894 research outputs found
Research on Collaborative Processes in Non Hierarchical Manufacturing Networks
No full textCollaborative 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
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Friends, Family gather at Dr. Clotilde Garcia's home honoring Raul Morin (photograph)
No full textFriends, Family gather at Dr. Clotilde Garcia's home honoring Raul Morin. Author of the book “Among the Valient.
Raul Poler's Quick Files
No full textThe Quick Files feature was discontinued and it’s files were migrated into this Project on March 11, 2022. The file URL’s will still resolve properly, and the Quick Files logs are available in the Project’s Recent Activity
Raul Poler's Quick Files
No full textThe Quick Files feature was discontinued and it’s files were migrated into this Project on March 11, 2022. The file URL’s will still resolve properly, and the Quick Files logs are available in the Project’s Recent Activity
Supporting the Strategies Alignment Process in Collaborative Networks
No full text[EN] The establishment of collaborative relationships with the network partners provides them important advantages, such as competitiveness and agility, when responding to the current rapid market evolutions. Nonetheless, the partic‐ ipation in collaborative networks becomes a complex process that starts with the alignment of all the enterprises objectives and strategies. Smart systems and approaches are needed in order support collaborative partners to deal with the strategies alignment challenge. The lack of alignment emerges because each enterprise defines its own objectives and strategies, to perform their business, and it could happen that non-compatible strategies are activated, involving the appear‐ ance of conflicts between strategies of different enterprises. To this regard, a decision support system is proposed, consisting of a mathematical model, a system dynamics method, a simulation tool and a guideline, with the main aim of supporting the process of identifying aligned strategies, among the enterprises of the collaborative network.This work has been funded in part by Programa Val i+d para investigadores en formación (ACIF 2012).Andres, B.; Poler, R. (2017). Supporting the Strategies Alignment Process in Collaborative Networks. IFIP Advances in Information and Communication Technology. 499:3-19. https://doi.org/10.1007/978-3-319-56077-9_1S319499Poler, R., Carneiro, L.M., Jasinski, T., Zolghadri, M., Pedrazzoli, P.: Intelligent Non-hierarchical Manufacturing Networks. Networks and Telecommunications Series. iSTE Wiley, Hoboken (2012)Camarinha-Matos, L.M., Afsarmanesh, H.: Collaborative Networks: Reference Modelling. Springer International Publishing, Heidelberg (2008)Andres, B., Poler, R.: Models, guidelines and tools for the integration of collaborative processes in non-hierarchical manufacturing networks: a review. Int. J. Comput. Integr. Manuf. 2(29), 166–201 (2016)Andres, B., Poler, R.: Relevant problems in collaborative processes of non-hierarchical manufacturing networks. J. Ind. Eng. Manag. 6(3), 723–731 (2013)Andrés, B., Poler, R.: Computing the strategies alignment in collaborative networks. In: Mertins, K., Bénaben, F., Poler, R., Bourrières, J.-P. (eds.) Enterprise Interoperability VI. PIC, vol. 7, pp. 29–40. Springer, Cham (2014). doi: 10.1007/978-3-319-04948-9_3Bititci, U., Turnera, T., Mackaya, D., Kearneyc, D., Parunga, J., Waltersb, D.: Managing synergy in collaborative enterprises. Prod. Plan. Control Manag. Oper. 18(6), 454–465 (2007)Macedo, P., Abreu, A., Camarinha-Matos, L.M.: A method to analyse the alignment of core values in collaborative networked organisations. Prod. Plan. Control 21(2), 145–159 (2010)da Piedade Francisco, R., Azevedo, A., Bastos, J.: Managing performance to align the participants of collaborative networks: case studies results. In: Camarinha-Matos, L.M., Boucher, X., Afsarmanesh, H. (eds.) PRO-VE 2010. IAICT, vol. 336, pp. 545–552. Springer, Heidelberg (2010). doi: 10.1007/978-3-642-15961-9_65Camarinha-Matos, L.M., Afsarmanesh, H.: Collaborative networks: a new scientific discipline. J. Intell. Manuf. 