Decision support systems classification in industry

Musbah Jumah Aqel, Omar A. Nakshabandi, Ayodeji Adeniyi


This research has presented a discussion of related literature on decision support systems (DSS) and its role in production systems. The first part of the research presents DSS and how this has evolved until 2010. The next part of the research provides a discussion of the decision making process and the data mining phases as these relate to DSS. The last part of the research presents further discussion of DSS and various perspectives on the criteria that could be used for DSS. The criteria in the classification of DSS includes the following: user relationship; orientation; scope of use; type and frequency of decision making; mode of assistance; focus area; objective; capacity; degree of guidance; and, degree of non-procedurality. The research also included a discussion of industry 4.0, which is known as the fourth revolution in the industry.


Decision Support Systems, DSS, Business, and Management Information Systems

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Agrawal, V., Panigrahi, B. K., &Subbarao, P. M. V. (2017). Intelligent decision support system for detection and root cause analysis of faults in coal mills. IEEE Transactions on Fuzzy Systems, 25(4), 934-944.

Arnott, D., &Pervan, G. (2016). A critical analysis of decision support systems research revisited: the rise of design science. In Enacting Research Methods in Information Systems (pp. 43-103). Palgrave Macmillan, Cham.

Brendel, A. B., Brennecke, J. T., Zapadka, P., & Kolbe, L. M. (2017). A Decision Support System for Computation of Carsharing Pricing Areas and its Influence on Vehicle Distribution.

[ 4]Cioca, M., & Filip, F. (2015). Decision Support Systems—A Bibliography 1947–2007. Database, 15(4), 10-14.

Dasgupta, D., & Gonzalez, F. A. (2001, May). An intelligent decision support system for intrusion detection and response. In International Workshop on Mathematical Methods, Models, and Architectures for Network Security (pp. 1-14). Springer, Berlin, Heidelberg.

Dweiri, F., Kumar, S., Khan, S. A., & Jain, V. (2016). Designing an integrated AHP based decision support system for supplier selection in automotive industry. Expert Systems with Applications, 62, 273-283.

Felsberger, A., Oberegger, B., & Reiner, G. (2016, October). A Review of Decision Support Systems for Manufacturing Systems. In SAMI@ iKNOW.

Fielder, A., Panaousis, E., Malacaria, P., Hankin, C., &Smeraldi, F. (2016). Decision support approaches for cyber security investment. Decision Support Systems, 86, 13-23.

Garg, H. (2017). A Novel Improved Accuracy Function for Interval Valued Pythagorean Fuzzy Sets and Its Applications in the Decision‐Making Process. International Journal of Intelligent Systems, 32(12), 1247-1260.

]]Ginzberg, M. J., &Stohr, E. A. (1982). Decision support systems: issues and perspectives.

Haettenschwiler, P. (2001). Neuesanwenderfreundlicheskonzept der entscheidungsunterstützung. Zurich, vdfHochschulverlag AG, 189-208.

Hasan, M. S., Ebrahim, Z., Mahmood, W. H. W., & Ab Rahman, M. N. (2017). Decision support system classification and its application in manufacturing sector: A review. JurnalTeknologi, 79(1), 153-163.

Hermann, Pentek, Otto, 2016: Design Principles for Industrie 4.0 Scenarios, accessed on 4 May 2016

Hogenboom, F., Frasincar, F., Kaymak, U., De Jong, F., & Caron, E. (2016). A survey of event extraction methods from text for decision support systems. Decision Support Systems, 85, 12-22.

Holsapple, C. W. 2008. DSS Architecture and Types. Handbook on Decision Support Systems 1: Basic Themes, F. Burstein and C. W. Holsapple, Eds. Springer Berlin Heidelberg. 163-189.

Hu Juneja, J. (2011). FirstHimanshu, and PrachiJuneja.". Management." Management Study Guide. WebCraftPvt Ltd.

Jain, S. (2010). Decision Support Systems. Presentation.

Liu, S., Delibasic, B., Butel, L., & Han, X. (2017). Sustainable knowledge-based decision support systems (DSS): perspectives, new challenges and recent advance. Industrial Management & Data Systems, 117(7), 1318-1322.

Masum, A. K., Beh, L. S., Azad, A. K., &Hoque, K. (2018). Intelligent Human Resource Information System (i-HRIS): A Holistic Decision Support Framework for HR Excellence. INTERNATIONAL ARAB JOURNAL OF INFORMATION TECHNOLOGY, 15(1), 121-130.

Noorollahi, Y., Yousefi, H., &Mohammadi, M. (2016). Multi-criteria decision support system for wind farm site selection using GIS. Sustainable Energy Technologies and Assessments, 13, 38-50.

Power, D. (2004). DSS?. DSS News, 5(19).

Power, D. J., &Heavin, C. (2017). Decision support, analytics, and business intelligence. Business Expert Press.

Rodela, R., Bregt, A. K., Ligtenberg, A., Pérez-Soba, M., &Verweij, P. (2017). The social side of spatial decision support systems: Investigating knowledge integration and learning. Environmental Science & Policy, 76, 177-184.

Romiszowski, A. J. (2016). Designing instructional systems: Decision making in course planning and curriculum design. Routledge.

Rose, D. C., & Bruce, T. J. (2018). Finding the right connection: what makes a successful decision support system?. Food and Energy Security, 7(1), e00123.

Samuel, O. W., Asogbon, G. M., Sangaiah, A. K., Fang, P., & Li, G. (2017). An integrated decision support system based on ANN and Fuzzy_AHP for heart failure risk prediction. Expert Systems with Applications, 68, 163-172.

Sander, T., & Pearson, S. (2018). Decision support for selection of cloud service providers. GSTF Journal on Computing (JoC), 1(1).

Torregrossa, D., Hernández-Sancho, F., Hansen, J., Cornelissen, A., Popov, T., & Schutz, G. (2017). Energy saving inwastewater treatment plants: A plant-generic cooperative decision support system. Journal of Cleaner Production, 167, 601-609.

Trianni, A., Cagno, E., &Farné, S. (2016). Barriers, drivers and decision-making process for industrial energy efficiency: A broad study among manufacturing small and medium-sized enterprises. Applied Energy, 162, 1537-1551.

Turban, E., J. E. Aronson, and T.-P. Liang. 2005. Decision Support Systems and Intelligent Systems. 7th ed. Pearson Prentice Hall.

Yang, G., Liu, L., Guo, P., & Li, M. (2017). A flexible decision support system for irrigation scheduling in an irrigation district in China. Agricultural water management, 179, 378-389.

Zulkafli, Z., Perez, K., Vitolo, C., Buytaert, W., Karpouzoglou, T., Dewulf, A., & Shaheed, S. (2017). User-driven design of decision support systems for polycentric environmental resources management. Environmental Modelling & Software, 88, 58-73.

Steven Alter, (1980) Decision support systems: Current practice and continuing challenges”, Addison-Wesley publication.

RobertBonczek, (1980), The evolving roles of models in decision support systems, Decision Sciences Journal.

Cristian Barz, Claudious Klaua, Jalba, Zoltan Erdei, Sarah Myriam Lydia Hahn, (2019) Approaches for the planning and implementation of industry 4.0, ,



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ISSN: 2303-4521

Digital Object Identifier DOI: 10.21533/pen

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License