Early Warning System Potential for Single Sourcing Risk Mitigation

[EN] Network governance is described as a framework of policies and business rules, which is applied to manage an extended organization. Risk mitigation is crucial to avoid disruptions. A early warning systems could help to avoid these risk. In the paper a framework ro risk management using an early warning systems is presented.Franconetti Rodríguez, P.; Ortiz Bas, Á. (2014). Early Warning System Potential for Single Sourcing Risk Mitigation. IFIP Advances in Information and Communication Technology. 434:610-617. doi:10.1007/978-3-662-44745-1_60S610617434Enderwick, P.: Avoiding quality fade in Chinese global supply chains. Bus. Proc. Manag. J. 15(6), 876–894 (2009)Christopher, M., Lee, H.: Mitigating supply chain risk through improved confidence. Int. J. Phys. Dist. Log. Manag. 34, 388–396 (2004)Chopra, S., Sodhi, M.S.: Managing Risk to avoid Supply-Chain breakdown. MIT Sloan Manag. Rev., 53–61 (2004)Zeng, A.Z.: A synthetic study of sourcing strategies. Ind. Manage Data Syst. 100(5), 219–226 (2000)Wu, Z., Jiao, J., He, Z.: A single control chart for monitoring the frequency and magnitude of an event. Int. J. Prod. Econom. 119, 24–33 (2009)Macedo, P., Cardoso, T., Camarinha-Matos, L.M.: Value Systems Alignment in Product Servicing Networks. In: Camarinha-Matos, L.M., Scherer, R.J. (eds.) PRO-VE 2013. IFIP AICT, vol. 408, pp. 71–80. Springer, Heidelberg (2013)Tummala, R., Schoenherr, T.: Assessing and managing risks using the Supply Chain Risk Management Process (SCRMP). Suppl. Chain Manag. 16(6), 474–483 (2011)Franconetti, P., Ortiz, A.: Sourcing risk management in industrial collaborative networks. IEEE T. Ind. Inform. (under revision)Blackhurst, J.V., Scheibe, K.P., Johnson, D.J.: Supplier risk assessment and monitoring for the automotive industry. Int. J. Phys. Dist. Log. Manag. 38(2), 143–165 (2008)Scandizzo, S.: Risk Mapping and Key Risk Indicators in Operational Risk Management. Ec. Notes Banca Monte dei Paschi di Siena 34(2), 231–256 (2005)Stavrulaki, E., Davis, M.: Aligning products with supply chain processes and strategy. Int. J. Log. Manag. 21, 127–151 (2010)Chakraborty, D., Tah, D.: Real time statistical process advisor for effective quality control. Decision Support Systems 42(2), 700–711 (2006)Guiledge, T., Chavusholu, T.: Automating the construction of supply chain key performance indicators. Ind. Manag. Data Syst. 108(6), 750–777 (2008

