value of information;
installed base information;
information quality;
forecasting;
spare parts logistics planning;
practice of OR;
POSTOPTIMALITY ANALYSIS;
SERVICE;
AGGREGATION;
MANAGEMENT;
NETWORK;
QUALITY;
SYSTEMS;
D O I:
10.1057/jors.2010.38
中图分类号:
C93 [管理学];
学科分类号:
12 ;
1201 ;
1202 ;
120202 ;
摘要:
Many of the challenges in spare parts logistics emerge due to the combination of large service networks, and sporadic/slow-moving demand. Customer heterogeneity and stringent service deadlines entail further challenges. Meanwhile, high revenue rates in service operations motivate companies to invest and optimize the service logistics function. An important aspect of the spare parts logistics function is its ability to support customer-specific requirements with respect to service deadlines. To support customer specific operations, many companies are actively maintaining and utilizing installed base data during forecasting, planning and execution stages. In this paper, we highlight the potential economic value of installed base data for spare parts logistics. We also discuss various data quality issues that are associated with the use of installed base data and show that planning performance depends on the quality dimensions. Journal of the Operational Research Society (2011) 62, 442-457. doi:10.1057/jors.2010.38 Published online 19 May 2010
机构:
Texas State Univ, Ingram Sch Engn, San Marcos, TX 78666 USATexas State Univ, Ingram Sch Engn, San Marcos, TX 78666 USA
Jin, Tongdan
Tian, Yu
论文数: 0引用数: 0
h-index: 0
机构:
Sun Yat Sen Univ, Sun Yat Sen Business Sch, Guangzhou 510275, Guangdong, Peoples R ChinaTexas State Univ, Ingram Sch Engn, San Marcos, TX 78666 USA