewable smart energy system finding its economic feasibility over a 15 year lifetime. Evidences show the convenience of exploiting the solar source, while little convenience is for micro-wind installation because of low available wind power and the increasing system complexity. Globally, the LCOE is close to 0.14 €/kWh making competitive the hybrid energy solution, close to the evident environmental benefit.
Marco Bortolini; Mauro Gamberi; Francesco Pilati; Alberto Regattieri. Design and Management of Renewable Smart Energy Systems: An Optimization Model and Italian Case Study. EngOpt 2018 Proceedings of the 6th International Conference on Engineering Optimization 2018, 1340 -1352.
AMA StyleMarco Bortolini, Mauro Gamberi, Francesco Pilati, Alberto Regattieri. Design and Management of Renewable Smart Energy Systems: An Optimization Model and Italian Case Study. EngOpt 2018 Proceedings of the 6th International Conference on Engineering Optimization. 2018; ():1340-1352.
Chicago/Turabian StyleMarco Bortolini; Mauro Gamberi; Francesco Pilati; Alberto Regattieri. 2018. "Design and Management of Renewable Smart Energy Systems: An Optimization Model and Italian Case Study." EngOpt 2018 Proceedings of the 6th International Conference on Engineering Optimization , no. : 1340-1352.
Since 1913, the Harris’ model is adopted within intermittent production systems to size the batches to produce and purchase. For each product, the model sets the so-called Economic Order Quantity (EOQ) as the quantity optimally trading-off the cost of orders and the average stock cost. Traditionally, the EOQ from the Harris’ model is a milestone for make-to-stock (MTS) production systems. In addition, existing extensions of the base model are in the direction of including multiple actors of the supply chain, i.e. joint economic lot size, and tailored product management policies, i.e. consignment stock. A basic hypothesis behind the lot size models is that the production line productivity is higher than the average market demand so that a dynamic equilibrium becomes feasible. Nevertheless, in the case of permanent or temporary high product request, the productivity of a single production line can be insufficient. This case makes of interest the adoption of multi-line production systems. Such systems are made of parallel production lines able to produce the same product at the same final qualitative standards so that the output is a unique batch of identical products. This paper investigates MTS multi-line systems presenting two formulations of the EOQ model for the case of identical lines (1) and the case of lines with different productivity and setup cost (2). Finally, an application of the model is done with data taken from a leading company operating in the beverage packaging sector.
Marco Bortolini; Silvia Errani; Mauro Gamberi; Francesco Pilati; Alberto Regattieri. Beyond the Harris’ Model to Optimally Define Lot Sizes in a Make-to-Stock Multi-line Production System. EngOpt 2018 Proceedings of the 6th International Conference on Engineering Optimization 2018, 1316 -1327.
AMA StyleMarco Bortolini, Silvia Errani, Mauro Gamberi, Francesco Pilati, Alberto Regattieri. Beyond the Harris’ Model to Optimally Define Lot Sizes in a Make-to-Stock Multi-line Production System. EngOpt 2018 Proceedings of the 6th International Conference on Engineering Optimization. 2018; ():1316-1327.
Chicago/Turabian StyleMarco Bortolini; Silvia Errani; Mauro Gamberi; Francesco Pilati; Alberto Regattieri. 2018. "Beyond the Harris’ Model to Optimally Define Lot Sizes in a Make-to-Stock Multi-line Production System." EngOpt 2018 Proceedings of the 6th International Conference on Engineering Optimization , no. : 1316-1327.
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.
E. Balugani; F. Lolli; R. Gamberini; B. Rimini; A. Regattieri. Clustering for inventory control systems. IFAC-PapersOnLine 2018, 51, 1174 -1179.
AMA StyleE. Balugani, F. Lolli, R. Gamberini, B. Rimini, A. Regattieri. Clustering for inventory control systems. IFAC-PapersOnLine. 2018; 51 (11):1174-1179.
