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Efficient Scheduling for Salesperson Monitoring System

영업사원 관제시스템의 효율적인 경로 스케줄링

  • Kim, Seung (Department of Industrial Engineering, Pusan National University) ;
  • Min, Yeong-Bin (Department of Industrial Engineering, Seoul National University) ;
  • Lee, Woo-Key (Department of Industrial Engineering, Inha University) ;
  • Bae, Hye-Rim (Department of Industrial Engineering, Pusan National University)
  • 김승 (부산대학교 산업공학과) ;
  • 민영빈 (서울대학교 산업공학과) ;
  • 이우기 (인하대학교 산업공학과) ;
  • 배혜림 (부산대학교 산업공학과)
  • Received : 2011.05.19
  • Accepted : 2011.10.20
  • Published : 2011.12.01

Abstract

Salesperson Monitoring System (SMS) is geographic based information system that supports business auditing, sales area coordinating and customer management for each salesperson. Conventional SMSs focus mainly on the monitoring or logging functions, i.e., a salesperson locating or moving trail tracking. However, the schedules have been planned by human planner, and they have rarely been managed with a software system like SMS. In this paper, a mixed integer programming model for a salesperson routing schedule is provided. Then, 2-phase Genetic Algorithm (GA) is proposed to make salesperson routing schedule. Experimental results show a validity of the proposed method.

Keywords

References

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