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2010
DOI: 10.1504/ijor.2010.036290
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Quality in operational supply chain networks: an aerospace case study

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Cited by 8 publications
(8 citation statements)
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“…The study presented a mathematical formulation that integrates COQ into the modelling of an SC network for a single-product, three-echelon system and seeks to minimize the overall operational and quality costs. Then, Alzaman et al [6] presented a Supply Chain Network Design with a cost of quality integration in a case study of the aerospace industry solving by simulated annealing (SA)-based solution procedure to make decisions based on operational costs and quality related to non-conformance costs. Castillo-Villar et al [7] proposed supply-chain network modelling considering the Cost of Quality along with the conventional production and distribution costs with two solution methods based on a simulated annealing (SA) and a genetic algorithm (GA) were performed for computational experiments on test instances.…”
Section: Supply Chain Network Design (Scnd) Integrated Coqmentioning
confidence: 99%
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“…The study presented a mathematical formulation that integrates COQ into the modelling of an SC network for a single-product, three-echelon system and seeks to minimize the overall operational and quality costs. Then, Alzaman et al [6] presented a Supply Chain Network Design with a cost of quality integration in a case study of the aerospace industry solving by simulated annealing (SA)-based solution procedure to make decisions based on operational costs and quality related to non-conformance costs. Castillo-Villar et al [7] proposed supply-chain network modelling considering the Cost of Quality along with the conventional production and distribution costs with two solution methods based on a simulated annealing (SA) and a genetic algorithm (GA) were performed for computational experiments on test instances.…”
Section: Supply Chain Network Design (Scnd) Integrated Coqmentioning
confidence: 99%
“…Constraint (5) enforces that all manufacturers are producing enough products to meet customers' demand. Constraint (6) ensures that the number of incoming materials does not exceed the production capacity. Constraint 7and (8) specify that the sum of good and poor quality products of the manufacturer's production should be produced enough in order to be sufficient for the number of products delivered to customers and does not exceed its capacity given.…”
Section: Mathematical Modelmentioning
confidence: 99%
“…However their model did not consider idle transportation. Other works in the area of supply chain modeling have been reviewed in previous work [23] and also did not address idle transportation time. This is might be due to the fact that supply chain transportation involves extremely long distance travel (i.e.…”
Section: Literature Reviewmentioning
confidence: 99%
“…When COQ is not included, choices made solely on production costs could sacrifice quality and lead to additional quality nonconformance costs or corrective action costs in the subsequent stages of the SC. More recently, Alzaman et al [5] established a mathematical model, considering an level bill of materials, that incorporates a known COQ quadratic function based on a defect ratio at all SC nodes. As assumed in Ramudhin et al 's work, the COQ function is known and is based on Juran's original model [6].…”
Section: Introductionmentioning
confidence: 99%