A mathemtical model for customer order assignment in manufacturing: Case in textyle Asia

dc.contributor.advisor	Mai, Thuy Dung
dc.contributor.author	Ly, Tu Anh
dc.date.accessioned	2024-03-21T02:31:29Z
dc.date.available	2024-03-21T02:31:29Z
dc.date.issued	2022
dc.identifier.uri	http://keep.hcmiu.edu.vn:8080/handle/123456789/5070
dc.description.abstract	The production planning and scheduling problem consider fulfilling customer requirements and market demand while allocating resources efficiently. Our paper presents the baseline (without overtime production) and extended (overtime production) models (Mixed – Integer Linear Programming) to minimize the total cost by dividing many big orders into small production quantities and allocating each quantity to many production sites. Python 3.9 is run to get the optimal solutions and validate the models. Finally, the sensitivity analysis of different cases is proposed to help the company get an overview and compare regular and overtime production.	en_US
dc.language.iso	en	en_US
dc.subject	Production planning	en_US
dc.title	A mathemtical model for customer order assignment in manufacturing: Case in textyle Asia	en_US
dc.type	Thesis	en_US