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| Content Provider | ACM Digital Library |
|---|---|
| Author | Dispoto, Gary Kothari, Sunil Zeng, Jun |
| Abstract | Service level forecasting and capacity planning is uniquely challenging in commercial and industrial print service providers (PSPs) due to: 1) Large variations in supply and demand. Diverse service requests arrive stochastically; production processes heavily rely on manual work, are fault-prone and weakly structured. 2) Little or no factory audit data. Most PSPs do not have means to track production events. 3) Lack of affordable modeling tools and expertise. Many tools cost thousands of dollars and require simulation experts to spend weeks on customer sites. We developed Print Production Designer (PPD) to attack the aforementioned challenges. Powered by a custom factory dynamics simulation engine based on UC Berkeley's Ptolemy toolkit and deployed as a cloud service, PPD brings quantitative trade-offs to light, optimizes customers' information, and helps them to reach the right printing press purchasing decision. A typical PPD run costs \$5.28 which is affordable for even small-sized PSPs. |
| Starting Page | 3924 |
| Ending Page | 3924 |
| Page Count | 1 |
| ISBN | 9781479920778 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2013-12-08 |
| Access Restriction | Subscribed |
| Content Type | Text |
| Resource Type | Article |
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