Gestão & Produção
https://gestaoeproducao.com/article/doi/10.1590/0104-530x5624-20
Gestão & Produção
SEÇÃO TEMÁTICA

An enterprise model on Sensing, Smart, and Sustainable (S

Thales Botelho de Sousa; Juliana Suemi Yamanari; Fábio Müller Guerrini

Downloads: 0
Views: 19

Abstract

Abstract Organizations are being highly pressured to increase their competitiveness in order to deal with dynamic and turbulent markets. The development of an intelligent manufacturing system has been identified as an effective way to increase the competitiveness of enterprises. Traditional companies need models, skills, processes, and technologies to face the challenges imposed by today´s highly competitive markets, which require constant innovation. Sensing, Smart, and Sustainable (S^3) Enterprises play an important role in the digitization of strategies, decisions, and operations. They become efficient in facing the challenges intrinsic to the digital economy and intelligent manufacturing by applying the concepts of detection and monitoring, intelligence, and sustainability. The extant literature indicates the need for the development of methods and enterprise models that portray the reality of S^3 Enterprises. This paper presents an enterprise model to facilitate the formalization of S^3 Enterprises and help understand the dynamics of their operations. Applying the For Enterprise Modeling (4EM) method, this proposed enterprise model documents the goals, business rules, processes, and concepts of S^3 Enterprises. The contribution of this paper is the identification of guiding principles that allow companies interested in applying the S^3 concepts to have a basic reference mapped through perspectives of different knowledge domains.

Keywords

Sensing Enterprise, Smart Enterprise, Sustainable Enterprise, Enterprise modeling, Intelligent manufacturing

Referências

Agostinho C., Jardim-Gonçalves R. Sustaining interoperability of networked liquid-sensing enterprises: a complex systems perspective. Annual Reviews in Control. 2015;39:128-43.

Almada-Lobo F. The Industry 4.0 Revolution and the Future of Manufacturing Execution Systems (MES). Journal of Innovation Management. 2015;3(4):16-21.

Babiceanu R. F., Seker R. Big data and virtualization for manufacturing cyberphysical systems: A survey of the current status and future outlook. Computers in Industry. 2016;81:128-37.

Berio G., Vernadat F. Enterprise modelling with CIMOSA: functional and organizational aspects. Production Planning and Control. 2001;12(2):128-36.

Bertoni M., Bordegoni M., Cugini U., Regazzoni D., Rizzi C. PLM paradigm: How to lead BPR within the Product Development field. Computers in Industry. 2009;60(7):476-84.

Bhanot N., Rao P. V., Deshmukh S. G. An integrated approach for analysing the enablers and barriers of sustainable manufacturing. Journal of Cleaner Production. 2017;142(Pt 4):4412-39.

Braha D., Stacey B., Bar-Yam Y. Corporate competition: a self-organized network. Social Networks. 2011;33(3):219-30.

Brodsky A., Shao G., Krishnamoorthy M., Narayanan A., Menascé D., Ronay A. Analysis and optimization based on reusable knowledge base of process performance models. International Journal of Advanced Manufacturing Technology. 2017;88(1-4):337-57.

Bubenko J., Brash D., Stirna J. EKD user guide. ELEKTRA: Electrical Enterprise Knowledge for Transforming Applications. 1998.

Bubenko J., Persson A., Stirna J. EKD D3: User guide of the knowledge management approach using enterprise knowledge patterns. 2001.

Busquets J., Rodon J., Wareham J. Adaptability in smart business networks: an exploratory case in the insurance industry. Decision Support Systems. 2009;47(4):287-96.

Camarinha-Matos L. M., Afsarmanesh H. A comprehensive modeling framework for collaborative networked organizations. Journal of Intelligent Manufacturing. 2007;18(5):529-42.

Camarinha-Matos L. M., Afsarmanesh H. On reference models for collaborative networked organizations. International Journal of Production Research. 2008;46(9):2453-69.

Camarinha-Matos L. M., Afsarmanesh H., Galeano N., Molina A. Collaborative networked organizations: concepts and practice in manufacturing enterprises. Computers & Industrial Engineering. 2009;57(1):46-60.

Camarinha-Matos L. M., Fornasiero R., Afsarmanesh H. Collaborative networks as a core enabler of industry 4.0. IFIP Advances in Information and Communication Technology. 2017;506:3-17.

Carvalho H. L., Guerrini F. M. Reference model for implementing ERP systems: an analytical innovation networks perspective. Production Planning and Control. 2017;28(4):281-94.

