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Data in an Enterprise System       31



                          •  Production planning is carried out.
                          •  Service or maintenance is performed.
                           A plant can be a factory, a warehouse, a regional distribution center, a
                       service center, or an offi ce. It can be a part of a building, an entire building,
                       or a collection of buildings. In addition, a single building can house multiple
                       plants. Consider, for example, a company that has several offi ces in a build-
                       ing. Different services or activities, such as processing customer returns and
                       providing technical support to customers, are performed in these offi ces. Each
                       of these offi ces is defi ned as a separate plant. Just as a client can have multiple
                       company codes, a company code can contain multiple plants. However, a plant
                       can belong to only one company code.
                           As illustrated in Figure 2-7, GBI operates fi ve plants for the manufacture
                       and storage of bicycles and accessories. Three plants are located in the United
                       States—in Dallas (DL00), San Diego (SD00), and Miami (MI00). The Dallas
                       plant is a manufacturing facility, whereas the other two are distribution centers
                       from which products are shipped to customers. The Dallas plant ships prod-
                       ucts to customers as well. The other two plants are located in Germany—in
                       Hamburg (HB00) and Heidelberg (HI00). The Heidelberg plant operates as
                       both a manufacturing facility and a distribution center, while the Hamburg
                       plant is exclusively a distribution center.





                                                                                      ®
                         Business Processes in Practice 2.1: Coca-Cola
                         Enterprises

                         Coca-Cola Enterprises provides us with a good example   products, are then shipped to regional distribution cen-
                         of a company that has several types of plants. Coca-  ters for storage until they are transported to end cus-
                         Cola operates factories that produce both raw materials   tomers, such as retailers. The syrup factory, the bottling
                         and fi nished goods. Some factories produce the syrup   factory, and the distribution center are all considered
                         that forms the basis of the Coca-Cola products you are   plants in Coca-Cola’s SAP ERP system.
                         familiar with. Other factories combine the syrup with
                                                                       Source: Coca-Cola Company Reports & CCE CIO presentation
                         carbonated water during the bottling process to make
                                                                       at SAP Sapphire 2008.
                         the fi nished Coca-Cola products.  The fi nished  goods,
                         which consist of cases of bottles and cans of Coca-Cola





                       MASTER DATA
                       Master data represent entities associated with various processes. For exam-
                       ple, processes involve buying materials from vendors and selling materials to
                       customers. In this example, customers, vendors, and materials are represented
                       in an ERP system using master data.
                           The most commonly used master data in an organization is the material
                       master. Materials are used in numerous processes. They are purchased, sold,
                       produced, and planned for. They are used in maintenance and service, and
                       in projects. Consequently, material master data are some of the most com-
                       plex and extensively utilized data in an ERP system. In contrast, other master






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