Model Scheduling Optimization Workforce Management Marketing

Aptisi Transactions on Management (ATM)

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Title Model Scheduling Optimization Workforce Management Marketing
Model Scheduling Optimization Workforce Management Marketing
 
Creator Rahardja, Untung
andriyani, fitri
Triyono, Triyono
 
Description 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.
 
Publisher iLearning Journal Center (iJC)
 
Date 2020-02-20
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Artikel Peer-review
 
Format application/pdf
 
Identifier http://ijc.ilearning.co/index.php/ATM/article/view/1259
10.33050/atm.v4i2.1259
 
Source Aptisi Transactions on Management (ATM); Vol 4 No 2 (2020): ATM (APTISI Transactions on Management); 92-100
Aptisi Transactions on Management (ATM); Vol 4 No 2 (2020): ATM (APTISI Transactions on Management); 92-100
2622-6804
2622-6812
10.33050/atm.v4i2
 
Language eng
 
Relation http://ijc.ilearning.co/index.php/ATM/article/view/1259/349
 
Rights Hak Cipta (c) 2020 Aptisi Transactions on Management (ATM)
 

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