Judul: Study on Nestlé Internal Instructions: a Good Practice for Excellence in Compliance at PT. Nestlé Indonesia Jakarta
Abstrak: Nestlé Internal Instruction is the internal procedure of Nestlé in place to ensure full compliance with the regulatory requirements and to give implementation guidelines on company policy. Nestlé has already established its Nestlé Internal Instructions related to Quality Management which consist of instructions on Supplier Quality Assurance, Food Safety, Competitive Quality & Consumer, and Nestlé Quality Management System & Quality Training. The objective of this study during internship program as a final project is to identify and mapped Nestlé Internal Instruction as hard copy form related to Quality Management Department for excellence in compliance. The information was collected and evaluated based on the standards and regulations which can be obtained through the respected Authority Body’s website as softcopy form. Nestlé Internal Instructions related to Quality Management have already complied as a good practice for excellence in compliance. These Internal Instructions are also compliant with national or international regulations and standards. In some cases, Nestlé Internal Instructions are higher and stricter than regulations and standards depend on where the product is sold.
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Judul: Analysis of Quality Cost Ratio and Quality Lost Ratio at PT. Nestlé Indonesia-Panjang Factory.
Abstrak: Nestlé as one of the largest food companies in the world has implemented various systems to ensure the quality of the product. Zero waste is one of Nestlé’s commitments to give the best for their workers, environments, and consumers. There are several steps that must be done in order to achieve zero waste condition. The earliest stage is by analyzing the situation of cost related to quality at each factory. This will allow management to determine which sectors should get more attention in order to make the priority action more effective. This study is divided into four stages. The first stage is the data collection about cost component used for ratio calculation of cost related to quality. The collected data are converted into ratio. The purpose of making ratio is these that data are in the same unit so it will be easier to be compared. After that, these ratios are analyzed with Pareto diagram to determine components which become priority concern. Then the cost components considered as priority concern will be analyzed later to find the priority action that should be done to reduce the cost related to quality. Based on analysis performed, there are a lot of cost components that contribute to the cost related to quality. These are divided into two categories, namely quality cost and quality lost. After the data is converted into the ratio and analyzed with Pareto diagram, the cost components that have make the biggest contribution to the quality cost are monitoring analysis for finished product, raw material, environment, and investigation. For the quality lost category, cost components that have the biggest contribution are delayed released finished product, raw material, and packaging material. Efficiency in quality cost does not always mean that all component of cost that related to quality must be reduced. Sometimes the amount of certain component should be maintained or even added to reduce or prevent the other component. Based on the existing conditions and its data, priority actions will be more effective if focused on the delayed release of finished product.
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Judul: Approximation of the Median of Poisson Distribution Using the Relation of Poisson-Gamma Distribution
Abstrak: A major drawback of median is that median cannot usually be defined in closed form, even in the cases where their distribution functions are known. This study gives an approximation of the closed form for the median of the Poisson distribution by using the relation of Poisson-Gamma distribution. The approximation uses elementary techniques based on the monotonicity of certain sequences involving tail probabilities of the Poisson distribution and the Central Limit Theorem. Furthermore, a closed form expression for the mean absolute deviation 􀜧|􀜰􀰒 􀵆 􀜯􀝁􀝀􁈺􀜰􀰒􁈻| is also studied. The median is relevant because of the fact that it minimizes the mean absolute deviation of a Poisson random variable (􀜰􀰒􁈻 by considering median as central tendency.
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