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Cloud Kanban Framework for Service Operations Management
- Source :
- Procedia Manufacturing. 17:531-538
- Publication Year :
- 2018
- Publisher :
- Elsevier BV, 2018.
-
Abstract
- As continuous improvement tools evolve, so does the complexity and the size of data. With the ubiquity of data and the scale of machine automation, abilities for rapid decision making and handling of ever increasing complexity of system become necessary. Kanban is on the robust tool to visualize any process. In this paper, we propose a cloud Kanban framework that enables deployment of process excellence. The study addresses two research questions: (1) how can a robust cloud-based Kanban decision support framework work for a service industry, particularly in operations? (2) how can an evolutionary algorithm, specifically Ant Colony Optimization (ACO), augment a cloud-based Kanban decision support framework?
- Subjects :
- 0209 industrial biotechnology
Decision support system
business.industry
Computer science
Process (engineering)
Ant colony optimization algorithms
05 social sciences
Evolutionary algorithm
Kanban
ComputerApplications_COMPUTERSINOTHERSYSTEMS
Cloud computing
02 engineering and technology
Automation
Industrial and Manufacturing Engineering
020901 industrial engineering & automation
Artificial Intelligence
Software deployment
0502 economics and business
business
Software engineering
050203 business & management
Subjects
Details
- ISSN :
- 23519789
- Volume :
- 17
- Database :
- OpenAIRE
- Journal :
- Procedia Manufacturing
- Accession number :
- edsair.doi...........630ae4d4d5cf1c91a01809ef360994dd