Chicago/Turabian StyleE. Balugani; F. Lolli; R. Gamberini; B. Rimini; A. Regattieri. 2018. "Clustering for inventory control systems." IFAC-PapersOnLine 51, no. 11: 1174-1179.
Operations, logistics and supply chains are catalysts in any modern economy and therefore essential contributors to economic prosperity and societal welfare. This chapter briefly sketches the origins of the field and presents a case study on the importance of a balanced logistical organization from the 17th century, after which formal definitions and objectives are introduced. In addition, we discuss relations with other management areas as well as with other science domains such as law or social and political sciences. Topics and concepts in this chapter are discussed at an elementary level, aiming to provide an introduction to the topical field of operations, logistics, and supply chain management.
Henk Zijm; Matthias Klumpp; Sunderesh Heragu; Alberto Regattieri. Operations, Logistics and Supply Chain Management: Definitions and Objectives. Optimization and Decision Support Systems for Supply Chains 2018, 27 -42.
AMA StyleHenk Zijm, Matthias Klumpp, Sunderesh Heragu, Alberto Regattieri. Operations, Logistics and Supply Chain Management: Definitions and Objectives. Optimization and Decision Support Systems for Supply Chains. 2018; ():27-42.
Chicago/Turabian StyleHenk Zijm; Matthias Klumpp; Sunderesh Heragu; Alberto Regattieri. 2018. "Operations, Logistics and Supply Chain Management: Definitions and Objectives." Optimization and Decision Support Systems for Supply Chains , no. : 27-42.
In this chapter, we discuss major technological and societal developments that determine our lives to a large extent, not in the least the way we organize our resource needs and hence logistics and supply chains. After outlining these developments globally, we give some examples of truly disrupting business models that are fundamentally changing our logistics and supply chain operations. Next, we look in more depth at the manifestation of the digital revolution in manufacturing and supply chains, as well as the many opportunities that these technologies offer in addressing a number of major societal challenges.
Henk Zijm; Sunderesh Heragu; Matthias Klumpp; Alberto Regattieri. Perspectives on Operations Management Developments and Research. Optimization and Decision Support Systems for Supply Chains 2018, 15 -25.
AMA StyleHenk Zijm, Sunderesh Heragu, Matthias Klumpp, Alberto Regattieri. Perspectives on Operations Management Developments and Research. Optimization and Decision Support Systems for Supply Chains. 2018; ():15-25.
Chicago/Turabian StyleHenk Zijm; Sunderesh Heragu; Matthias Klumpp; Alberto Regattieri. 2018. "Perspectives on Operations Management Developments and Research." Optimization and Decision Support Systems for Supply Chains , no. : 15-25.
Operations, logistics, and supply chains are essential enablers in a modern economy. At the same time, operational, logistics, and supply chain systems are changing fundamentally as a result of technological and societal developments, requiring both researchers as well as skilled professionals to rethink them and to incorporate new functionalities. This in turn poses new demands on the way vocational and academic learning, as well as on-the-job training programs for operations, logistics, and supply chain management are designed. This book is an attempt to serve students, researchers, and business practitioners by providing information and background material at various levels. In this introductory chapter, we discuss the scope and structure of the book. Reading this chapter is recommended to determine how to use the book in classroom lectures and seminars, gather background information or for studying specific topics. In each chapter, suggestions for further reading and resources for the growth of lateral and critical thinking are provided in order to spread the learning curve—sometimes even slightly beyond the operations, logistics, and supply chain management domain. Readers are encouraged to explore the additional material for their own development and to build general learning and research capacities.
Matthias Klumpp; Henk Zijm; Sunderesh Heragu; Alberto Regattieri. Objectives, Educational Developments and Structure of the Book. Optimization and Decision Support Systems for Supply Chains 2018, 3 -14.
AMA StyleMatthias Klumpp, Henk Zijm, Sunderesh Heragu, Alberto Regattieri. Objectives, Educational Developments and Structure of the Book. Optimization and Decision Support Systems for Supply Chains. 2018; ():3-14.
