Operational characteristics and time series analysis of a home furniture delivery and assembly service in Indonesia
2
Issued Date
2024
Copyright Date
2017
Resource Type
Language
eng
File Type
application/pdf
No. of Pages/File Size
xiii, 180 leaves : col. ill.
Access Rights
open access
Rights
ผลงานนี้เป็นลิขสิทธิ์ของมหาวิทยาลัยมหิดล ขอสงวนไว้สำหรับเพื่อการศึกษาเท่านั้น ต้องอ้างอิงแหล่งที่มา ห้ามดัดแปลงเนื้อหา และห้ามนำไปใช้เพื่อการค้า
Rights Holder(s)
Mahidol University
Bibliographic Citation
Thesis (M.Eng. (Civil Engineering))--Mahidol University, 2017
Suggested Citation
Wicaksono, Tangguh, 1990- Operational characteristics and time series analysis of a home furniture delivery and assembly service in Indonesia. Thesis (M.Eng. (Civil Engineering))--Mahidol University, 2017. Retrieved from: https://repository.li.mahidol.ac.th/handle/123456789/92419
Title
Operational characteristics and time series analysis of a home furniture delivery and assembly service in Indonesia
Author(s)
Abstract
This research extensively studied the characteristics of internal and outbound logistics operations, demand forecasting and issues of a home furniture delivery and assembly service (HFDAS) provider. The case studies are HFDAS Jakarta and Bangkok. The unified modelling language was used to breakdown the activities in the Value Stream Mapping (VSM) analysis. The performance evaluation was conducted to monitor the quality of service. Various time series analysis techniques were adopted to model and predict the daily demand. The results showed that transportation activity dominated the service time taking 52.6% of the average total time for delivery service. It was the key factor explaining the reason why transportation activity consumed 54% of the total cost in 2015. The long transportation time was caused by traffic congestion and the inefficient transport management, particularly route planning. Regarding the demand forecast, the Holt-Winters method showed the best accuracy and predictability in terms of mean absolute error (MAE), mean absolute percentage error (MAPE) and U-statistics. It is then proposed to be used to prepare better operational guidelines for labor, fleet and warehouse operations
Description
Civil Engineering (Mahidol University 2017)
Degree Name
Master of Engineering
Degree Level
Master's degree
Degree Department
Faculty of Engineering
Degree Discipline
Civil Engineering
Degree Grantor(s)
Mahidol University