16(4–5), 439–452 (2005)Andres, B., Poler, R.: A decision support system for the collaborative selection of strategies in enterprise networks. Decis. Support Syst. 91, 113–123 (2016). doi: 10.1016/j.dss.2016.08.005Kristianto, Y., Gunasekaran, A., Helo, P., Sandhu, M.: A decision support system for integrating manufacturing and product design into the reconfiguration of the supply chain networks. Decis. Support Syst. 52(4), 790–801 (2012)Lin, H.W., Nagalingam, S.V., Kuik, S.S., Murata, T.: Design of a global decision support system for a manufacturing SME: towards participating in collaborative manufacturing. Int. J. Prod. Econ. 136(1), 1–12 (2012)Seok, H., Nof, S.Y., Filip, F.G.: Sustainability decision support system based on collaborative control theory. Annu. Rev. Control 36(1), 85–100 (2012)Shafiei, F., Sundaram, D., Piramuthu, S.: Multi-enterprise collaborative decision support system. Expert Syst. Appl. 39(9), 7637–7651 (2012)Tan, P.S., Lee, S.S.G., Goh, A.E.S.: Multi-criteria decision techniques for context-aware B2B collaboration in supply chains. Decis. Support Syst. 52(4), 779–789 (2012)Verdecho, M.J., Alfaro, J.J., Rodriguez, R.: Prioritization and management of inter-enterprise collaborative performance. Decis. Support Syst. 53(1), 142–153 (2012)Lu, T.P., Trappey, A.J.C., Chen, Y.K., Chang, Y.D.: Collaborative design and analysis of supply chain network management key processes model. J. Netw. Comput. Appl. 36(6), 1503–1511 (2013)Macedo, P., Camarinha-Matos, L.M.: A qualitative approach to assess the alignment of value systems in collaborative enterprises networks. Comput. Ind. Eng. 64(1), 412–424 (2013)Singh, R.K., Benyoucef, L.: A consensus based group decision making methodology for strategic selection problems of supply chain coordination. Eng. Appl. Artif. Intell. 26(1), 122–134 (2013)Zhang, H., Deng, Y., Chan, F.T.S., Zhang, X.: A modified multi-criterion optimization genetic algorithm for order distribution in collaborative supply chain. Appl. Math. Model. 37(14–15), 7855–7864 (2013)Dao, S.D., Abhary, K., Marian, R.: Optimisation of partner selection and collaborative transportation scheduling in virtual enterprises using GA. Expert Syst. Appl. 41(15), 6701–6717 (2014)Guillaume, R., Marques, G., Thierry, C., Dubois, D.: Decision support with ill-known criteria in the collaborative supply chain context. Eng. Appl. Artif. Intell. 36, 1–11 (2014)Andres, B., Poler, R., Sanchis, R.: Collaborative strategies alignment to enhance the collaborative network agility and resilience. IFIP Adv. Inf. Commun. Technol. 463, 88–99 (2015)Lazarus Free Pascal: Lazarus (2016)Andres, B., Poler, R., Rosas, J., Camarinha-Matos, L.: Technological Innovation for Cyber-Physical Systems. IFIP Advances in Information and Communication Technology, vol. 470, pp. 3–10. Springer, Heidelberg (2016)Kleijnen, J.P.C., Wan, J.: Optimization of simulated systems: OptQuest and alternatives. Simul. Model. Pract. Theory 15(3), 354–362 (2007)Andres, B., Poler, R.: Towards a methodology to support the strategies alignment process in collaborative networks. In: Mertins, K., Jardim-Gonçalves, R., Popplewell, K., Mendonça, J.P. (eds.) Enterprise Interoperability VII. PIC, vol. 8, pp. 295–305. Springer, Cham (2016). doi: 10.1007/978-3-319-30957-6_24Kleijnen, J.P.C.: Verification and validation of simulation models. Eur. J. Oper. Res. 82, 145–162 (1995)Akhras, G.: Smart materials and smart systems for the future. Can. Mil. J. 1(3), 25–31 (2000
A Holistic Algorithm for Materials Requirement Planning in Collaborative Networks
No full text[EN] Collaboration has increasingly been considered a key topic within the small and medium-sized enterprises, allowing dealing with the intense competitiveness of today¿s globalised markets. The European H2020 Cloud Collaborative Manufacturing Networks Project proposes mechanisms to encourage collaboration among enterprises, through the computation of collaborative plans. Particularly, this paper focuses on the proposal of a holistic algorithm to deal with the automated and collaborative calculation of the Materials Requirement Plan. The proposed algorithm is validated in a collaborative network belonging to the 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.
