Master productions scheduling with goal programming on lithium battery production: case study

11th Curtin University Technology, Science and Engineering (CUTSE) International Conference

工业技术（总论）

Mursid, C.A.^1 ; Sutopo, W.^2 ; Yuniaristanto^2

Logistics System and Business Laboratory, Universitas Sebelas Maret Surakarta, Indonesia^1

Department of Industrial Engineering, Universitas Sebelas Maret Surakarta, Indonesia^2

关键词: Aggregate production planning;    Battery production;    Company performance;    Decision variables;    Literature reviews;    Objective functions;    Production capacity;    Production planning IS;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/495/1/012046/pdf
DOI  :  10.1088/1757-899X/495/1/012046

学科分类：工业工程学

来源: IOP

【 摘 要 】

Production planning is intendedn to determines the course of a production process such as planning, managing resources, and producing output in accordance with orders from consumers that are arranged in Master Production Schedulling. The Baterai Smart Energi factory of UNS has not maximized the management of production capacity in determining the amount of production according to the order target of Lithium Ion batteries. This led to the remaining production orders that were quite large for the next period. The purpose of this study was to calculate the estimated demand and to develop aggregate production planning for the Battery Plant to meet the lowest cost demand. Data was collected through literature review and secondary data collected directly from the company itself. Then, a manual formulation by programming the content of the linear method of decision variables, objective function and constraint. The results show that model performance is superior to actual company performance in terms of total costs and an increase in the estimated window length can increase costs.