The fashion business nowadays is subject to unpredictable changes, and in the context of garment sewing lines, most of the frontline
managers and supervisors often use the rule-of-thumb methods to solve common problems and make decisions. This leads to occasional unsatisfactory results. To solve this problem, a computerised coaching system based on data collected from the real production environment of garment factories was developed. Through simulation of virtual sewing lines, the system helps both frontline managers and supervisors who work in the production and planning control (PPC) process to forecast the impact of dierent decisions and identify the optimal solutions for manpower and machine allocations.
Website: http://www.simfactory.hk/
Following the logical flow of the most common progressive bundle system, frontline personnel will learn how to apply “industrial engineering” techniques and make use of the “what-if” analysis to forecast decisions by means of key performance indicators (KPIs). It helps them to build up sewing line management capability by maximising the production efficiency and optimising the utilisation of manpower and machinery resources.
Besides, this software is not a stand-alone product. A 2-day coaching programme is designed for the frontline management personnel to acquire industrial engineering techniques quickly and build up a professional decision-making capability in a safe and interactive virtual sewing line environment. The programme includes:
Basic Knowledge for Running the SimFactory
Process Streamlining Techniques
Performance Analysis and Actions
Target users of the industry can enjoy the following benefits by using this system:
Our research partner will provide the followings to the industry:
The research deliverable is now open for licensing. For more details, please contact us. (Email: info@hkrita.com ; Tel: (852) 2627 0180)
Award Name |
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中國服裝行業“優秀科技成果獎”(2014) |
Related ITF project | |
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Research Start Date | 2010-10-01 |
Industry Partner |
Clothing Industry Training Authority
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IP Number |
302450231
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