Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14365/1656
Title: Scheduling jobs through multiple parallel channels using an expert system
Authors: Soyuer, H.
Kocamaz, M.
Kazancoglu, Y.
Keywords: scheduling
production planning
expert system
Operations Management
Business
Publisher: Taylor & Francis Ltd
Abstract: In recent years, as a result of global competition, the efficiency and effectiveness of business processes are becoming much more critical than ever. Information technology constitutes a critical role as a strategic competitive tool in the global business market. In the previous paradigm, the holistic view was missing and ultimately did not contain real life constraints. The new paradigm is based on the systems approach and represents the real life circumstances of production with applicable and sufficient models. This study is based on an expert system for the scheduling of a manufacturing system. The expert system works with a unique algorithm, which has been developed in this paper. The aim is to develop an expert scheduling system which is realistic and applicable to real life situations. Job specification, machine competence, due date, earliest completion and minimum set up time are the factors which have been taken into account to achieve this aim. As a result, the algorithm achieves both applicability and optimality in solution.
URI: https://doi.org/10.1080/09537280600940689
https://hdl.handle.net/20.500.14365/1656
ISSN: 0953-7287
1366-5871
Appears in Collections:Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

Files in This Item:
File SizeFormat 
1656.pdf
  Restricted Access
315.02 kBAdobe PDFView/Open    Request a copy
Show full item record



CORE Recommender

SCOPUSTM   
Citations

10
checked on Nov 20, 2024

WEB OF SCIENCETM
Citations

8
checked on Nov 20, 2024

Page view(s)

42
checked on Nov 18, 2024

Download(s)

6
checked on Nov 18, 2024

Google ScholarTM

Check




Altmetric


Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.