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Journal articles on the topic 'Design Decision Support System'

Author: Grafiati

Published: 4 June 2021

Last updated: 6 February 2022

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1

Saha, G. K., and Sandeep Kumar. "Clinical Decision Support System Design Issues." International Journal of Applied Research on Information Technology and Computing 4, no. 1 (2013): 42. http://dx.doi.org/10.5958/j.0975-8089.4.1.004.

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2

Sun, Xiaoqian, Volker Gollnick, Yongchang Li, and Eike Stumpf. "Intelligent Multicriteria Decision Support System for Systems Design." Journal of Aircraft 51, no. 1 (January 2014): 216–25. http://dx.doi.org/10.2514/1.c032296.

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3

Barnett, Barbara J. "Perspectives on Decision Analysis for Decision Support System Design." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 37, no. 16 (October 1993): 1101. http://dx.doi.org/10.1177/154193129303701613.

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This symposium addresses the characterization of human decision making within a complex environment for the purpose of developing improved decision support systems. All of the work presented in this symposium was conducted under a Navy research program entitled “Tactical Decision Making Under Stress” (TADMUS). The overall objective of the TADMUS program is to improve tactical decision making of anti-air warfare (AAW) crew members within the Aegis cruiser's combat information center (CIC) under conditions of stress and uncertainty. The unique aspect of this effort is that each presentation addr

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4

Peng, Guang Yu. "Marketing Decision and Decision Support System Design Based on Web." Advanced Materials Research 850-851 (December 2013): 1048–51. http://dx.doi.org/10.4028/www.scientific.net/amr.850-851.1048.

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This paper analyzes the DSS characteristics about the marketing under the internet as well as the influencing factors of the market decisions, Studying the decision-making functions of marketing decision support system DSS. It proposed the marketing DSS design, logical structure and its implementation based on a data warehouse as the center, online analysis processing and data mining as a means.

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5

Gonçalves, José M., and Luis S. Pereira. "Decision Support System for Surface Irrigation Design." Journal of Irrigation and Drainage Engineering 135, no. 3 (June 2009): 343–56. http://dx.doi.org/10.1061/(asce)ir.1943-4774.0000004.

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6

ALY, A. A., and M. SUBRAMANIAM. "Design of an FMS decision support system." International Journal of Production Research 31, no. 10 (October 1993): 2257–73. http://dx.doi.org/10.1080/00207549308956856.

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7

Li, Ni, Runxiang Tan, Zhanpeng Huang, Chao Tian, and Guanghong Gong. "Agile Decision Support System for Aircraft Design." Journal of Aerospace Engineering 29, no. 2 (March 2016): 04015044. http://dx.doi.org/10.1061/(asce)as.1943-5525.0000514.

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8

Ho, J. K. K., and D. Sculli. "System complexity and the design of decision support systems." Systems Practice 8, no. 5 (October 1995): 505–16. http://dx.doi.org/10.1007/bf02281958.

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9

Jarupathirun, Suprasith, and Fatemeh “Mariam” Zahedi. "Dialectic decision support systems: System design and empirical evaluation." Decision Support Systems 43, no. 4 (August 2007): 1553–70. http://dx.doi.org/10.1016/j.dss.2006.03.002.

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10

Khatun, Madhury, and Shah J. Miah. "Design Methods for Decision Support Systems." International Journal of Business Intelligence Research 9, no. 1 (January 2018): 38–52. http://dx.doi.org/10.4018/ijbir.2018010103.

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This article reviews methods to the development of a decision support system (DSS) solution for small business owners/managers. The main objective of designing the DSS artefact is to support the strategic decision-making for achieving competitive advantages in the business-to-consumer (B2C) e-commerce environment. Many researchers in the DSS domain utilised various methods to design of information systems (IS) artefact, mostly intended for large businesses. Researchers have paid much attention to the business environment as a knowledge source for DSS design and development for the small busine

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11

Luong, L., J. He, K. Abhary, and L. Qiu. "A decision support system for cellular manufacturing system design." Computers & Industrial Engineering 42, no. 2-4 (April 2002): 457–70. http://dx.doi.org/10.1016/s0360-8352(02)00032-3.

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12

Septiana, Yosep, Dede Kurniadi, Asri Mulyani, and Wiyoga Baswardono. "Design of decision support system for blood analysis." MATEC Web of Conferences 197 (2018): 03018. http://dx.doi.org/10.1051/matecconf/201819703018.

