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Title: Integrated techniques for the internal logistics analysis and management of complex systems
Other Titles: Tecniche integrate per l'analisi e la gestione della logistica interna nei sistemi complessi
Authors: Rotunno, Giuliana
Supervisore/Tutore: Ukovich, Walter
Fanti, Maria Pia
Issue Date: 13-Mar-2013
Publisher: Università degli studi di Trieste
Abstract: In the context of manufacturing systems management, a decisive role is played by logistics, which may be defined as a planning and organization process aimed at optimizing the flow of material and information within and outside the company. In detail, the internal logistic systems are an important part of the modern industry and their design is challenging due to high complexity and heterogeneity of the manufacturing plants. Moreover, the analysis and management of the logistics in complex manufacturing systems is a widely discussed research topic in the related scientific literature. In this thesis the study of the internal logistic, and specifically application to manufacturing system, is taken into account in relation to the complexity features that characterize such systems. Despite the numerous contributions in the related literature proposing manufacturing logistic management approaches, few attempts were made to propose systematic techniques that, while improving the manufacturing system internal logistics and the related performances, are able to assess the manufacturing dynamics and the corresponding improvement. Therefore, the research results presented in this thesis are focused on the development of twoinnovative strategies and integrated techniques to analyze and manage the internal logistics of complex manufacturing systems. First, we present a novel hierarchical and iterative technique for the analysis and lean management of the internal logistics of discrete manufacturing systems. The technique efficiently integrates the Value Stream Mapping (VSM) tool, the Analytic Hierarchy Process (AHP) methodology and discrete event simulation in order to systematically improve the manufacturing system behaviour by rigorously assessing the system dynamics and corresponding performance indicators. Second, we deal with the scheduling of operations in Steelmaking and Continuous Casting (SM-CC) plants. Despite the numerous contributions, all the published papers in the field two limitations in real applications: (i) they do not consider the detailed description of the complete system from the structural and dynamic viewpoints; (ii) the authors focus on the process of the SM-CC plant and do not consider some peculiar characteristic of the main machines involved on the process, such as the continuous casting machines. In order to face the problem of the management and optimization of the production in the steel making continuous casting we propose an integrated a methodology to describe, assess and improve the logistics of the SM-CC processes: the Unified Modeling Language (UML), the discrete event simulation and the Mixed Integer Linear Programming (MILP) formulation. The application of the techniques to some real cases studies shows the effectiveness of the proposed management and optimization strategies.
Ciclo di dottorato: XXV Ciclo
Description: 2011/2012
Keywords: Logistic
Language: en
Type: Doctoral Thesis
Settore scientifico-disciplinare: MAT/09 RICERCA OPERATIVA
NBN: urn:nbn:it:units-9911
Appears in Collections:Ingegneria industriale e dell'informazione

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