Issues in environmentally conscious manufacturing and product recovery: a survey
Computers and Industrial Engineering - Special issue on o/perational issues in environmentally conscious manufacturing
Quality Engineering Using Robust Design
Quality Engineering Using Robust Design
Determining optimum disassembly sequences in electronic equipment
Computers and Industrial Engineering
Internet server controller based intelligent maintenance system for information appliance products
International Journal of Knowledge-based and Intelligent Engineering Systems - Integrated and hybrid intelligent systems in product design and development
Research issues on closed-loop PLM
Computers in Industry
Performance analysis of a hybrid system under quality impact of returns
Computers and Industrial Engineering
Strategic network design for reverse logistics and remanufacturing using new and old product modules
Computers and Industrial Engineering
A practical methodology for realizing product service systems for consumer products
Computers and Industrial Engineering
A performance evaluation of disassembly systems with reverse blocking
Computers and Industrial Engineering
Computers and Industrial Engineering
Buffer allocation plan for a remanufacturing cell
Computers and Industrial Engineering - Special issue: Group technology/cellular manufacturing
Evaluation of connection types in design for disassembly (DFD) using analytic network process
Computers and Industrial Engineering
MASSIHN: a multi-agent architecture for intelligent home network service
IEEE Transactions on Consumer Electronics
Maintenance and monitoring object models for high-availability network appliances
IEEE Transactions on Consumer Electronics
On the quality variation impact of returns in remanufacturing
Computers and Industrial Engineering
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Sensors embedded into products during the production process are important data acquisition tools for after-sale products' condition monitoring. By facilitating data collection from critical components in a product, these sensors help companies predict components and/or products failures during product usage. They are also very useful at the end-of-life (EOL) of products. Using sensor information, the conditions, types and remaining lives of components in an EOL product can be determined prior to actual disassembly. In this study, we assess the use of sensors in determining the steps in EOL processing of products. In particular, we evaluate the impact of sensor embedded products (SEPs) on various performance measures of an appliance disassembly line controlled by a multi-kanban system. First, separate design of experiments studies based on orthogonal arrays are carried out for conventional products (CPs) and SEPs. In order to calculate the response values for each experiment, detailed discrete event simulation models of both cases are developed considering the precedence relationships among the components together with the routing of different appliance types through the disassembly line. Then, pair-wise t-tests are conducted to compare the two cases based on different performance measures. The test results show the superiority of SEPs over CPs with respect to all costs (viz., disassembly, disposal, testing, backorder, transportation, holding) as well as revenue and profit.