Stochastic production planning with flexible manufacturing systems and uncertain demand: A column generation-based approach

Name: Stochastic production planning with flexible manufacturing systems and uncertain demand: A column generation-based approach
Author: Elyasi, Milad, Özener, Başak Altan, Ekici, Ali, Özener, Okan Örsan, Yanıkoğlu, İhsan

İsim	Stochastic production planning with flexible manufacturing systems and uncertain demand: A column generation-based approach
Yazar	Elyasi, Milad, Özener, Başak Altan, Ekici, Ali, Özener, Okan Örsan, Yanıkoğlu, İhsan
Basım Tarihi:	2022
Basım Yeri	- Elsevier
Konu	Design and reconfiguration of manufacturing systems, Facility planning and materials handling, Inventory control, Production planning and scheduling, Stochastic methods
Tür	Belge
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	2405-8963
Kayıt Numarası	d84cdb5e-729d-48c3-ab70-6873e39aa246
Lokasyon	Economics, Industrial Engineering
Tarih	2022
Örnek Metin	The ongoing pandemic, namely COVID-19, has rendered widespread economic disorder. The deficiencies have delayed production at manufacturers in several industries on the supply side. The effects of disruption were more notable for industries with longer supply chains, especially reaching East Asia. Regarding the demand, sectors can be divided into three categories: i) the ones, like e-commerce companies, that experienced augmented demand; ii) the ones with a plunged demand, like what hotels and restaurants experience; iii) the companies experiencing a roller-coaster-ride business. After mitigation efforts, the economy started recovering, resulting in increased demand. However, regardless of their struggles, the companies have not fully returned to their pre-pandemic levels. One of the strategies to gain resilience in its supply chain and manage the disruptions is to employ flexible/hybrid manufacturing systems. This paper considers a flexible/hybrid manufacturing production setting with typically dedicated machinery to satisfy regular demand and a flexible manufacturing system (FMS) to handle surge demand. We model the uncertainty in demand using a scenario-based approach and allow the business to make here-and-now and wait-and-see decisions exploiting the cost-effectiveness of the standard production and responsiveness of the FMS. We propose a column generation-based algorithm as the solution approach. Our computational analysis shows that this hybrid production setting provides highly robust response to the uncertainty in demand, even with high fluctuations.
DOI	10.1016/j.ifacol.2022.10.195
Cilt	55

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Stochastic production planning with flexible manufacturing systems and uncertain demand: A column generation-based approach

Yazar Elyasi, Milad, Özener, Başak Altan, Ekici, Ali, Özener, Okan Örsan, Yanıkoğlu, İhsan

Basım Tarihi 2022

Basım Yeri - Elsevier

Konu Design and reconfiguration of manufacturing systems, Facility planning and materials handling, Inventory control, Production planning and scheduling, Stochastic methods

Tür Belge

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 2405-8963

Kayıt Numarası d84cdb5e-729d-48c3-ab70-6873e39aa246

Lokasyon Economics, Industrial Engineering

Tarih 2022

Örnek Metin The ongoing pandemic, namely COVID-19, has rendered widespread economic disorder. The deficiencies have delayed production at manufacturers in several industries on the supply side. The effects of disruption were more notable for industries with longer supply chains, especially reaching East Asia. Regarding the demand, sectors can be divided into three categories: i) the ones, like e-commerce companies, that experienced augmented demand; ii) the ones with a plunged demand, like what hotels and restaurants experience; iii) the companies experiencing a roller-coaster-ride business. After mitigation efforts, the economy started recovering, resulting in increased demand. However, regardless of their struggles, the companies have not fully returned to their pre-pandemic levels. One of the strategies to gain resilience in its supply chain and manage the disruptions is to employ flexible/hybrid manufacturing systems. This paper considers a flexible/hybrid manufacturing production setting with typically dedicated machinery to satisfy regular demand and a flexible manufacturing system (FMS) to handle surge demand. We model the uncertainty in demand using a scenario-based approach and allow the business to make here-and-now and wait-and-see decisions exploiting the cost-effectiveness of the standard production and responsiveness of the FMS. We propose a column generation-based algorithm as the solution approach. Our computational analysis shows that this hybrid production setting provides highly robust response to the uncertainty in demand, even with high fluctuations.

DOI 10.1016/j.ifacol.2022.10.195

Cilt 55