Minh Triet Ngo
Bilevel Stochastic Optimization in Decentralized Assemble-To-Order Supply Chain.
Rel. Edoardo Fadda. Politecnico di Torino, Master of science program in Data Science And Engineering, 2025
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Abstract
The Assemble-to-Order (ATO) problem is a production and inventory management challenge commonly encoun- tered in industries where products are assembled from a variety of components or subassemblies. In an ATO environment, a company holds a stock of components and assembles final products only when customer orders are received. This approach allows for a balance between customization (since products are assembled based on spe- cific customer requirements) and efficiency (since the company does not need to stock large quantities of finished goods). There has been a rich source of literature regarding the problem that deals with a variety of versions of ATO model.
However, the main focus of the main stream literature is to prove theoretically a number of certain properties of the model and design control policies to optimize predefined metrics
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