Please use this identifier to cite or link to this item: http://repository.kln.ac.lk/handle/123456789/25438
Title: A Model to Optimize the Sales and Purchases Invoice Payments of Working Capital in the Fast-Moving Consumer Goods Industry
Authors: Rathnasekara, J. P. D. T.
Wijayanayake, A. N.
Withanaarachchi, A.
Keywords: FMCG Industry, optimization, supply chain finance, working capital
Issue Date: 2022
Publisher: Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka
Citation: Rathnasekara J. P. D. T.; Wijayanayake A. N.; Withanaarachchi A. (2022), A Model to Optimize the Sales and Purchases Invoice Payments of Working Capital in the Fast-Moving Consumer Goods Industry, International Research Conference on Smart Computing and Systems Engineering (SCSE 2022), Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka. 268-275.
Abstract: Working capital optimization is critical in real business scenarios since it changes dynamically along with complex physical cash flows. In previous literature, working capital payment optimization mainly focused on the cash conversion cycle and cash on hand. In those studies, the objectives were to maximize the profit, maximize on hand cash flow or minimize the cost during the predefined period. However, in most cash maximization models, the time value of the money concept was not addressed. Further, in real-world scenarios, the time value of the money concept mainly affects the working capital and cash flow performances. In the proposed model, the time value of money concept was considered to get actual available cash at present. The objective of this proposed model is to maximize the current value of the money on hand while minimizing the cost within the considered time frame. The model was tested using Python along with CPLEX libraries. This study will be helpful to researchers, academics, and those working in the finance sector of the manufacturing industry to make better decisions on working capital invoice payments.
URI: http://repository.kln.ac.lk/handle/123456789/25438
Appears in Collections:Smart Computing and Systems Engineering - 2022 (SCSE 2022)

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