Fuzzy Parallel Machine Scheduling Problem Under Fuzzy Job Deterioration and Learning Effects With Fuzzy Processing Times

ARIK, OĞUZHAN; TOKSARI, MEHMET

doi:10.4018/978-1-5225-5709-8.ch003

Fuzzy Parallel Machine Scheduling Problem Under Fuzzy Job Deterioration and Learning Effects With Fuzzy Processing Times

Atıf İçin Kopyala

ARIK O. A., TOKSARI M. D.

ADVANCED FUZZY LOGIC APPROACHES IN ENGINEERING SCIENCE, ss.49-67, 2019 (SCI-Expanded)

Yayın Türü: Makale / Tam Makale
Basım Tarihi: 2019
Doi Numarası: 10.4018/978-1-5225-5709-8.ch003
Dergi Adı: ADVANCED FUZZY LOGIC APPROACHES IN ENGINEERING SCIENCE
Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED)
Sayfa Sayıları: ss.49-67
Erciyes Üniversitesi Adresli: Evet

Özet

This chapter presents a mixed integer non-linear programming (MINLP) model for a fuzzy parallel machine scheduling problem under fuzzy job deterioration and learning effects with fuzzy processing times in order to minimize fuzzy makespan. The uncertainty of parameters such as learning/deterioration effects and processing times in a scheduling problem makes the solution of the problem uncertain. Fuzzy sets can be used to encode uncertainty in parameters. In this chapter, possibilistic distributions of fuzzy parameters and possibilistic linear programming approaches are used in order to create a solution method for MINLP model of fuzzy parallel machine scheduling problem.