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Information resource planning for a health-care system using an AHP-based goal programming method

Author

Listed:
  • C W Lee

    (Chinju National University)

  • N K Kwak

    (Saint Louis University)

Abstract

This paper presents a goal programming (GP) model which aids in allocating a health-care system's information resources pertinent to strategic planning. The model is developed based on the data obtained from a major health-care system in the United States. The overall objective is to design and evaluate a model for effective information resource planning in a health-care system. The proposed model: (1) utilizes a GP approach to reflect the multiple, conflicting goals of the health-care system; (2) employs a GP solution process to reflect multi-dimensional aspects of the resource allocation planning; and (3) allows for some degree of flexibility of decision-making with respect to resource allocation. The goals are decomposed and prioritized with respect to the corresponding criteria using the analytic hierarchy process (AHP). The model result is derived and discussed. This GP model facilitates decision-making planning process and managerial policy in health-care information resources planning and similar planning settings.

Suggested Citation

  • C W Lee & N K Kwak, 1999. "Information resource planning for a health-care system using an AHP-based goal programming method," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 50(12), pages 1191-1198, December.
    • Handle: RePEc:pal:jorsoc:v:50:y:1999:i:12:d:10.1057_palgrave.jors.2600821
    DOI: 10.1057/palgrave.jors.2600821
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    Citations

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    Cited by:

    1. Cinzia Colapinto & Raja Jayaraman & Simone Marsiglio, 2017. "Multi-criteria decision analysis with goal programming in engineering, management and social sciences: a state-of-the art review," Annals of Operations Research, Springer, vol. 251(1), pages 7-40, April.
    2. S. Abbas Sadatian & S. Davood Sadatian & Masoumeh Asiaei & S. Ali Reza Davoodi, 2022. "Providing a model for evaluating and selecting suppliers of three-phase self-sustaining cables using the interactive approach of analytical hierarchical process and goal programming," OPSEARCH, Springer;Operational Research Society of India, vol. 59(4), pages 1649-1666, December.
    3. Eylem Acar & Gulcan Karpuz Enucuk, 2022. "Using The Analytic Hierarchy Process For Store Manager Selection: A Real Case Study," EKOIST Journal of Econometrics and Statistics, Istanbul University, Faculty of Economics, vol. 0(36), pages 63-76, June.
    4. A Ishizaka & D Balkenborg & T Kaplan, 2011. "Does AHP help us make a choice? An experimental evaluation," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(10), pages 1801-1812, October.
    5. Cardoso, Teresa & Oliveira, Mónica Duarte & Barbosa-Póvoa, Ana & Nickel, Stefan, 2016. "Moving towards an equitable long-term care network: A multi-objective and multi-period planning approach," Omega, Elsevier, vol. 58(C), pages 69-85.
    6. Liberatore, Matthew J. & Nydick, Robert L., 2008. "The analytic hierarchy process in medical and health care decision making: A literature review," European Journal of Operational Research, Elsevier, vol. 189(1), pages 194-207, August.
    7. A Ishizaka & D Balkenborg & T Kaplan, 2011. "Influence of aggregation and measurement scale on ranking a compromise alternative in AHP," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(4), pages 700-710, April.
    8. Ho, William, 2008. "Integrated analytic hierarchy process and its applications - A literature review," European Journal of Operational Research, Elsevier, vol. 186(1), pages 211-228, April.
    9. Erdogmus, Senol & Kapanoglu, Muzaffer & Koc, Eylem, 2005. "Evaluating high-tech alternatives by using analytic network process with BOCR and multiactors," Evaluation and Program Planning, Elsevier, vol. 28(4), pages 391-399, November.
    10. Erdogmus, Senol & Aras, Haydar & Koç, Eylem, 2006. "Evaluation of alternative fuels for residential heating in Turkey using analytic network process (ANP) with group decision-making," Renewable and Sustainable Energy Reviews, Elsevier, vol. 10(3), pages 269-279, June.
    11. Malik, M.M. & Abdallah, S. & Hussain, M., 2016. "Assessing supplier environmental performance: Applying Analytical Hierarchical Process in the United Arab Emirates healthcare chain," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 1313-1321.
    12. Vaidya, Omkarprasad S. & Kumar, Sushil, 2006. "Analytic hierarchy process: An overview of applications," European Journal of Operational Research, Elsevier, vol. 169(1), pages 1-29, February.
    13. Kwak, N. K. & Lee, Chang W., 2002. "Business process reengineering for health-care system using multicriteria mathematical programming," European Journal of Operational Research, Elsevier, vol. 140(2), pages 447-458, July.
    14. Şeyda Gür & Tamer Eren, 2018. "Scheduling and Planning in Service Systems with Goal Programming: Literature Review," Mathematics, MDPI, vol. 6(11), pages 1-16, November.
    15. Topaloglu, Seyda, 2009. "A shift scheduling model for employees with different seniority levels and an application in healthcare," European Journal of Operational Research, Elsevier, vol. 198(3), pages 943-957, November.

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