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Blood analysis is a medical check by identifying blood that gives an explanation of health and is one way to detect certain conditions. Blood type determination is one of the scopes in a blood analysis. This research aims to design a decision support system for blood analysis Solver-oriented for the determination of blood type with ABO system (blood type system A, B, AB, and O) and Rhesus based on Immunohematology Concept theory. The system development method used is Big-Bang Model, with an object-oriented design approach. The result of this research is a software that can be used by health la

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13

Harit, Santhanam, G. Don Taylor, and C. Ray Asfahl. "A decision support system for container design in production systems." Integrated Manufacturing Systems 8, no. 4 (August 1997): 195–207. http://dx.doi.org/10.1108/09576069710182018.

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14

Dargam, Fátima C. C., and Erhard W. Perz. "A decision support system for power plant design." European Journal of Operational Research 109, no. 2 (September 1998): 310–20. http://dx.doi.org/10.1016/s0377-2217(98)00059-9.

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15

Lewis, L. F., and K. S. Keleman. "Issues in Group Decision Support System (GDSS) design." Journal of Studies in International Education 14, no. 6 (January 1, 1988): 347–54. http://dx.doi.org/10.1177/102831538801400605.

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16

Syaripuddin, Undang, Cepy Slamet, Hendri Prabowo, and Muhammad Ali Ramdhani. "Design of decision support system for santri admission." MATEC Web of Conferences 197 (2018): 03010. http://dx.doi.org/10.1051/matecconf/201819703010.

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Pesantren requires some new qualified students through selection process for deciding academic and behavioural fairness. In this context, it is reasonable to utilize an application of a Decision Support System (DSS) to accelerate the student admission mechanisms since the existing process is unable to serve as reliable and objective procedures. The aim of this study is to design a specific computerized application that can be used to capture data of some potential students and recording relevant data for pesantren. Using a structured approach for the system design method, selection-based value

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17

G. J. Wilmes, D. L. Martin, and R. J. Supalla. "Decision Support System for Design of Center Pivots." Transactions of the ASAE 37, no. 1 (1994): 165–75. http://dx.doi.org/10.13031/2013.28067.

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18

Vasconcellos, J. "A decision support system for floating platform design." Ocean Engineering 26, no. 9 (October 1999): 865–89. http://dx.doi.org/10.1016/s0029-8018(98)00008-0.

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19

Wollover, David. "Design-To-Cost Decision Support System (DTC-DSS)." Journal of Cost Analysis & Management 1, no. 1 (January 1999): 3–33. http://dx.doi.org/10.1080/15411656.1999.10462397.

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20

Liang, Ting-Peng, and Christopher V. Jones. "Design of a Self-evolving Decision Support System." Journal of Management Information Systems 4, no. 1 (June 1987): 59–82. http://dx.doi.org/10.1080/07421222.1987.11517786.

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21

Olewnik, Andrew, and Kemper Lewis. "A decision support framework for flexible system design." Journal of Engineering Design 17, no. 1 (January 2006): 75–97. http://dx.doi.org/10.1080/09544820500274019.

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22

Kim, Duck Young, and Paul Xirouchakis. "CO2DE: a decision support system for collaborative design." Journal of Engineering Design 21, no. 1 (February 2010): 31–48. http://dx.doi.org/10.1080/09544820802132444.

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23

Floyd Lewis, L., and Ken S. Keleman. "Issues in Group Decision Support System (GDSS) design." Journal of Information Science 14, no. 6 (December 1988): 347–54. http://dx.doi.org/10.1177/016555158801400605.

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24

Liu, Elim, Shih-Wen Hsiao, and Shih-Wei Hsiao. "A decision support system for product family design." Information Sciences 281 (October 2014): 113–27. http://dx.doi.org/10.1016/j.ins.2014.04.039.

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25

Ramesh, Balasubramaniam, and Kishore Sengupta. "Multimedia in a design rationale decision support system." Decision Support Systems 15, no. 3 (November 1995): 181–96. http://dx.doi.org/10.1016/0167-9236(94)00060-6.

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26

Syah, Arridha Zikra. "TSUKAMOTO FUZZY METHOD IN DECISSON SUPPORT SYSTEM DESIGN." JURTEKSI (Jurnal Teknologi dan Sistem Informasi) 7, no. 1 (December 21, 2020): 83–88. http://dx.doi.org/10.33330/jurteksi.v7i1.780.

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Abstract: PT Pinus Merah Abadi is one of the distributor companies in Indonesia engaged in selling snacks such as snacks and wafers with the Nabati brand. Every month the company offers increased incentives for its employees with predetermined conditions or targets. But in the process, the incentive calculation is managed manually using criteria by the General Affair Personnel who then data the results of the manual calculation are sent to the central office to obtain the disbursement of funds. Sometimes the results of these decisions are too rigid. The method used to solve this problem is the

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27

Kiyani, Shamim, Sanaz Abasi, Zahra Koohjani, and Azam Aslani. "Technical Requirement of Clinical Decision Support system for Diabetic Patients." Frontiers in Health Informatics 9, no. 1 (May 3, 2020): 31. http://dx.doi.org/10.30699/fhi.v9i1.217.

