Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

video

Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

sound

Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Version

Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

View:

291
Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Download:

111
Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Cites:

Information Journal Paper

Title

A STOCHASTIC MODEL FOR OPERATING ROOM PLANNING UNDER UNCERTAINTY AND EQUIPMENT CAPACITY CONSTRAINTS

Pages

  269-279

Keywords

DIFFERENTIAL EVOLUTION (DE) 
SAMPLE AVERAGE APPROXIMATION (SAA) 

Abstract

 In the present economic context, the operating theater is considered as a critical activity in health care management. This paper describes a model for operating room (OR) planning under constraint of a UNIQUE EQUIPMENT. At first level we schedule elective surgeries under the uncertainty of using a UNIQUE EQUIPMENT. At the second level we consider emergency surgeries, and at the third level a coefficient factor for surgeons is introduced in using this UNIQUE EQUIPMENT. The planning problem consists in scheduling a UNIQUE EQUIPMENT and assigning elective cases to different periods over a planning horizon to minimize the sum of elective patient related costs and overtime costs of ORs. The most important factor that we have focused on this paper is equipment resource constraint. Anew MATHEMATICAL PROGRAMMING MODEL is first proposed and at the second and third level, a new stochastic MATHEMATICAL PROGRAMMING MODEL is proposed. Then sample average approximation is presented to approximate the problem with sample size N and then Lingo is used as an exact approach. Because of NP-hardness, exact method does not work for large size problems, so a Metaheuristic approach (differential evolution) is proposed for large size problems. Numerical results show that important gains (approximately 3.5 % in overall cost) can be realized by this stochastic OR planning model.

Cites

  • No record.
  • References

    Cite

    APA: Copy

    RAZMI, J., BARATI, M., YOUSEFI, M.S., & HEYDARI, J.. (2015). A STOCHASTIC MODEL FOR OPERATING ROOM PLANNING UNDER UNCERTAINTY AND EQUIPMENT CAPACITY CONSTRAINTS. JOURNAL OF INDUSTRIAL ENGINEERING INTERNATIONAL, 11(2), 269-279. SID. https://sid.ir/paper/310021/en

    Vancouver: Copy

    RAZMI J., BARATI M., YOUSEFI M.S., HEYDARI J.. A STOCHASTIC MODEL FOR OPERATING ROOM PLANNING UNDER UNCERTAINTY AND EQUIPMENT CAPACITY CONSTRAINTS. JOURNAL OF INDUSTRIAL ENGINEERING INTERNATIONAL[Internet]. 2015;11(2):269-279. Available from: https://sid.ir/paper/310021/en

    IEEE: Copy

    J. RAZMI, M. BARATI, M.S. YOUSEFI, and J. HEYDARI, “A STOCHASTIC MODEL FOR OPERATING ROOM PLANNING UNDER UNCERTAINTY AND EQUIPMENT CAPACITY CONSTRAINTS,” JOURNAL OF INDUSTRIAL ENGINEERING INTERNATIONAL, vol. 11, no. 2, pp. 269–279, 2015, [Online]. Available: https://sid.ir/paper/310021/en

    Related Journal Papers

  • No record.
  • Related Seminar Papers

  • No record.
  • Related Plans

  • No record.
  • Recommended Workshops






    Move to top