Offshoring Decision based on a framework for risk identification

[EN] Offshoring has been a growing practice in the last decade. This involves transferring or sharing management control of a business process (BP) to a supplier in a different country. Offshoring implicates information exchange, coordination and trust between the overseas supplier and the company that means to assume risk. In this paper categories and types of risk have been hierarchically classified using a new approach with the aim to propose a multilevel reference model for Supply Chain Risk evaluation. This classification has been used to analysis the offshoring decision taking into account not only operational and financial risks but other aspects as strategic, compliance, reputation and environmental. The proper risk identification can help to take the correct decision whether or not to bet on offshoring or maintain all the processes in the country of origin.Franconetti Rodríguez, P.; Ortiz Bas, Á. (2013). Offshoring Decision based on a framework for risk identification. IFIP Advances in Information and Communication Technology. 408:540-547. doi:10.1007/978-3-642-40543-3_57S540547408Aron, R., Singh, J.V.: Getting Offshoring Right. Harvard Bus. Rev. 83, 135–155 (2005)Contractor, F.J., Kumar, V., Sumit, V., Kundu, K., Pedersen, J.: Reconceptualizing the Firm in a World of Outsourcing and Offshoring: The Organizational and Geographical Relocation of High-Value Company Functions. J. Manage. Stud. 47, 1417–1433 (2010)Holweg, M., Reichhart, A., Hong, E.: On risk and cost in global sourcing, Int. J. Int. J. Prod. Econ. 131, 333–341 (2011)Kleindorfer, P.R., Saad, G.H.: Managing Disruption Risks in Supply Chains. Prod. Oper. Manag. 14, 53–68 (2005)Neiger, D., Rotaru, K., Churilov, L.: Supply chain risk identification with value-focused process engineering. J. Oper. Manag. 27, 154–168 (2009)Kumar, S., Kwong, A., Misra, C.: Risk mitigation in offshoring of business operations. J. Manufac. Tech. Manag. 20, 442–459 (2009)Bandaly, D., Satir, A., Kahyaoglu, Y., Shanker, L.: Supply chain risk management –I: Conceptualization, framework and planning process. Risk Management 14, 249–271 (2012)Klimov, R., Merkuryev, Y.: Simulation model for supply chain reliability evaluation. Balt. J. Sust. 14, 300–311 (2008)Chopra, S., Sodhi, M.S.: Managing Risk To Avoid Supply-Chain Breakdown. MIT Sloan management review 53 (2004)Blackhurst, J.V., Scheibe, K.P., Johnson, D.J.: Supplier risk assessment and monitoring for the automotive industry. Int. J. Phys. Distrib. 38, 143–165 (2008)Tang, O., Musa, S.N.: Identifying risk issues and research advancements in supply chain risk management, Int. J. Production Economics 133, 25–34 (2011)Christopher, M., Mena, C., Khan, O.: Approaches to managing global sourcing risk. Supply Chain Manag 16, 67–81 (2011)Olson, D.L., Wu, D.: Risk Management models for supply chain: a scenario analysis of outsourcing to China. Supply Chain Manag 16, 401–408 (2011)Supply Chain Council, Inc. SCOR: The Supply Chain Reference ISBN 0615202594Lambert, D.: Supply Chain Management: Processes, Partnerships, Performance, 3rd edn.Kern, D., Moser, R., Hartmann, E.: Supply risk management: model development and empirical analysis. Int. J. Phys. Distrib. 42, 60–82 (2008)Saaty, T.L.: The analytic hierarchy and analytic network measurement processes: Applications to decisions under Risk. Eur. J. Pure. Appl. Math., 122–196 (2008)Lockamy III, A., McCormack, K.: Analysing risks in supply networks to facilitate outsourcing decisions. Int. J. Prod. Res. 48(2), 593–611 (2010

Understanding Organisational Engineering

[EN] This paper analyses the concept of organisational engineering by stressing the main functions or phases to be developed and linking them with enperprise management but also emphasizing the differences. The paper also states that organisational engineering is well-founded and robust discipline.Ortiz Bas, A. (2016). Understanding Organisational Engineering. International Journal of Production Management and Engineering. 4(1):1-3. doi:10.4995/ijpme.2016.4534SWORD1341Carrasco, J.; Mataix C.; Carrasco-Gallego R.; (2015) "Organisational Engineering: the emerging state of industrial engineering". 9th International Conference on Industrial Engineering and Industrial Management, Aveiro, Portugal. July 6-8, 2015Companys, R.; Lario F.C.; Vicens, E; Poler, R.; Ortiz, A., (2016) "An approach to the industrial organisation engineeri background in Spain". Lecture Notes in Management and Industrial Engineering. Springer.De Miguel Fernandez, E., (2005). Introducción a la gestión (Management). Editorial Universitat Politècnica de València.Ortiz, A., Lario, F., & Ros, L. (1999). Enterprise Integration—Business Processes Integrated Management: a proposal for a methodology to develop Enterprise Integration Programs. Computers in Industry, 40(2-3), 155-171. doi:10.1016/s0166-3615(99)00021-

