Restructuring Job Design Using Job Analysis to Balance Workload and Enhance Productivity

DOI

10.2991/978-94-6463-288-0_26How to use a DOI?

Keywords

Work Sampling; Workload Analysis; Job Analysis

Abstract

One logistics company in Indonesia has experienced a drastic increase of 60% in the demand for imported goods from 2018 to 2022. This upward trend is expected to continue. The admin staff, leader, and supervisor of the Export-Import Department feel the direct impact and are experiencing a higher workload leading to a growing number of outstanding billings to clients. Efforts to address the outstanding billing have been made by utilizing overtime, but this approach has proven ineffective when outstanding billing does not significantly decrease. To address this issue, productivity analysis using work sampling is necessary to determine if the workload is being utilized effectively. Additionally, workload analysis using Workload Analysis should be conducted to understand the magnitude and categories of workload experienced by the admin staff, leader, and supervisor. This research shows that the supervisor has a normal workload with productivity that can still be increased by approximately 3%. Field admin staff has an underload workload with productivity that can still be increased by approximately 5.3%. The leader and billing admin staff have an overload workload with optimal productivity. Based on the results of the two methods, the number of workers in each job role is currently optimal, namely 1. To reduce the workload of the leader and billing admin staff, a job design restructuring recommendation is needed to implement by transferring monitor PIC Field activity from leader to supervisor and updating tracking shipment activity from billing admin staff to field admin staff.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Revy Maghriza
AU  - Moses Laksono Singgih
PY  - 2023
DA  - 2023/11/19
TI  - Restructuring Job Design Using Job Analysis to Balance Workload and Enhance Productivity
BT  - Proceedings of the 4th International Conference on Informatics, Technology and Engineering 2023 (InCITE 2023)
PB  - Atlantis Press
SP  - 296
EP  - 311
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-288-0_26
DO  - 10.2991/978-94-6463-288-0_26
ID  - Maghriza2023
ER  -