Carvalho K. D., Schwarzelmüller A. F. O humano e o tecnológico nas organizações: tecnologia multimídia: um novo instrumento de conhecimento. Tempo Brasileiro. 2006;165:159-81.

Cervo A. L., Bervian P. A., Silva R. Metodologia científica. 2007.

Chardine-Baumann E., Botta-Genoulaz V. A framework for sustainable performance assessment of supply chain management practices. Computers & Industrial Engineering. 2014;76:138-47.

Chavarria-Barrientos D., Batres R., Perez R., Wright P. K., Molina A. A step towards customized product realization: methodology for Sensing, Smart and Sustainable Enterprise. IFIP Advances in Information and Communication Technology. 2016;480:327-39.

Chavarria-Barrientos D., Batres R., Wright P. K., Molina A. A methodology to create a sensing, smart and sustainable manufacturing enterprise. International Journal of Production Research. 2018;56(1-2):584-603.

Chavarria-Barrientos D., Camarinha-Matos L. M., Molina A. Achieving the sensing, smart and sustainable “everything”.. Collaboration in a Data-Rich World. PRO-VE 2017. IFIP Advances in Information and Communication Technology.. 2017.

Chen D., Doumeingts G., Vernadat F. Architectures for enterprise integration and interoperability: past, present and future. Computers in Industry. 2008;59(7):647-59.

Chiu Y. L. A. Towards sustainable enterprises: the impact factor of climate change for corporate responsibility and performance. European Journal of Law and Economics. 2015;40(2):341-65.

Christopherson S., Kitson M., Michie J. Innovation, networks and knowledge exchange. Cambridge Journal of Regions, Economy and Society. 2008;1(2):165-73.

Cortés D., Ramírez J., Villagómez L. E., Batres R., Molina A., Velilla A., Lozano G., González E., Puente J., Esparza G., Cruz N. A model for plant digitalisation, simulation and improvement: a case study in the automotive tier one supplier.. 2019:1-6.

Cretan A., Coutinho C., Bratu B., Jardim-Goncalves R. NEGOSEIO: a framework for negotiations toward sustainable enterprise interoperability. Annual Reviews in Control. 2012;36(2):291-9.

Daaboul J., Castagna P., Cunha C., Bernard A. Value network modelling and simulation for strategic analysis: a discrete event simulation approach. International Journal of Production Research. 2014;52(17):5002-20.

Davis J., Edgar T., Porter J., Bernaden J., Sarli M. Smart manufacturing, manufacturing intelligence and demand-dynamic performance. Computers & Chemical Engineering. 2012;47:145-56.

De La Fuente M. V., Ros L., Ortiz A. Enterprise modelling methodology for forward and reverse supply chain flows integration. Computers in Industry. 2010;61(7):702-10.

Elkhodr M., Shahrestani S., Cheung H. The internet of things: new interoperability, management and security challenges. International Journal of Network Security & Its Applications. 2016;8(2):85-102.

Eschenbächer J., Seifert M., Thoben K. D. Improving distributed innovation processes in virtual organisations through the evaluation of collaboration intensities. Production Planning and Control. 2011;22(5-6):473-87.

Ferro-Beca M. D., Sarraipa J., Agostinho C., Gigante F., Jose-Nunez M., Jardim-Goncalves R. A framework for enterprise context analysis based on semantic principles. Computer Science and Information Systems. 2015;12(3):931-60.

Fetterman D. M., Wandersman A. Empowerment evaluation: principles in practice.. 2005.

Filos E. Smart organizations in the digital age.. Integration of ICT in smart organizations.. 2006.

Gomes L. P. C., Marques D. M. N., Guerrini F. M. Self-organizing Six Sigma Program: as-is model and need for changes. Gestão & Produção. 2017;24(1):95-107.

Goranson H. T., Goranson T. The agile virtual enterprise: cases, metrics, tools.. 1992.

Guerrini F. M., Pellegrinotti C. C. Reference model for collaborative management in the automotive industry. Production Planning and Control. 2016;27(3):183-97.

Han K. H., Park J. W. Process-centered knowledge model and enterprise ontology for the development of knowledge management system. Expert Systems with Applications. 2009;36(4):7441-7.

Hofmann E., Rüsch M. Industry 4.0 and the current status as well as future prospects on logistics. Computers in Industry. 2017;89:23-34.

Jardim-Gonçalves R., Grilo A., Popplewell K. Novel strategies for global manufacturing systems interoperability. Journal of Intelligent Manufacturing. 2016;27(1):1-9.