Service-oriented Approach Supporting Dynamic Manufacturing Networks Operations

[EN] In the current economic crisis, also the manufacturing sector is asked to evolve towards more dynamic organizational structures within which, composing manufacturing processes, almost in real time, will become a need. This work aims at introducing flexibility and dynamisms to current manufacturing processes by separating its tasks from its final performers. With the proposed approach, the performers replacement can be done almost seamlessly. Additionally, the approach shows how dynamic negotiation and contracting, either for a whole process or a single activity, can be smoother if the task specification is based on a standard service interface defined at the ecosystem level. At the end, a prototype implementation is briefly described.Franco Pereyra, RD.; Ortiz Bas, Á.; Gómez-Gasquet, P. (2013). Service-oriented Approach Supporting Dynamic Manufacturing Networks Operations. IFIP Advances in Information and Communication Technology. 408:345-354. doi:10.1007/978-3-642-40543-3_37S345354408Osório, A.L., Afsarmanesh, H., Camarinha-Matos, L.M.: Open Services Ecosystem Supporting Collaborative Networks. In: Ortiz, Á., Franco, R.D., Gómez Gasquet, P. (eds.) BASYS 2010. IFIP AICT, vol. 322, pp. 80–91. Springer, Heidelberg (2010)Afsarmanesh, H., Camarinha-Matos, L., Msanjila, S.: On management of 2nd generation Virtual Organizations Breeding Environments. Annual Reviews in Control 33(2), 209–219 (2009)Afsarmanesh, H., Camarinha-Matos, L.: A Framework for Management of Virtual Organization Breeding Environments. In: Camarinha-Matos, L.M., Afsarmanesh, H., Ortiz, A. (eds.) Collaborative Networks and Their Breeding Environments. IFIP, vol. 186, pp. 35–48. Springer, Boston (2005)Franco, R.D., Ortiz Bas, A., Gómez-Gasquet, P., Rodriguez Rodriguez, R.: Open Ecosystems, Collaborative Networks and Service Entities Integrated Modeling Approach. In: Camarinha-Matos, L.M., Xu, L., Afsarmanesh, H. (eds.) Collaborative Networks in the Internet of Services. IFIP AICT, vol. 380, pp. 74–83. Springer, Heidelberg (2012)Minguez, J., Zor, S., Reimann, P.: Event-driven business process management in Engineer-to-Order supply chains. In: 2011 15th International Conference on Computer Supported Cooperative Work in Design (CSCWD), pp. 624–631 (2011)Wang, X., Cai, H., Xu, B.: An Extended Petri-Net Based Approach for Supply Chain Process Modeling and Web Service Transformation. In: International Conference on Management and Service Science, MASS 2009, pp. 1–5 (2009)Mowshowitz, A.: The switching principle in Virtual Organization. eJOV 1(1), 7–18 (1999)Franco, Ortiz Bas, Lario Esteban, F.C.: Modeling extended manufacturing processes with service-oriented entities. Service Business 3(1), 31–50 (2009)Vallejos, R.V., Lima, C., Varvakis, G.: A Framework To Create A Virtual Organization Breeding Environment In The Mould And Die Sector. In: Camarinha-Matos, L.M., Afsarmanesh, H., OIlus, M. (eds.) Network-Centric Collaboration and Supporting Frameworks. IFIP, vol. 224, pp. 599–608. Springer, Boston (2006)Bocchi, L., Fiadeiro, J., Rajper, N., Reiff-Marganiec, S.: Structure and Behaviour of Virtual Organisation Breeding Environments (January 2010)Romero, D., Molina, A.: VO breeding environments & virtual organizations integral business process management framework. Information Systems Frontiers 11(5), 569–597 (2009)Ulieru, M., Grobbelaar, S.: Engineering Industrial Ecosystems in a Networked World. In: 5th IEEE International Conference on Industrial Informatics, vol. 1, pp. 1–7 (2007)Rajini, S.N.S., Bhuvaneswari, D.T.: Service Based Architecture for Manufacturing Sector (2010)Lobov, A., Puttonen, J., Herrera, V.V., Andiappan, R., Lastra, J.L.M.: Service oriented architecture in developing of loosely-coupled manufacturing systems. In: 6th IEEE International Conference on Industrial Informatics, INDIN 2008, pp. 791–796 (2008)Jammes, F., Smit, H., Lastra, J.L.M., Delamer, I.M.: Orchestration of service-oriented manufacturing processes. In: 10th IEEE Conference on Emerging Technologies and Factory Automation, ETFA 2005, vol. 1, pp. 617–624 (2005)Zor, S., Görlach, K., Leymann, F.: Using BPMN for Modeling Manufacturing Processes. Neuer Wissenschaftlicher Verlag, Wien (2010