Chicago/Turabian StyleMatthias Klumpp; Henk Zijm; Sunderesh Heragu; Alberto Regattieri. 2018. "Objectives, Educational Developments and Structure of the Book." Optimization and Decision Support Systems for Supply Chains , no. : 3-14.
The chapter discusses the important role of packaging as part of a company’s market and operations management. Packaging has been evolving for centuries and continues to do so, forcing consumers to change their habits. From simple protection tools to safeguarding carried items, packaging has become a marketing and communication instrument as important as contents. E-commerce and online-retailers growth change again the packaging role during purchasing, bring it back as mere logistics and protection tool. In the first basic section, a brief history of packaging is described. Starting from the most important steps, which characterize packaging from the very beginning, in prehistory, followed by the commercial discoveries of the Middle Ages, the industrial revolution, until the present day with the newest and most ingenious packaging solutions. With a focus on marketing, design, logistics, environmental impact, and costs, a complete reference framework underlining how each of these aspects change along the supply chain steps is presented. The advanced and second section of the chapter presents case studies, models and methods for packaging costs evaluation and unit load design. Logistics and packaging are fundamental business leverages for a modern company, therefore any improvements can represent opportunities and generate profits. The chapter ends with a discussion about state-of-the-art research in packaging: the last decade showed a strong development of the e-commerce market, and the central role of packaging changed. Furthermore, the evolution of technologies, materials and Internet Communication Technologies in the last few years have improved the packaging world as well creating, for example, intelligent packaging that can communicate with consumers or interact with products, allowing the traceability of a single item within the entire supply chain. Packaging is a fundamental resource for end-customers and all actors involved in the entire supply chain.
Alberto Regattieri; Giulia Santarelli; Francesco Piana. Packaging Logistics. Optimization and Decision Support Systems for Supply Chains 2018, 273 -303.
AMA StyleAlberto Regattieri, Giulia Santarelli, Francesco Piana. Packaging Logistics. Optimization and Decision Support Systems for Supply Chains. 2018; ():273-303.
Chicago/Turabian StyleAlberto Regattieri; Giulia Santarelli; Francesco Piana. 2018. "Packaging Logistics." Optimization and Decision Support Systems for Supply Chains , no. : 273-303.
Purpose In a hospital, the management of different materials (i.e. waste, drugs, equipment, etc.) is fundamental from an economical point of view and also when considering its impact on patient treatment. The purpose of this paper is to introduce by an innovative approach lean principles in the management of this supply chain. Design/methodology/approach After the contextualization of the importance of the drug management in hospitals, authors analyze the literature in particular discussing the points of weakness. They propose an innovative methodology to implement a lean principle in this particular supply chain. After a general discussion authors discuss the application of the proposed methodology in the largest Italian hospital, the Policlinico Sant’Orsola – Malpighi in Bologna. Findings The results are very encouraging, confirm the value of the methods and motivate the authors to do further research. The proposed methodology takes into account both a technical approach and the real behavior of a hospital including logistics knowledge and motivation for material management in ward personnel. Real results are interesting both in term of economic impact and in term of effect on patient care. Originality/value Maximizing patient care is the mission of the healthcare system; however, poor management of drugs and materials can have serious effects on the quality of service. In the last years, several excellent technological solutions have been developed, but often their application in the field was limited and ineffective due to the gap in knowledge and commitment required and available in the ward’s personnel. The new methodology developed is focused to solve this gap and was tested in an important case study.
Alberto Regattieri; Alessandro Bartolini; Maddalena Cima; Maria Giulia Fanti; Diego Lauritano. An innovative procedure for introducing the lean concept into the internal drug supply chain of a hospital. The TQM Journal 2018, 30, 717 -731.
AMA StyleAlberto Regattieri, Alessandro Bartolini, Maddalena Cima, Maria Giulia Fanti, Diego Lauritano. An innovative procedure for introducing the lean concept into the internal drug supply chain of a hospital. The TQM Journal. 2018; 30 (6):717-731.
