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LDP Lean Document Production---O.R.-Enhanced Productivity Improvements for the Printing Industry

Author

Listed:
  • Sudhendu Rai

    (Xerox Innovation Group, Fairport, New York 14450)

  • Charles B. Duke

    (Xerox Innovation Group, Webster, New York 14580)

  • Vaughn Lowe

    (Xerox Services, Centreville, Virginia 20120)

  • Cyndi Quan-Trotter

    (Xerox Services, Seattle, Washington 98146)

  • Thomas Scheermesser

    (Xerox GmbH, 41460 Neuss, Germany)

Abstract

Xerox has invented, tested, and implemented a novel class of operations-research-based productivity-improvement offerings, trademarked LDP Lean Document Production® solutions, for the $100 billion printing industry in the United States. These solutions, which Xerox has implemented in approximately 100 sites to date, have provided dramatic productivity and cost improvements for both print shops and document-manufacturing facilities, as measured by reductions of 20--40 percent in revenue-per-unit labor cost. They have generated approximately $200 million of incremental profit across the Xerox customer value chain since their initial introduction in 2000. The offerings have extended the use of operations research to small- and medium-sized print shops, while increasing the scope of its application to large document-production facilities.

Suggested Citation

  • Sudhendu Rai & Charles B. Duke & Vaughn Lowe & Cyndi Quan-Trotter & Thomas Scheermesser, 2009. "LDP Lean Document Production---O.R.-Enhanced Productivity Improvements for the Printing Industry," Interfaces, INFORMS, vol. 39(1), pages 69-90, February.
  • Handle: RePEc:inm:orinte:v:39:y:2009:i:1:p:69-90
    DOI: 10.1287/inte.1080.0413
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    References listed on IDEAS

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    1. Peter J. M. van Laarhoven & Emile H. L. Aarts & Jan Karel Lenstra, 1992. "Job Shop Scheduling by Simulated Annealing," Operations Research, INFORMS, vol. 40(1), pages 113-125, February.
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