Improving Vegetables' Quality in Small-Scale Farms Through Stakeholders' Collaboration

[EN] Small farms are responsible for 80% of theworld¿s agricultural production although they have difficulties to meet the market quality requirements. Corporate social responsibility (CSR) programs where modern retailers invest in empowering small farmers have been implemented obtaining an increase of the supply chain (SC) profits in cases where supply and demand are balanced. In this paper, a MILP model based onWahyudin et al. (In: Proceedings of the international multiconference of engineers and computer scientists, Hong Kong, pp. 877¿882, [1]) to select the investments to carry out by modern retailers, and the product flow through the SC in situations of supply and demand imbalance is proposed. Its objective is to find out if collaboration programs have a positive impact on SC profits when supply and demand are not balanced. This model allows for the rejection of demand and product wastes. Results show that collaboration programs positively impact on the SC profits and consumer satisfaction level when there is an imbalance between demand and supply.The first author acknowledges the partial support of the Programme of Formation of University Professors of the Spanish Ministry of Education, Culture, and Sport (FPU15/03595), and the partial support of Project Development of an integrated maturity model for agility, resilience and gender perspective in supply chains (MoMARGE). Application to the agricultural sector. Ref. GV/2017/025, funded by the Generalitat Valenciana. The other authors acknowledge the partial support of Project 691249, RUC-APS: Enhancing and implementing Knowledge based ICT solutions within high Risk and Uncertain Conditions for Agriculture Production Systems, funded by the EU under its funding scheme H2020-MCSA-RISE-2015.Esteso, A.; Alemany Díaz, MDM.; Ortiz Bas, Á. (2020). Improving Vegetables' Quality in Small-Scale Farms Through Stakeholders' Collaboration. Lecture Notes in Management and Industrial Engineering. 95-103. https://doi.org/10.1007/978-3-030-44530-0_12S95103Wahyudin RS, Hisjam M, Yuniaristanto, Kurniawan B (2015) An agri-food supply chain model for cultivating the capabilities of farmers in accessing capital using corporate social responsibility program. In: Proceedings of the international multiconference of engineers and computer scientists, Hong Kong, pp 877–882Lowder SK, Skoet J, Raney T (2016) The number, size, and distribution of farms, smallholder farms, and family farms worldwide. World Dev 87:16–29Sutopo W, Hisjam M, Yuniaristanto (2011) An agri-food supply chain model for cultivating the capabilities of farmers accessing market using social responsibility program. Int Sch Sci Res Innov 5(11):1588–1592Sutopo W, Hisjam M, Yuniaristanto (2012) An agri-food supply chain model to enhance the business skills of small-scale farmers using corporate social responsibility. Makara J Technol 16(1):43–50Sutopo W et al (2013a) A goal programming approach for assessing the financial risk of corporate social responsibility programs in agri-food supply chain network. Proc World Congr Eng 2013:732–736Sutopo W, Hisjam M, Yuniaristanto (2013b) An agri-food supply chain model to empower farmers for supplying deteriorated product to modern retailer. In: IAENG transactions on engineering technologies: special issue of the international multiconference of engineers and computer scientists 2012. Springer Netherlands, Dordrecht, 189–202Grillo H, Alemany MME, Ortiz A, Fuertes-Miquel VS (2017) Mathematical modelling of the order-promising process for fruit supply chains considering the perishability and subtypes of products. Appl Math Model 49:255–278Sutopo W, Hisjam M, Yuniaristanto (2013c) Developing an agri-food supply chain application for determining the priority of CSR program to empower farmers as a qualified supplier of modern retailer. In: 2013 World Congress on Engineering and Computer Science, pp 1180–1184Esteso A, Alemany MME, Ortiz A (2017) Conceptual framework for managing uncertainty in a collaborative agri-food supply chain context. Working conference on virtual enterprises. Springer, Cham, pp 715–72

