DEVELOPING A LINEAR PROGRAMMING MODEL TO MAXIMIZE PROFIT WITH MINIMIZED LEAD TIME OF A COMPOSITE TEXTILE MILL

• Main Authors: Sourav Kumar Ghosh, Sumon Hossain, Hafijur Rahman, Naurin Zoha, Mohammad Arif-Ul Islam
• Format: Article
• Language: English
• Published: Institute of Technology and Education Galileo da Amazônia 2020-04-01
• Series: ITEGAM-JETIA
• Online Access: https://itegam-jetia.org/journal/index.php/jetia/article/view/650

In the competitive market of apparel manufacturing, lead time for production plays a significant role in the delivery of the produces impacting the entire supply chain. Nowadays, composite manufacturers are leaning towards delivering within the shortest possible time to retain customers in this competitive market. To meet this challenge, proper production planning either using the correct method or the appropriate tools is a prerequisite condition; otherwise, mills will inevitably suffer losses or fail to drain out the maximum possible profit from the produces and may also suffer from promoting more expenses rather than yielding revenues. This study deals with the development of a linear programming model in order to reduce the complexity of the scheduling problem of a Composite Textile Industry in pursuit of maximizing profit or minimizing production costs. The model is developed considering process segmentation, utilization of machines and other resources, with respect to lead time. Four different components of the lead time are derived and an excel solver is used in solving the model.