A robust optimization approach for production planning under exogenous planned lead times

Name: A robust optimization approach for production planning under exogenous planned lead times
Author: Albey, Erinç, Yanıkoğlu, İhsan, Uzsoy, R.

İsim	A robust optimization approach for production planning under exogenous planned lead times
Yazar	Albey, Erinç, Yanıkoğlu, İhsan, Uzsoy, R.
Basım Tarihi:	2019
Basım Yeri	- IEEE
Tür	Belge
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	978-1-7281-3283-9
Kayıt Numarası	5c569324-97be-4ee5-884d-e6703aa202c0
Lokasyon	Industrial Engineering
Tarih	2019
Örnek Metin	Many production planning models applied in semiconductor manufacturing represent lead times as fixed exogenous parameters. However, in reality, lead times must be treated as realizations of released lots' cycle times, which are in fact random variables. In this paper, we present a distributionally robust release planning model that allows planned lead time probability estimates to vary over a specified ambiguity set. We evaluate the performance of non-robust and robust approaches using a simulation model of a scaled-down wafer fabrication facility. We examine the effect of increasing uncertainty in the estimated lead time parameters on the objective function value and compare the worst-case, average optimality, and feasibility of the two approaches. The numerical results show that the average objective function value of the robust solutions are better than that of the nominal solution by a margin of almost 20% in the scenario with the highest uncertainty level.
DOI	10.1109/WSC40007.2019.9004671

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A robust optimization approach for production planning under exogenous planned lead times

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

Basım Tarihi 2019

Basım Yeri - IEEE

Tür Belge

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 978-1-7281-3283-9

Kayıt Numarası 5c569324-97be-4ee5-884d-e6703aa202c0

Lokasyon Industrial Engineering

Tarih 2019

Örnek Metin Many production planning models applied in semiconductor manufacturing represent lead times as fixed exogenous parameters. However, in reality, lead times must be treated as realizations of released lots' cycle times, which are in fact random variables. In this paper, we present a distributionally robust release planning model that allows planned lead time probability estimates to vary over a specified ambiguity set. We evaluate the performance of non-robust and robust approaches using a simulation model of a scaled-down wafer fabrication facility. We examine the effect of increasing uncertainty in the estimated lead time parameters on the objective function value and compare the worst-case, average optimality, and feasibility of the two approaches. The numerical results show that the average objective function value of the robust solutions are better than that of the nominal solution by a margin of almost 20% in the scenario with the highest uncertainty level.

DOI 10.1109/WSC40007.2019.9004671