This work aims to present a methodology to support a company in the automotive business on scheduling the jobs on its final processes. These processes are: (i) checking the final product and (ii) loading the dispatch trucks. These activities are usually found in the outbound area of any manufacturing company. The problem faced is defined as the flow shop problem with precedence constraints, release dates, and delivery times. The major objective is to minimize the latest date a client receives its products. We present a time-indexed integer mathematical model to compute feasible solutions for the presented problem. Moreover, we take advantage of the Lagrangean Relaxation procedure to compute valid lower and upper bounds. The experiments were held based on the company’s premises. As a conclusion, the results showed that the methodology proposed was able to compute feasible solutions for all the instances tested. Also, the Lagrangean Relaxation approach was able to calculate better bounds in a shorter computational time than the Mathematical problem for the more complicated instances.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    The Lagrangean Relaxation for the Flow Shop Scheduling Problem with Precedence Constraints, Release Dates and Delivery Times


    Beteiligte:


    Erscheinungsdatum :

    2019




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Unbekannt




    Fuzzy Single Machine Scheduling Problem with Mixed Precedence Constraints and Fuzzy Due Dates

    Xie, Y. / Xie, J.-y. / Deng, X.-l. | British Library Online Contents | 2005



    Network Models, Lagrangean Relaxation and Subgradients Bundle Approach in Crew Scheduling Problems

    Carraresi, P. / Nonato, M. / Girardi, L. et al. | British Library Conference Proceedings | 1995


    Multiple Constraints Approach to Flow-Shop Scheduling

    De Falco, M. / Nenni, M. E. / Society for Computer Simulation | British Library Conference Proceedings | 1999