Chicago/Turabian StyleAlberto Regattieri; Alessandro Bartolini; Maddalena Cima; Maria Giulia Fanti; Diego Lauritano. 2018. "An innovative procedure for introducing the lean concept into the internal drug supply chain of a hospital." The TQM Journal 30, no. 6: 717-731.
The impact of packaging waste on the environment is becoming unsustainable, which has necessitated a turning point in material recycling and reuse. Such a concept is highly relevant in the humanitarian supply chain due to the huge mass of packaging items that are provided to countries hit by disasters, with these bad conditions making it almost impossible to adopt a rational management of waste streams. The goal of this study is to provide an approach and feasible solutions to reduce the environmental influence of waste produced by packaging and at the same time, to help people affected by disasters. Starting from the analysis of the available materials, several solutions of packaging reuse and recycling are developed and several prototypes are realized and tested in collaboration with the United Nations Humanitarian Response Depots-Lab (UNHRD-Lab), which starts from the basic packaging materials used to supply first-aid to people, including cardboard, pallets, woods, and plastics. This paper addresses the above ideas and presents the design process, results and some quality tests. The experimental evidence encourages future on-field validation in refugee camps.
Alberto Regattieri; Mauro Gamberi; Marco Bortolini; Francesco Piana. Innovative Solutions for Reusing Packaging Waste Materials in Humanitarian Logistics. Sustainability 2018, 10, 1587 .
AMA StyleAlberto Regattieri, Mauro Gamberi, Marco Bortolini, Francesco Piana. Innovative Solutions for Reusing Packaging Waste Materials in Humanitarian Logistics. Sustainability. 2018; 10 (5):1587.
Chicago/Turabian StyleAlberto Regattieri; Mauro Gamberi; Marco Bortolini; Francesco Piana. 2018. "Innovative Solutions for Reusing Packaging Waste Materials in Humanitarian Logistics." Sustainability 10, no. 5: 1587.
Organic waste (OW) management tackles the problem of sanitation and hygiene in developing countries and humanitarian camps where unmanaged waste often causes severe health problems and premature death. OW still has a usable energy content, allowing biogas production, potentially contributing to satisfy the local needs, e.g., cooking, lighting and heating. Digesters are the devices converting OW into biogas under anaerobic conditions. They are simple and effective solutions for the OW management in rural areas, humanitarian camps and remote developing regions, producing energy and fertilizers for local farming as residual. This paper describes the design and lab-test of a domestic OW management system integrating a waterless toilet with a small-scale digester producing safe biogas for local micro-consumption. Starting from people’s needs and an extensive review of the current state-of-art technology, the proposed system’s key innovation and strength is the combination of effectiveness and a very simple construction, set up and use, fitting with the rural conditions and raw materials available within the emerging countries. A small-scale prototype is assembled and lab-tested assessing the quantity—i.e., productivity—and quality—i.e., composition and methane content—of the produced biogas. The measured productivity in terms of specific biogas production (SBP) is of about 0.15 m3/kgSV and a methane content of about 74% in mass match the energy needs of domestic users, encouraging the spread of such systems in developing regions and rural areas.
Alberto Regattieri; Marco Bortolini; Emilio Ferrari; Mauro Gamberi; Francesco Piana. Biogas Micro-Production from Human Organic Waste—A Research Proposal. Sustainability 2018, 10, 330 .
AMA StyleAlberto Regattieri, Marco Bortolini, Emilio Ferrari, Mauro Gamberi, Francesco Piana. Biogas Micro-Production from Human Organic Waste—A Research Proposal. Sustainability. 2018; 10 (2):330.
Chicago/Turabian StyleAlberto Regattieri; Marco Bortolini; Emilio Ferrari; Mauro Gamberi; Francesco Piana. 2018. "Biogas Micro-Production from Human Organic Waste—A Research Proposal." Sustainability 10, no. 2: 330.
