Determination of order manufacturing delays by logistic regression analysis
Is this your thesis?
This record came from a bulk archive import. If it’s yours, link it to your profile.
2013
0 views
0 downloads
Advisor: Doç. Dr. Arzu Uzun
Abstract (EN)
Today the effect of the fact of Supply Chain Management on the performance and the life cycles of enterprises is great. For an enterprise keeping on its existence in the sector of manufacturing industry, one of the most important rings of supply chain is the data of order and the manufacturing performance of the enterprise. This work aims to prove that the order parameters are usable for estimating the probability of order realization at deadline. In this manner, it will be provided for the manufacturing industry enterprises and the enterprise decision makers, to be more accurate on making decisions about orders and reaching the results of those by this model. In addition to this, applicability of this approach for many rings of supply chain will be discussed.
Author
Serkan Baş
Institution
How to Cite
Serkan Baş (Master Thesis). Determination of order manufacturing delays by logistic regression analysis, 2013, Çukurova University.
Keywords
License
Tüm Hakları Saklıdır
This work is shared under the specified license terms.
More theses from Çukurova University
- The effects of collaborative video-blog projects on Turkish EFL students' linguistic and digital literacy skills(2025)
- An investigation of violent and nonviolent adolescent' families in terms in terms of family fuctioning, anger and anger expression(2006)
- Adolescents who have single parents family and full family were compared in respect to their life satisfaction and quality of life(2009)
- Credit risk management in banking sector: An application of variables determining credit risk in Turkish banking sector(2011)
- Investigation of psychological symptom levels in adolescents according to gender and family functions(2013)
- Assessing morphological and genetic diversity among traditional African eggplant landraces and detecting salt tolerance and anther culture performance of selected accessions(2022)