Integration of decision support systems to improve decision support performance

Decision support system (DSS) is a well-established research and development area. Traditional isolated, stand-alone DSS has been recently facing new challenges. In order to improve the performance of DSS to meet the challenges, research has been actively carried out to develop integrated decision support systems (IDSS). This paper reviews the current research efforts with regard to the development of IDSS. The focus of the paper is on the integration aspect for IDSS through multiple perspectives, and the technologies that support this integration. More than 100 papers and software systems are discussed. Current research efforts and the development status of IDSS are explained, compared and classified. In addition, future trends and challenges in integration are outlined. The paper concludes that by addressing integration, better support will be provided to decision makers, with the expectation of both better decisions and improved decision making processes

Event Management for Sensing Enterprises with Decision Support Systems

The final publication is available at Springer via http://dx.doi.org/10.1007/s40745-015-0034-z[EN] Sensing enterprises make use of new technologies to capture real-time information and fed constantly the decision making process. Decision support systems (DSS) are exposed to these real-time events and it is possible to start the decision process from scratch in case any unexpected internal and external events take place. Thus, an event monitoring and management system should interact with the DSS to manage events that might affect their decisions. It should act as a supra-system to identify when decisions made are still valid or need to be reanalysed. The traditional configuration of DSS (where they collect internal and external information of the organization and the decision-maker is involved in the decision-making process) should be extended to treat event management using a monitoring and management system, which monitors internal and external information and facilitate the introduction of no monitored events. This monitor and manager systems become more and more necessary due to the incessant incorporation of new technologies that enables the companies to be more context-sensitive. Furthermore, this new and/or more accurate information, which is obtained for the organization, requires a proper management.This research has been carried out in the framework of the project PAID-06-21Universitat Politècnica de València (Sistema de ayuda a la toma de decisiones ante decisiones no programadas en la planificación jerárquica de la producción) and GV/2014/010 Generalitat Valenciana (Identificación de la información proporcionada por los nuevos sistemas de detección accesibles mediante internet en el ámbito de las “sensing enterprises” para la mejora de la toma de decisiones en la planificación de la producción).Boza, A.; Alemany Díaz, MDM.; Cuenca, L.; Ortiz Bas, Á. (2015). Event Management for Sensing Enterprises with Decision Support Systems. Annals of Data Science. 2(1):103-109. https://doi.org/10.1007/s40745-015-0034-zS10310921Estupinyà P (2010) El ladrón de cerebros: Compartiendo el conocimiento científico de las mentes más brillantes. Penguin Random House Grupo Editorial EspañaVicens E, Alemany ME, Andrés C, Guarch JJ (2001) A design and application methodology for hierarchical production planning decision support systems in an enterprise integration context. Int J Prod Econ 74:5–20. doi: 10.1016/S0925-5273(01)00103-7Van Wezel W, Van Donk DP, Gaalman G (2006) The planning flexibility bottleneck in food processing industries. J Oper Manag 24:287–300. doi: 10.1016/j.jom.2004.11.001Winter R (1994) Multi-stage production controlling based on continuous, flexible abstraction hierarchies. IEPMÖzdamar L, Bozyel MA, Birbil SI (1998) A hierarchical decision support system for production planning (with case study). Eur J Oper Res 104:403–422. doi: 10.1016/S0377-2217(97)00016-7FInES FIESC (2012) FInES Research Roadmap 2025Shamsuzzoha Ah, Rintala S, Cunha PF, Ferreira PS, Kankaanpää T, Maia Carneiro L (2013) Event monitoring and management process in a non-hierarchical business network. In: Poler R, Carneiro L, Jasinski T, Zolghadri rc, Pedrazzoli P (eds) Intelligent non-hierarchical manufacturing networks. Wiley, New York, pp 349–374Committee of Sponsoring Organizations of the Treadway Commission (2004) COSO enterprise risk management-integrated framework: application techniques. Committee of Sponsoring Organizations of the Treadway CommissionSantucci G, Martinez C, Vlad-Câlcic D (2012) The sensing enterprise. FInES workshop at FIA 2012Vargas A, Cuenca L, Boza A, Sacala I, Moisescu M (2014) Towards the development of the framework for inter sensing enterprise architecture, J Intell Manuf, 1–18Anthony RN (1965) Planning and control systems: a framework for analysis. Harvard University, CambridgeSimon HA (1960) The new science of management decision. Harper & Brothers, New YorkShim JP, Warkentin M, Courtney JF, Power DJ, Sharda R, Carlsson C (2002) Past, present, and future of decision support technology. Decis Support Syst 33:111–126. doi: 10.1016/S0167-9236(01)00139-7Peng Y, Kou G, Shi Y, Chen ZA (2008) Descriptive framework for the field of data mining and knowledge discovery. Int J Inf Technol Decis Mak 7:639–682. doi: 10.1142/S0219622008003204Alarcón F, Alemany MME, Lario FC, Oltra RF (2011) La falta de homogeneidad del producto (FHP) en las empresas cerámicas y su impacto en la reasignación del inventario. Boletín de la Sociedad Española de Cerámica y Vidrio 50:49–58. doi: 10.3989/cyv.072011Cegarra J, van Wezel W (2011) A comparison of task analysis methods for planning and scheduling. In: Fransoo JC, Waefler T, Wilson JR (eds) Behavioral operations in planning and scheduling. Springer, Berlin Heidelberg, pp 323–338FP7-ICT (2012) ICT: Information and Communication Technologies: work programme 2013Barash G, Bartolini C, Wu L (2007) Measuring and improving the performance of an IT support organization in managing service incidents. In: 2nd IEEE/IFIP international workshop on business-driven IT management, BDIM ’07, pp 11–18Bartolini C, Stefanelli C, Tortonesi M (2010) SYMIAN: analysis and performance improvement of the IT incident management process. IEEE Trans Netw Serv Manag 7:132–144. doi: 10.1109/TNSM.2010.1009.I9P0321Boza A, Alemany MME, Alarcón F, Cuenca L (2013) A model-driven DSS architecture for delivery management in collaborative supply chains with lack of homogeneity in products. Prod Plan Control 25:650–661. doi: 10.1080/09537287.2013.798085Boza A, Ortiz A, Vicens E, Poler R (2009) A framework for a decision support system in a hierarchical extended enterprise decision context. In: Poler R, van Sinderen M, Sanchis R (eds) Enterprise interoperability. Springer, Berlin Heidelberg, pp 113–124Grefen P, Dijkman R (2013) Hybrid control of supply chains: a structured exploration from a systems perspective. Int J Prod Manag Eng 1:39–5

A decision support system for fostering smart energy efficient districts

The role of ICT is becoming prominent in tackling some of the urban societal challenges such as energy wastage and increasing carbon emissions. In this context, the concept of DAREED aims to deliver an integrated decision support system (DSS) to drive energy efficiency and low carbon activities at both a building and district level. The main aim of this paper is to present the technical concept of the Best Practices recommendation component of the DAREED system. This component seeks to compare and identify existing best practices to recommend practical actions to various stakeholders (e.g. building managers, citizens) in order to improve energy performance considering the global needs of a building. This paper also discusses the context of the three field trial sites (based in UK, Spain and Italy) in which the DAREED platform along with the best practices tool is to be tested and validated.This work evolved in the context of the project DAREED (Decision support Advisor for innovative business models and useR engagement for smart Energy Efficient Districts), www.dareed.eu, a project cofunded by the EC within FP7, Grant agreement no: 609082