A Study of Technical Challenges in Relocation of a Manufacturing Site

  • Guangming Zhang
  • Sameer Athalye
Part of the Massive Computing book series (MACO, volume 3)

Abstract

Data mining for information gathering has become a critical part in decision-making. Manufacturers today are competing in a global market. Staying in competition calls for the fullest use of information related to design and manufacturing to assure products with high quality, low cost and on-time delivery. In this chapter, a business strategy is set forth to relocate a manufacturing site that is closer to customers and a low-cost labor market. The study presented focuses on technical challenges related to the relocating process. To secure a smooth and productive transition, efforts have been made to review the current manufacturing process and establish a new production plan system that will be in place for controlling the production of new products. Case studies are presented in the area of route sheet preparation, shop floor layout design, animation based assembly training and parametric design assistance, demonstrating the impact of data mining on the production realization process.

Keywords

Data Mining Total Unit Cost Injection Molding Machine Operation Operation Data Mining Process 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media Dordrecht 2001

Authors and Affiliations

  • Guangming Zhang
    • 1
  • Sameer Athalye
    • 1
  1. 1.Department of Mechanical Engineering and Institute for Systems ResearchUniversity of Maryland at College ParkUSA

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