BHINNEKA SANGKURIANG TRANSPORT’S TIRE MANAGEMENT SYSTEM EVALUATION AND REDESIGNED FOR LIFE DATA ANALYSIS USING DMAIC

• Main Author: Setyadharma, Adrian
• Format: Theses
• Language: Indonesia
• Subjects: Manajemen umum
• Online Access: https://digilib.itb.ac.id/gdl/view/53282
• Institution: Institut Teknologi Bandung

The development of infrastructures follows by the increase of the e-commerce market will create new competitors in Indonesia Transportation Business especially Road Transportation. Bhinneka Sangkuriang Transport (BST) is an Indonesian Transportation Service Company that provide intercity transportation (big bus and light commercial van) and truck rental services. BST Company wants to reduce tires cost because tire procurement cost is one of the biggest cost in the BST’s maintenance cost. The tire cost can count up to 2.5 billion rupiah annually (260 rupiah per kilometer). On the bus operation, there are many factors that contribute to tire wear and failures. The environment, human, and random operating condition make tire process very complex to control. Due to the complexity, tires process will be improved with analyzing tire failures data (managing risk). Unfortunately, most of tire data do not complete, so analysis for improvement cannot be conducted. In this research, tire management system function will be added with the system capability for conducting Life Data Analysis. Then tire management system will be evaluated by interviewing BST’s employee, analyzing tire data, and conducting field survey on BST’s maintenance workshop (Cirebon). Failures will be searched through these data and root causes of this failures will be identified. Tire management system will be redesigned based on these failures, root causes, and Life Data Analysis function requirement so the BST’s employee can analyze, prioritize, and create improvement (reduce tire cost) continuously. At the end of the research, plans will be created for implementing the study. The target of implementing the redesigned tire management system are tire historical data completion (95%), bus activity data completion (100%), and provide the BST’s employee with complete data to analyze the tire failures (physical and system) for reducing tire cost with the system.