Two-level uncapacitated lot-sizing problem considering the financing cost of working capital requirement

2020 ◽  
Vol 7 (2) ◽  
pp. 248-258
Author(s):  
Yuan Bian ◽  
David Lemoine ◽  
Thomas G. Yeung ◽  
Nathalie Bostel
2021 ◽  
pp. 159-166
Author(s):  
Yuan Bian ◽  
David Lemoine ◽  
Thomas G. Yeung ◽  
Nathalie Bostel ◽  
Vincent Hovelaque ◽  
...  

Author(s):  
Ruqia Shaikh ◽  
Pervaiz Ahmed Memon ◽  
Muhammad Shaique Khan ◽  
Muhammad Usman

 Abstract The study investigates the dynamism of working capital requirement (WCR) in non-financial firms listed on the Pakistan Stock Exchange from the period of 2007 to 2013. The purpose of this research is to analyze whether firms follow the target WCR, to estimate the speed with which firms adjust towards its target WCR and to investigate the firm-specific and macroeconomic determinants of WCR. Difference GMM technique is used to analyze the speed and determinants of WCR to avoid the problems of endogeneity and unobservable heterogeneity. The study gives evidence that there is an existence of target WCR in firms of Pakistan and firm require 1.6 years to completely adjust back to target WCR. The factors which are statistically significant in the determination of WCR are the level of economic activity in the country, operating cash flow, profitability, leverage, financial distress, and financing cost. The WCR is measured by net trade cycle of a firm.


2019 ◽  
Vol 4 (2) ◽  
pp. 205-214
Author(s):  
Erika Fatma

Lot sizing problem in production planning aims to optimize production costs (processing, setup and holding cost) by fulfilling demand and resources capacity costraint. The Capacitated Lot sizing Problem (CLSP) model aims to balance the setup costs and inventory costs to obtain optimal total costs. The object of this study was a plastic component manufacturing company. This study use CLSP model, considering process costs, holding costs and setup costs, by calculating product cycle and setup time. The constraint of this model is the production time capacity and the storage capacity of the finished product. CLSP can reduce the total production cost by 4.05% and can reduce setup time by 46.75%.  Keyword: Lot size, CLSP, Total production cost.


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