Skip to Main content Skip to Navigation
Journal articles

Planned lead times optimization for multi-level assembly systems under uncertainties

Abstract : Planned lead times are crucial parameters in management of supply networks that continue to be more and more extended with multiple levels of inventory of components and uncertainties. The object of this study is the problem of determining planned lead times in multi-level assembly systems with stochastic lead times of different partners of supply chains. A general probabilistic model with a recursive procedure to calculate all the necessary distributions of probability is proposed. A Branch and Bound algorithm is developed for this model to determine planned order release dates for components at the last level of a BOM which minimize the sum of inventory holding and backlogging costs. Experimental results show the behaviour of the proposed model and optimisation algorithm for different numbers of components at the last level of the BOM and for different numbers of levels and values of holding and backlogging costs. The model and algorithm can be used for assembly contracting in an assembly to order environment under lead time uncertainty.
Complete list of metadatas

Cited literature [56 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/hal-01769391
Contributor : Alexandre Dolgui <>
Submitted on : Wednesday, April 18, 2018 - 9:00:11 AM
Last modification on : Wednesday, May 27, 2020 - 6:48:06 PM

File

Ben Ammar et Al. October 2017 ...
Files produced by the author(s)

Identifiers

Citation

Oussama Ben-Ammar, Alexandre Dolgui, Desheng Dash Wu. Planned lead times optimization for multi-level assembly systems under uncertainties. Omega, Elsevier, 2018, 78, pp.39 - 56. ⟨10.1016/j.omega.2017.11.004⟩. ⟨hal-01769391⟩

Share

Metrics

Record views

370

Files downloads

1065