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
Link To Document :
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