Studying the funding principles for integrating Asset Management in Operations: an empirical research in production companies

The aim of this paper is to investigate Asset Management (AM) implementation as a business process within production systems to contribute to operational excellence. The main fundamentals to be considered to properly implement AM within production companies according to the existing literature and standards are identified and they are: two dimensions - i.e., the asset life cycle (Beginning of Life, Middle of Life, End of Life phases) and the hierarchical level of the asset-control activities (strategic level, tactical level, operational level) - and four funding principles - i.e., life cycle orientation, system orientation, risk orientation and asset-centric orientation. An empirical investigation is then developed through multiple case-study involving eight production companies in Italy, in order to assess the level of orientation towards those funding principles within production companies as it is nowadays, in order to identify existing gaps and areas for improvements

An ontological modelling of multi-attribute criticality analysis to guide Prognostics and Health Management program development

Digital technologies are becoming more pervasive and industrial companies are exploiting them to enhance the potentialities related to Prognostics and Health Management (PHM). Indeed, PHM allows to evaluate the health state of the physical assets as well as to predict their future behaviour. To be effective in developing PHM programs, the most critical assets should be identified so to direct modelling efforts. Several techniques could be adopted to evaluate asset criticality; in industrial practice, criticality analysis is amongst the most utilised. Despite the advancement of artificial intelligence for data analysis and predictions, the criticality analysis, which is built upon both quantitative and qualitative data, has not been improved accordingly. It is the goal of this work to propose an ontological formalisation of a multi-attribute criticality analysis in order to i) fix the semantics behind the terms involved in the analysis, ii) standardize and uniform the way criticality analysis is performed, and iii) take advantage of the reasoning capabilities to automatically evaluate asset criticality and associate a suitable maintenance strategy. The developed ontology, called MOCA, is tested in a food company featuring a global footprint. The application shows that MOCA can accomplish the prefixed goals; specifically, high priority assets towards which direct PHM programs are identified. In the long run, ontologies could serve as a unique knowledge base that integrate multiple data and information across facilities in a consistent way. As such, they will enable advanced analytics to take place, allowing to move towards cognitive Cyber Physical Systems that enhance business performance for companies spread worldwide

On the relationship of spare parts inventory policies with Total Cost of Ownership of industrial assets

This work presents the results of a simulation study aimed at characterizing the relationship of spare parts inventory policies with Total Cost of Ownership of industrial plants. The study is motivated by the expectation that several spare parts management decisions cause important effects in the long-term profitability of industrial assets. Such decisions may regard, amongst the others, the initial provisioning, the inventory policy and the end-of-life acquisition. This work adopts simulation to test a specific spare parts inventory policy, i.e. a continuous review system, with the final purpose to assess its effects on the operational performance of an industrial comminution plant and, consequently, on its Total Cost of Ownership

An Inventory-Location Modeling Structure for Spare Parts Supply Chain Network Design Problems in Industrial End-User Sites

Traditional literature on Spare Parts Management from industrial end-user sites has not focused on the underlying Supply Chain Network. Thus, this paper analyzes the relevance of integrating Supply Chain Network design with traditional Spare Parts Management. With this aim, the paper proposes a network optimization modeling structure, with simultaneous decisions for warehouse locations and inventory control, allowing to optimize the Spare Parts Supply Chain Network costs.The model is specified for three traditional and commonly used Inventory Control Policies suitable for a variety of Spare Parts (i.e., (s, Q), (R, s, S) and (S-1, S)). The proposed integrated approach yields Spare Parts Supply Chain system performance improvements

A framework to embed Asset Management in production companies

open2noThe aim of this article is to investigate how to embed asset management in production companies. A framework is defined based on literature analysis and focus groups findings, in which the fundamentals to guide the integration of asset management are systematized. Two dimensions are identified—the asset life cycle and the hierarchical level of the asset-control activities—and four founding principles—life cycle, system, risk and asset-centric orientation—as levers to integrate asset management within an industrial organization. An empirical investigation is then developed through multiple case study involving eight production companies in Italy, with the purpose to map the elements of the framework against the real mechanisms in the industrial practices. This allows testing the relevance of the framework itself and demonstrating its potential as a support for companies to implement gap analysis on asset management practices. Empirical evidence on current practices of asset management in production companies is contextually unveiled.openRoda, Irene*; Macchi, MarcoRoda, Irene; Macchi, Marc

