895 research outputs found
Grandezze della citta di Roma antiche & moderne : come al presente si ritrouano adornate con bellissime figure di rame /
Pagination on rectos only, final numeral unclear. Also 53 numbered 55, 55 numbered 57. Captioned ill. on rectos facing text.Dedication by Marcucci p. [3]: "... composte dal Signor Giulio Mari ..."Historiated engraved t.p.Mode of access: Internet.Leaf 32 shows half-page cancel.Library's copy has spine title: Crulli. Grandeza di Roma. 1625
The Ripple Effect within Supply Chain Resilience: A Sectoral and Modular Study
Questo lavoro di ricerca ha lo scopo di contribuire allo studio accademico della Supply Chain Resilience, attraverso lo studio delle relazioni causali che accorrono tra i vari fattori che influenzano la Resilienza di una data Supply Chain. Queste connessioni causali, infatti, possono creare un effetto domino: un disturbo, invece di rimanere localizzato in un singolo attore della Supply Chain, può propagarsi a valle o a monte, influenzando le prestazioni dell'intera Supply Chain. Tale impatto potrebbe includere, ad esempio, minori entrate, ritardi nelle consegne, perdita di quote di mercato e di reputazione.
Lo studio proposto offre un approccio modulare: attraverso le Fuzzy Cognitive Maps, verranno infatti studiate queste connessioni, e saranno applicate a casi studio differenti: uno riguardo il settore degli elettrodomestici, e uno nel settore della moda.
Infine, verrà illustrato il Supply Chain Resilience Triangle: uno strumento semplice e intuitivo per misurare le prestazioni di una Supply Chain durante una perturbazione, in ognuna delle sue diverse fasi.This research work aims to contribute to the academic study of Supply Chain Resilience, through the study of the causal relationships between the various factors that influence the Resilience of a Supply Chain. These causal connections, in fact, can create a ripple effect: a disturbance, instead of remaining localized or contained in a single player of the Supply Chain, can propagate downstream or upstream, influencing the performance of the entire Supply Chain. Such an impact could include, for example, lower revenues, delays in deliveries, loss of market share and reputation.
The proposed study offers a modular approach: these connections are studied through the Fuzzy Cognitive Maps, and this methodology is applied to different case studies: first in the household appliances sector, and second in the fashion sector.
Finally, the Supply Chain Resilience Triangle is shown: a simple and intuitive tool to measure the performance of a Supply Chain during a disturbance, in each of its different phases
Supply Chain Resilience Triangle: The Study and Development of a Framework
Supply Chain Resilience has been broadly studied during the last decade, focusing the research on many aspects of Supply Chain performance. Consequently, different definitions of Supply Chain Resilience have been developed by the research community, drawing inspiration also from other fields of study such as ecology, sociology, psychology, economy et al. This way, the definitions so far developed in the extant literature are therefore very heterogeneous, and many authors have pointed out a lack of consensus in this field of analysis. The aim of this research is to find common points between these definitions, through the development of a framework of study: the Resilience Triangle. The Resilience Triangle is a tool developed in the field of civil engineering, with the objective of modeling the loss of resilience of a given structure during and after the occurrence of a disruption such as an earthquake. The Resilience Triangle is a simple yet powerful tool: in our opinion, it can summarize all the features that authors have captured in the Supply Chain Resilience definitions over the years. This research intends to recapitulate within this framework all these heterogeneities in Supply Chain Resilience research. After collecting a various number of Supply Chain Resilience definitions present in the extant literature, the methodology approach provides a taxonomy step with the scope of collecting and analyzing all the data gathered. The next step provides the comparison of the data obtained with the plotting of a disruption profile, in order to contextualize the Resilience Triangle in the Supply Chain context. The tool and the results developed in this research will allow to lay the foundation for future Supply Chain Resilience modeling and measurement work
