Simulation and optimization of scheduling policiesin dynamic stochastic resource-constrainedmulti-project environments
Başlık çevirisi mevcut değil.
- Tez No: 767687
- Danışmanlar: DR. PETER JACKO, DR. CHRİSTOPHER KİRKBRİDE
- Tez Türü: Doktora
- Konular: İşletme, Business Administration
- Anahtar Kelimeler: Belirtilmemiş.
- Yıl: 2022
- Dil: İngilizce
- Üniversite: Lancaster University
- Enstitü: Yurtdışı Enstitü
- Ana Bilim Dalı: Belirtilmemiş.
- Bilim Dalı: Belirtilmemiş.
- Sayfa Sayısı: 126
Özet
Özet yok.
Özet (Çeviri)
The goal of the Project Management is to organise project schedules to complete projects before their completion dates, specified in their contract. When a project is beyond its completion date, organisations may lose the rewards from project completion as well as their organisational prestige. Project Management involves many uncertain factors such as unknown new project arrival dates and unreliable task duration predictions, which may affect project schedules that lead to delivery overruns. Successful Project Management could be done by considering these uncertainties. In this PhD study, we aim to create a more comprehensive model which considers a system where projects (of multiple types) arrive at random to the resource-constrained environment for which rewards for project delivery are impacted by fees for late project completion and tasks may complete sooner or later than expected task duration. In this thesis, we considered two extensions of the resource-constrained multiproject scheduling problem (RCMPSP) in dynamic environments. RCMPSP requires scheduling tasks of multiple projects simultaneously using a pool of limited renewable resources, and its goal usually is the shortest make-span or the highest profit. The first extension of RCMPSP is the dynamic resource-constrained multi-project scheduling problem. Dynamic in this problem refers that new projects arrive randomly during the ongoing project execution, which disturbs the existing project scheduling plan. The second extension of RCMPSP is the dynamic and stochastic resource-constrained multi-project scheduling problem. Dynamic and stochastic represent that both random new projects arrivals and stochastic task durations. In these problems, we assumed that projects generate rewards at their completion; completions later than a due date cause tardiness costs, and we seek to maximise average profits per unit time or the expected discounted long-run profit. We model these problems as infinite-horizon discrete-time Markov decision processes
Benzer Tezler
- Esnek üretim sistemleri için bir etkin üretim denetleme modeli
An Effective supervisory control model for flexible manufacturing systems
BAHAR KORKUSUZ
Doktora
Türkçe
1989
Endüstri ve Endüstri Mühendisliğiİstanbul Teknik ÜniversitesiPROF.DR. GÖNÜL YENERSOY
- Yatırım fizibiliteleri üzerinde hedef programlamasının uygulanması
Linear goal programming applications on investment projects
E.ŞEBNEM SOYDAN
Yüksek Lisans
Türkçe
1993
Endüstri ve Endüstri Mühendisliğiİstanbul Teknik ÜniversitesiDOÇ.DR. MEHMET TANYAŞ
- Dağıtık üretim sistemleri içeren dağıtım şebekelerinde akıllı gerilim kontrol yöntemi geliştirilmesi
Development of an intelligent voltage control method in distribution networks including distributed generation systems
MERVE GÜLERYÜZ HALAÇLI
Doktora
Türkçe
2021
Elektrik ve Elektronik Mühendisliğiİstanbul Teknik ÜniversitesiElektrik Mühendisliği Ana Bilim Dalı
PROF. DR. AYŞEN DEMİRÖREN
- An algorithm to generate alternative train schedules on single trace railroads
Tek hatlı demiryollarında alternatif tren tarifeleri üreten bir algoritma
HİKMET BAYIRTEPE
Doktora
İngilizce
1995
İnşaat MühendisliğiOrta Doğu Teknik Üniversitesiİnşaat Mühendisliği Ana Bilim Dalı
PROF.DR. ÖZDEMİR AKYILMAZ
- Deterministic and stochastic models for practical scheduling problems
Uygulamalı çizelgeleme problemleri için deterministik ve stokastik modeller
ELVİN ÇOBAN GÖKTÜRK
Doktora
İngilizce
2012
Endüstri ve Endüstri MühendisliğiCarnegie Mellon Universityİşletme Yönetimi Ana Bilim Dalı
PROF. DR. ALAN SCHELLER-WOLF