Diagnóstico de salud comunitaria de Alcanar

Introducción: El diagnóstico de salud es el resultado de un estudio epidemiológico de una comunidad, a partir de una descripción y análisis de las necesidades de salud. Es decir, es la medición del estado de salud de la población en un momento determinado mediante indicadores de salud. Objetivos: Generales: Analizar la situación de salud e identificar las necesidades poblacionales reconocidas. Secundarios: Identificar los elementos necesario que permitan la elaboración del diagnóstico de salud de Alcanar. Conocer los recursos que dispone el municipio para satisfacer las necesidades poblacionales. Material y métodos: Estudio descriptivo transversal. La recogida de datos se realizó en distintas instituciones de la población y de las bases de datos estadísticas de la Generalitat de Catalunya. Se realizó una revisión de la literatura con el fin de localizar la mayor evidencia relacionada con las actividades planteadas. Resultados: Los resultados en los indicadores de niveles de salud, de condiciones sanitarias, de recursos y actividades, indicadores económico-sociales, educativos y socio-económicos, de educación, del estado nutricional de la población, sobre saneamiento y urbanismo, son óptimos. Las enfermedades de más prevalencia son la HTA, obesidad, DMT2, seguidas del Alzheimer con 1.76%. Discusión: La necesidad pertinente de intervención fue la atención a los enfermos de Alzheimer, no por ser la enfermedad con más prevalencia, sino por no presentar un plan de intervención, porque afecta tanto al paciente como al cuidador y ha aumentado su incidencia. Las intervenciones van dirigidas a disminuir el deterioro cognitivo, físico y aliviar los problemas conductuales

Advances in Production Management Systems: Issues, Trends, and Vision Towards 2030

Since its inception in 1978, the IFIP Working Group (WG) 5.7 on Advances in Production Management Systems (APMS) has played an active role in the fields of production and production management. The Working Group has focused on the conception, development, strategies, frameworks, architectures, processes, methods, and tools needed for the advancement of both fields. The associated standards created by the IFIP WG5.7 have always been impacted by the latest developments of scientific rigour, academic research, and industrial practices. The most recent of those developments involves the Fourth Industrial Revolution, which is having remarkable (r)evolutionary and disruptive changes in both the fields and the standards. These changes are triggered by the fusion of advanced operational and informational technologies, innovative operating and business models, as well as social and environmental pressures for more sustainable production systems. This chapter reviews past, current, and future issues and trends to establish a coherent vision and research agenda for the IFIP WG5.7 and its international community. The chapter covers a wide range of production aspects and resources required to design, engineer, and manage the next generation of sustainable and smart production systems.acceptedVersio

Lack of SARS-CoV-2 RNA environmental contamination in a tertiary referral hospital for infectious diseases in Northern Italy

