Proceedings/Recueil Des Communications Année : 2023

Modular vs centralized manufacturing supply chain: identifying the best solution under uncertainty

Résumé

Although the economy of scale has been the production systems golden standard for investment costs minimization during the last century, the modular manufacturing supply has recently seen a renewed interest during the last decades. This approach allows to considerably reduce transportation and operating expenses based on small capacity units that can be installed on site and that, after their usage, can be transferred to a new customer. Moreover, when uncertain variables are involved, the optimal choice is not that trivial anymore and a quantitative approach is required to have a clear and conscious view of the best supply chain design solution for the specific application. For this purpose, a dedicated case study concerning production and supply of a multicomponent resin was set up. In the centralized scenario the entire production process is carried out in the factory and the final product is delivered to the customers while, in the distributed one, the raw materials are provided to the final user and the production process takes place in the customers’ site. Transportation costs and optimal centralized factory location are then calculated by means of an adaptation of the methodology proposed by Di Pretoro et al. (2022). Customers position and demand are randomly generated within the expected range of variable fluctuation. The uncertainty is addressed by means of a stochastic methodology and the obtained results show that it is possible to generate mono- and multi-variate probability distributions to describe the optimal centralized factory location as well as capital and operating expenses. This study proves that proposed methodology achieves its goal to identify the best solution between modular and centralized supply layout. Furthermore, it allows to quantify the expected costs for given sets of known and aleatory parameters. The study is then surely worth a deeper investigation for more complex and detailed case studies to further improve the quality of the outlined procedure.

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Dates et versions

hal-04727017 , version 1 (08-10-2024)

Identifiants

Citer

Alessandro Di Pretoro, Stéphane Negny, Ludovic Montastruc. Modular vs centralized manufacturing supply chain: identifying the best solution under uncertainty. 33rd European Symposium on Computer Aided Process Engineering, 52, Elsevier, pp.3331-3336, 2023, Computer Aided Chemical Engineering, ⟨10.1016/B978-0-443-15274-0.50531-X⟩. ⟨hal-04727017⟩
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