Aptisi Transactions on Management
Vol 4 No 2 (2020): ATM (APTISI Transactions on Management)

Model Scheduling Optimization Workforce Management Marketing

Untung Rahardja (Unknown)
Fitri Andriyani (Unknown)
Triyono Triyono (Unknown)



Article Info

Publish Date
20 Feb 2020

Abstract

This research focuses on completing workforce management marketing scheduling using genetic metaheuristic methods. Optimal scheduling to determine the duration of a job, the quality of employees, and meet the challenges to increase work scheduling targets according to marketing employee skills by maximizing operational time while providing satisfactory services to customers. Marketing employees increasingly rely on the right time to connect with their customers. The problem in this study considers marketing skills and activities to carry out work activities, namely promotion, follow-up, and stand-by in the office with the limitations of the existing workforce. This problem has the nature of NP-Hard so a quick solution requires the use of metaheuristic methods. The metaheuristic method was built in 11 constraints. The results show that the genetic metaheuristic method is capable of producing far better results. Therefore, employee scheduling is very important. This study aims to develop an optimization model for employee scheduling and to maximize operational time work. With this model, it is expected to achieve optimal scheduling for marketing management workforce.

Copyrights © 2020






Journal Info

Abbrev

ATM

Publisher

Subject

Computer Science & IT Decision Sciences, Operations Research & Management

Description

Aptisi Transactions on Management (ATM) adalah jurnal ilmiah yang diterbitkan oleh APTISI (Asosiasi Perguruan Tinggi Swasta Indonesia), guna memfasilitasi hasil jurnal ilmiah Civitas Akademika dalam bidang teknologi informasi, komunikasi, dan manajemen dalam menghadapi era digital di Indonesia. ATM ...