1,721,204 research outputs found
Knowledge Registration Module Design for Enterprise Resilience Enhancement
Full text link[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
Proceso de Selección de Socios en una Red Colaborativa
Full text linkAndres, B.; Poler, R.; Ferriols Martínez, FJ. (2015). Proceso de Selección de Socios en una Red Colaborativa. DYNA Ingeniería e Industria. 90(1):131-131. doi:10.6036/7185S13113190
Modelling the Strategies Alignment Process in the Collaborative Network Context
No full text[EN] A model to deal with the strategies alignment process, in the collaborative network (CN) context, is proposed. The main aim is to support the decision making of identifying which strategies to activate within the network in order to be aligned. This model provides a global view of all the strategies formulated in the CN, in order to identify those ones that have higher levels of alignment. The strategies alignment model is applied in an illustrative example.Andres, B.; Poler, R. (2017). Modelling the Strategies Alignment Process in the Collaborative Network Context. Engineering Systems and Networks. 33-41. https://doi.org/10.1007/978-3-319-45748-2_4S3341Andres B, Macedo P, Camarinha-Matos LM, Poler R (2014) Achieving coherence between strategies and value systems in collaborative networks. IFIP Adv Inf Commun Technol 434:261–272Andres B, Poler R (2014a) Computing the strategies alignment in collaborative networks, pp 29–40. In: Mertins K, Bénaben F, Poler R, Bourrières J-P (eds) Enterprise interoperability VI. Springer International Publishing, Cham. Retrieved 16 Dec 2014 ( http://link.springer.com/10.1007/978–3-319-04948-9 )Andres B, Poler R (2014b) Identifying the strategies to be activated for optimising the performance in collaborative networks. In: The global reach of industrial engineering. Enhancing synergies in a collaborative environment. 8th international conference on industrial engineering and industrial management XX, international conference on industrial engineering and operations management, p 25Andres B, Poler R (2015) Models, guidelines and tools for the integration of collaborative processes in non-hierarchical manufacturing networks: a review. Int J Comput Integr Manuf 29(2):166–201AnyLogic (2015) AnyLogic. Retrieved ( http://www.anylogic.com/ )Camarinha-Matos LM, Afsarmanesh H (2005) Collaborative networks: a new scientific discipline. J Intell Manuf 16(4–5):439–452Crnkovic GD (2010) Constructive research and info-computational knowledge generation. In Magnani L, Carnielli W, Pizzi C (eds) Studies in computational intelligence. Model-based reasoning in science and technology. Abduction, logic, and computational discovery. Springer, Berlin, pp 359–380Kasanen E, Lukka K, Siitonen A (1993) The constructive approach in management accounting research. J Manage Account Res 5:243–26
Robotics Platforms for Internal Logistics: A Technical Architecture Proposal
Full text link[EN] This paper presents a reference technical architecture model for robotic platforms specifically designed for internal logistics applications. The reference application is based in industry standards like ISA/IEC 62443 and the Industrial IoT Reference Architecture (IIRA).This research has been funded by the Agència Valenciana de la Innovació, under the program
Projectes Estratègics en Cooperació 2021 (UPV->INNEST/2021/226). Action co-financed by the
European Union through the European Regional Development Fund (ERDF) Operational Programme
for the Valencia Region 2014-2020.Fraile Gil, F.; Poler, R. (2022). Robotics Platforms for Internal Logistics: A Technical Architecture Proposal. CEUR Workshop Proceedings. 3214:1-6. https://riunet.upv.es/handle/10251/195420S16321
Enhancing Enterprise Resilience through Enterprise Collaboration
Full text linkCurrent environments, characterised by turbulent changes and unforeseen events, consider resilience as a decisive aspect for enterprises to create advantages over less adaptive competitors. Furthermore, the consideration of establishing collaborative processes among partners of the same network is a key issue to help enterprises to deal with changeable environments. In this paper both concepts, resilience and collaborative processes establishment, are associated in order to help organisations to handle disruptive events. The research objective is to identify collaborative processes whose positive influences assist enterprises against disruptions, reducing the effects of disturbances in dynamic environments.Andres, B.; Poler R. (2013). Enhancing Enterprise Resilience through Enterprise Collaboration. IFAC papers online. 7(1):688-693. doi:10.3182/20130619-3-RU-3018.00283S6886937
Research on Collaborative Processes in Non Hierarchical Manufacturing Networks
Full text linkCollaborative networks research has increased over the last years due
to the advantages experienced by the enterprises that establish collaboration. In
this paper, a set of relevant collaborative processes are identified in the
literature and analysed considering their specific application in non-hierarchical
manufacturing networks (NHN). Besides, collaboration within networked
partners is enhanced through designing a roadmap to deal with the migration
path towards collaborative processes establishment. Currently, the research aim
is focused on modelling the network and the collaborative processes,
