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Faculté des Sciences appliquées
Faculté des Sciences appliquées
MASTER THESIS
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Improving Steel Stockyard Planning by Coupling Optimization with Stochastic Simulation

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Selamoglu, Atakan ULiège
Promotor(s) : Iwankowicz, Remigiusz ; Caprace, Jean-David ULiège
Date of defense : 2016 • Permalink : http://hdl.handle.net/2268.2/6201
Details
Title : Improving Steel Stockyard Planning by Coupling Optimization with Stochastic Simulation
Author : Selamoglu, Atakan ULiège
Date of defense  : 2016
Advisor(s) : Iwankowicz, Remigiusz 
Caprace, Jean-David ULiège
Committee's member(s) : Bronsart, Robert 
Language : English
Number of pages : 94
Discipline(s) : Engineering, computing & technology > Civil engineering
Target public : Researchers
Professionals of domain
Student
Institution(s) : Université de Liège, Liège, Belgique
Degree: Master de spécialisation en construction navale
Faculty: Master thesis of the Faculté des Sciences appliquées

Abstract

[en] Ship building involves complicated production processes in a highly competitive environment. Therefore improving and obtaining more efficient production facilities is getting more and more important. This fact results in the increase of usage of simulation and optimization tools in the industry. However, coupling these two fields of applications is still not common. This paper proposes a new application by coupling two commercial tools present in the market, QUEST by Delmia for Discrete Event Simulation (DES) and MODEFRONTIER for optimization in a case of improving a steel stockyard in a shipyard. A multi-objective optimization is carried out by taking three design variables and aiming to optimize the objective functions. Number of steel plate piles in stockyard, steel plate capacity of each pile and frequency of steel plate arrival to shipyard are selected as design variables. The objectives are minimizing the area used for stocking and minimizing the Work In Progress (WIP). It is suggested that shipyards with different steel processing capacities would require different sizes of stockyards and different frequencies of incoming steel plates. Therefore a layout plan should be made based on running optimization tasks. The findings provide that production cost can be reduced by carrying out proper planning. The fundamental knowledge of coupling optimization and stochastic simulation tools may result in significant reduction of production costs by minimizing storing area and work in progress. The new solution is also valid for other fields of ship building such as block erection or steel processing and may be modified for further applications.


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  • Selamoglu, Atakan ULiège Université de Liège - ULiège >

Promotor(s)

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  • Bronsart, Robert
  • Total number of views 31
  • Total number of downloads 261










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