No abstract

Inherent uncertainties in demands and supply make it difficult for supply chains to achieve optimum inventory replenishment, resulting in loss of sales or keeping excessive inventories. An unkempt inventory can take up to one-third of an organization’s annual investment. Therefore, in order to compete with invariably erratic demands, it is not only challenging to develop an intelligent system to maintain and control an optimum level of inventory but has also become mandatory. Here we have tried to study the inventory control system of an EMU coach manufacturing industry using ABC and HML analysis method.

Many research has shown that approximately 70% of every medium to large scale industries have some type of quality improvement (QI) program. Depending on various independent studies, researchers have concluded that only onefifth of all QI projects show attractive output. The reason for this disappointing result is most of the QI programs are not result oriented. The main aim of this paper is to elaborate the value of using the Theory of Constraints (TOC), so that a result-oriented QI program can be achieved with a better bottom-line impact, which will be better than the traditional cost based selection process.