Ders Bilgileri

#### Ders Tanımı

Ders Kodu Yarıyıl T+U Saat Kredi AKTS
JOB SEQUENCING AND SCHEDULING ENM 507 0 3 + 0 3 6
 Dersin Dili Türkçe Dersin Seviyesi Yüksek Lisans Dersin Türü SECMELI Dersin Koordinatörü Dr.Öğr.Üyesi BERRİN DENİZHAN Dersi Verenler Dersin Yardımcıları Dersin Kategorisi Dersin Amacı Performance criteria and an ability to use the algorithms for different type of problems to satisfy these criteria. Dersin İçeriği Introduction to job scheduling and performance criteria, flow-job-shop scheduling algorithms, algorithms for single machine scheduling, parallel machine scheduling
 Dersin Öğrenme Çıktıları Öğretim Yöntemleri Ölçme Yöntemleri
 Öğretim Yöntemleri: Ölçme Yöntemleri:

#### Ders Akışı

Hafta Konular ÖnHazırlık
1 Introduction to job scheduling and performance criteria
2 Flow-job-shop scheduling
3 Johnson algorithm
4 CDS, PALMER algorithm
5 RAP, GUPTA algorithm
6 NEH algorithms
7 Lawler algorithm, Smith algorithm
8 Van wassenhove and Gelders algorithm
9 n/2/G/Fmax for Johnson algorithm
10 Heuristic search methods
11 Job scheduling by using dynamic programming
12 Job scheduling by using dynamic programming
13 Branch and bound algorithm
14 Branch and bound algorithm algorithm

Ders Notu
Ders Kaynakları

#### Dersin Program Çıktılarına Katkısı

No Program Öğrenme Çıktıları KatkıDüzeyi
1 2 3 4 5
1 The aim of the course is to reach the information in depth and in depth by conducting scientific research in the field of engineering, to evaluate, interpret and apply the information. X
2 Ability to complete and apply knowledge by scientific methods using limited or missing data; to integrate information from different disciplines. X
3 To be able to construct engineering problems, develop methods to solve them and apply innovative methods in solutions. X
4 Ability to develop new and original ideas and methods; develop innovative solutions in system, part or process designs. X
5 Ability to design and apply analytical, modeling and experimental research; to analyze and interpret complex situations encountered in this process. X
6 Identify the information and data needed, reach them and evaluate them at an advanced level. X
7 Leadership in multi-disciplinary teams, developing solutions to complex situations and taking responsibility. X
8 To be able to convey the process and results of his / her studies systematically and clearly in written or oral form in national and international environments in or out of that field. X
9 Interpreting comprehensive information about modern techniques and methods applied in engineering and their limits. X
10 Awareness about new and developing practices of the profession; to examine and learn them when necessary. X
11 To understand the social and environmental dimensions of engineering applications and to adapt to the social environment. X
12 To observe social, scientific and ethical values in the stages of data collection, interpretation and announcement and in all professional activities. X

#### Değerlendirme Sistemi

YARIYIL İÇİ ÇALIŞMALARI SIRA KATKI YÜZDESİ
AraSinav 1 40
KisaSinav 1 10
KisaSinav 2 10
ProjeTasarim 1 40
Toplam 100
Yıliçinin Başarıya Oranı 60
Finalin Başarıya Oranı 40
Toplam 100

#### AKTS - İş Yükü

Etkinlik Sayısı Süresi(Saat) Toplam İş yükü(Saat)
Course Duration (Including the exam week: 16x Total course hours) 16 3 48
Hours for off-the-classroom study (Pre-study, practice) 16 3 48
Mid-terms 1 15 15
Quiz 2 5 10
Assignment 1 15 15
Performance Task (Seminar) 1 10 10
Final examination 1 15 15
Toplam İş Yükü 161
Toplam İş Yükü /25(s) 6.44
Dersin AKTS Kredisi 6.44
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