Load dependent lead time modelling: a robust optimization approach

Name: Load dependent lead time modelling: a robust optimization approach
Author: Albey, Erinç, Yanıkoğlu, İhsan, Uzsoy, R.

İsim	Load dependent lead time modelling: a robust optimization approach
Yazar	Albey, Erinç, Yanıkoğlu, İhsan, Uzsoy, R.
Basım Tarihi:	2018-01-04
Basım Yeri	- IEEE
Konu	Planning, Optimization, Production planning, Uncertainty, Data models, Throughput
Tür	Belge
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	978-153863428-8
Kayıt Numarası	25875fd1-7a3f-41ec-bf65-30109ef0dc01
Lokasyon	Industrial Engineering
Tarih	2018-01-04
Notlar	Due to copyright restrictions, the access to the full text of this article is only available via subscription.
Örnek Metin	Although production planning models using nonlinear CFs have shown promising results for semiconductor wafer fabrication facilities, the lack of an effective methodology for estimating the CFs is a significant obstacle to their implementation. Current practice focuses on developing point estimates using least-squares regression approaches. This paper compares the performance of a production planning model using a multi-dimensional CF and its robust counterpart under several experimental settings. As expected, as the level of uncertainty is increased, the resulting production plan deviates from the optimal solution of the deterministic model. On the other hand, production plans found using the robust counterpart are less vulnerable to parameter estimation errors.
DOI	10.1109/WSC.2017.8248067

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Load dependent lead time modelling: a robust optimization approach

Yazar Albey, Erinç, Yanıkoğlu, İhsan, Uzsoy, R.

Basım Tarihi 2018-01-04

Basım Yeri - IEEE

Konu Planning, Optimization, Production planning, Uncertainty, Data models, Throughput

Tür Belge

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 978-153863428-8

Kayıt Numarası 25875fd1-7a3f-41ec-bf65-30109ef0dc01

Lokasyon Industrial Engineering

Tarih 2018-01-04

Notlar Due to copyright restrictions, the access to the full text of this article is only available via subscription.

Örnek Metin Although production planning models using nonlinear CFs have shown promising results for semiconductor wafer fabrication facilities, the lack of an effective methodology for estimating the CFs is a significant obstacle to their implementation. Current practice focuses on developing point estimates using least-squares regression approaches. This paper compares the performance of a production planning model using a multi-dimensional CF and its robust counterpart under several experimental settings. As expected, as the level of uncertainty is increased, the resulting production plan deviates from the optimal solution of the deterministic model. On the other hand, production plans found using the robust counterpart are less vulnerable to parameter estimation errors.

DOI 10.1109/WSC.2017.8248067