Safeguard the operator health is nowadays a hot topic for most of the companies whose production process relies on manual manufacturing and assembly activities. European legislations, national regulations and international standards force the companies to assess the risk of musculoskeletal disorders of operators while they are performing manual tasks. Furthermore, international corporates typically require their partners to adopt and implement particular indices and procedures to assess the ergonomic risks specific of their industrial sector. The expertise and time required by the ergonomic assessment activity compels the companies to huge financial, human and technological investments. An original Motion Analysis System (MAS) is developed to facilitate the evaluation of most of the ergonomic indices traditionally adopted by manufacturing firms. The MAS exploits a network of marker-less depth cameras to track and record the operator movements and postures during the performed tasks. The big volume of data provided by this motion capture technology is employed by the MAS to automatically and quantitatively assesses the risk of musculoskeletal disorders over the entire task duration and for each body part. The developed hardware/software architecture is tested and validated with a real industrial case study of a car manufacturer which adopts the European Assembly Worksheet (EAWS) to assess the ergonomic risk of its assembly line operators. The results suggest how the MAS is a powerful architecture compared to other motion capture solutions. Indeed, this technology accurately assesses the operator movements and his joint absolute position in the assembly station 3D layout. Finally, the MAS automatically and quantitatively fill out the different EAWS sections, traditionally evaluated through time- and resource-consuming activities.
Marco Bortolini; Mauro Gamberi; Francesco Pilati; Alberto Regattieri. Automatic assessment of the ergonomic risk for manual manufacturing and assembly activities through optical motion capture technology. Procedia CIRP 2018, 72, 81 -86.
AMA StyleMarco Bortolini, Mauro Gamberi, Francesco Pilati, Alberto Regattieri. Automatic assessment of the ergonomic risk for manual manufacturing and assembly activities through optical motion capture technology. Procedia CIRP. 2018; 72 ():81-86.
Chicago/Turabian StyleMarco Bortolini; Mauro Gamberi; Francesco Pilati; Alberto Regattieri. 2018. "Automatic assessment of the ergonomic risk for manual manufacturing and assembly activities through optical motion capture technology." Procedia CIRP 72, no. : 81-86.
Efforts to decrease the water use within industry are mandatory to pursue product and process sustainability. Particularly, the European Union (EU) is at the top level for water consumption in industry, while some sectors, such as the food and beverage (F&B), are highly water-intensive with hundreds of liters per hour of consumed and, then, drained water. This article provides a systematic overview of the most innovative insights coming from an EU Eco-Innovation project dealing with greening the F&B industry through the design, prototyping, technical, economic, and environmental assessment of a wastewater closed-loop recovery and purification system. The system, tailored for a standard mid-size F&B company using 2–3 billion L/year of raw water, collects, purifies and recirculates the key produced wastewater streams with an overall recovery efficiency of about 56%. The proposed purification technology comes from the most efficient combination of membrane-based filtration methods, reverse osmosis (RO), and ultraviolet modules. Evidence from the technical design, full-scale on-site technology prototyping, net-present-value (NPV) analysis and system life-cycle-assessment (LCA) are presented concluding about the convenience of adopting the proposed solution to reduce costs and impacts on the environment.
Marco Bortolini; Mauro Gamberi; Cristina Mora; Francesco Pilati; Alberto Regattieri. Design, Prototyping, and Assessment of a Wastewater Closed-Loop Recovery and Purification System. Sustainability 2017, 9, 1938 .
AMA StyleMarco Bortolini, Mauro Gamberi, Cristina Mora, Francesco Pilati, Alberto Regattieri. Design, Prototyping, and Assessment of a Wastewater Closed-Loop Recovery and Purification System. Sustainability. 2017; 9 (11):1938.
Chicago/Turabian StyleMarco Bortolini; Mauro Gamberi; Cristina Mora; Francesco Pilati; Alberto Regattieri. 2017. "Design, Prototyping, and Assessment of a Wastewater Closed-Loop Recovery and Purification System." Sustainability 9, no. 11: 1938.
