CIP4 Announces 2009 CIPPI Award Winners
Cloître Imprimeurs, Saint-Thonan, France
• Annual revenue of 12,000,000 ¤ with 115 people.
• Previously ran an average of 40 jobs per day using paper job tickets for every stage of production and plagued by loss of time by creating incomplete paper job ticket
• loss of time by communicating the jobs list to the different process
• risk of error by manual interpretation of technical information
• delay in updating the job status
• loss of time and of reliability when additional or revised instructions come in on a job from customer
• limited precision in raw material consumption and no control on make ready waste
• delay in cost management and invoicing because of a necessary control of manual data collection
• Supported by GamSys Software, Kodak, Komori, and Müller Martini
• Completely electronic job ticket
• Automatic communication between productions devices
• Standardization of production parameters without human interpretation
• Real-time job status updates and cost management
• Great flexibility in planning
• High level of precision in raw material consumption and make ready waste
• Savings of more than 30 minutes per job in processing time.
• Decrease on waste of materials (paper, plates, ink, chemical products) with a relevant impact on the environment.
Emirates Printing Press, Dubai, United Arab Emirates
• Previously had modern software and equipment from Kodak, Heidelberg, Enfocus, GMG, Komori, manroland, Muller Martini and Epson and yet:
• All job details were keyed in by the operator at each machine.
• Job costing information was captured manually
• Emirates had to resolve production bottlenecks to keep up with increased demand.
• Supported by Müller Martini and Technique
• JDF allows fully automatic setup of the machines, which provides significant labor savings and allows more scheduling flexibility, as make-ready is dramatically reduced so changing product sizes from job to job has much less impact.
• Automated all aspects of production (with some postpress operations remaining to be completed)
• Reduced administrative processing costs by 15 %
• Reduced cost of data collection by 90 %
• Reduced job cost processing by 10 %
• Reduced analytical reporting time by 75 %