Abstract
Motivated by the complex production management with difficulties in error-prone assembly system and inaccurate supply chain inventory, this paper designs a novel manufacturing execution system (MES) architecture for intelligent monitoring based on wireless sensor network (WSN). The technical perspective includes analysis on the proposed manufacturing resource mutual inductance method under active sensing network, appreciation technology of multisource information, and dynamic optimization technology for manufacturing execution processes. From business perspective, this paper elaborates the impact of RFID investment on complex product by establishing a three-stage supply chain model that involves two suppliers carrying out Stackelberg games (manufacturer and retailer). The optimal cost threshold values of technology investment are examined for both the centralized and the decentralized scenarios utilizing quantitative modeling methods. By analyzing and comparing the optimal profit with or without investment on WSN, this paper establishes a supply chain coordination and boosting model. The results of this paper have contributed significantly for one to make decision on whether RFID should be adopted among its members in supply chain. The system performance and model extension are verified via numerical analyses.
Highlights
With intensifying competition in the global market, higher requirements are put forward for manufacturing enterprises in terms of improving product quality and production efficiency, reducing production costs, reducing resource consumption, and so forth
RFID technology could simultaneously acquire multiple tags signal and trace individual moving trajectory of manufacturing objects without human interactions. Such manufacturing execution system equipped with information sensing technology, as the driving force, could promote vigorously manufacturing system to be developed in global, information, intelligent, and green direction
Their research focused on the enterprises relation and divided it into three layers: the first layer is the primary level realized by ERP or E-mail and internet; the second layer is the data integration in the supply chain management tool, which integrates the latest demand information and supplier information; and the third level combines with the multiechelon suppliers by cooperation plan and prediction
Summary
With intensifying competition in the global market, higher requirements are put forward for manufacturing enterprises in terms of improving product quality and production efficiency, reducing production costs, reducing resource consumption, and so forth. Studies on key technologies such as integrable MES, reconfigurable MES, and real-time MES based on automatic identification technologies, and their applications in aerospace, automobile, iron, and steel, petrochemical industries, and so forth, provide technical support for monitoring and optimization of production sites and generate great application effects and economic benefits. Mathematical Problems in Engineering issuance of daily workshop plans, upper management is difficult to achieve effective control and dynamic coordination and optimization of manufacturing execution process and lacks overall analysis, reasonable and efficient dynamic optimization strategies, and methods of production process due to the lack of item level production scheduling prediction and timely feedback of manufacturing information. RFID technology could simultaneously acquire multiple tags signal and trace individual moving trajectory of manufacturing objects without human interactions Such manufacturing execution system equipped with information sensing technology, as the driving force, could promote vigorously manufacturing system to be developed in global, information, intelligent, and green direction.
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