established within the partners, through a mathematical model that identifies the
collaboration objects. In this context, experts will be able to promote the
establishment of collaboration, analyse the processes performed within a
network and consider their redesign/design towards collaboration. The model
would identify the objects of collaboration, in order to be analysed and thus
serve as a tool to improve the enterprises performance and, consequently, the
network performance.Andrés, B.; Poler, R. (2014). Research on Collaborative Processes in Non Hierarchical Manufacturing Networks. IFIP Advances in information and communication technology. 423:21-28. doi:10.1007/978-3-642-54734-8_3S2128423Camarinha-Matos, L.M., Afsarmanesh, H.: Collaborative Networks: A New Scientific Discipline. Journal of Intelligent Manufacturing 16(4), 439–452 (2005)Camarinha-Matos, L.M., Afsarmanesh, H., Galeano, N., Molina, A.: Collaborative Networked Organizations – Concepts and Practice in Manufacturing Enterprises. Computers and Industrial Engineering 57(1), 46–60 (2009)Andres, B., Poler, R.: Relevant problems in collaborative processes of non-hierarchical manufacturing networks. J. Industrial Engineering and Management 6(3), 723–773 (2013)Andrés, B., Poler, R.: A Method to Quantify the Power Distribution in Collaborative Non-hierarchical Networks. In: Camarinha-Matos, L.M., Scherer, R.J. (eds.) PRO-VE 2013. IFIP AICT, vol. 408, pp. 660–669. Springer, Heidelberg (2013)Stadtler, H.: A framework for collaborative planning and state-of-the-art. Or Spectrum 31(1), 5–30 (2009)Andres, B.: Collaborative Processes Analysis in Non-Hierarchical Manufacturing Networks. In: Ortiz, A. (ed.) 6th International Conference on Interoperability for Enterprise Systems and Applications. Doctoral Symposium, pp. 13–22. Editorial Universitat Politècnica de València (2012)Poler, R., Carneiro, L.M., Jasinski, T., Zolghadri, M., Pedrazzoli, P.: Intelligent Non-hierarchical Manufacturing Networks, 448 p. Iste, Wisley (2013)European Commission. Work Programme. Cooperation Theme 4 Nanosciences, Nanotechnologies, Materials and New Production Technologies – NMP (2008), http://ec.europa.eu/research/participants/portal/download?docId=22687Andrés, B., Poler, R.: Methodology to Identify SMEs Needs of Internationalised and Collaborative Networks. In: Emmanouilidis, C., Taisch, M., Kiritsis, D. (eds.) Advances in Production Management Systems, Part II. IFIP AICT, vol. 398, pp. 463–470. Springer, Heidelberg (2013)Andres, B., Poler, R.: A Methodology to Share Profits and Costs in Non-Hierarchical Networks. In: Prado-Prado, J.C., García-Arca, J. (eds.) Annals of Industrial Engineering, Springer, London (in press, 2014)Andres, B., Poler, R., Herández, J.E.: An operational planning solution for SME’s in collaborative and non-hierarchical networks. In: Hernández, J.E., Liu, S., Delibǎic’, B., Zaraté, P., Dargam, F., Ribeiro, R. (eds.) Logic of Programs 1983. LNCS, vol. 164, pp. 46–56. Springer, Heidelberg (1984)Andrés, B., Poler, R.: A Roadmap Focused on SMEs Decided to Participate in Collaborative Non-Hierarchical Networks. In: Camarinha-Matos, L.M., Xu, L., Afsarmanesh, H. (eds.) Collaborative Networks in the Internet of Services. IFIP AICT, vol. 380, pp. 397–407. Springer, Heidelberg (2012)Collective Awareness Platforms for Sustainability and Social Innovation, https://ec.europa.eu/digital-agenda/en/collective-awareness-platform
A review of approaches and tools for collaborative networks simulation
Full text linkCollaborative networks (CN) are characterised by being complex systems, highlighting the need of considering simulation approaches to support the resolution of CN models. Simulation approaches are seen as a supporting tool to analyse the formal model of a supply network. Three relevant simulation approaches are identified for its application in the context of CN models: Discrete Events Simulation, System Dynamics and Agent Based Simulation. Each simulation approach is briefly described and compared with each other, according to a group of relevant features, with the main aim of aiding the modellers in the task of selecting the most appropriate simulation approach to address the modelling process in the context of CN. Besides, a group of commercial and academic tools are listed for each simulation approach.Andres, B.; Poler, R. (2016). A review of approaches and tools for collaborative networks simulation. Brazilian Journal of Operations and Production Management. 13(3):232-242. doi:10.14488/BJOPM.2016.v13.n3.a1S23224213
InterDiciplinary Education Agenda project: Improving innovation through academy-industry collaboration
Full text linkResearch in collaboration has increased over the last years due to the benefits associated when two or more entities collaborate. Although this research has been more focused on enterprises, collaboration between Academy-Industry is also a current research key factor, especially to carry on and improve innovation activities. Academy-Industry collaboration allows that the pioneering creativity emerged in the Academy is complemented by its implementation in industries. In the light of this, this paper introduces the IDEA project, whose main aim is to handle the knowledge triangle of Education-Research-Innovation and promote the development of Academia-Industry partnerships. The paper specifically focuses on the contribution of one of the academic partners of the project, the Universitat Politècnica de València (UPV), defining its knowledge and technology transfer models used promote Academia-Industry partnerships.Andres, B.; Poler, R. (2014). InterDiciplinary Education Agenda project: Improving innovation through academy-industry collaboration. ICERI Proceedings. 3007-3015. https://riunet.upv.es/handle/10251/66298S3007301