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Introduction: Diabetes is a public health problem which is originating an increment in the demand for health services. There is an obvious gap exists between actual clinical practice and optimal patient care, Clinical decision support systems (CDSSs) have been promoted as a promising approach that targets safe and effective diabetes management. The purpose of this article is reviewing diabetes decision support systems based on system design metrics, type and purpose of decision support systems. Materials and Methods: The literature search was performed in peer reviewed journals indexed in PubM

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28

de Graaf, P. M. A., G. C. van den Eijkel, H. J. L. M. Vullings, and B. A. J. M. de Mol. "A decision-driven design of a decision support system in anesthesia." Artificial Intelligence in Medicine 11, no. 2 (October 1997): 141–53. http://dx.doi.org/10.1016/s0933-3657(97)00026-2.

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29

Malmborg, Charles J. "A decision support system for automated guided vehicle system design." Applied Mathematical Modelling 16, no. 4 (April 1992): 170–80. http://dx.doi.org/10.1016/0307-904x(92)90055-8.

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30

Ramos, Juan, Lorena Bearzotti, Enrique Milani, Federico Woscoff, Mariana Gorsky, Carlos M. Carlett, Ma R. Galli, and Omar Chiotti. "Decision support systems generator for industrial companies Module I: Product design support system." Computers & Industrial Engineering 35, no. 1-2 (October 1998): 303–6. http://dx.doi.org/10.1016/s0360-8352(98)00080-1.

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31

Jiang, Ai De, Hong Yu Duan, Tai Yu Liu, and Shu Yan Wu. "Data Mining in Animal Husbandry Decision Support System." Advanced Materials Research 926-930 (May 2014): 2678–81. http://dx.doi.org/10.4028/www.scientific.net/amr.926-930.2678.

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This paper based on the actual needs of the current animal husbandry information management, with reference to the actual development of the situation and the various existing information decision support system for animal husbandry management, animal husbandry production in the existing management information systems, management information systems and other prairie feed business management information system as the basic data sources in order to achieve integrated management of farm animal husbandry information and data mining objectives by using data mining techniques to construct a set of

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32

Wilson, David J., and Ronald L. Droste. "Design Considerations for Watershed Management Decision Support Systems." Water Quality Research Journal 35, no. 2 (May 1, 2000): 163–88. http://dx.doi.org/10.2166/wqrj.2000.011.

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Abstract Increasing attention is being paid to the management of water resources on a watershed basis, necessitating a cross-disciplinary approach to data collection and analysis. Traditional assessments of water quality and quantity are being joined by assessments of biology, botany, geomorphology, and anthropological subjects such as economic valuation. This integrated problem domain calls for a reassessment of the information technology tools designed to support the management process. With a comprehensive requirements analysis pulled from a survey of water resource practitioners, the funct

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33

Sebastian, Patrick, and Yann Ledoux. "Decision support systems in preliminary design." International Journal on Interactive Design and Manufacturing (IJIDeM) 3, no. 4 (September 18, 2009): 223–26. http://dx.doi.org/10.1007/s12008-009-0077-5.

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34

Lin, Nan, and He Long Yu. "Research on Database Design of Corn Decision Support System." Applied Mechanics and Materials 263-266 (December 2012): 1457–60. http://dx.doi.org/10.4028/www.scientific.net/amm.263-266.1457.

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This research is about the application of decision support system in agriculture. The subject of study is the corn cultivated in Jilin province, northeast of China, and the research synthesizes expertise and experience on corn cultivation, plant protection, soil and fertilizer, and agriculture ecology from experts, integrating computer technology, principle of decision support system with corn production knowledge. The research also concerns decision support system for corn fertilization and diagnosis of insect disease and weed harming. Database is designed as the basis of decision support sys

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35

Booty, W. G., D. C. L. Lam, I. W. S. Wong, and P. Siconolfi. "Design and implementation of an environmental decision support system." Environmental Modelling & Software 16, no. 5 (July 2001): 453–58. http://dx.doi.org/10.1016/s1364-8152(01)00016-0.

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36

Chau-Hung, Wang, and Lin Tsai-Duan. "The Cognitive Based Design Process in Decision Support System." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 44, no. 1 (July 2000): 281. http://dx.doi.org/10.1177/154193120004400178.

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37

Churchill, Cameron J., and Brian W. Baetz. "Development of Decision Support System for Sustainable Community Design." Journal of Urban Planning and Development 125, no. 1 (March 1999): 17–35. http://dx.doi.org/10.1061/(asce)0733-9488(1999)125:1(17).

