Models for production planning and power procurement portfolios
Başlık çevirisi mevcut değil.
- Tez No: 400803
- Danışmanlar: DR. LAWRENCE V. SNYDER
- Tez Türü: Doktora
- Konular: Endüstri ve Endüstri Mühendisliği, Industrial and Industrial Engineering
- Anahtar Kelimeler: Belirtilmemiş.
- Yıl: 2012
- Dil: İngilizce
- Üniversite: Lehigh University
- Enstitü: Yurtdışı Enstitü
- Ana Bilim Dalı: Belirtilmemiş.
- Bilim Dalı: Belirtilmemiş.
- Sayfa Sayısı: 185
Özet
Özet yok.
Özet (Çeviri)
In this dissertation our objective is to characterize and measure the impact of various sources of uncertainty in the electricity market from the end-user perspective and develop optimization methodologies to mitigate the final impact. In Chapter 2, we study interruptible load contracts from the perspective of a participating manufacturing company. We develop a production planning framework that mitigates the uncertainty created by the contractual clauses. We present a mathematical modeling approach and computational results. In Chapter 3, we conduct an experiment using real time electricity prices from the two regional U.S. markets to test the for inherent patterns in real-time locational marginal prices (LMPs) that could be used for constructing the uncertainty sets for the optimization problems. We present the statistical results and findings to characterize these patterns. Next, another experiment is conducted to compare the information content of various data selection rules and the accuracy of various forecasting techniques. In Chapter 4, we conduct an experiment to quantify the value of information using two problem classes: the production planning problem and the job shop scheduling problem. We present various mathematical models to represent a limited set of protoypical optimization problems for each problem class, a comparison of various methods that can be used to construct these optimization problems, simulations of these models with real prices, and finally a numerical analysis of the impact of price uncertainty on optimal solutions. In this chapter, the value of information is quantified as the reflection of the price uncertainty on the optimal objective function value?s deviation from a solution obtained by solving an optimization problem with imperfect information. Our findings indicate that depending on the production and the manufacturing environment, the impact of the price uncertainty on the optimal solutions varies significantly. Without conducting a similar analysis to ours, negotiating terms and prices purely based on price uncertainty may be speculative, illusory and misleading for the contract taking parties.
Benzer Tezler
- Hedef programlama ve çok amaçlı transportasyon tekniği
Goal programming and multiple criteria transportation problems
BURÇİN EREK
Yüksek Lisans
Türkçe
1990
Endüstri ve Endüstri Mühendisliğiİstanbul Teknik ÜniversitesiDOÇ.DR. NAHİT SERARSLAN
- Sistem yaklaşımıyla üretim planlama ve kontrol ve bir uygulama
Production planning and control with the system approach
NECLA KUŞSAN
Yüksek Lisans
Türkçe
1991
Endüstri ve Endüstri Mühendisliğiİstanbul Teknik ÜniversitesiPROF.DR. AHMET F. ÖZOK
- Elektrik enerjisi piyasaları ve çimento sektöründe elektrik enerjisi tüketim tahmininin önemi
Electricity markets and the importance of electricity consumption forecasting in cement sector
EZGİ KAYAHAN
Yüksek Lisans
Türkçe
2019
Enerjiİstanbul Teknik ÜniversitesiEnerji Bilim ve Teknoloji Ana Bilim Dalı
PROF. DR. SERMİN ONAYGİL
- Üretim sistemlerinin maliyet analizi
Generation systems cost analysis
MEHMET KURBAN
Yüksek Lisans
Türkçe
1994
Elektrik ve Elektronik Mühendisliğiİstanbul Teknik ÜniversitesiPROF.DR. NESRİN TARKAN
- Belirsizlik altında heterojen filo ve zaman pencereli rotalama problemi: Hızlı tüketim sektöründe bir uygulama
Heterogeneous vehicle routing with time windows under uncertainty: Implementation in fast moving goods industry
ELÇİN ÖZEN KURU
Yüksek Lisans
Türkçe
2018
Endüstri ve Endüstri Mühendisliğiİstanbul Teknik Üniversitesiİşletme Mühendisliği Ana Bilim Dalı
PROF. DR. FERHAN ÇEBİ