The technician routing problem with experience-based service times

被引:52
|
作者
Chen, Xi [1 ]
Thomas, Barrett W. [1 ]
Hewitt, Mike [2 ]
机构
[1] Univ Iowa, Dept Management Sci, Tippie Coll Business, Iowa City, IA 52242 USA
[2] Loyola Univ, Quinlan Sch Business, Informat Syst & Operat Management, Chicago, IL 60611 USA
基金
美国国家科学基金会;
关键词
Workforce planning; Routing; Learning; SCHEDULING PROBLEM; LOCAL SEARCH; WORKFORCE; HEURISTICS; MODELS; SKILL;
D O I
10.1016/j.omega.2015.07.006
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
While home services are a fast growing industry, little attention has been given to the management of its workforce. In particular, the productivity of home-service technicians depends not only on efficiently routing from customer-to-customer, but also the management of their skillsets. This paper introduces a model of technician routing that explicitly models individualized, experience-based learning. The results demonstrate that explicit modeling and the resulting ability to capture changes in productivity over time due to learning lead to significantly better and different solutions than those found when learning and workforce heterogeneity is ignored. We show that these differences result from the levels of specialization that occur in the workforce. (C) 2015 Elsevier Ltd. All rights reserved.
引用
收藏
页码:49 / 61
页数:13
相关论文
共 50 条
  • [1] Multi-period technician scheduling with experience-based service times and stochastic customers
    Chen, Xi
    Thomas, Barrett W.
    Hewitt, Mike
    COMPUTERS & OPERATIONS RESEARCH, 2017, 82 : 1 - 14
  • [2] An approximate dynamic programming method for the multi-period technician scheduling problem with experience-based service times and stochastic customers
    Chen, Xi
    Hewitt, Mike
    Thomas, Barrett W.
    INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2018, 196 : 122 - 134
  • [3] The Field Technician Scheduling Problem with Experience-Dependent Service Times
    Yu, Vincent F.
    Lin, Yueh-Sheng
    Jodiawan, Panca
    Lin, Shih-Wei
    Lai, Yu-Chi
    MATHEMATICS, 2023, 11 (21)
  • [4] Quality of Experience-based Routing in Multi-Service Wireless Mesh Networks
    Matos, Ricardo
    Coutinho, Nuno
    Marques, Carlos
    Sargento, Susana
    Chakareski, Jacob
    Kassler, Andreas
    2012 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), 2012,
  • [5] Solving the Service Technician Routing and Scheduling Problem with Time Windows
    Khalfay, Amy
    Crispin, Alan
    Crockett, Keeley
    INTELLIGENT SYSTEMS AND APPLICATIONS, VOL 1, 2020, 1037 : 1168 - 1177
  • [6] Experience-Based Routing in Call Center Environments
    Robbins, Thomas R.
    SERVICE SCIENCE, 2015, 7 (02) : 132 - 148
  • [7] An Experience-based Collaborative Service System Model
    Atiq, Arzoo
    Gardner, Lesley
    Srinivasan, Ananth
    SERVICE SCIENCE, 2017, 9 (01) : 14 - 35
  • [8] A service ecosystem experience-based framework for sport marketing
    Tsiotsou, Rodoula H.
    SERVICE INDUSTRIES JOURNAL, 2016, 36 (11-12): : 478 - 509
  • [9] An Experience-based Approach for Cognitive Service Robot System
    Zhang, Liwei
    Saffiotti, Alessandro
    Pecora, Federico
    Zhang, Jianwei
    2014 11TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA), 2014, : 2225 - 2232
  • [10] Service Systems with Experience-Based Anecdotal Reasoning Customers
    Huang, Tingliang
    Chen, Ying-Ju
    PRODUCTION AND OPERATIONS MANAGEMENT, 2015, 24 (05) : 778 - 790