Lucia Botti; Cristina Mora; Alberto Regattieri. Integrating ergonomics and lean manufacturing principles in a hybrid assembly line. Computers & Industrial Engineering 2017, 111, 481 -491.
AMA StyleLucia Botti, Cristina Mora, Alberto Regattieri. Integrating ergonomics and lean manufacturing principles in a hybrid assembly line. Computers & Industrial Engineering. 2017; 111 ():481-491.
Chicago/Turabian StyleLucia Botti; Cristina Mora; Alberto Regattieri. 2017. "Integrating ergonomics and lean manufacturing principles in a hybrid assembly line." Computers & Industrial Engineering 111, no. : 481-491.
The data presented in this article are related to the research article "Integrating ergonomics and lean manufacturing principles in a hybrid assembly line" (Botti et al., 2017) [1]. The results refer to the application of the mathematical model for the design of lean processes in hybrid assembly lines, meeting both the lean principles and the ergonomic requirements for safe assembly work. Data show that the success of a lean strategy is possible when ergonomics of workers is a parameter of the assembly process design.
Lucia Botti; Cristina Mora; Alberto Regattieri. Application of a mathematical model for ergonomics in lean manufacturing. Data in Brief 2017, 14, 360 -365.
AMA StyleLucia Botti, Cristina Mora, Alberto Regattieri. Application of a mathematical model for ergonomics in lean manufacturing. Data in Brief. 2017; 14 ():360-365.
Chicago/Turabian StyleLucia Botti; Cristina Mora; Alberto Regattieri. 2017. "Application of a mathematical model for ergonomics in lean manufacturing." Data in Brief 14, no. : 360-365.
Lean manufacturing is a production method aiming to reduce costs and increase productivity by eliminating waste. Previous studies investigating the variations in the quality of working life due to the implementation of lean manufacturing have shown both negative and positive effects on workers health and perceptions of workplace safety and job satisfaction. This study investigates the impact of ergonomics on the design of manufacturing processes following the principles of lean production. A mathematical model is introduced to address the design of hybrid multi-model production lines with both manual and automatic workstations. The model includes the ergonomic risk assessment ensuring an acceptable exposure of the workers to the risk of developing musculoskeletal disorders in hand intensive tasks. The OCRA Index and the Strain Index job analysis methods are included. The aim is to analyze the variations in the solutions of the model, due to the different ergonomic risk assessment method adopted.
Lucia Botti; Cristina Mora; Francesco Piana; Alberto Regattieri. The Impact of Ergonomics on the Design of Hybrid Multi-model Production Lines in Lean Manufacturing. Advances in Intelligent Systems and Computing 2017, 167 -178.
AMA StyleLucia Botti, Cristina Mora, Francesco Piana, Alberto Regattieri. The Impact of Ergonomics on the Design of Hybrid Multi-model Production Lines in Lean Manufacturing. Advances in Intelligent Systems and Computing. 2017; ():167-178.
Chicago/Turabian StyleLucia Botti; Cristina Mora; Francesco Piana; Alberto Regattieri. 2017. "The Impact of Ergonomics on the Design of Hybrid Multi-model Production Lines in Lean Manufacturing." Advances in Intelligent Systems and Computing , no. : 167-178.
Riccardo Manzini; Riccardo Accorsi; Francesco Piana; Alberto Regattieri. Accelerated life testing for packaging decisions in the edible oils distribution. Food Packaging and Shelf Life 2017, 12, 114 -127.
AMA StyleRiccardo Manzini, Riccardo Accorsi, Francesco Piana, Alberto Regattieri. Accelerated life testing for packaging decisions in the edible oils distribution. Food Packaging and Shelf Life. 2017; 12 ():114-127.
Chicago/Turabian StyleRiccardo Manzini; Riccardo Accorsi; Francesco Piana; Alberto Regattieri. 2017. "Accelerated life testing for packaging decisions in the edible oils distribution." Food Packaging and Shelf Life 12, no. : 114-127.