• DocumentCode
    3153991
  • Title

    A capacitated material requirements planning model considering delivery constraints: A case study from the automotive industry.

  • Author

    Garcia-Sabater, José P. ; Maheut, J. ; Garcia-Sabater, J.J.

  • Author_Institution
    ROGLE, Univ. Politec. de Valencia, Valencia, Spain
  • fYear
    2009
  • fDate
    6-9 July 2009
  • Firstpage
    378
  • Lastpage
    383
  • Abstract
    JIT delivery practices require that only what is requested is sent. The simplified solution generally accepts that only, what is going to be sent is what is produced, with minimum inventory. Due to the turbulent environment within the plant, the reality is very different. Such simplifications are not viable and buffers between the delivery process and the production process are often allocated. In this paper we present a single model that successfully integrates the delivery, the production, and the supply process. The model that this paper presents includes usual operations plan objectives (production and delivery) but also regularity constraints that keep the system feasible under JIT approach. both objectives on a single model. This model has been successfully implemented in an engine plant of a global automaker which is now planning the operations (supply, transform, assembly and delivery of the plant) with it. Due to the specific characteristics of the tools used at the factory the model was divided into two different models that could be solved sequentially with a large gain in efficiency. The paper ends with some remarks about the implementation process and future research lines...
  • Keywords
    automobile industry; just-in-time; materials requirements planning; production planning; supply chain management; JIT delivery practices; automotive industry; capacitated material requirements planning model; delivery process; global automaker engine plant; production process; production-distribution planning; Automotive engineering; Costs; Engines; Lean production; Materials requirements planning; Organizing; Production facilities; Production planning; Production systems; Supply chains; MILP; MRP; Production-Distribution Planning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computers & Industrial Engineering, 2009. CIE 2009. International Conference on
  • Conference_Location
    Troyes
  • Print_ISBN
    978-1-4244-4135-8
  • Electronic_ISBN
    978-1-4244-4136-5
  • Type

    conf

  • DOI
    10.1109/ICCIE.2009.5223806
  • Filename
    5223806