Métodos y Modelos Deterministas e Inciertos para la Gestión de Cadenas de Suministro Agroalimentarias

[EN] The market for agricultural products has grown substantially. At the same time, social concern in food issues such as food safety, food quality, traceability and sustainability is constantly increasing. These reasons have pointed out the need of new models and tools to manage the agri-food supply chains while considering the characteristics that differentiate them from other industrial supply chains as well as the uncertainties present in the sector. Thus, the aim of this paper is to present the current status of a project which mains objectives are to describe the complexity faced by agri-food supply chain decision makers, and to develop new tools based on mathematical programming models to help the decision making process in agri-food supply chain planning. These models novelty will include the consideration of the inherent characteristics of agri-food supply chains and the sources of uncertainty present in the sector. The proposed models and tools will be applied to a real agri-food supply chain in order to prove their validity and applicability and to compare the results obtained by deterministic and uncertain tools.[ES] El mercado de productos agrícolas está en continuo crecimiento, al igual que la preocupación social en temas alimentarios como la calidad y seguridad alimentaria. Esto genera la necesidad de desarrollar modelos y herramientas para gestionar las cadenas de suministro agroalimentarias de manera ajustada y teniendo en cuenta sus características y fuentes de incertidumbre inherentes. Este articulo presenta el estado actual de un proyecto cuyos principales objetivos son: describir la complejidad enfrentada por los decisores de las cadenas de suministro agroalimentarias, y desarrollar nuevas herramientas basadas en programación matemática para apoyar la toma de decisiones en este sector.This research has been supported by the Program of Formation of University Professors (FPU) of the Spanish Ministry of Education, Culture and Sport (FPU15/03595)Esteso, A.; Alemany Díaz, MDM.; Ortiz Bas, Á. (2017). Deterministic and Uncertain Methods and Models for Managing Agri-Food Supply Chain. Dirección y organización (Online). (62):41-46. http://hdl.handle.net/10251/108673S41466

Towards a framework for inter-enterprise architecture to boost collaborative networks

