Constraint programming as a technology to supportproject management
Başlık çevirisi mevcut değil.
- Tez No: 764873
- Danışmanlar: PROF. DR. MAURO MANCİNİ
- Tez Türü: Yüksek Lisans
- Konular: İşletme, Business Administration
- Anahtar Kelimeler: Belirtilmemiş.
- Yıl: 2021
- Dil: İngilizce
- Üniversite: Polıtecnıco Dı Mılano
- Enstitü: Yurtdışı Enstitü
- Ana Bilim Dalı: Belirtilmemiş.
- Bilim Dalı: Belirtilmemiş.
- Sayfa Sayısı: Belirtilmemiş.
Özet
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Özet (Çeviri)
Nowadays, the companies have been facing with severe challenges such as the scarcity of resources, limited profit margins, unstable socio-economic status-co. In such a harsh business condition, making good decisions and solving problems effectively are vital for the survival of operations. To do so, businesses have to benefit from the breakthrough technologies in their processes to gain a significant advantage. In this manner, Artificial Intelligence tools applied to decision support and problem solving, provide exciting opportunities to the managers. In this thesis, a noteworthy practice of AI which is constraint programming (CP) has been examined as a potential support mechanism for project management (PM) practices such as resource allocation, scheduling and planning. This study aims to provide a clear positioning of CP technology in the managerial decision making and combinatorial problem-solving context among other operation research like mathematical programming and AI techniques such as machine learning. In this manner, an extensive literature review has been conducted and a practical case has been implemented to verify CP is a promising method in the PM area especially for finding feasible and optimal solutions. The case consists of designing NP-hard resource constrained project scheduling problems with varying conditions and solving them by using different solution techniques; critical path method, Gantt chart, CP, linear programming and mixed integer programming. Then, the performances of these solution techniques are examined based on the constructed framework which intends to introduce a comprehensive matrix for evaluation and selection depending upon quantitative (computational time, memory usage) and qualitative (ease of modeling, closeness to natural language, availability of complementary materials) metrics. As a result of the case and the findings from the literature show that CP is a valuable approach with its theoretical properties, conceptual simplicity, and practical success to assist rational managerial decision making in the PM domain. Key-words: Constraint Programming, Project Management, Combinatorial Problem Solving, Scheduling, Decision-Making
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