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

Title	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
Publication Date:	2022
Publication Place	- Elsevier
Subject	Design and reconfiguration of manufacturing systems, Facility planning and materials handling, Inventory control, Production planning and scheduling, Stochastic methods
Type	Document
Language	English
Digital	Yes
Manuscript	No
Library:	Özyeğin University
Library Asset ID	2405-8963
Record ID	d84cdb5e-729d-48c3-ab70-6873e39aa246
Library Location	Economics, Industrial Engineering
Date	2022
Sample Text	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

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

Publication Date 2022

Publication Place - Elsevier

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

Type Document

Language English

Digital Yes

Manuscript No

Library Özyeğin University

Library Asset ID 2405-8963

Record ID d84cdb5e-729d-48c3-ab70-6873e39aa246

Library Location Economics, Industrial Engineering

Date 2022

Sample Text 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