A complete Inter-Enterprise Architecture should be conformed to a framework, a methodology and a modelling language. In this sense, this paper proposes an initial Framework for Inter-Enterprise Architecture (FIEA), which organizes, stores, classifies and communicates in a conceptual level the elements of the Inter-Enterprise Architecture (IEA) and their relationships, ensuring their consistency and integrity. This FIEA provides a clear picture about the elements and perspectives that make up the collaborative network and their inter-relationships, supported for technology base on the Internet for its inter-operation.This research has been carried out for the project “Sistema de ayuda a la toma de decisiones ante decisiones no programadas en la planificación jerárquica de la producción (ADENPRO-PJP)” Ref. SP20120703 Universitat Politècnica de València.Vargas, A.; Boza García, A.; Cuenca, L.; Ortiz Bas, Á. (2013). Towards a framework for inter-enterprise architecture to boost collaborative networks. En On the Move to Meaningful Internet Systems: OTM 2013 Workshop. Springer Verlag (Germany). 179-188. https://doi.org/10.1007/978-3-642-41033-8_26S179188Cuenca, L., Boza, A., Ortiz, A.: Enterprise Architecture Framework with Early Business/ICT Alignment for Extended Enterprises. In: Ortiz, Á., Franco, R.D., Gasquet, P.G. (eds.) BASYS 2010. IFIP AICT, vol. 322, pp. 11–18. Springer, Heidelberg (2010a)Vargas, A., Boza, A., Cuenca, L., Sacala, I.: Inter-Enterprise Architecture and Internet of the Future. In: Camarinha-Matos, L.M., Tomic, S., Graça, P. (eds.) DoCEIS 2013. IFIP AICT, vol. 394, pp. 25–32. Springer, Heidelberg (2013)Camarinha-Matos, L., Afsarmanesh, H.: Collaborative networks: Reference Modeling. Media, Springer Science + Business (2008)European Commission European Society and Media: Dygital Business Ecosystems. Office for Official Publications of the European Communities, Luxembourg (2007)Future Internet Enterprise Systems (FInES) Cluster: FInES Research Roadmap 2025, http://cordis.europa.eu/Vargas, A., Boza, A., Cuenca, L., Ortiz, A.: The importance of strategic alignment in enterprise collaboration. In: Prado-Prado, J.C. (ed.) Annals of Industrial Engineering 2012, pp. 1–8. Springer, London (2013)Henderson, J., Venkatraman, N.: Strategic alignment: Leveraging information technology for transforming organizations. IBM Systems Journal 32(1), 472–484 (1993)Vargas, A., Boza, A., Cuenca, L.: Lograr la alineación estratégica de negocio y las tecnologías de la información a través de Arquitecturas Empresariales: Revisión de la Literatura. In: XV Congreso de Ingeniería de Organización, Cartagena-España, pp. 1061–1070 (2011a)ISO 15704: Industrial automation systems - Requirements for enterprise-reference architectures and methodologies (2000)Kosanke, K.: CIMOSA Primer on key concepts, purpose and business value. CIMOSA Association, http://cimosa.cnt.pl/Cuenca, L., Boza, A., Ortiz, A.: An enterprise engineering approach for the alignment of business and information technology strategy. International Journal of Computer Integrated Manufacturing 24(11), 974–992 (2011)Vernadat, F.: Enterprise modelling and integration: From fact modelling to Enterprise Interoperability (2003)Vargas, A., Boza, A., Cuenca, L.: Towards Interoperability Through Inter-Enterprise Collaboration Architectures. In: Meersman, R., Dillon, T., Herrero, P. (eds.) OTM-WS 2011. LNCS, vol. 7046, pp. 102–111. Springer, Heidelberg (2011)Plaza, J., Burgos, J., Carmona, E.: Measuring Stakeholder Integration: Knowledge, Interaction and Adaptational Behavior Dimensions. Journal of Business Ethics 93, 419–442 (2010)Camarinha-Matos, L.M., Afsarmanesh, H.: Collaborative networks: A new scientific discipline, pp. 439–452 (2005)Afsarmanesh, H., Msanjila, S.: Inter-organizational trust in VBEs. In: Camarinha-Matos, L.M., Afsarmanesh, H., Ollus, M. (eds.) Methods and Tools for Collaborative Networked Organizations. Springer (2008)Mehandjiev, N., Grefen, P.: Dynamic business process formation for instant virtual enterprises, London (2010)Kosanke, K., Vernadat, F., Zelm, M.: CIMOSA: enterprise engineering and integration. Computers in Industry 40, 83–97 (1999)Chen, D., Vallespir, B., Doumeingts, G.: GRAI integrated methodology and its mapping onto generic enterprise reference architecture and methodology. Computers in Industry 33, 387–394 (1997)IFIP: GERAM: Generalised Enterprise Reference Architecture and Methodology. In: International Federation for Information Processing, http://dl.ifip.org/index.php/index/indexOrtiz, A., Lario, F., Ros, L.: Enterprise Integration—Business Processes Integrated Management: a proposal for a methodology to develop Enterprise Integration Programs. Computers in Industry 40, 155–171 (1999)Cuenca, L., Ortiz, A., Boza, A.: Business and IS/IT strategic alignment framework. In: Camarinha-Matos, L.M., Pereira, P., Ribeiro, L. (eds.) DoCEIS 2010. IFIP AICT, vol. 314, pp. 24–31. Springer, Heidelberg (2010b)THE OPEN GROUP: TOGAF, http://www.opengroup.org/togaf/Vesterager, J., T{\o}lle, M., Bernus, P.: VERA: Virtual Enterprise Reference Architecture. In: GMNBook, GLOBEMEN Final Plenary (2002)Chalmeta, R., Grangel, R.: ARDIN extension for virtual enterprise integration. The Journal of Systems and Software 67 (2003

