Chiara Bersani, Hanane Dagdougui, Claudio Roncoli and Roberto Sacile
Article (2019)
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Published Version Terms of Use: IEEE Open Access Publishing Agreement. Download (4MB) |
Cite this document: | Bersani, C., Dagdougui, H., Roncoli, C. & Sacile, R. (2019). Distributed product flow control in a network of inventories with stochastic production and demand. IEEE Access, 7, p. 22486-22494. doi:10.1109/access.2019.2898648 |
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Abstract
This paper presents a cooperative distributed model for the control of product flow in a network of cooperative inventory systems (ISs). In each IS, a linear input/output equation describes the balance between product demand vs production, as well as the product flows among ISs. The peculiarity of the problem is that both the production and demand are stochastic and cannot be controlled. In addition, each IS has just deterministic information on its inventory level (i.e., the quantity of stored product) which is not shared in the network. Other information is available in each IS regarding the forecast of both its related production and demand. The goal of the proposed model, on the overall network, is to keep both the product stored in each IS and the product exchanged among ISs, around given values as planned a priori. The only available control is related to the product flow between neighboring ISs, which has to be locally computed. Section II describes the proposed approach, which is based on the dual decomposition of the problem, which enables reaching the optimal control. This problem can represent the abstraction of a series of problems, which are not just related to logistics. As examples, section III presents two case studies: a network of virtual power utilities; and the control of risk in the transport of dangerous goods by road.
Uncontrolled Keywords
inventory systems; distributed control; dual decomposition; logistics; virtual power utilities; dangerous goods transport; model-predictive control; decentralized control; dual decomposition; power flows; systems; team
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Subjects: |
1600 Génie industriel > 1600 Génie industriel 1600 Génie industriel > 1603 Logistique 1600 Génie industriel > 1606 Gestion de la production |
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Department: | Département de mathématiques et de génie industriel |
Research Center: | Non applicable |
Funders: | Eni S.p.A, University of Genova, Italy |
Date Deposited: | 16 Aug 2021 15:17 |
Last Modified: | 17 Aug 2021 01:20 |
PolyPublie URL: | https://publications.polymtl.ca/4784/ |
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Journal Title: | IEEE Access (vol. 7) |
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Publisher: | IEEE |
Official URL: | https://doi.org/10.1109/access.2019.2898648 |
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