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38

Miller, David C., and James F. Davis. "Process Design Decision Support System for Developing Process Chemistry." Industrial & Engineering Chemistry Research 39, no. 8 (August 2000): 2954–69. http://dx.doi.org/10.1021/ie990713u.

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39

Sawar, Mohammad Jamil. "Design and development of a medical decision Support System." Journal of Decision Systems 5, no. 3-4 (January 1996): 219–48. http://dx.doi.org/10.1080/12460125.1996.10511690.

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40

Buede, Dennis M., Gerald Yates, and Carl A. Weaver. "Concept design of a program manager's decision support system." IEEE Transactions on Systems, Man, and Cybernetics SMC-15, no. 4 (July 1985): 457–68. http://dx.doi.org/10.1109/tsmc.1985.6313411.

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41

Daas, Dave, Toine Hurkmans, Sietse Overbeek, and Harry Bouwman. "Developing a decision support system for business model design." Electronic Markets 23, no. 3 (December 29, 2012): 251–65. http://dx.doi.org/10.1007/s12525-012-0115-1.

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42

Ning, Bo, Jiafeng Xu, Yangming Hu, Zhanguo Ma, Man Bi, and Lingbo Liu. "An expert decision support system for sandstone acidizing design." Journal of Petroleum Exploration and Production Technology 9, no. 3 (December 10, 2018): 1927–41. http://dx.doi.org/10.1007/s13202-018-0588-3.

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43

Calori, G., G. Finzi, and C. Tonezzer. "A decision support system for air quality network design." Environmental Monitoring and Assessment 33, no. 2 (November 1994): 101–14. http://dx.doi.org/10.1007/bf00548592.

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44

Özdemirel, Nur Evin, and Ahmet ЦSatir. "Design of a decision support system for detailed scheduling." Information & Management 12, no. 5 (May 1987): 247–56. http://dx.doi.org/10.1016/0378-7206(87)90003-6.

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45

Gianni, Marco, Vittorio Bucci, and Alberto Marinò. "System simulation as decision support tool in ship design." Procedia Computer Science 180 (2021): 754–63. http://dx.doi.org/10.1016/j.procs.2021.01.323.

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46

Bulger, Dan, and Harold Hunt. "The forest management decision support system project." Forestry Chronicle 67, no. 6 (December 1, 1991): 622–28. http://dx.doi.org/10.5558/tfc67622-6.

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The focus of a decision support system is much different from Management Information Systems (MIS) and data-based "decision support systems". Decision support systems, as defined by the authors, focus on decisions and decision makers, and on information. Technology is treated as a tool and data as the raw material. In many traditional systems the focus is on the technology, and the data is the "information", while decision makers are, to some extent, externalized.The purpose of the Forest Management Decision Support System (FMDSS) project is to develop a set of software tools for creating fore

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47

Kultygin, Oleg P., and Irina Lokhtina. "Business intelligence as a decision support system tool." Journal of Applied Informatics 16, no. 91 (February 26, 2021): 52–58. http://dx.doi.org/10.37791/2687-0649-2021-16-1-52-58.

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The relevance of the topic considered in the article is to solve the problems of designing management decision support systems for enterprises based on business analytics technology. The research purpose is to analyze the applied methodologies during the design stage of the enterprise information system, to develop principles for using management decision support systems based on business intelligence. The problem statement is to analyze the technologies available on the market, which deal with business analyst systems, their potential use for decision support systems, and to identify the main

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48

Cook, Gary J., and Monte R. Swain. "A Computerized Approach to Decision Process Tracing for Decision Support System Design." Decision Sciences 24, no. 5 (September 1993): 931–52. http://dx.doi.org/10.1111/j.1540-5915.1993.tb00497.x.

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49

Hirsch, Piotr, Michał Grochowski, and Kazimierz Duzinkiewicz. "Decision support system for design of long distance heat transportation system." Energy and Buildings 173 (August 2018): 378–88. http://dx.doi.org/10.1016/j.enbuild.2018.05.010.

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50

Ullman, David G., and Bruce D'Ambrosio. "Taxonomy for classifying engineering decision problems and support systems." Artificial Intelligence for Engineering Design, Analysis and Manufacturing 9, no. 5 (November 1995): 427–38. http://dx.doi.org/10.1017/s0890060400002742.

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AbstractThe design of even the simplest product requires thousands of decisions. Yet few of these decisions are supported with methods on paper or on computers. Is this because engineering design decisions do not need support or is it because techniques have yet to be developed that are usable on a wide basis? In considering this question a wide range of decision problem characteristics need to be addressed. In engineering design some decisions are made by individuals, others by teams – some are about the product and others about the processes that support the product – some are based on compl

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