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Food Supply Chain Optimization – A Hybrid Approach

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Distributed Computing and Artificial Intelligence, Special Sessions, 15th International Conference (DCAI 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 801))

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Abstract

The food sector is a very complex environment influenced by economics, business, industrial, technological, transportation, information, legal and other factors. These factors shape the level of the availability of food, the nature of food products and the delivery method. The efficient and timely distribution of food products is critical for supporting the demands of contemporary consumer market. Without optimal food distribution, modern societies will not survive and will not develop. This paper presents the concepts of hybrid approach to optimization of food supply chain management (FSCM). This approach combines the strengths of constraint logic programming (CLP) and mathematical programming (MP), which leads to a significant reduction in the optimization time and modeling of any type of constraints. Moreover, this paper presents the formal model for optimization of FSCM with different objective functions. Several computational experiments were performed for compare hybrid approach to MP-based approach.

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References

  1. Banaeian, N., Mobli, H., Nielsen, I.E., Omid, M.: Criteria definition and approaches in green supplier selection – a case study for raw material and packaging of food industry. Prod. Manuf. Res. 3, 149–168 (2015)

    Google Scholar 

  2. Schrijver, A.: Theory of Linear and Integer Programming. Wiley, New York (1998)

    MATH  Google Scholar 

  3. Sitek, P., Wikarek, J.: A hybrid programming framework for modeling and solving constraint satisfaction and optimization problems. Sci. Program. 2016 (2016). Article ID 5102616, https://doi.org/10.1155/2016/5102616

    Article  Google Scholar 

  4. Sitek, P., Wikarek, J., Nielsen, P.: A constraint-driven approach to food supply chain management. Ind. Manag. Data Syst. 117(9) (2017). Article number 600090, https://doi.org/10.1108/IMDS-10-2016-0465

    Article  Google Scholar 

  5. Rossi, F., Van Beek, P., Walsh, T.: Handbook of Constraint Programming (Foundations of Artificial Intelligence). Elsevier Science Inc., New York (2006)

    MATH  Google Scholar 

  6. Bocewicz, G., Nielsen, I., Banaszak, Z.: Iterative multimodal processes scheduling. Annu. Rev. Control 38(1), 113–132 (2014)

    Article  Google Scholar 

  7. Sitek, P., Wikarek J., Grzybowska, K.: A multi-agent approach to the multi-echelon capacitated vehicle routing problem. In: Corchado J.M. et al. (eds.) Highlights of Practical Applications of Heterogeneous Multi-Agent Systems. The PAAMS Collection. PAAMS 2014. Communications in Computer and Information Science, vol 430. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-07767-3_12

    Google Scholar 

  8. Hooker, J.N.: Logic, optimization, and constraint programming. INFORMS J. Comput. 14(4), 295–321 (2002)

    Article  MathSciNet  Google Scholar 

  9. Bockmayr, A., Kasper, T.: A framework for combining CP and IP, branch-and-infer, constraint and integer programming. In: Toward a Unified Methodology Operations Research/Computer Science Interfaces, pp. 59–87, 27 (2014)

    Google Scholar 

  10. Milano, M., Wallace, M.: Integrating operations research in constraint programming. Ann. Oper. Res. 175(1), 37–76 (2010)

    Article  MathSciNet  Google Scholar 

  11. Kłosowski, G., Gola, A., Świć, A.: Application of fuzzy logic in assigning workers to production tasks. In: 13th International Conference Distributed Computing and Artificial Intelligence, AISC, vol. 474, pp. 505–513 (2016). https://doi.org/10.1007/978-3-319-40162-1_54

    Chapter  Google Scholar 

  12. Nielsen, I., Dang, Q., Nielsen, P., Pawlewski, P.: Scheduling of mobile robots with preemptive tasks. In: Advances in Intelligent Systems and Computing, vol. 290, pp. 19–27 (2014). https://doi.org/10.1007/978-3-319-07593-8_3

    Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Control and Management Systems, Kielce University of Technology, Kielce, Poland

    Paweł Sitek, Jarosław Wikarek & Tadeusz Stefański

Authors
  1. Paweł Sitek
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  2. Jarosław Wikarek
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  3. Tadeusz Stefański
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Corresponding author

Correspondence to Paweł Sitek .

Editor information

Editors and Affiliations

  1. BISITE Digital Innovation Hub, University of Salamanca, Salamanca, Spain

    Sara Rodríguez

  2. BISITE Digital Innovation Hub, University of Salamanca, Salamanca, Spain

    Javier Prieto

  3. GECAD - Instituto Superior de Engenharia, Porto, Portugal

    Pedro Faria

  4. Department of Computer Science and Production Management, University of Zielona Góra, Zielona Góra, Poland

    Sławomir Kłos

  5. Computing Science and Artificial Intelligence, Rey Juan Carlos University, Móstoles, Madrid, Spain

    Alberto Fernández

  6. Basque Center for Applied Mathematics, Bilbao, Spain

    Santiago Mazuelas

  7. Basque Center for Applied Mathematics, Universidad de Alcalá, Alcalá de Henares, Spain

    M. Dolores Jiménez-López

  8. Departamento de Informática y Automática, University of Salamanca, Salamanca, Spain

    María N. Moreno

  9. Departamento de Sistemas Informáticos, University of Castilla-La Mancha, Albacete, Spain

    Elena M. Navarro

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Sitek, P., Wikarek, J., Stefański, T. (2019). Food Supply Chain Optimization – A Hybrid Approach. In: Rodríguez, S., et al. Distributed Computing and Artificial Intelligence, Special Sessions, 15th International Conference. DCAI 2018. Advances in Intelligent Systems and Computing, vol 801. Springer, Cham. https://doi.org/10.1007/978-3-319-99608-0_4

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