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A multiple objective stochastic programming model for working capital management

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  • Masri, Hatem
  • Abdulla, Yomna

Abstract

The level of working capital is one of the main financial decisions affecting a firm's value, shareholder wealth, competitiveness, liquidity, and profitability. An aggressive (conservative) working capital policy has a positive (negative) impact on profitability but a negative (positive) impact on liquidity. In this paper, we propose a multiple objective stochastic programming model to select an efficient working capital strategy that takes into consideration not only the conflicting impact of working capital policy on the two firm objectives of liquidity and profitability but also the interrelationships and stochastic aspects of the components of working capital. The proposed model was used to help a start-up retailer to determine its optimal working capital.

Suggested Citation

  • Masri, Hatem & Abdulla, Yomna, 2018. "A multiple objective stochastic programming model for working capital management," Technological Forecasting and Social Change, Elsevier, vol. 131(C), pages 141-146.
    • Handle: RePEc:eee:tefoso:v:131:y:2018:i:c:p:141-146
    DOI: 10.1016/j.techfore.2017.05.006
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    Cited by:

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    2. Faisal Mahmood & Dongping Han & Nazakat Ali & Riaqa Mubeen & Umeair Shahzad, 2019. "Moderating Effects of Firm Size and Leverage on the Working Capital Finance–Profitability Relationship: Evidence from China," Sustainability, MDPI, vol. 11(7), pages 1-14, April.
    3. Zhe Liu & Shurong Li, 2022. "A numerical method for interval multi-objective mixed-integer optimal control problems based on quantum heuristic algorithm," Annals of Operations Research, Springer, vol. 311(2), pages 853-898, April.
    4. Carayannis, Elias G. & Ferreira, João J.M. & Jalali, Marjan S. & Ferreira, Fernando A.F., 2018. "MCDA in knowledge-based economies: Methodological developments and real world applications," Technological Forecasting and Social Change, Elsevier, vol. 131(C), pages 1-3.

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