Author/Authors
KÖKÇAM, Abdullah H. Selçuk Üniversitesi, Endüstri Mühendisliği Bölümü Kampüs - Mühendislik-Mimarlık Fakültesi, Turkey , ENGİN, Orhan Selçuk Üniversitesi, Endüstri Mühendisliği Bölümü Kampüs - Mühendislik-Mimarlık Fakültesi, Turkey
Title Of Article
SOLVING THE FUZZY PROJECT SCHEDULING PROBLEMS WITH META-HEURISTIC METHODS
شماره ركورد
41433
Abstract
Today, as a result of ongoing globalization, companies do not have to only compete on the local market but worldwide. Globalization also caused an increase in product variety while shortening product life. Consequent confusion and uncertainty made predicting the future and planning accordingly much more difficult. Because classic planning and scheduling methods fail to keep up in such an environment, to make right decisions and to draw accurate plans for future requires an unconventional approach. Using exact methods to solve these problems is not feasible, due to required long computational time and realism of the project. An alternative way to solve this uncertainty is the fuzzy set theory. Using this method on scheduling problems makes it possible to plan more efficiently. In this study the use of meta-heuristic methods for solving fuzzy project scheduling problems is investigated.
From Page
86
NaturalLanguageKeyword
CPM , PERT , fuzzy set theory , fuzzy project scheduling , meta , heuristic methods
JournalTitle
Sigma Journal Of Engineering and Natural Sciences
To Page
101
JournalTitle
Sigma Journal Of Engineering and Natural Sciences
Link To Document