2018
DOI: 10.1016/j.omega.2017.11.004
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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 algorith… Show more

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Cited by 21 publications
(11 citation statements)
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“…The past few years have seen a huge research effort to propose more general models. To the best of our knowledge, only two studies have proposed mathematical formulations to model one-known-demand planning for multi-level assembly systems: Ben-Ammar and Dolgui in [22] for the assemble-to-order and Jansen et al [23] for the configure-to-order environments. Even though these two studies model the dependency between levels and offer the potential to analyze replenishment planning for assembly systems with more than two levels in the nomenclature, there are still a number of unanswered questions for the case of multi-period planning where there is dependency between inventory levels at different periods.…”
Section: Related Workmentioning
confidence: 99%
“…The past few years have seen a huge research effort to propose more general models. To the best of our knowledge, only two studies have proposed mathematical formulations to model one-known-demand planning for multi-level assembly systems: Ben-Ammar and Dolgui in [22] for the assemble-to-order and Jansen et al [23] for the configure-to-order environments. Even though these two studies model the dependency between levels and offer the potential to analyze replenishment planning for assembly systems with more than two levels in the nomenclature, there are still a number of unanswered questions for the case of multi-period planning where there is dependency between inventory levels at different periods.…”
Section: Related Workmentioning
confidence: 99%
“…The past few years have seen a huge research effort to propose generalized models. To the best of our knowledge, only two studies have proposed mathematical formulations to model one-known-demand planning and multi-level assembly systems: [23] for the assemble-to-order environment and [24] for the configure-to-order environment. Even though these two studies express the dependency between levels and offer the potential to go beyond two levels in the nomenclature, there are still a number of unresolved questions over whether these approaches should be used for the case of multi-period planning where there is dependency between periods.…”
Section: Related Workmentioning
confidence: 99%
“…For each component, the lead time may take several values with given corresponding probabilities. Models of this type have already been formulated in [40] and [5] for one-level multi-period problems and in [16] and [23] for multi-level one-period assembly systems with random lead times.…”
Section: Problem Descriptionmentioning
confidence: 99%
“…As discussed above, modern assembly systems are particularly prone to disturbances because of high product variety and volatility of the demand. Ben-Ammar, Dolgui and Wu [3] as well as Pereira and Álvarez-Miranda [15] develop planning approaches that can deal with uncertain information.…”
Section: Overview Of the Contributions In This Special Issuementioning
confidence: 99%
“…Ben-Ammar, Dolgui and Wu [3] determine when to start production of components at the last level of the bill of materials to minimize expected inventory and backlogging cost given uncertain lead times. Customer demand is considered as known.…”
Section: Overview Of the Contributions In This Special Issuementioning
confidence: 99%