Doctoral thesis (Dissertations and theses)
Optimisation de plusieurs aspects de la chaîne logistique du transport pétrolier
Belaid, Emna
2019
 

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Keywords :
Optimization; Oil logistics chain; Transportation; Conceptual frame work; Systemic theory; Stakeholders approach; Land Network Design(Road & Pipeline); Ɛ Constraint method (Cost & Risk); Spanning Tree (Hazmat); Efficiency harbor optimization; Stochastic and deterministic parameters; Simulation
Abstract :
[en] The transport logistics chain is a branched chain which includes various nodes guided by decision and information systems. It includes actors whose objectives are conflicting and who are evolved in a changing environment. The challenge of a supply chain is to orchestrate its entire links in order to make operations smoother, faster, cheaper and safer. More specifically, the hazardous material supply (e.g. oil) is more complex because of the risk related to an accident. The research is concerned with the optimisation of a logistic chain of crude oil to export. In order to understand the complexity of this logistic chain, a conceptual framework has been established to understand its inner functioning. This conceptual framework is based on a global vision and follows an aggregate-disaggregated approach. Systemic analysis allows breaking down its structure by emphasizing the principles of stakeholder theory. The dynamic interactions between the found subsystems are therefore detected. Among several interactions, two of them have been retained which are namely the transport department and port authority relationship, on one hand, and the port authority and ship-owner relationship, on the other hand. The former relationship concerns the land pre-carriage from the hinterland side, and the second analyzes the productivity of a petroleum port. The objective is to optimize the supply chain by setting up an integrated and strategic approach including these two complementary relationships. The first analysis aims to present a new land network system to transport the oil from the different fields to the seaport. It considers two criteria which are the construction cost of the infrastructure and the risks. It examines the government perspective, which must make a choice between the road and the pipeline. This analysis provides a pipeline alternative solution that connects exclusively, according to a spanning tree configuration, all nodes in a loop-free network. The bi-objective problem is solved using the Ɛ- constraints technique. The second analysis aims to study the port productivity from the port authority point of view. It considers an operational performance criterion to optimize the ships services. This performance criterion is the time a ship spends in port. This time is analyzed into three phases, namely the loading time and the waiting time before and after loading. The objective is to optimize the service by identifying the dominant parameters for each phase. The analysis considers linear and stochastic parameters. The former is mainly the flow of loading, the latter is being essentially the weather conditions effect. This analysis shows that the most relevant parameters are the operational ones. These parameters ensure a fast loading and reduce significantly the total time spent in the port. Therefore, they improve the quality of services dedicated to the tankers by making the operations smoother and they increase the productivity. This productivity provides a better image of the port which is an important selection criterion and measures its competitiveness.
Disciplines :
Production, distribution & supply chain management
Author, co-author :
Belaid, Emna ;  Université de Liège - ULiège > Doct. sc. ingé. & techno. (archi., génie civ. - paysage)
Language :
French
Title :
Optimisation de plusieurs aspects de la chaîne logistique du transport pétrolier
Alternative titles :
[en] Optimization of several aspects of oil transportation logistics chain
Defense date :
2019
Number of pages :
265
Institution :
ULiège - Université de Liège
Degree :
Doctor of Applied Sciences
Promotor :
Cools, Mario  ;  Université de Liège - ULiège > Urban and Environmental Engineering
Rigo, Philippe  ;  Université de Liège - ULiège > Urban and Environmental Engineering
Belloumi, Mounir
President :
Limbourg, Sabine  ;  Université de Liège - ULiège > HEC Recherche > HEC Recherche: Business Analytics & Supply Chain Management
Jury member :
Vanhoof, Koen
Aloulou, Foued
Available on ORBi :
since 10 June 2019

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