Συντάχθηκε 27-01-2025 14:12
Τόπος:
Σύνδεσμος τηλεδιάσκεψης
Έναρξη: 31/01/2025 11:00
Λήξη: 31/01/2025 12:00
ΠΟΛΥΤΕΧΝΕΙΟ ΚΡΗΤΗΣ
Σχολή Μηχανικών Παραγωγής και Διοίκησης
Πρόγραμμα Μεταπτυχιακών Σπουδών
Διοίκηση της Τεχνολογίας και της Καινοτομίας
ΠΑΡΟΥΣΙΑΣΗ ΜΕΤΑΠΤΥΧΙΑΚΗΣ ΕΡΓΑΣΙΑΣ
Παρασκευή, 31 Ιανουαρίου 2025, 11:00
Zoom: https://tuc-gr.zoom.us/j/84376874961?pwd=WTVEY1RZQzhST0lUcDNuR1U5T1M1dz09
Ονοματεπώνυμο: ΚΟΚΚΑΛΗΣ ΑΝΑΣΤΑΣΙΟΣ
Θέμα: Εφοδιαστική αλυσίδα στην κατασκευαστική Βιομηχανία. BowTie Analysis της καθυστέρησης κρίσιμων υλικών
Title: Construction supply chain risk: Bowtie Analysis of critical material delay
Εξεταστική Επιτροπή
- ΤΣΑΦΑΡΑΚΗΣ ΣΤΕΛΙΟΣ, Αναπληρωτής Καθηγητής (επιβλέπων)
- ΜΟΥΣΤΑΚΗΣ ΒΑΣΙΛΗΣ, Καθηγητής
- ΖΕΡΒΟΥΔΑΚΗΣ ΚΩΝΣΤΑΝΤΙΝΟΣ, Διδάκτωρ
Περίληψη
Risk is usually connected with words that express the results of hazardous events that could potentially lead to catastrophic outcomes. To identify the roots of adverse events and their effects, to establish redundancy measures and to determine whether or not is a system capable of withstanding this risk are the basis of risk analysis. Supply Chains (SCs) are complex systems which are prone to risks and uncertainty. In the context of a SC, the related to risk literature tends to align with the general idea that risk is about triggering events that either affect a single focal firm or the performance of a SC as a network. Supply chain risk is the potential loss for a supply chain in terms of its target values of efficiency and effectiveness evoked by uncertain developments of supply chain characteristics whose changes were caused by the occurrence of triggering events. The purpose of this thesis is to support stakeholders of the construction supply chain (CSC) by reviewing the literature that is related to the construction supply chain risks, to depict the research themes, and to identify the research gaps. The relevant literature has extensively covered the CSC associated risks in the context of management, collaboration and relationships, technology, and visibility in different geographical areas, for various construction methods and processes and for different organizational types and sizes. The relevant literature though has not managed to gather and categorize the causes and the consequences of the delay of materials that are on the critical path of the project management (PM) schedule and have long lead time. This thesis will try to delve into the route of the CSC in order to investigate the different nodes the lead to this major project risk and will aim at presenting the barriers that need to be placed prior to the critical event (delay) so that to avoid it from happening and after that critical event so that to mitigate its repercussions. Subsequently, the research question that is formed by the aim of this thesis is: What are the causes and the consequences of the delay of equipment or material that is on the critical path of a project management schedule and has long lead time? To address our research question, the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) protocol was adopted to offer the replicability of the study. Upon identifying the risks of the CSC in the literature, this thesis proceeds with conducting the BowTie analysis by collecting qualitative data through semi-structured interviews of industry professionals. The results of that research are expected to shed light on the project risk awareness by investigating on the effective barriers that could prevent a major project risk from happening and the measures that could prevent the expansion of the problems that such event can give rise. This thesis will provide a risk map of critical path materials to the professionals of the construction industry and will ultimately try to evolve the Construction Supply Chain Risk Management process by presenting the true complexity of the CSC flow. The analytical way of presenting the threats, the barriers and the consequences of a critical event in the CSC constitutes an evolution of the CSC. Besides the construction professionals, other disciplines might be benefit from the findings such as those that design IT software like BIM or PM platforms and professionals of the Quality Assurance industry.
