The theory of constraints problem- solving capacity and create additional capacity: Application of a cargo company
Is this your thesis?
This record came from a bulk archive import. If it’s yours, link it to your profile.
Abstract (EN)
It is observed that customer demands from the cargo companies are increased before the Christmas and other holiday. Since it is difficult to meet these demands with available personel and equipment, acceleration of the process will be provided by eliminating unnecessary processes with theory of constraints approach and thereby it will be possible to meet demands. The purpose of this work is developing alternative plans without disturbing optimization for the additional demands arising from these busy periods of the cargo companies. In this context, it is provided with face to face interviews with managers of cargo company which is the subject of research, depth research on the functioning of the process has been done. At this point according to survey results, this study differs from other studies for offer alternative solutions to in order to meet additional demands. As a result, this work is expected to provide an enlightening perspective to companies having difficulty to meet additional demands during peak periods.
Author
Merve Şakar
Institution

Sakarya University
Üretim Yönetimi ve Pazarlama Bilim Dalı
How to Cite
Merve Şakar (Master Thesis). The theory of constraints problem- solving capacity and create additional capacity: Application of a cargo company, 2016, Sakarya University.
License
Tüm Hakları Saklıdır
This work is shared under the specified license terms.
More theses from Sakarya University
- Turkey according to the records of the House of Commons (1918-1922)(2011)
- Ömer Öngüt, his views and community through publications(2025)
- Mawlana Yaqub-i Charkhi And His tafsir(2024)
- Research of teachers' attitudes and self-efficacy perceptions towards distance education application(2024)
- Tiles in architect Vedat Tek's Istanbul buildings(2024)
- Financial performance evaluation and the relationship between stock returns: Hesitant Fuzzy AHP based approach(2020)