Conceptual framework for designing agri-food supply chains under uncertainty by mathematical programming models

This is an Author's Accepted Manuscript of an article published in [include the complete citation information for the final version of the article as published in the International Journal of Production Research (2018) © Taylor & Francis, available online at: http://doi.org/10.1080/00207543.2018.1447706[EN] Agri-food sector performance strongly impacts global economy, which means that developing optimisation models to support the decision-making process in agri-food supply chains (AFSC) is necessary. These models should contemplate AFSC¿s inherent characteristics and sources of uncertainty to provide applicable and accurate solutions. To the best of our knowledge, there are no conceptual frameworks available to design AFSC through mathematical programming modelling while considering their inherent characteristics and sources of uncertainty, nor any there literature reviews that address such characteristics and uncertainty sources in existing AFSC design models. This paper aims to fill these gaps in the literature by proposing such a conceptual framework and state of the art. The framework can be used as a guide tool for both developing and analysing models based on mathematical programming to design AFSC. The implementation of the framework into the state of the art validates its. Finally, some literature gaps and future research lines were identified.This first author was partially supported by the Programme of Formation of University Professors of the Spanish Ministry of Education, Culture, and Sport [grant number FPU15/03595]; the partial support of Project 'Development of an integrated maturity model for agility, resilience and gender perspective in supply chains (MoMARGE). Application to the agricultural sector.' Ref. GV/2017/025, funded by the Generalitat Valenciana. The other authors acknowledge the partial support of Project 691249, RUC-APS: Enhancing and implementing Knowledge based ICT solutions within high Risk and Uncertain Conditions for Agriculture Production Systems, funded by the EU under its funding scheme H2020-MSCA-RISE-2015.Esteso, A.; Alemany Díaz, MDM.; Ortiz Bas, Á. (2018). Conceptual framework for designing agri-food supply chains under uncertainty by mathematical programming models. International Journal of Production Research. 56(13):4418-4446. https://doi.org/10.1080/00207543.2018.1447706S44184446561