Fine morphology of the myrmecophilous larva of Paussus kannegieteri (Coleoptera: Carabidae: Paussinae: Paussini). Corresponding author
FIGURES 13–18. Paussus kannegieteri third instar larva: 13, thorax, left lateral view; 14, thorax, dorsal view; 15, mesothoracic spiracle; 16, metathoracic spiracle-like structure; 17, mesothoracic leg, anterolateral view; 18, apex of metathoracic leg with lanceolate setae, posterolateral view. CO = coxa, ls = lanceolate setae, m = membrane, ME = mesonotum, MT = metanotum, pe = peritreme, PR = pronotum, un = claw. Scale bars: Figs. 13–14 = 500 µm; Fig. 15 = 10 µm; Fig. 16 = 20 µm; Fig. 17 = 200 µm; Fig. 18 = 50 µm.Published as part of Giulio, Andrea Di, 2008, Fine morphology of the myrmecophilous larva of Paussus kannegieteri (Coleoptera: Carabidae: Paussinae: Paussini), pp. 37-50 in Zootaxa 1741 on page 44, DOI: 10.5281/zenodo.18152
A Strategies Alignment Approach to Manage Disruptive Events in Collaborative Networks
[EN] Enterprises of the supply chain are currently embedded in dynamic and turbulent environments, having to deal with the appearance of disruptive events. When an enterprise is affected by a disruptive event, the consequences of the disruption not only impact in the enterprise itself, but also influences on the other partners of the network to which it belongs. Thus, disruptive events exceed the capability of individual actors, impacting on the network performance. Consequently, network partners have to collaboratively make decisions to soften the negative impacts on the performance. In this regard, after a disruption takes place, network enterprises should be aware of activating a set of sustainable and resilience strategies that attenuate the performance loss and reduce the disruption recovery time. Nevertheless, the diverse nature of disruptions means that a wide range of varied and sometimes contradictory strategies can be formulated, resulting in conflict situations among the collaborative network (CN) partners. The current paper proposes an approach that makes it possible to collaboratively manage the strategies to activate when a disruptive event occurs, so that the selected strategies are aligned. The strategies alignment approach, proposed in the paper, makes it possible to select those strategies that have a positive impact, or a minimum negative impact, on the objectives defined, not only in the enterprise itself, but also in the objectives defined by the rest of CN partners. The alignment of strategies makes it possible to reduce the performance level loss when a disruption takes place. Thus, the strategies alignment approach aims at activating those strategies that maximize the performance of the CN, achieving levels of performance equal or higher than the levels previous to the disruption, limiting the adverse effects produced by the disruptive events, and contributing to a more sustainable-resilient CN. Finally, in order to validate the proposal, a case study is presented. The proposed model is validated to deal with a drop in demand due to a political embargo, in a textile CN.This research was funded by Ayuda Vali+D Formacion-Andres Navarro (ACIF/2012/006). (16/04/12-16/04/15) GENERALITAT VALENCIANA.Andres, B.; Marcucci, G. (2020). A Strategies Alignment Approach to Manage Disruptive Events in Collaborative Networks. Sustainability. 