636909.Andres, B.; Poler, R.; Sanchis, R. (2017). A Holistic Algorithm for Materials Requirement Planning in Collaborative Networks. IFIP Advances in Information and Communication Technology. 560:41-50. https://doi.org/10.1007/978-3-319-65151-4_4S4150560CORDIS Europa: Factories of the Future. H2020-EU.2.1.5.1. - Technologies for Factories of the Future (2014)H2020 Project C2NET (2015). http://cordis.europa.eu/project/rcn/193440_en.htmlAndres, B., Sanchis, R., Poler, R.: A cloud platform to support collaboration in supply networks. Int. J. Prod. Manag. Eng. 4(1), 5–13 (2016)Andres, B., Sanchis, R., Lamothe, J., Saari, L., Hauser, F.: Integrated production-distribution planning optimization models: a review in collaborative networks context. Int. J. Prod. Manag. Eng. 5(1), 31–38 (2017)Camarinha-Matos, L.M., Afsarmanesh, H.: Collaborative networks: a new scientific discipline. J. Intell. Manuf. 16(4–5), 439–452 (2005)Andres, B., Poler, R.: Models, guidelines and tools for the integration of collaborative processes in non-hierarchical manufacturing networks: a review. Int. J. Comput. Integr. Manuf. 2(29), 166–201 (2016)Sanchis, R., Poler, R., Lario, F.C.: Identification and analysis of Disruptions: the first step to understand and measure Enterprise Resilience. In: International Conference on Industrial Engineering and Engineering Management, pp. 424–431 (2012)Andres, B., Saari, L., Lauras, M., Eizaguirre, F.: Optimization algorithms for collaborative manufacturing and logistics processes. In: Zelm, M., Doumeingts, G., Mendonça, J.P. (eds.) Enterprise Interoperability in the Digitized and Netwroked Factory of the Future, iSTE 2016, pp. 167–173 (2016)Orbegozo, A., Andres, B., Mula, J., Lauras, M., Monteiro, C., Malheiro, M.: An overview of optimization models for integrated replenishment and production planning decisions. In: Building Bridges Between Researchers and Practitioners. Book of Abstracts of the International Joint Conference CIO-ICIEOM-IISE-AIM (IJC 2016), p. 68 (2016
Dealing with the Alignment of Strategies Within the Collaborative Networked Partners
No full textPart 2: Collaborative NetworksInternational audienceOver the last years, enterprises awareness towards establishing collaborative processes has significantly grown due to the benefits obtained when participating in a collaborative network (CN). This paper is a continuation of the work developed by Andres and Poler [1] in which a set of collaborative processes are identified. This paper particularly focuses on the strategies alignment (SA) process, highlighting its influence on the success of a CN. A preliminary framework is outlined to address the collaborative process of SA, consisting of a model, a method and a methodology. Highlighting the importance of the use of cloud-based systems to support small and medium enterprises (SMEs) to deal with the SA process. The implementation of the proposed framework allows identifying what are the strategies that are aligned and how its activation increases the network performance, resulting in more stable and sustainable collaborative relationships, and assuring the proper operation of the CNs
An Information Management Conceptual Approach for the Strategies Alignment Collaborative Process
No full text[EN] This paper proposes an information management approach to deal with the strategies alignment collaborative process. Much attention has been given to the information management in collaborative networks (CNs), resulting in a wide variety of information management approaches and frameworks. The treatment, estimation, and collection of data are key issues that still need to be addressed, due to the complexity associated with the information exchange and the need to build trust relationships within the CN. In order to address this literature gap, this paper presents an approach to manage information in the specific collaborative process of strategies alignment. The approach is composed of a methodology, that enables to identify the roles participating in the application of the collaborative process, select the collaborative application context, determine the level of collaboration to be applied, and estimate and gather the data required to feed the strategies alignment process. The proposed information management approach bridges the conceptual model of strategies alignment process, with its application in real-world CNs.This work has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 872548 "Fostering DIHs for Embedding Interoperability in Cyber-Physical Systems of European SMEs" (DIH4CPS) (http://dih4cps.eu/).Andres, B.; Poler, R. (2020). An Information Management Conceptual Approach for the Strategies Alignment Collaborative Process. Sustainability. 