Integrated Supply Chain is an interface where we address the various flows involved in a real supply chain and discuss how they can be integrated to provide a holistic view for supply chain management. A scheduling model is proposed based on a Task Network representation to schedule order transactions and manufacturing operations in the order-to-cash process of a digital supply chain.
The proposed model is compared to scheduling models that focus on either the order transactions or the manufacturing operations. The advantage of the integrated approach is found in the accuracy of the solutions attained. The benefits of an integrated model are validated with discrete event simulation where the integrated and siloed models are compared against each other in a stochastic simulation environment.
A holistic scheduling model is also presented, which integrates the information, financial, and material flows along a three-echelon supply chain. This integrated model serves as a starting point for developing decision-support systems that take a more comprehensive view of the complex relationships amongst the different flows involved in real supply chains.
Integrated Supply Chain is based on the MINLP model developed by Hector D. Perez, Kyle C. Harshbargerb, John M. Wassick, and Ignacio E. Grossmann (2023), "Integrating information, financial, and material flows
management of a chemical supply chain", Computers & Chemical Engineering
Volume 178, October 2023, 108363; and has been developed by Rosanna Franco under the supervision of Ignacio E.Grossmann.