12(7):1-23. https://doi.org/10.3390/su12072641S123127Camarinha-Matos, L. M., & Afsarmanesh, H. (2005). Collaborative networks: a new scientific discipline. Journal of Intelligent Manufacturing, 16(4-5), 439-452. doi:10.1007/s10845-005-1656-3Christopher, M., & Peck, H. (2004). Building the Resilient Supply Chain. The International Journal of Logistics Management, 15(2), 1-14. doi:10.1108/09574090410700275Andres, B., & Poler, R. (2016). A decision support system for the collaborative selection of strategies in enterprise networks. Decision Support Systems, 91, 113-123. doi:10.1016/j.dss.2016.08.005Bevilacqua, M., Ciarapica, F. E., Marcucci, G., & Mazzuto, G. (2019). Fuzzy cognitive maps approach for analysing the domino effect of factors affecting supply chain resilience: a fashion industry case study. International Journal of Production Research, 58(20), 6370-6398. doi:10.1080/00207543.2019.1680893Chorn, N. H. (1991). The «Alignment» Theory: Creating Strategic Fit. Management Decision, 29(1). doi:10.1108/eum0000000000066Snyder, L. V., Atan, Z., Peng, P., Rong, Y., Schmitt, A. J., & Sinsoysal, B. (2010). OR/MS Models for Supply Chain Disruptions: A Review. SSRN Electronic Journal. doi:10.2139/ssrn.1689882Egbelakin, T., Poshdar, M., Walsh, K. Q., Ingham, J., Johnston, D., Becker, J., … Rasheed, E. (2018). Preparation of small to medium-sized enterprises to earthquake disaster. Bulletin of the New Zealand Society for Earthquake Engineering, 51(4), 171-182. doi:10.5459/bnzsee.51.4.171-182Kimura, N., Hoshino, S., & Onitsuka, K. (2019). Analyzing the Association Between Disaster Risk Preparedness and Environmental Consciousness of Small and Medium-Sized Enterprises: The Case of Sukagawa City, Fukushima Prefecture, Japan. Journal of Disaster Research, 14(8), 1047-1058. doi:10.20965/jdr.2019.p1047Ivanov, D. (2017). Simulation-based ripple effect modelling in the supply chain. International Journal of Production Research, 55(7), 2083-2101. doi:10.1080/00207543.2016.1275873Morrish, S. C., & Jones, R. (2020). Post-disaster business recovery: An entrepreneurial marketing perspective. Journal of Business Research, 113, 83-92. doi:10.1016/j.jbusres.2019.03.041Nair, A., & Vidal, J. M. (2011). Supply network topology and robustness against disruptions – an investigation using multi-agent model. International Journal of Production Research, 49(5), 1391-1404. doi:10.1080/00207543.2010.518744Kim, Y., Chen, Y.-S., & Linderman, K. (2014). Supply network disruption and resilience: A network structural perspective. Journal of Operations Management, 33-34(1), 43-59. doi:10.1016/j.jom.2014.10.006Kamalahmadi, M., & Parast, M. M. (2016). A review of the literature on the principles of enterprise and supply chain resilience: Major findings and directions for future research. International Journal of Production Economics, 171, 116-133. doi:10.1016/j.ijpe.2015.10.023Sanchis, R., & Poler, R. (2019). Enterprise Resilience Assessment—A Quantitative Approach. Sustainability, 11(16), 4327. doi:10.3390/su11164327Pei, J., & Liu, W. (2019). Evaluation of Chinese Enterprise Safety Production Resilience Based on a Combined Gray Relevancy and BP Neural Network Model. Sustainability, 11(16), 4321. doi:10.3390/su11164321Blackhurst *, J., Craighead, C. W., Elkins, D., & Handfield, R. B. (2005). An empirically derived agenda of critical research issues for managing supply-chain disruptions. International Journal of Production Research, 43(19), 4067-4081. doi:10.1080/00207540500151549Reyes Levalle, R., & Nof, S. Y. (2017). Resilience in supply networks: Definition, dimensions, and levels. Annual Reviews in Control, 43, 224-236. doi:10.1016/j.arcontrol.2017.02.003Rajesh, R. (2018). On sustainability, resilience, and the sustainable–resilient supply networks. Sustainable Production and Consumption, 15, 74-88. doi:10.1016/j.spc.2018.05.005Jabbarzadeh, A., Fahimnia, B., & Sabouhi, F. (2018). Resilient and sustainable supply chain design: sustainability analysis under disruption risks. International Journal of Production Research, 56(17), 5945-5968. doi:10.1080/00207543.2018.1461950Mari, S., Lee, Y., & Memon, M. (2014). Sustainable and Resilient Supply Chain Network Design under Disruption Risks. Sustainability, 6(10), 6666-6686. doi:10.3390/su6106666Kaur, H., & Singh, S. P. (2016). Sustainable procurement and logistics for disaster resilient supply chain. Annals of Operations Research, 283(1-2), 309-354. doi:10.1007/s10479-016-2374-2Mari, S., Lee, Y., & Memon, M. (2016). Sustainable and Resilient Garment Supply Chain Network Design with Fuzzy Multi-Objectives under Uncertainty. Sustainability, 8(10), 1038. doi:10.3390/su8101038Ivanov, D. (2017). Revealing interfaces of supply chain resilience and sustainability: a simulation study. International Journal of Production Research, 56(10), 3507-3523. doi:10.1080/00207543.2017.1343507Barthe-Delanoë, A.