Incremental Modeling of Supply Chain to Improve Performance Measures

被引:1
|
作者
Gortowski, Szczepan [1 ,2 ]
Lewanska, Elzbieta [1 ]
机构
[1] Poznan Univ Econ, Fac Informat & Elect Econ, Dept Informat Syst, Al Niepodleglosci 10, PL-61875 Poznan, Poland
[2] Zabka Polska, Plac Andersa 7, PL-61894 Poznan, Poland
关键词
Supply chain; Performance measures; Supply chain design; Supply chain modeling; Big data; Data Science; Franchising; Retail;
D O I
10.1007/978-3-030-36691-9_53
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Supply chain modeling is one of the key tools to improve its performance measures. This research follows the principles of Design Science Research (DSR). The paper presents the concept of incremental modeling, which helps quick adaptation of the suply chain model. This method uses Data Science methods and Big Data. Evaluation of the method will be conducted on the franchise network. Hence, new performance measures classification that contains measures specific to the needs of the franchise network, has been developed. In particular measures that allow assessing the level of cooperation around conflicting goals of franchise network participants are included. The results will improve the cooperation of entities within franchise networks.
引用
收藏
页码:637 / 648
页数:12
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