Design of job assignment and routing policies in service logistics

• Main Authors: Yücel Bayrak, Mert Karakaya, Özlem Tok Özkeskin, Zeynep Alibaşoğlu, Simge Çoban, Ayhan Özgür Toy, Zehra Düzgit
• Format: Article
• Language: English
• Published: Pamukkale University 2019-12-01
• Series: Pamukkale University Journal of Engineering Sciences
• Subjects: job assignment; job routing/sequencing; mathematical modelling; mixed integer programming; i̇ş atama; i̇ş rotalama/sıralama; matematiksel modelleme; karışık tamsayılı programlama
• Online Access: https://dergipark.org.tr/tr/pub/pajes/issue/51128/668221
• ISSN: 1300-7009; 2147-5881

In this study, we consider to improve efficiency of an after-sales technical service in home appliances industry. The efficiency measure is the total time spent in a day to serve customer requests. Hence, the objective is to minimize total working hours spent in a day in the after-sales services. We first analyze the system to identify causes of delays in job completion. Upon findings of our analysis we choose to focus on job assignment and job sequencing to improve efficiency. We propose a mixed integer programming model for the assignment of technicians to jobs and sequencing of jobs for each technician to minimize total time spent in a day. Through this model we solve the problem with expected job durations. We present a numerical study to illustrate the proposed solution procedure.