Jia S., Tang R., Lv J. Machining activity extraction and energy attributes inheritance method to support intelligent energy estimation of machining process. Journal of Intelligent Manufacturing. 2016;27(3):595-616.

Kash D. E., Rycroft R. Emerging patterns of complex technological innovation. Technological Forecasting and Social Change. 2002;69(6):581-606.

Kassem M., Dawood N. N., Mitchell D. A structured methodology for enterprise modeling: a case study for modeling the operation of a british organization. Journal of Information Technology in Construction. 2011;16:381-410.

Kim D. B., Denno P. O., Jones A. T. A model-based approach to refine process parameters in smart manufacturing. Concurrent Engineering, Research and Applications. 2015;23(4):365-76.

Lakhoua M. N., Rahmouni M. Investigation of the methods of the enterprise modeling. African Journal of Business Management. 2011;5(16):6845-52.

Lee Y. S., Chung S. H. An efficient distributed scheduling algorithm for mobility support in IEEE 802.15. 4e DSME-based industrial wireless sensor networks. International Journal of Distributed Sensor Networks. 2016;12(2):1-14.

Leitão P., Colombo A. W., Karnouskos S. Industrial automation based on cyber-physical systems technologies: prototype implementations and challenges. Computers in Industry. 2016;81:11-25.

Li Q., Luo H., Xie P. X., Feng X. Q., Du R. Y. Product whole life-cycle and omni-channels data convergence oriented enterprise networks integration in a sensing environment. Computers in Industry. 2015;70:23-45.

Liu M., Ma J., Lin L., Ge M., Wang Q., Liu C. Intelligent assembly system for mechanical products and key technology based on internet of things. Journal of Intelligent Manufacturing. 2017;28(2):271-99.

Luthar S. S., Cicchetti D., Becker B. The construct of resilience: a critical evaluation and guidelines for future work. Child Development. 2000;71(3):543-62.

Marques M., Agostinho C., Zacharewicz G., Jardim-Gonçalves R. Decentralized decision support for intelligent manufacturing in Industry 4.0. Journal of Ambient Intelligence and Smart Environments. 2017;9(3):299-313.

Mauricio-Moreno H., Miranda J., Chavarría D., Ramírez-Cadena M., Molina A. Design S3-RF (Sustainable x Smart x Sensing-Reference Framework) for the future manufacturing enterprise. IFAC-PapersOnLine. 2015;48(3):58-63.

Maymand M. M., Farsijani H., Moosavi S. S. T. Investigation of the key success factors in virtual tourism. Indian Journal of Science and Technology. 2012;5(7):3073-80.

Mertins K., Jochem R. Architectures, methods and tools for enterprise engineering. International Journal of Production Economics. 2005;98(2):179-88.

Miranda J., Pérez-Rodríguez R., Borja V., Wright P. K., Molina A. Sensing, smart and sustainable product development (S3 product) reference framework. International Journal of Production Research. 2019;57(14):4391-412.

Miranda J., Ponce P., Molina A., Wright P. Sensing, smart and sustainable technologies for Agri-Food 4.0. Computers in Industry. 2019;108:21-36.

Moisescu M. A., Sacala I. S. Towards the development of interoperable sensing systems for the future enterprise. Journal of Intelligent Manufacturing. 2016;27(1):33-54.

Molina A., Ponce P., Ramirez M., Sanchez-Ante G. Designing a S 2-enterprise (Smart x Sensing) reference model.. 2014:384-95.

Musa A., Gunasekaran A., Yusuf Y., Abdelazim A. Embedded devices for supply chain applications: towards hardware integration of disparate technologies. Expert Systems with Applications. 2014;41(1):137-55.

Manual de Oslo: proposta de diretrizes para coleta e interpretação de dados sobre inovação tecnológica. 2005.

Pádua S. I. D. Estudo sobre a aplicação do método de avaliação do Modelo de Processos de Negócio do EKD. Produção. 2012;22(1):155-72.

Pádua S. I. D., Cazarini E. W., Inamasu R. Y. Modelagem organizacional: captura dos requisitos organizacionais no desenvolvimento de sistemas de informação. Gestão & Produção. 2004;11(2):197-209.

Palmer C., Urwin E. N., Young R. I. M., Marilungo E. A reference ontology approach to support global product-service production. International Journal of Product Lifecycle Management. 2017;10(1):86-106.

Panetto H., Iung B., Ivanov D., Weichhart G., Wang X. Challenges for the cyber-physical manufacturing enterprises of the future. Annual Reviews in Control. 2019;47:200-13.

