• DocumentCode
    3151892
  • Title

    Heuristic procedures to solve a binary nonlinear supply chain model: A case study from the Aerospace industry

  • Author

    Alzaman, Chaher ; Ramudhin, Amar ; Bulgak, AkifAsil

  • Author_Institution
    Bus. Fac., Higher Coll. of Technol., Abu Dhabi, United Arab Emirates
  • fYear
    2009
  • fDate
    6-9 July 2009
  • Firstpage
    985
  • Lastpage
    990
  • Abstract
    In the aerospace industry quality is an important factor and suppliers are chosen on the basis of quality as well as cost. By integrating cost of quality (COQ) into supply chain network design (SCND), managers could make decisions based on operational costs and also based on quality non-conformance costs. This paper presents a case study for a leading company in the Aerospace industry with COQ integrated into SCND. Further in this paper, we present a model that tailors to a real life supply chain with cost of quality (COQ), binary variables for assignable cost representation of supply chain nodes, and an n level bill of material (BOM) integrated; the model resulting is a nonlinear model and is challenging to solve. Six known heuristics and a new hybrid heuristic are tested and the performance of each heuristic is compared to a lower bound on the optimal solution.
  • Keywords
    aerospace industry; costing; genetic algorithms; mathematical programming; simulated annealing; supply chain management; aerospace industry; bill of material; binary nonlinear supply chain model; cost of quality; genetic algorithms; mathematical programming; quality nonconformance costs; simulated annealing; supply chain network design; Aerospace industry; Bills of materials; Cost function; Engines; Mathematical model; Production; Simulated annealing; Subcontracting; Supply chains; Virtual manufacturing; Genetic algorithms; aerospace industry; cost of quality; k-opt; mathematical programming; simulated annealing; supply chain network design;
  • 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.2009.5223688
  • Filename
    5223688