12(10):1-22. https://doi.org/10.3390/su12103959S1221210Camarinha-Matos, L. M., & Afsarmanesh, H. (2005). Collaborative networks: a new scientific discipline. Journal of Intelligent Manufacturing, 16(4-5), 439-452. doi:10.1007/s10845-005-1656-3Cheikhrouhou, N., Pouly, M., & Madinabeitia, G. (2013). Trust categories and their impacts on information exchange processes in vertical collaborative networked organisations. International Journal of Computer Integrated Manufacturing, 26(1-2), 87-100. doi:10.1080/0951192x.2012.681913Andres, 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.2016.08.005Blome, C., Paulraj, A., & Schuetz, K. (2014). Supply chain collaboration and sustainability: a profile deviation analysis. International Journal of Operations & Production Management, 34(5), 639-663. doi:10.1108/ijopm-11-2012-0515Soosay, C. A., & Hyland, P. (2015). A decade of supply chain collaboration and directions for future research. Supply Chain Management: An International Journal, 20(6), 613-630. doi:10.1108/scm-06-2015-0217Chen, L., Zhao, X., Tang, O., Price, L., Zhang, S., & Zhu, W. (2017). Supply chain collaboration for sustainability: A literature review and future research agenda. International Journal of Production Economics, 194, 73-87. doi:10.1016/j.ijpe.2017.04.005Transforming Our World: The 2030 Agenda for Sustainable Development https://sustainabledevelopment.un.org/post2015/transformingourworldFonseca, L. M., Domingues, J. P., & Dima, A. M. (2020). Mapping the Sustainable Development Goals Relationships. Sustainability, 12(8), 3359. doi:10.3390/su12083359Horan, D. (2019). A New Approach to Partnerships for SDG Transformations. Sustainability, 11(18), 4947. doi:10.3390/su11184947Andres, B., & Marcucci, G. (2020). A Strategies Alignment Approach to Manage Disruptive Events in Collaborative Networks. Sustainability, 12(7), 2641. doi:10.3390/su12072641Andres, B., & Blanes, V. J. (2020). A Negotiation Approach to Support the Strategies Alignment Process in Collaborative Networks. Sustainability, 12(7), 2766. doi:10.3390/su12072766Provan, K. G., & Kenis, P. (2007). Modes of Network Governance: Structure, Management, and Effectiveness. Journal of Public Administration Research and Theory, 18(2), 229-252. doi:10.1093/jopart/mum015Pilbeam, C., Alvarez, G., & Wilson, H. (2012). The governance of supply networks: a systematic literature review. Supply Chain Management: An International Journal, 17(4), 358-376. doi:10.1108/13598541211246512Alemany, M. M. E., Alarcón, F., Lario, F.-C., & Boj, J. J. (2011). An application to support the temporal and spatial distributed decision-making process in supply chain collaborative planning. Computers in Industry, 62(5), 519-540. doi:10.1016/j.compind.2011.02.002Schneeweiss, C. (2003). Distributed decision making in supply chain management. International Journal of Production Economics, 84(1), 71-83. doi:10.1016/s0925-5273(02)00381-xAlemany, M. M. E., Boj, J. J., Mula, J., & Lario, F.-C. (2009). Mathematical programming model for centralised master planning in ceramic tile supply chains. International Journal of Production Research, 48(17), 5053-5074. doi:10.1080/00207540903055701Saiz, J. J. A., Rodriguez, R. R., Bas, A. O., & Verdecho, M. J. (2010). An information architecture for a performance management framework by collaborating SMEs. Computers in Industry, 61(7), 676-685. doi:10.1016/j.compind.2010.03.012Andrés, B., & Poler, R. (2013). Relevant problems in collaborative processes of non-hierarchical manufacturing networks. Journal of Industrial Engineering and Management, 6(3). doi:10.3926/jiem.552Mula, J., Poler, R., & Garcia, J. P. (2006). MRP with flexible constraints: A fuzzy mathematical programming approach. Fuzzy Sets and Systems, 157(1), 74-97. doi:10.1016/j.fss.2005.05.045Campuzano, F., Mula, J., & Peidro, D. (2010). Fuzzy estimations and system dynamics for improving supply chains. Fuzzy Sets and Systems, 161(11), 1530-1542. doi:10.1016/j.fss.2009.12.002Mula, J., Peidro, D., & Poler, R. (2014). Optimization Models for Supply Chain Production Planning Under Fuzziness. Studies in Fuzziness and Soft Computing, 397-422. doi:10.1007/978-3-642-53939-8_17Da Piedade Francisco, R., Azevedo, A., & Almeida, A. (2012). Alignment prediction in collaborative networks. Journal of Manufacturing Technology Management, 23(8), 1038-1056. doi:10.1108/17410381211276862Savastano, M., Amendola, C., Bellini, F., & D’Ascenzo, F. (2019). Contextual Impacts on Industrial Processes Brought by the Digital Transformation of Manufacturing: A Systematic Review. Sustainability, 11(3), 891. doi:10.3390/su1103089
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Raul Morin, author of 'Among the Valiant' shakes hands with Dr. Hector P. Garcia (photograph)
No full text(L. to R.): Raul Morin, author of 'Among the Valiant' shakes hands with Dr. Hector P. Garcia
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