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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 290))

Abstract

This paper deals with the problem of scheduling of mobile robots taking into account preemption cases in a flexible manufacturing system (FMS). In addition to capability of transporting materials between some machines, mobile robots are able to perform manufacturing tasks at other machines by using their manipulation arms. These manufacturing tasks can be preempted to allow mobile robots to transport materials when needed. The performance criterion is to minimize time required to complete all tasks, i.e. makespan. A mixed-integer programming (MIP) model is formulated to find the optimal solutions for the problem. Numerical experiments are investigated to demonstrate results of the proposed approach.

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References

  1. Abdelmaguid, T.F., Nassef, A.O., Kamal, B.A., Hassan, M.F.: A Hybrid GA/Heuristic Approach to the Simultaneous Scheduling of Machines and Automated Guided Vehicles. Int. J. Prod. Res. 42, 267–281 (2004)

    Article  MATH  Google Scholar 

  2. Bilge, Ü., Ulusoy, G.: A Time Window Approach to Simultaneous Scheduling of Machines and Material Handling System in an FMS. Oper. Res. 43, 1058–1070 (1995)

    Article  MATH  Google Scholar 

  3. Blazewicz, J., Eiselt, H.A., Finke, G., Laporte, G., Weglartz, J.: Scheduling Tasks and Vehicles in a Flexible Manufacturing System. Int. J. Flex. Manuf. Syst. 4, 5–16 (1991)

    Article  Google Scholar 

  4. Bocewicz, G.: Robustness of Multimodal Transportation Networks. Eksploatacja i Niezawodnosc – Maintenance and Reliability 16, 259–269 (2014)

    Google Scholar 

  5. Bocewicz, G., Banaszak, Z.: Declarative Approach to Cyclic Steady States Space Refinement: Periodic Processes Scheduling. Int. J. Adv. Manuf. Tech. 67, 137–155 (2013)

    Article  Google Scholar 

  6. Caumond, A., Lacomme, P., Moukrim, A., Tchernev, N.: A MILP for Scheduling Problems in an FMS with One Vehicle. Eur. J. Oper. Res. 199, 706–722 (2009)

    Article  MATH  Google Scholar 

  7. 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)

    Chapter  Google Scholar 

  8. Dang, Q.V., Nielsen, I., Steger-Jensen, K.: Scheduling a Single Mobile Robot Incorporated into Production Environment. In: Golinska, P. (ed.) EcoProduction and Logistics. EcoProduction, pp. 185–201. Springer, Heidelberg (2013)

    Chapter  Google Scholar 

  9. Deroussi, L., Gourgand, M., Tchernev, N.: A Simple Metaheuristic Approach to the Simultaneous Scheduling of Machines and Automated Guided Vehicles. Int. J. Prod. Res. 46, 2143–2164 (2008)

    Article  MATH  Google Scholar 

  10. Hvilshøj, M., Bøgh, S., Nielsen, O.S., Madsen, O.: Multiple Part Feeding – Real-world Application for Mobile Manipulators. Assemb. Autom. 32, 62–71 (2012)

    Article  Google Scholar 

  11. Lacomme, P., Larabi, M., Tchernev, N.: Job-shop Based Framework for Simultaneous Scheduling of Machines and Automated Guided Vehicles. Int. J. Prod. Econ., 24–34 (2013)

    Google Scholar 

  12. Lin, L., Shinn, S.W., Gen, M., Hwang, H.: Network Model and Effective Evolutionary Approach for AGV Dispatching in Manufacturing System. J. Intell. Manuf. 17, 465–477 (2006)

    Article  Google Scholar 

  13. Sitek, P., Wikarek, J.: A Hybrid Method for Modeling and Solving Constrained Search Problems. In: Federated Conference on Computer Science and Information Systems (FedCSIS), pp. 385–392. IEEE Press, Kraków (2013)

    Google Scholar 

  14. Soylu, M., Özdemirel, N.E., Kayaligil, S.: A Self-organizing Neural Network Approach for the Single AGV Routing Problem. Eur. J. Oper. Res. 121, 124–137 (2000)

    Article  MATH  Google Scholar 

  15. Ulusoy, G., Sivrikaya-Şerifoǧlu, F., Bilge, Ü.: A Genetic Algorithm Approach to the Simultaneous Scheduling of Machines and Automated Guided Vehicles. Comput. Oper. Res. 24, 335–351 (1997)

    Article  MATH  MathSciNet  Google Scholar 

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Correspondence to Izabela Nielsen .

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Nielsen, I., Dang, QV., Nielsen, P., Pawlewski, P. (2014). Scheduling of Mobile Robots with Preemptive Tasks. In: Omatu, S., Bersini, H., Corchado, J., Rodríguez, S., Pawlewski, P., Bucciarelli, E. (eds) Distributed Computing and Artificial Intelligence, 11th International Conference. Advances in Intelligent Systems and Computing, vol 290. Springer, Cham. https://doi.org/10.1007/978-3-319-07593-8_3

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  • DOI: https://doi.org/10.1007/978-3-319-07593-8_3

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-07592-1

  • Online ISBN: 978-3-319-07593-8

  • eBook Packages: EngineeringEngineering (R0)

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