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Linear Programming Models With Changeable Parameters — Theoretical Analysis On "Taking Loss At The Ordering Time And Making Profit At The Delivery Time"

Author

Listed:
  • CHIEH YOW CHIANGLIN

    (Department of Finance and Institute of Finance and Information, National Kaohsiung University of Applied Sciences, 415, Chien-Kung Rd., Kaohsiung 807, Taiwan)

  • TSUNG CHIH LAI

    (Institute of Information Management, National Chiao Tung University, 100, Ta-Hsueh Rd., Hsinchu 300, Taiwan)

  • PO LUNG YU

    (Institute of Information Management, National Chiao Tung University, 100, Ta-Hsueh Rd., Hsinchu 300, Taiwan)

Abstract

Corporate competence sets can be expanded through capital investment and be dynamically changed overtime, which can explain the phenomenon of "taking loss at the ordering time and making profit at the time of delivery". Such phenomenon has existed in practice for a long time, but there are no mathematical model that can explain it adequately. This paper utilizes multiple criteria and multiple constraint levels linear programming (MC2LP) model and its extended techniques to explore the linear programming models with changeable parameters. The parameters include: unit profit, available resources, and input-output coefficients of production function. With those parameters changed with capital investment and/or time, we study how to find dynamic best solutions to make "taking loss at the ordering time and making profit at the time of delivery" feasible. For more general cases we also sketch a generalized mathematical programming model with changeable parameters and control variables.

Suggested Citation

  • Chieh Yow Chianglin & Tsung Chih Lai & Po Lung Yu, 2007. "Linear Programming Models With Changeable Parameters — Theoretical Analysis On "Taking Loss At The Ordering Time And Making Profit At The Delivery Time"," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 6(04), pages 577-598.
    • Handle: RePEc:wsi:ijitdm:v:06:y:2007:i:04:n:s0219622007002745
    DOI: 10.1142/S0219622007002745
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    Cited by:

    1. Ming Hung Lin & Mei Hua Huang & Wan Chun Hsiung, 2014. "The Learning Feature of Deep Knowledge and Its Relationship With Exercise," SAGE Open, , vol. 4(2), pages 21582440145, May.
    2. Po-Lung Yu & Yen-Chu Chen, 2012. "Dynamic multiple criteria decision making in changeable spaces: from habitual domains to innovation dynamics," Annals of Operations Research, Springer, vol. 197(1), pages 201-220, August.

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