Peko G., Dong C. S., Sundaram D. Adaptive Sustainable enterprises. Mobile Networks and Applications. 2014;19(5):608-17.

Rajput S., Singh S. P. Connecting circular economy and industry 4.0. International Journal of Information Management. 2019;49:98-113.

Ramani S. V., Thutupalli A., Urias E. High-value hi-tech product introduction in emerging countries. Qualitative Market Research. 2017;20(2):208-25.

Runfola A., Perna A., Baraldi E., Gregori G. L. The use of qualitative case studies in top business and management journals: A quantitative analysis of recent patterns. European Management Journal. 2017;35(1):116-27.

Sankuhl K., Stirna J., Persson A., Wißotzki M. Enterprise modeling: tackling business challenges with the 4EM method.. 2014.

Schumacher A., Erol S., Sihn W. A maturity model for assessing Industry 4.0 readiness and maturity of manufacturing enterprises. Procedia CIRP. 2016;52:161-6.

Schumpeter J. A. Capitalism, socialism, and democracy.. 2008.

Seiger R., Keller C., Niebling F., Schlegel T. Modelling complex and flexible processes for smart cyber-physical environments. Journal of Computational Science. 2015;10:137-48.

Shrivastava P., Kennelly J. J. Sustainability and place-based enterprise. Organization & Environment. 2013;26(1):83-101.

Stanescu A. M., Cretan A., Coutinho C., Jardim-Goncalves R. Intelligent negotiation mechanism for supporting the interoperability within the sensing enterprise. IFAC Proceedings Volumes. 2013;46(9):1328-33.

Tan Y., Vuran M. C., Goddard S. Spatio-temporal event model for cyber-physical systems.. 2009:44-50.

Tortorella G. L., Vergara A. M. C., Garza-Reyes J. A., Sawhney R. Organizational learning paths based upon Industry 4.0 adoption: an empirical study with Brazilian manufacturers. International Journal of Production Economics. 2019;219:284-94.

Trentesaux D., Borangiu T., Thomas A. Emerging ICT concepts for smart, safe and sustainable industrial systems. Computers in Industry. 2016;81:1-10.

Turrioni J. B., Mello C. H. P. Metodologia de pesquisa em engenharia de produção: estratégias, métodos e técnicas para condução de pesquisas quantitativas e qualitativas.. 2012.

Vargas A., Cuenca L., Boza A., Sacala I., Moisescu M. Towards the development of the framework for inter sensing enterprise architecture. Journal of Intelligent Manufacturing. 2016;27(1):55-72.

Veza I., Mladineo M., Gjeldum N. Managing innovative production network of smart factories. IFAC-PapersOnLine. 2015;48(3):555-60.

Voss C., Tsikriktsis N., Frohlich M. Case research in operations management. International Journal of Operations & Production Management. 2002;22(2):195-219.

Weichhart G., Molina A., Chen D., Whitman L. E., Vernadat F. Challenges and current developments for sensing, smart and sustainable enterprise systems. Computers in Industry. 2016;79:34-46.

Wright P. Cyber-physical product manufacturing. Manufacturing Letters. 2014;2(2):49-53.

Wu D., Liu S., Zhang L., Terpenny J., Gao R. X., Kurfess T., Guzzo J. A. A fog computing-based framework for process monitoring and prognosis in cyber-manufacturing. Journal of Manufacturing Systems. 2017;43(part 1):25-34.

Yue X., Cai H., Yan H., Zou C., Zhou K. Cloud-assisted industrial cyber-physical systems: an insight. Microprocessors and Microsystems. 2015;39(8):1262-70.

Zdravković M., Noran O., Trajanovic M., Strahonja V., Vrček N., Plantak Vukovac D., Barry C., Lang M., Linger H., Schneider C. Towards sensing information systems.. 2014.

Zhang Y., Qian C., Lv J., Liu Y. Agent and cyber-physical system based self-organizing and self-adaptive intelligent shopfloor. IEEE Transactions on Industrial Informatics. 2017;13(2):737-47.

Zhong R. Y., Lan S., Xu C., Dai Q., Huang G. Q. Visualization of RFID-enabled shopfloor logistics Big Data in Cloud Manufacturing. International Journal of Advanced Manufacturing Technology. 2016;84(1-4):5-16.

Zollo M., Cennamo C., Neumann K. Beyond what and why: understanding organizational evolution towards sustainable enterprise models. Organization & Environment. 2013;26(3):241-59.

5f7b6a6d0e8825943067ca72 gp Articles

Gest. Prod.

Share this page
Page Sections