none140noNAnoneColaneri M.; Seminari E.; Piralla A.; Zuccaro V.; Di Filippo A.; Baldanti F.; Bruno R.; Mondelli M.U.; Brunetti E.; Di Matteo A.; Maiocchi L.; Pagnucco L.; Mariani B.; Ludovisi S.; Lissandrin R.; Parisi A.; Sacchi P.; Patruno S.F.A.; Michelone G.; Gulminetti R.; Zanaboni D.; Novati S.; Maserati R.; Orsolini P.; Vecchia M.; Sciarra M.; Asperges E.; Sambo M.; Biscarini S.; Lupi M.; Roda S.; Chiara Pieri T.; Gallazzi I.; Sachs M.; Valsecchi P.; Perlini S.; Alfano C.; Bonzano M.; Briganti F.; Crescenzi G.; Giulia Falchi A.; Guarnone R.; Guglielmana B.; Maggi E.; Martino I.; Pettenazza P.; Pioli di Marco S.; Quaglia F.; Sabena A.; Salinaro F.; Speciale F.; Zunino I.; De Lorenzo M.; Secco G.; Dimitry L.; Cappa G.; Maisak I.; Chiodi B.; Sciarrini M.; Barcella B.; Resta F.; Moroni L.; Vezzoni G.; Scattaglia L.; Boscolo E.; Zattera C.; Michele Fidel T.; Vincenzo C.; Vignaroli D.; Bazzini M.; Iotti G.; Mojoli F.; Belliato M.; Perotti L.; Mongodi S.; Tavazzi G.; Marseglia G.; Licari A.; Brambilla I.; Daniela B.; Antonella B.; Patrizia C.; Giulia C.; Giuditta C.; Marta C.; Rossana D.; Milena F.; Bianca M.; Roberta M.; Enza M.; Stefania P.; Maurizio P.; Elena P.; Antonio P.; Francesca R.; Antonella S.; Maurizio Z.; Guy A.; Laura B.; Ermanna C.; Giuliana C.; Luca D.; Gabriella F.; Gabriella G.; Alessia G.; Viviana L.; Claudia L.; Valentina M.; Simona P.; Marta P.; Alice B.; Giacomo C.; Irene C.; Alfonso C.; Di Martino R.; Di Napoli A.; Alessandro F.; Guglielmo F.; Loretta F.; Federica G.; Alessandra M.; Federica N.; Giacomo R.; Beatrice R.; Maria S.I.; Monica T.; Nepita Edoardo V.; Calvi M.; Tizzoni M.; Nicora C.; Triarico A.; Petronella V.; Marena C.; Muzzi A.; Lago P.; Comandatore F.; Bissignandi G.; Gaiarsa S.; Rettani M.; Bandi C.Colaneri, M.; Seminari, E.; Piralla, A.; Zuccaro, V.; Di Filippo, A.; Baldanti, F.; Bruno, R.; Mondelli, M. U.; Brunetti, E.; Di Matteo, A.; Maiocchi, L.; Pagnucco, L.; Mariani, B.; Ludovisi, S.; Lissandrin, R.; Parisi, A.; Sacchi, P.; Patruno, S. F. A.; Michelone, G.; Gulminetti, R.; Zanaboni, D.; Novati, S.; Maserati, R.; Orsolini, P.; Vecchia, M.; Sciarra, M.; Asperges, E.; Sambo, M.; Biscarini, S.; Lupi, M.; Roda, S.; Chiara Pieri, T.; Gallazzi, I.; Sachs, M.; Valsecchi, P.; Perlini, S.; Alfano, C.; Bonzano, M.; Briganti, F.; Crescenzi, G.; Giulia Falchi, A.; Guarnone, R.; Guglielmana, B.; Maggi, E.; Martino, I.; Pettenazza, P.; Pioli di Marco, S.; Quaglia, F.; Sabena, A.; Salinaro, F.; Speciale, F.; Zunino, I.; De Lorenzo, M.; Secco, G.; Dimitry, L.; Cappa, G.; Maisak, I.; Chiodi, B.; Sciarrini, M.; Barcella, B.; Resta, F.; Moroni, L.; Vezzoni, G.; Scattaglia, L.; Boscolo, E.; Zattera, C.; Michele Fidel, T.; Vincenzo, C.; Vignaroli, D.; Bazzini, M.; Iotti, G.; Mojoli, F.; Belliato, M.; Perotti, L.; Mongodi, S.; Tavazzi, G.; Marseglia, G.; Licari, A.; Brambilla, I.; Daniela, B.; Antonella, B.; Patrizia, C.; Giulia, C.; Giuditta, C.; Marta, C.; D'Alterio, Rossana; Milena, F.; Bianca, M.; Roberta, M.; Enza, M.; Stefania, P.; Maurizio, P.; Elena, P.; Antonio, P.; Francesca, R.; Antonella, S.; Maurizio, Z.; Guy, A.; Laura, B.; Ermanna, C.; Giuliana, C.; Luca, D.; Gabriella, F.; Gabriella, G.; Alessia, G.; Viviana, L.; Meisina, Claudia; Valentina, M.; Simona, P.; Marta, P.; Alice, B.; Giacomo, C.; Irene, C.; Alfonso, C.; Di Martino, R.; Di Napoli, A.; Alessandro, F.; Guglielmo, F.; Loretta, F.; Federica, G.; Albertini, Alessandra; Federica, N.; Giacomo, R.; Beatrice, R.; Maria, S. I.; Monica, T.; Nepita Edoardo, V.; Calvi, M.; Tizzoni, M.; Nicora, C.; Triarico, A.; Petronella, V.; Marena, C.; Muzzi, A.; Lago, P.; Comandatore, F.; Bissignandi, G.; Gaiarsa, S.; Rettani, M.; Bandi, C