Rfid at the Metro GroupEssay Preview: Rfid at the Metro GroupReport this essayA simulation model to investigate the effects of sharing the tagging cost between retailer, distributor and manufacturer on the net present values (NPV) at the echelon level
Two simulation cases are used to examine the effects of a tagging cost sharing factor on the NPV of the RFID investmentan on-line neural network controller that optimises and minimises the total cost of a three-stage supply chainIt is found to have the best performance when it is working withThe on-line inventory feedback data can be obtained from item-level RFID data through simulation-based experimentsTo create smart objects in the context of manufacturing process control.Use Process Specification Language (PSL) to enable the semantic interoperability of manufacturing process descriptions between manufacturing, engineering, and business software applications, because the problem is mainly caused by a clash over the meaning of terms by different applications
RFIC Network Design Optimisation Models1. The Location Set Covering Problem Based Method (LSCP):employed when the budget can support full RFID reader coverage2. The Maximal Covering Location Problem Based Method (MCLP):employed when the number of RFID readers cannot be increasedThe above both models aim to provide possible decision guidance in the optimisation of RFID systemsRFID optimisation models for lifecycle of a durable productDecision problemIt concerns the allocation of component and product-related data to various RFID tags to be placed on different components and products.– A tag placement and data allocation model is used to solve this problem.Concerns the proper selection of RFID tags and their configuration for each component for given products.– A tag selection model is proposed to solve this problem.
RFIC Network Design Optimisation Models1. The Location Set Covering Problem Based Method (LSCP):employed when the budget can support full RFID reader coverage2. The Maximal Covering Location Problem Based Method (MCLP):employed when the number of RFID readers cannot be increasedThe above both models aim to provide possible decision guidance in the optimisation of RFID systemsRFID optimisation models for lifecycle of a durable productDecision problemIt concerns the allocation of component and product-related data to various RFID tags to be placed on different components and products.– A tag placement and data allocation model is used to solve this problem.
RFIC Network Design Optimisation Models1. The Location Set Covering Problem Based Method (LSCP):employed when the budget can support full RFID reader coverage2. The Maximal Covering Location Problem Based Method (MCLP):employed when the number of RFID readers cannot be increasedThe above both models aim to provide possible decision guidance in the optimisation of RFID systemsRFID optimisation models for lifecycle of a durable productDecision problemIt concerns the allocation of component and product-related data to various RFID tags to be placed on different components and products.– • A tag placement and data allocation model is proposed to solve this problem.– A tag placement and data allocation model is proposed to solve this problem.
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