Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/14282
Title: An efficient production material demand order management system for a mould manufacturing company
Authors: Poon, TC
Choy, KL 
Lau, HCW
Keywords: Genetic algorithms
Pick-up route management
Resource management
RFID
Issue Date: 2011
Publisher: Taylor & Francis
Source: Production planning and control, 2011, v. 22, no. 8, p. 754-766 How to cite?
Journal: Production planning and control 
Abstract: In a real-life dynamic production environment, problems such as workers' absenteeism, machine breakdowns and loss of materials frequently occur. Small batches of production materials have to be delivered from a warehouse to the production shop floor often within a short period of time. In order to handle such material demand orders so as to maintain the productivity of the shop floor, it is essential to allocate warehouse resources effectively. In this article, an efficient production material demand order management system (PMDOMS) is proposed to cope with such issues. An automated data capturing technology - radio frequency identification and an advanced problem solving technique - genetic algorithms, are adopted in the PMDOMS. The integration of these technologies helps enterprises improve their operational efficiency on the production floor. Through application in a case study in the ABC Company, it is proved that PMDOMS significantly improves the productivity in both the production and the warehouse environment.
Description: The special issue is mainly based on selected papers from the Industrial Engineering and Systems Management conference in Montreal, Canada (2009).
URI: http://hdl.handle.net/10397/14282
ISSN: 0953-7287
EISSN: 1366-5871
DOI: 10.1080/09537287.2010.543559
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