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A Declarative Approach to Decision Support in Sustainable Supply Chain Problems

  • Paweł SitekEmail author
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 373)

Abstract

The paper presents the concept of a declarative approach to decision support for sustainable supply chain (SSC) problems. This approach proposed here combines the strengths of mathematical programming (MP) and constraint logic programming (CLP), which leads to a significant reduction in the search time necessary to find the solution, and allows solving larger problems.

It also presents the implementation of the proposed approach in the form of the declarative decision support platform (DDSP). The DDSP allows the implementation of complete decision-making models, constraints as well as a set of questions for these models. The illustrative examples presented in the paper illustrate efficiency and possibilities of this approach.

Keywords

Decision Support Constraint Logic Programming Mathematical Programming Optimization Sustainable Supply Chain 

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References

  1. 1.
    Apt, K., Wallace, M.: Constraint Logic Programming using Eclipse. Cambridge University Press, Cambridge (2006)CrossRefGoogle Scholar
  2. 2.
    Bocewicz, G., Nielsen, I., Banaszak, Z.: Iterative multimodal processes scheduling. Annual Reviews in Control 38(1), 113–132 (2014)CrossRefGoogle Scholar
  3. 3.
    Bockmayr, A., Kasper, T.: A Framework for Combining CP and IP, Branch-and-Infer, Constraint and Integer Programming: Toward a Unified Methodology. Operations Research/Computer Science Interfaces 27, 59–87 (2014)MathSciNetGoogle Scholar
  4. 4.
    Dang, Q.-V., Nielsen, I.E., Bocewicz, G.: A genetic algorithm-based heuristic for part-feeding mobile robot scheduling problem. In: Rodríguez, J.M.C., Pérez, J.B., Golinska, P., Giroux, S., Corchuelo, R. (eds.) Trends in PAAMS. AISC, vol. 157, pp. 85–92. Springer, Heidelberg (2012)CrossRefGoogle Scholar
  5. 5.
    Milano, M., Wallace, M.: Integrating Operations Research in Constraint Programming. Annals of Operations Research 175(1), 37–76 (2010)CrossRefzbMATHMathSciNetGoogle Scholar
  6. 6.
    Mula, J., Peidro, D., Diaz-Madronero, M., Vicens, E.: Mathematical programming models for supply chain production and transportation planning. European Journal of Operational Research 204, 377–390 (2010)CrossRefzbMATHMathSciNetGoogle Scholar
  7. 7.
    Seuring, S., Müller, M.: From a Literature Review to a Conceptual Framework for Sustainable Supply Chain Management. Journal of Cleaner Production 16, 1699–1710 (2008)CrossRefGoogle Scholar
  8. 8.
    Sitek, P., Wikarek, J.: A hybrid framework for the modelling and optimisation of decision problems in sustainable supply chain management. International Journal of Production Research, 1–18 (2015), doi:10.1080/00207543.2015.1005762Google Scholar
  9. 9.
    Grzybowska, K., Kovács, G.: Developing Agile Supply Chains – System Model, Algorithms, Applications. In: Jezic, G., Kusek, M., Nguyen, N.-T., Howlett, R.J., Jain, L.C. (eds.) KES-AMSTA 2012. LNCS, vol. 7327, pp. 576–585. Springer, Heidelberg (2012)CrossRefGoogle Scholar
  10. 10.
    Wikarek, J.: Implementation aspects of hybrid solution framework. In: Szewczyk, R., Zieliński, C., Kaliczyńska, M. (eds.) Recent Advances in Automation, Robotics and Measuring Techniques. AISC, vol. 267, pp. 317–328. Springer, Heidelberg (2014)CrossRefGoogle Scholar
  11. 11.
    Rossi, F., Van Beek, P., Walsh, T.: Handbook of Constraint Programming. Foundations of Artificial Intelligence. Elsevier Science Inc., New York (2006)zbMATHGoogle Scholar
  12. 12.
    Wikarek, J.: Implementation Aspects of Hybrid Solution Framework. In: Szewczyk, R., Zieliński, C., Kaliczyńska, M. (eds.) Recent Advances in Automation, Robotics and Measuring Techniques. AISC, vol. 267, pp. 317–328. Springer, Heidelberg (2014)CrossRefGoogle Scholar
  13. 13.
    Sitek, P., Wikarek, J.: A Hybrid Approach to the Optimization of Multiechelon Systems. Mathematical Problems in Engineering 2014, Article ID 925675 (2014), doi:10.1155/2014/925675Google Scholar
  14. 14.
    Sitek, P., Wikarek, J.: Hybrid Solution Framework for Supply Chain Problems. In: Omatu, S., Bersini, H., Corchado Rodríguez, J.M., González, S.R., Pawlewski, P., Bucciarelli, E. (eds.) Distributed Computing and Artificial Intelligence 11th International Conference. AISC, vol. 290, pp. 11–18. Springer, Heidelberg (2014)CrossRefGoogle Scholar
  15. 15.
    Eclipse 2014, Eclipse - The Eclipse Foundation open source community website (2014), http://www.eclipse.org (accessed August 12)

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Department of Control and Management SystemsKielce University of TechnologyKielcePoland

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