In a remarkable display of academic excellence, On November 10, 2024, Ons Chaabene successfully defended her Msc. thesis entitled “ Supply Chain Modeling Under Uncertainty”.
Committee Chairperson:
Prof. Raúl Tempone, AMCS, KAUST
Committee Members:
Prof. Diogo Gomes, AMCS, KAUST
Prof. Mohamed-Slim Alouini, AMCS, KAUST
Prof. Nadhir Ben Rached, University of Leeds
Abstract:
Supply chains are complex networks that manage the flow of goods, information, and services from suppliers to consumers. Effective supply chain management is crucial due to the numerous uncertainty factors that can impact operations and decision-making which impacts market stability and economic growth.
In this work, we draw inspiration from stochastic chemical reactions to model supply chains, extending our approach to both manufacturing and transport systems. Using this analogy, we develop exact and approximate algorithms, including the L-leap algorithm, which incorporates uncertainty, particularly related to delays. Our modeling is extended to cover both push and pull strategies, enabling a comprehensive analysis of supply chain dynamics. We conducted a detailed sensitivity analysis and compared four methods, demonstrating that our likelihood-based approach outperforms the others. Additionally, we extended the analogy with stochastic reaction networks to model dynamic supply chains with auto-adapting process rates, thereby justifying the use of multilevel Monte Carlo methods, which was proven to have better performance compared to crude Monte Carlo.
Biography:
Ons Chaabene is a Ms/PhD Student at the Stochastic Numerics Research Group (STOCHNUM), guided by Professor Raul F. Tempone, at King Abdullah University of Science and Technology (KAUST). Prior to that, she earned a National Engineering Diploma in Multidisciplinary Engineering from École Polytechnique de Tunisie, Tunisia, and an Undergraduate Degree in Mathematics and Physics from the Preparatory Institute for Engineering Studies of Sfax, Tunisia.
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