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Longitudinal cooperative robust optimization model for sustainable supply chain management

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  • Jin, Maozhu
  • Song, Lijun
  • Wang, Yanan
  • Zeng, Yucheng

Abstract

This paper considers the trade-offs of two-tier supply chain enterprises in an uncertain environment, and can be formulated into a two-tiered multi-programming formula. The model we proposed considers green building alternatives’ cost, duration and carbon emissions uncertainties simultaneously, making it more realistic comparing to models in previous literature. In this model, the interval number and expected value based on Me are adopted to handle the uncertain coefficients contained in the objective function and constraints, then a stochastic-based robust optimization method is developed to get a solution that can resist the uncertain environment. To solve the complex and non-linear bi-level multi-follower model, an interactive fuzzy programming technique combined an effective multi-objective algorithm, NSGA-II, is designed as the solution method. Finally, an applicant for a contractor of Urban Construction Group and its sub-contractors is given as an illustration that demonstrates the practicality and efficiency of the proposed model. The sensitivity analysis towards the change of important parameters is also provided.

Suggested Citation

  • Jin, Maozhu & Song, Lijun & Wang, Yanan & Zeng, Yucheng, 2018. "Longitudinal cooperative robust optimization model for sustainable supply chain management," Chaos, Solitons & Fractals, Elsevier, vol. 116(C), pages 95-105.
    • Handle: RePEc:eee:chsofr:v:116:y:2018:i:c:p:95-105
    DOI: 10.1016/j.chaos.2018.09.008
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    References listed on IDEAS

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    1. Lin, Yi-Kuei & Yeh, Cheng-Ta, 2012. "Multi-objective optimization for stochastic computer networks using NSGA-II and TOPSIS," European Journal of Operational Research, Elsevier, vol. 218(3), pages 735-746.
    2. Baghalian, Atefeh & Rezapour, Shabnam & Farahani, Reza Zanjirani, 2013. "Robust supply chain network design with service level against disruptions and demand uncertainties: A real-life case," European Journal of Operational Research, Elsevier, vol. 227(1), pages 199-215.
    3. Glock, C. H. & Jaber, M. Y. & El Saadany, A., 2013. "Supply Chain Coordination with Emission Reduction Incentives," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 57672, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    4. Du, Shaofu & Zhu, Lili & Liang, Liang & Ma, Fang, 2013. "Emission-dependent supply chain and environment-policy-making in the ‘cap-and-trade’ system," Energy Policy, Elsevier, vol. 57(C), pages 61-67.
    5. Babu, A. J. G. & Suresh, Nalina, 1996. "Project management with time, cost, and quality considerations," European Journal of Operational Research, Elsevier, vol. 88(2), pages 320-327, January.
    6. James E. Falk & Joel L. Horowitz, 1972. "Critical Path Problems with Concave Cost-Time Curves," Management Science, INFORMS, vol. 19(4-Part-1), pages 446-455, December.
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    Cited by:

    1. Huang, Yubo & Dong, Hongli & Zhang, Weidong & Lu, Junguo, 2019. "Stability analysis of nonlinear oscillator networks based on the mechanism of cascading failures," Chaos, Solitons & Fractals, Elsevier, vol. 128(C), pages 5-15.

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