Small and Medium Enterprise (SME) has limitations in capital to upgrade the production process especially in installing new machines in parallel line. Generally the machines are installed in single-line and not equipped with a modern technology. If any machines in the series are breakdown and stopped, the whole production system also stopped. By understanding the condition, most of SMEs struggle to reduce the overhead cost and increase the company's profit by escalating the availability of the machines. A simple yet powerful Markov model is used in this study to identify the prime cost involves in production line downtimes. The influence of the performance of a single machine on a line is investigated. A case study in the production of the tamarind juice drink, obviously when the failure rate of the machines is reduced, the cost of lost also can be reduced. Keywords-simple markov model; single line productionI.
The determination of process mean is important in industries especially items that governed by laws and regulations on net content labeling. Thus, the economic selection of process targeting mainly the optimum process mean is critically significant since it will directly affected the quality characteristic of the item. Depending on the value of quality characteristic, an item can be reworked, scrapped or accepted by the system which is successfully transform to the finishing product by using the Markovian model. By assuming the quality characteristic is normally distributed, the optimum process mean is obtained via probability of the item being rework, scrap and accepted. In this paper, we present the analysis of selecting the process mean by referring to drink bottling production process. By varying the rework and scrap cost, the analysis shows the sensitivity of the Markov approach to determine process mean which maximizes the expected profit per item. Then an improvement of determining the optimal mean estimation is proposed to simplify the iteration process.
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