Skip to Main content Skip to Navigation
Journal articles

Integrated production planning and quality control for linear production systems under uncertainties of cycle time and finished product quality

Abstract : This work considers serial production systems with several process steps and a possible quality control at final step. It deals with the problem of optimizing planned lead time when the real lead time for each process is stochastic and the finished product quality is uncertain unless it is inspected. Three analytical models are proposed aiming to minimize the expected total cost, which is composed of the inventory and backlogging costs for the finished product and quality costs associated with inspection and non-conformity. These models correspond to three quality control policies: i) without quality control, ii) with quality control but without taking into account the inspection duration when optimizing the planned lead time and iii) with quality control and with considering the inspection duration when optimizing the planned lead time. Based on the results, it can be highlighted the economic advantage of integrating quality control at the early stage of supply and production planning decisions for some cost parameters conditions. The robustness of the proposed models is also analyzed regarding the variance of the probability distributions of the lead times.
Complete list of metadatas

Cited literature [33 references]  Display  Hide  Download

https://hal-imt-atlantique.archives-ouvertes.fr/hal-02415341
Contributor : Oussama Ben-Ammar <>
Submitted on : Tuesday, January 28, 2020 - 6:26:31 PM
Last modification on : Wednesday, June 24, 2020 - 4:19:42 PM
Long-term archiving on: : Wednesday, April 29, 2020 - 5:29:16 PM

File

IntegProdPlan&QuaCtrlOptimizat...
Files produced by the author(s)

Identifiers

Citation

Oussama Ben-Ammar, Belgacem Bettayeb, Alexandre Dolgui. Integrated production planning and quality control for linear production systems under uncertainties of cycle time and finished product quality. International Journal of Production Research, Taylor & Francis, 2020, 58 (4), pp.1144-1160. ⟨10.1080/00207543.2019.1613580⟩. ⟨hal-02415341⟩

Share

Metrics

Record views

169

Files downloads

379