Combining strategic and operationaldecision making in liquefied natural gas(LNG) logistics
Başlık çevirisi mevcut değil.
- Tez No: 645666
- Danışmanlar: DR. HANDE Y. BENSON
- Tez Türü: Yüksek Lisans
- Konular: İşletme, Business Administration
- Anahtar Kelimeler: Belirtilmemiş.
- Yıl: 2017
- Dil: İngilizce
- Üniversite: Drexel Unıversıty
- Enstitü: Yurtdışı Enstitü
- Ana Bilim Dalı: Belirtilmemiş.
- Bilim Dalı: Belirtilmemiş.
- Sayfa Sayısı: Belirtilmemiş.
Özet
Özet yok.
Özet (Çeviri)
Recent increase in energy prices, concern regarding CO2 emissions, exploration of new energy sources, and some conventional methods of Liquefied Natural Gas transportation have a significant impact on LNG trade to make it more competitive in the energy market. This results in a lot of investment for LNG value chain. For profitable operations such LNG logistics, it is necessary to find the optimal design in terms of the supply chain associated with it. Of special interests are finding an optimal schedule for LNG delivery by ships from production terminal to regas terminals and satisfying inventory and port constraints by minimizing total cost and selecting an optimal combination of contracts and suppliers. This can be possible by modelling a combination of the inventory routing problem (LNG-IRP) and the model to minimize procurement cost by selection of LNG contracts that varies in price formulation, duration, quality etc. These various cost factors in the objective makes the combined model more challenging. To find the lowest cost solution for the model, optimization-based approaches can be very useful. Therefore, in this paper, we address these circumstances by proposing a mixed-integer linear programming model that helps the buyers select the best combination of suppliers and contract, and based on selecting amount of contract, buyer's demand (inventory capacity) in each regas terminal is satisfied by minimizing stock out, unmet demand, and losts production.
Benzer Tezler
- Purchasing and supply management at the purchase category level: Strategy, structure, and performance
Başlık çevirisi yok
MELEK AKIN ATEŞ
- Enhancing warehouse efficiency through geographic information system and genetic algorithm
Coğrafi bilgi sistemleri ve genetik algoritma ile depo verimliliğinin artırılması
ONUR YÜREKLİ
Yüksek Lisans
İngilizce
2024
Mühendislik Bilimleriİstanbul Teknik ÜniversitesiGeomatik Mühendisliği Ana Bilim Dalı
DR. ÖĞR. ÜYESİ MUHAMMED ENES ATİK
- Decision-making mechanism in appropriate roof selection for rainwater harvesting based on combining field data and laboratory experiments
Yağmur suyu hasadi için uygun çati seçiminde saha verileri ve laboratuvar deneylerine dayali karar verme mekanizmasinin kullanilmasi
SHAYAN SHITREH
Yüksek Lisans
İngilizce
2024
Çevre Mühendisliğiİstanbul Teknik ÜniversitesiÇevre Mühendisliği Ana Bilim Dalı
DOÇ. DR. HALE ÖZGÜN ERŞAHİN
- Development of operation and maintenance strategies for offshore wind industry based on big data management
Büyük veri yönetimi ile açık deniz rüzgar endüstrisinde işletme ve bakım stratejilerinin geliştirilmesi
UWE LUETZEN
Doktora
İngilizce
2024
Enerjiİstanbul Teknik ÜniversitesiGemi ve Deniz Teknolojisi Mühendisliği Ana Bilim Dalı
PROF. DR. SERDAR BEJİ
- Kentsel lojistiğin son kilometre dağıtım ağ yapısında mikro tesis yer seçimi ve çok aktörlü yaklaşımla teslimat alternatiflerinin belirlenmesi
Micro facility location and determination of delivery alternatives with multi-actor approach in the last mile distribution network structure of urban logistics
TÜRKAN MÜGE ÖZBEKLER