Multi-stage scenario-based stochastic programming for managing lot sizing and workforce scheduling at Vestel

Name: Multi-stage scenario-based stochastic programming for managing lot sizing and workforce scheduling at Vestel
Author: Seyfishishavan, Seyed Amin, Yanıkoğlu, İhsan, Yılmaz, G.

İsim	Multi-stage scenario-based stochastic programming for managing lot sizing and workforce scheduling at Vestel
Yazar	Seyfishishavan, Seyed Amin, Yanıkoğlu, İhsan, Yılmaz, G.
Basım Tarihi:	2023-12
Basım Yeri	- Springer
Konu	Multi-stage decision making, Production planning, Stochastic programming, Workforce scheduling
Tür	Süreli Yayın
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	0254-5330
Kayıt Numarası	09196880-a7cb-4738-9f3c-f7e66a4a86e3
Lokasyon	Industrial Engineering
Tarih	2023-12
Notlar	TÜBİTAK
Örnek Metin	This study proposes a multi-stage stochastic production planning approach for a joint lot sizing and workforce scheduling problem under demand uncertainty. Scenario trees are used to model uncertainty in demand, and a multi-stage scenario-based stochastic linear program is developed. This model allows for both here-and-now and wait-and-see decisions providing flexibility for decision-makers to adjust production quantities according to the realized portion of demand and improve the overall effectiveness of production planning by better managing the number of active lines, workforce, and inventory levels. A matheuristic is developed for large-sized instances, which yields near-optimal solutions in practicable computation times. The proposed methods are demonstrated over a real data set taken from a Turkish home and professional appliances company, Vestel. The results show significant improvements in cost and CPU time performances for benchmark approaches, verifying the effectiveness of the proposed method.
DOI	10.1007/s10479-023-05741-4

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Multi-stage scenario-based stochastic programming for managing lot sizing and workforce scheduling at Vestel

Yazar Seyfishishavan, Seyed Amin, Yanıkoğlu, İhsan, Yılmaz, G.

Basım Tarihi 2023-12

Basım Yeri - Springer

Konu Multi-stage decision making, Production planning, Stochastic programming, Workforce scheduling

Tür Süreli Yayın

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 0254-5330

Kayıt Numarası 09196880-a7cb-4738-9f3c-f7e66a4a86e3

Lokasyon Industrial Engineering

Tarih 2023-12

Notlar TÜBİTAK

Örnek Metin This study proposes a multi-stage stochastic production planning approach for a joint lot sizing and workforce scheduling problem under demand uncertainty. Scenario trees are used to model uncertainty in demand, and a multi-stage scenario-based stochastic linear program is developed. This model allows for both here-and-now and wait-and-see decisions providing flexibility for decision-makers to adjust production quantities according to the realized portion of demand and improve the overall effectiveness of production planning by better managing the number of active lines, workforce, and inventory levels. A matheuristic is developed for large-sized instances, which yields near-optimal solutions in practicable computation times. The proposed methods are demonstrated over a real data set taken from a Turkish home and professional appliances company, Vestel. The results show significant improvements in cost and CPU time performances for benchmark approaches, verifying the effectiveness of the proposed method.

DOI 10.1007/s10479-023-05741-4