Information systems for manufacturing often follow a three-layer architecture based on an enterprise resource planning (ERP) layer (for order planning), a manufacturing execution system (MES) layer (for factory control), and a shop floor layer (for machine control). Future requirements on flexibility and adaptability require a much closer integration of ERP systems with the manufacturing floor. To achieve this integration, an MES often pushes customer orders to the manufacturing floor in a flexible manner. Moreover, a large amount of shop floor data needs to be filtered and fed into business planning applications such as production planning or supply chain management. Radio Frequency Identification (RFID) chips can play an important role in the collection and management of such data. Günther, Kletti, and Kubach explain the potential advantages of using RFID technology in a modern manufacturing and supply chain context. Areas of emphasis include integration of RFID data into legacy IT architectures, RFID-MES-ERP integration, and cost-benefit considerations. Their presentation is not restricted to intra-company production planning, but also emphasizes the benefits of inter-company collaboration. Six case studies based on SAP’s ERP systems and MPDV’s MES solution show how to successfully implement cross-company supply chain integration using RFID technology.
Oliver Günther Libri




Environmental information systems
- 244pagine
- 9 ore di lettura
Environmental information systems (EIS) are concerned with the management of data about the soil, the water, the air, and the species in the world around us. This first textbook on the topic gives a conceptual framework for EIS by structuring the data flow into 4 phases: data capture, storage, analysis, and metadata management. This flow corresponds to a complex aggregation process gradually transforming the incoming raw data into concise documents suitable for high-level decision support. All relevant concepts are covered, including statistical classification, data fusion, uncertainty management, knowledge based systems, GIS, spatial databases, multidimensional access methods, object-oriented databases, simulation models, and Internet-based information management. Several case studies present EIS in practice.