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Mathematical models and algorithms for bulk port-related supply chain optimization

Abstract : During the last few decades, tremendous progress in maritime transportation has been noticed. In this emerging era of international trading, the port-related supply chain has attracted much attention. Indeed, several works have been proposed to study both seaside and yard side decision problems in container terminal context. However, few researchers have investigated these problems for bulk ports. In this thesis, we are interested in proposing a set of mathematical models and heuristics to optimize port-related supply chains. This study is guided by a real case of an integrated bulk port owned by OCP group. The main contributions of this work are:- Studying machine scheduling under synchronized and periodic maintenance restrictions. This problem can be found in several chemical and mineral industries.- Studying integrated berth allocation and crane assignment problem under availability and high tides constraints. This problem was inspired by OCP bulk port of Jorf lasfar.- Studying dynamic storage location assignment problem for bulk cargo. This problem was inspired by fertilizers hangars in Jorf lasfar Phosphate Hub.The first contribution is resumed to proposing two mixed integer programming models, a set of lower bounds and a variable neighborhood search for large instances. The second contribution is resumed to proposing two new mixed integer programming models to formulate the problem, a rolling horizon heuristic based on a mathematical model and a congestion dissipation strategy. In addition, we investigated a set of variable neighborhood search heuristics to solve industrial-based instances. The third contribution is about designing a decision support system (DSS) for fertilizers warehouse management. First, we proposed a mixed integer programming model for dynamic storage location assignment problem for bulk cargo. This model is the heart of our DSS. Several use cases were presented and tested to study the efficiency of our decision support system.
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Submitted on : Wednesday, October 6, 2021 - 8:20:36 AM
Last modification on : Tuesday, October 19, 2021 - 6:38:14 PM

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Issam Krimi. Mathematical models and algorithms for bulk port-related supply chain optimization. Computer Science [cs]. Université de Valenciennes et du Hainaut-Cambrésis; Ecole Mohammadia d'Ingénieurs, 2019. English. ⟨NNT : 2019VALE0010⟩. ⟨tel-03367010⟩

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