Production planning with flexible manufacturing systems under demand uncertainty

Name: Production planning with flexible manufacturing systems under demand uncertainty
Author: Elyasi, M., Özener, Başak Altan, Ekici, Ali, Özener, Okan Örsan

İsim	Production planning with flexible manufacturing systems under demand uncertainty
Yazar	Elyasi, M., Özener, Başak Altan, Ekici, Ali, Özener, Okan Örsan
Basım Tarihi:	2024
Basım Yeri	- Taylor & Francis
Konu	Flexible manufacturing systems, Inventory control, Production planning, Scheduling, Stochastic optimisation
Tür	Süreli Yayın
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	0020-7543
Kayıt Numarası	cbe50f6b-c268-41f9-b77d-79a09423248b
Lokasyon	Economics, Industrial Engineering
Tarih	2024
Örnek Metin	This paper delves into the impacts of an ongoing global crisis on the resilience of supply chains. Furthermore, it proposes measures to address and mitigate the disruptions caused by the prevailing uncertainties. For example, while the economy has started to recover after the pandemic and demand has increased, companies have not fully returned to their pre-pandemic levels. To enhance their supply chain resilience and effectively manage disruptions, one viable strategy is the implementation of flexible/hybrid manufacturing systems. This research is motivated by the specific requirements of Vestel Electronics, a household appliances company, which seeks a flexible/hybrid manufacturing production setup involving dedicated machinery to meet regular demand and the utilisation of flexible manufacturing system (FMS) to handle surges in demand. We employ a scenario-based approach to model demand uncertainty, enabling the company to make immediate and adaptive decisions that take advantage of the cost-effectiveness of standard production and the responsiveness of FMS. To solve the problem, we propose a heuristic algorithm based on column generation. The numerical results demonstrate that our optimisation model provides solutions with an average optimality gap of less than 6% while also reducing the average cost of standard production schemes without FMS by over 12%.
DOI	10.1080/00207543.2023.2288722
Cilt	62

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Production planning with flexible manufacturing systems under demand uncertainty

Yazar Elyasi, M., Özener, Başak Altan, Ekici, Ali, Özener, Okan Örsan

Basım Tarihi 2024

Basım Yeri - Taylor & Francis

Konu Flexible manufacturing systems, Inventory control, Production planning, Scheduling, Stochastic optimisation

Tür Süreli Yayın

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 0020-7543

Kayıt Numarası cbe50f6b-c268-41f9-b77d-79a09423248b

Lokasyon Economics, Industrial Engineering

Tarih 2024

Örnek Metin This paper delves into the impacts of an ongoing global crisis on the resilience of supply chains. Furthermore, it proposes measures to address and mitigate the disruptions caused by the prevailing uncertainties. For example, while the economy has started to recover after the pandemic and demand has increased, companies have not fully returned to their pre-pandemic levels. To enhance their supply chain resilience and effectively manage disruptions, one viable strategy is the implementation of flexible/hybrid manufacturing systems. This research is motivated by the specific requirements of Vestel Electronics, a household appliances company, which seeks a flexible/hybrid manufacturing production setup involving dedicated machinery to meet regular demand and the utilisation of flexible manufacturing system (FMS) to handle surges in demand. We employ a scenario-based approach to model demand uncertainty, enabling the company to make immediate and adaptive decisions that take advantage of the cost-effectiveness of standard production and the responsiveness of FMS. To solve the problem, we propose a heuristic algorithm based on column generation. The numerical results demonstrate that our optimisation model provides solutions with an average optimality gap of less than 6% while also reducing the average cost of standard production schemes without FMS by over 12%.

DOI 10.1080/00207543.2023.2288722

Cilt 62