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- IBM - International Business Management (2) (remove)
This study aims to deliver a strategic and systematic analysis about the consumer loans banking business with the integration of industry 4.0. Industry 4.0 itself comprise of a lot of things in regards of advance technology being used in order to create more value to the company. The purpose of this study also determine which components of industry 4.0 are suitable and applicable in the consumer loans banking business. This thesis uses secondary data as a primary resource to provide research objective. The secondary data collected through the use of published journal literature as well as the academic literatures. The research starts by providing the general information and literature about the consumer loans banking business and the industry 4.0 as well. Following by the reason why the consumer loans banking business need the technological advancement of industry 4.0. Next, this thesis also gathers the quantitative data related to financial measurement to provide more understanding the consumer loans banking business. The analysis is carry out by using the three level of environmental analysist segmentation in which commonly use for the industry analysis. The first factor is the PEST analysis, it resembling the external factor of the industry, second is the Porter’s five forces to explaining the operating forces within the industry, the third is the value chain analysis. The findings of this thesis pose important implication for bank consumer loans business stakeholders with the purpose to integrate or related to industry 4.0 technological advancement, providing enough information about the keys factor and analysis behind the industry.
Advantest Company ("the company") is the world’s leading manufacturer of automatic test and measurement equipment used in the design and manufacturing of semiconductors. Because of the complexity of technologies and the supply chain of the semiconductor business segment, the company depends on both internal and external suppliers to manage some aspects of the supply chain of its main product, the System on Chip (“SoC”) test system. As a result, it is of ongoing interest to the company to have tools to continually strive for increased quality, reliability, capacity, and speed. Above all, these tools must enhance the relationships with the suppliers, and ensure the profitability and the company's position in the future.
The goal of this thesis is to understand the supply chain procedure at Advantest Company’s current state from the data-driven perspective by using the process mining technique. This technique is an emerging discipline, providing a comprehensive set of tools to provide fact-based insights and support process improvement. This new discipline is built on process model-driven approaches and data mining.
In this thesis, we discuss opportunities for process mining with an approach to analyse the process and how it can help the company enhance the procedure. This approach, which consists of data extraction from both third-party and internal software solutions, provides better visibility and faster disruptive event notification of the supply chain at the company.