-M., Montarnal, A., Truptil, S., Bénaben, F., & Pingaud, H. (2018). Towards the agility of collaborative workflows through an event driven approach – Application to crisis management. International Journal of Disaster Risk Reduction, 28, 214-224. doi:10.1016/j.ijdrr.2018.02.029Zhu, W., & Wang, Z. (2018). The Collaborative Networks and Thematic Trends of Research on Purchasing and Supply Management for Environmental Sustainability: A Bibliometric Review. Sustainability, 10(5), 1510. doi:10.3390/su10051510Ivanov, D., Sokolov, B., Solovyeva, I., Dolgui, A., & Jie, F. (2016). Dynamic recovery policies for time-critical supply chains under conditions of ripple effect. International Journal of Production Research, 54(23), 7245-7258. doi:10.1080/00207543.2016.1161253Sanchis, R., & Poler, R. (2013). Definition of a framework to support strategic decisions to improve Enterprise Resilience. IFAC Proceedings Volumes, 46(9), 700-705. doi:10.3182/20130619-3-ru-3018.00600AnyLogichttps://www.anylogic.com/Abylaev, M., Pal, R., & Torstensson, H. (2014). Resilience challenges for textile enterprises in a transitional economy and regional trade perspective - a study of Kyrgyz conditions. International Journal of Supply Chain and Operations Resilience, 1(1), 54. doi:10.1504/ijscor.2014.065459Li, W.-Y., Chow, P.-S., Choi, T.-M., & Chan, H.-L. (2016). Supplier integration, green sustainability programs, and financial performance of fashion enterprises under global financial crisis. Journal of Cleaner Production, 135, 57-70. doi:10.1016/j.jclepro.2016.06.048Venkatesh, V. G., Rathi, S., & Patwa, S. (2015). Analysis on supply chain risks in Indian apparel retail chains and proposal of risk prioritization model using Interpretive structural modeling. Journal of Retailing and Consumer Services, 26, 153-167. doi:10.1016/j.jretconser.2015.06.001Yang, S., Song, Y., & Tong, S. (2017). Sustainable Retailing in the Fashion Industry: A Systematic Literature Review. Sustainability, 9(7), 1266. doi:10.3390/su9071266Sanctions against Russia and the Russian Embargo: Billions of Euros Damage to ‘Made in Italy’ Productshttp://www.europarl.europa.eu/doceo/document/E-8-2018-002225_EN.htm
Artificial Intelligence Within Food Processing Industry with the Scope of Enhancing Workplace Safety: A Literature Review
The pursuit of efficiency and productivity in the food processing industry often requires advanced machinery, complex procedures, and various potential hazards, highlighting the critical importance of workplace safety. Accidents and injuries not only can compromise the quality of products and the well-being of consumers, but it may also jeopardize the safety of workers. Within this framework, the utilization of artificial intelligence emerges as a promising solution to mitigate workplace hazards and create a safer environment for human operators. This research paper aims at providing a literature review in the present topic: how Artificial Intelligence can reduce workplace hazards in the food processing industry. Initially, the methodology employed for this literature review is outlined. Subsequently, an exhaustive examination is presented to generate bibliometric maps and tables that succinctly outline the principal scientific patterns within this subject matter, utilizing the assistance of the VosViewer software, which is also introduced
Progetti e modelli della basilica nella prima metà del Cinquecento
Nel ripercorrere le vicende storiche e documentarie relative alla progettazione del nuovo S. Pietro voluto da Giulio II si rintracciano numerose note sulla complessa vicenda che il diffuso interesse per l’argomento ha spesso portato a sintetizzare, alterandone il particolare, e sostanziale, significato documentario da ricostruire con attenzione per seguire l’evolversi di una vicenda tanto complessa.
