BUSINESS PROCESS ANALYSIS FOR IMPROVEMENT IN INDUSTRIAL MACHINE & SERVICE DIVISION, PT PINDAD

• Main Author: (NIM : 29108061); Pembimbing: Dr. Ir. Mursyid. HB, HAIKAL
• Format: Theses
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/15831
• Institution: Institut Teknologi Bandung

As a company dealing in large array of product and services, PT.Pindad has various division worked in different way to satisfy different customer. One of this division is the division of industrial engineering and service(mijas division), which is the base for this <br /> <br /> <br /> research workplace. As an old and fairly independent division of PT Pindad, mijas division has develop its own business process for all aspect. In this study there have been interview and analysis of the condition inside the division and the result is that some of the biggest <br /> <br /> <br /> current issue of the division is the late delivery time of its product which reach to 24 days/project on average. After further analysis, this lateness of delivery is concluded to be originated from the over complexity of its business process. Some report on the time schedule, and the original business process used by the division has been put on this research as an evidence of this problem. In this study, the BPMN standard will be used to build a model of the division business process. The BPMN standard is taken because it is an activity based standard that consider time flow and the action taker inside a process. To improve the existing process, at first they are converted into BPMN model, and then the redundant and unnecessary activities are being analyzed and eliminated. The result is being made into a new business process scheme. The result of these solution is an 11 day improvement of the overall business process, which result in the avoidance of late of delivery sanction in most contract clausul. There is also other side suggestion to solve the late of delivery issue outside of the business process, including joint database sistem and human resource training. The overall solution is then made into an application schedule and after some calculation, result in expected saving of <br /> <br /> <br /> about Rp 18.79Billion.