Reference Models for Digital Manufacturing Platforms

[EN] This paper presents an integrated reference model for digital manufacturing platforms, based on cutting edge reference models for the Industrial Internet of Things (IIoT) systems. Digital manufacturing platforms use IIoT systems in combination with other added-value services to support manufacturing processes at different levels (e.g., design, engineering, operations planning, and execution). Digital manufacturing platforms form complex multi-sided ecosystems, involving different stakeholders ranging from supply chain collaborators to Information Technology (IT) providers. This research analyses prominent reference models for IIoT systems to align the definitions they contain and determine to what extent they are complementary and applicable to digital manufacturing platforms. Based on this analysis, the Industrial Internet Integrated Reference Model (I3RM) for digital manufacturing platforms is presented, together with general recommendations that can be applied to the architectural definition of any digital manufacturing platform.This work has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 825631 and from the Operational Program of the European Regional Development Fund (ERDF) of the Valencian Community 2014-2020 IDIFEDER/2018/025.Fraile Gil, F.; Sanchis, R.; Poler, R.; Ortiz Bas, Á. (2019). Reference Models for Digital Manufacturing Platforms. Applied Sciences. 9(20):1-25. https://doi.org/10.3390/app9204433S125920Pedone, G., & Mezgár, I. (2018). Model similarity evidence and interoperability affinity in cloud-ready Industry 4.0 technologies. Computers in Industry, 100, 278-286. doi:10.1016/j.compind.2018.05.003Mehrpouya, M., Dehghanghadikolaei, A., Fotovvati, B., Vosooghnia, A., Emamian, S. S., & Gisario, A. (2019). The Potential of Additive Manufacturing in the Smart Factory Industrial 4.0: A Review. Applied Sciences, 9(18), 3865. doi:10.3390/app9183865Tran, Park, Nguyen, & Hoang. (2019). Development of a Smart Cyber-Physical Manufacturing System in the Industry 4.0 Context. Applied Sciences, 9(16), 3325. doi:10.3390/app9163325Fernandez-Carames, T. M., & Fraga-Lamas, P. (2019). A Review on the Application of Blockchain to the Next Generation of Cybersecure Industry 4.0 Smart Factories. IEEE Access, 7, 45201-45218. doi:10.1109/access.2019.2908780Moghaddam, M., Cadavid, M. N., Kenley, C. R., & Deshmukh, A. V. (2018). Reference architectures for smart manufacturing: A critical review. Journal of Manufacturing Systems, 49, 215-225. doi:10.1016/j.jmsy.2018.10.006Sutherland, W., & Jarrahi, M. H. (2018). The sharing economy and digital platforms: A review and research agenda. International Journal of Information Management, 43, 328-341. doi:10.1016/j.ijinfomgt.2018.07.004Corradi, A., Foschini, L., Giannelli, C., Lazzarini, R., Stefanelli, C., Tortonesi, M., & Virgilli, G. (2019). Smart Appliances and RAMI 4.0: Management and Servitization of Ice Cream Machines. IEEE Transactions on Industrial Informatics, 15(2), 1007-1016. doi:10.1109/tii.2018.2867643Gerrikagoitia, J. K., Unamuno, G., Urkia, E., & Serna, A. (2019). Digital Manufacturing Platforms in the Industry 4.0 from Private and Public Perspectives. Applied Sciences, 9(14), 2934. doi:10.3390/app9142934Digital Manufacturing Platforms, Factories 4.0 and beyondhttps://www.effra.eu/digital-manufacturing-platformsZero Defect Manufacturing Platform Project 2019https://www.zdmp.eu/Zezulka, F., Marcon, P., Vesely, I., & Sajdl, O. (2016). Industry 4.0 – An Introduction in the phenomenon. IFAC-PapersOnLine, 49(25), 8-12. doi:10.1016/j.ifacol.2016.12.002Announcing the IoT Industrie 4.0 Reference Architecturehttps://www.ibm.com/cloud/blog/announcements/iot-industrie-40-reference-architectureVelásquez, N., Estevez, E., & Pesado, P. (2018). Cloud Computing, Big Data and the Industry 4.0 Reference Architectures. Journal of Computer Science and Technology, 18(03), e29. doi:10.24215/16666038.18.e29Pisching, M. A., Pessoa, M. A. O., Junqueira, F., dos Santos Filho, D. J., & Miyagi, P. E. (2018). An architecture based on RAMI 4.0 to discover equipment to process operations required by products. Computers & Industrial Engineering, 125, 574-591. doi:10.1016/j.cie.2017.12.029Calvin, T. (1983). Quality Control Techniques for «Zero Defects». IEEE Transactions on Components, Hybrids, and Manufacturing Technology, 6(3), 323-328. doi:10.1109/tchmt.1983.113617

Guía docente de la asignatura de gestión de redes sociales

[ES] Dentro del currículo de un titulado por la Facultad de Administración de Empresas debe incluirse, entre sus competencias adquiridas, el conocimiento y las habilidades de gestión de los medios sociales, dada su influencia actual en la sociedad y en las organizaciones que tendrá que liderar. Con éste fin, exponemos una propuesta de guía docente. Nowadays inside of the student’s curriculum vitae with a degree of Business Administration should be the knowledge and control of the Social Media. He/She should have tools and experience to develop a Social Media program in their future organization, due to the current influence in the society and organizations. Herewith it is presented the lines of a course.Rius Sorolla, G.; Ortiz Bas, Á. (2013). Guía docente de la asignatura de gestión de redes sociales. En New changes in technology and innovation : INNODOCT'13 : International Conference on Innovation, Documentation and Teaching Technologies, held on-line in Valencia, Spain, on 6-7 May, 2013. https://riunet.upv.es/handle/10251/30843. Universidad Politécnica de Valencia. 425-429. http://hdl.handle.net/10251/82134S42542