Nel trattare del nuovo S. Pietro cinquecentesco non può poi prescindere dall’analisi delle volontà di Nicolò V, tramandateci da Manetti, sullo sviluppo futuro di Roma e soprattutto sull’idea che il pontefice aveva della basilica rinnovata. Per comprendere la fase preliminare che portò all’incarico per il progetto dato a Bramante e i disegni noti datati a quel periodo, si è ritenuto necessario partire proprio dalle istruzioni lasciate da Nicolò V; per le progettazioni successive, le attestazioni storiche, la complessa, e vasta, produzione editoriale sull’argomento, a volte discordante, messi tra loro a confronto e valutati criticamente, hanno permesso di dare un quadro generale delle fasi della progettazione della fabbrica di S. Pietro in Vaticano precedenti l’intervento di Michelangelo
A framework proposal for research into silver labour from a resilient perspective
[EN] Currently, enterprises face changes in the labour structure, determined by demographic factors. Population ageing in Europe is a relevant issue that has to be carefully analysed to be prepared and adapt European aspects and conditions to today¿s generation. In light of this, the present paper proposes a framework as a first attempt to support enterprises in their management of the workforce age increasing average from a resilient perspective. The framework was built based on three constituent capacities of enterprise resilience: preparedness, adaptive, recovery capacities. For each one, research macro-areas and enterprise features were identified. Further research lines will focus on validating this framework and on extending its development to include specific actions.This research was supported by the Programme to support the
academic career of the faculty of the Universitat Politècnica
de València 2019/2020 as part of Project Enterprise and
Supply Chain Resilience Enhancement granted to Dr.
Raquel Sanchis, who wishes to thank Università Politecnica
delle Marche, particularly the Department of Industrial
Engineering and Mathematical Science, for its support,
during her stay, to conduct the present research. This research
was also supported partly by the Spanish Ministry of Science,
Innovation and Universities Project entitled Optimisation of
zero-defects production technologies enabling supply chains
4.0 (CADS4.0) (RTI2018-101344-B-I00).Sanchis, R.; Mula, J.; Marcucci, G.; Bevilacqua, M. (2021). A Framework Proposal for Research into Silver Labour from a Resilient Perspective. IFAC-PapersOnLine. 54(1):930-935. https://doi.org/10.1016/j.ifacol.2021.08.189S93093554
Nicola Marcucci, Il dominio dell’ideale. Durkheim e la critica sociologica, Milano, Meltemi, 2023, pp. 240
Knowledge Registration Module Design for Enterprise Resilience Enhancement
[EN] The present situation characterized by the coronavirus pandemic has made businesses to be aware about the importance of being resilient to face undesirable impacts like the one caused by this pandemic. One of the constituent capacities of enterprise resilience is the recovery ability to bounce back and restore the operations after disruptions¿ occurrence. This paper is focused on the recovery perspective of enterprise resilience and its enhancement through knowledge registration. This research proposes the design of the Knowledge Registration Module addressed to the register of valuable information at different knowledge level with the main aim to reuse this piece of information to facilitate the recovery process when the same or an unexpected similar disruptive event occurs. Future research lines will be based on applying the knowledge approach to real cases to study the influence of knowledge management in the enhancement of enterprise resilience.This research was supported by the Programme to support the academic career of the faculty of the Universitat Politecnica de Valencia 2019/2020 as part of Project 'Enterprise and Supply Chain Resilience Enhancement' granted to Dr. Raquel Sanchis, who wishes to thank Universita Politecnica delle Marche, particularly the Department of Industrial Engineering and Mathematical Science, for its support, during her stay, to conduct the present research.Sanchis, R.; Marcucci, G.; Alarcón Valero, F.; Poler, R. (2021). Knowledge Registration Module Design for Enterprise Resilience Enhancement. IFAC-PapersOnLine. 54(1):1029-1034. https://doi.org/10.1016/j.ifacol.2021.08.122S1029103454
- …
