Designing A Scheduling Model For Workforce Allocation: A Case Study In Gs25-Inhouse Distribution Center
Abstract
With the retail market's consistent annual expansion, GEMADEPT Inhouse's
distribution center operation is struggling to keep up with demand. This project aims
to create a model for multi-skilled worker workforce planning issues. It is suggested
that to solve a workforce allocation problem for fluctuating demand with triangular
fuzzy values, this problem is addressed using mixed integer programming.
The GS25 case study has three primary, non-conflicting target functions: reduce the
number of employed personnel; reduce total costs; and give preference to male
employees over female employees when scheduling shifts. The results of this project
include a model that was created to address the issue of scheduling activities in the
distribution warehouse to reduce costs, time, and human labor. It can also be used for
various types of fluctuation-focused planning for other businesses. However, there are
several drawbacks, such as the lack of a comprehensive study of sustainable
employment in terms of social responsibility, which may make it unsuitable for smaller
or larger firms.
In this paper, the application of the proposed approach is investigated using a case study
with real-world data from the GS25 distribution center.