A Cloud-based Kanban Decision Support System for Resource Scheduling & Management

被引:13
作者
Krishnaiyer, Krishnan [1 ]
Chen, F. Frank [1 ]
机构
[1] Univ Texas San Antonio, 1 UTSA Circle, San Antonio, TX 78023 USA
来源
27TH INTERNATIONAL CONFERENCE ON FLEXIBLE AUTOMATION AND INTELLIGENT MANUFACTURING, FAIM2017 | 2017年 / 11卷
关键词
Kanban; Cloud-based Decision Support System; Scheduling; Lean Manufacturing; Operations Management; LEAN THINKING; CLASSIFICATION;
D O I
10.1016/j.promfg.2017.07.280
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
For many decades, lean manufacturing methodologies have become a panacea for manufacturing system improvement particularly in operations and supply chain management. The paper demonstrates how a cloud-based Kanban decision support system, combined with a robust continuous improvement methodology, can help operation managers to make an efficacious decision. Various applications in the literature infer Kanban as a method to control inventory. We propose a novel method named, Estimated, Actual and Total (EAT) Kanban Decision Support System (DSS), that has practical application in a dashboard type monitoring of processes. We share successful prototype implementation that leads to consolidation of 157 spreadsheets into one database. (C) 2017 Published by Elsevier B.V.
引用
收藏
页码:1489 / 1494
页数:6
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