Applying automatic learning algorithms to production order scheduling in workshops: a review of recent literature
No full text[ES] El propósito de este artículo es identificar y analizar los algoritmos de aprendizaje automático propuestos recientemente, para dar solución al problema de programación y secuenciación de órdenes de producción en talleres de trabajo, a través de una revisión sistemática de las últimas publicaciones realizadas en este campo. Este estudio pretende proporcionar a los investigadores un punto de partida para la selección de los algoritmos de aprendizaje automático más prometedores para la solución de este tipo de problema, identificar las áreas de investigación más interesantes en la actualidad y proponer líneas de investigación futuras.Pérez-Cubero, E.; Poler, R. (2020). Aplicación de algoritmos de aprendizaje automático a la programación de órdenes de producción en talleres de trabajo: una revisión de la literatura reciente. Direccion y Organizacion. (72):82-94. https://doi.org/10.37610/dyo.v0i72.588S82947
Decentralised replenishment-production planning optimisation using negotiation rules in a collaborative network
No full text[EN] This paper proposes a decentralised planning optimisation approach by using mathematical programming and negotiation mechanisms in a collaborative network. Two partners addressing the replenishment and production stages are considered. Concretely, production scheduling plans and material requirement plans, modelled by two mixed-integer programming models, are modified according to the established negotiation rules between the two collaborative partners. The main contribution of this paper is the improvement of the replenishment and production plans upstream of the network; proposing a decentralised collaborative planning process. The validation of the proposal is done using data based on an automotive industry.“The research leading to these results is in the frame of the “Cloud Collaborative Manufacturing Networks” (C2NET) project which has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement
No. 636909Andres, B.; Poler, R.; Mula, J.; Díaz-Madroñero Boluda, FM.; Sanchis, R. (2016). Decentralised replenishment-production planning optimisation using negotiation rules in a collaborative network. IFIP Advances in Information and Communication Technology. 480:228-240. https://doi.org/10.1007/978-3-319-45390-3_20S228240480Andres, B., Poler, R.: Dealing with the alignment of strategies within the collaborative networked partners. IFIP Int. Fed. Inf. Process 450, 13–21 (2015)Gupta, A., Maranas, C.D.: Managing demand uncertainty in supply chain planning. Comput. Chem. Eng. 27, 1219–1227 (2003)Gupta, A., Maranas, C.D.: A hierarchical Lagrangean relaxation procedure for solving midterm planning problems. Ind. Eng. Chem. Res. 38, 1937–1947 (1999)Andres, B., Poler, R., Hernández, J.E.: An operational planning solution for smes in collaborative and non-hierarchical networks. Lect. Notes Bus. Inf. Process 164, 46–56 (2013)Camarinha-Matos, L.M., Afsarmanesh, H.: Collaborative networks: a new scientific discipline. J. Intell. Manuf. 16, 439–452 (2005)Kasanen, E., Lukka, K., Siitonen, A.: The constructive approach in management accounting research. J. Manag. Account. Res. 5, 243–264 (1993)Dudek, G., Stadtler, H.: Negotiation-based collaborative planning between supply chains partners. Eur. J. Oper. Res. 163, 668–687 (2005)Jung, H., Chen, F., Jeong, B.: Decentralized supply chain planning framework for third party logistics partnership. Comput. Ind. Eng. 55, 348–364 (2008)Schneeweiss, S.: Distributed decision making in supply chain management. Int. J. Prod. Econ. 84, 71–83 (2003)Alemany, M.M.E., Alarcón, F., Lario, F.C., Boj, J.J.: An application to support the temporal and spatial distributed decision-making process in supply chain collaborative planning. Comput. Ind. 62, 519–540 (2011)Pibernik, R., Sucky, E.: An approach to inter-domain master planning in supply chains. Int. J. Prod. Econ. 108, 200–212 (2007)Mula, J., Peidro, D., Poler, R.: Optimization models for supply chain production planning under fuzziness. Stud. Fuzziness Soft Comput. 31, 397–422 (2014)Hernández, J.E., Lyons, A.C., Mula, J., Poler, R., Ismail, J.: Supporting the collaborative decision-making process in an automotive supply chain with a multi-agent system. Prod. Plan. Control 25, 662–678 (2014)Mula, J., Poler, R., Garcia, J.P.: MRP with flexible constraints: a fuzzy mathematical programming approach. Fuzzy Sets Syst. 157, 74–97 (2006)Andres, B., Mula, J., Diaz Madroñero, F.M., Poler, R. Sanchis, R.: Capacitated lot-sizing and scheduling problem for second-tier suppliers in the automotive sector. In: CIO-ICIEOM-IISE-AIM International Joint Conference (IJC2016), 13–15 July 2016. TECNUN-School of Engineering, San Sebastian, Spain (2016). Forthcomin
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