Λεπτομέρειες βιβλιογραφικής εγγραφής
| Τίτλος: |
AN OPTIMIZATION FRAMEWORK FOR ADVANCED DISASSEMBLY/REPAIR-TOORDER SYSTEMS WITH REMAINING-LIFE ADJUSTMENT. |
| Συγγραφείς: |
Onder Ondemir1 ondemir.o@neu.edu, Surendra Gupta1 gupta@neu.edu |
| Πηγή: |
Proceedings for the Northeast Region Decision Sciences Institute (NEDSI). 2010, p421-426. 6p. 4 Charts. |
| Θεματικοί όροι: |
*Uncertainty (Information theory), Disassemblers (Computer programs), Structural optimization, Detectors, Heuristic algorithms |
| Περίληψη: |
Due to environmental awareness and realization of cost savings, disassembly-to-order (DTO) concept has become popular. One of the main obstacles to making optimal DTO decisions is the uncertainty involved in end-of-life products (EOLPs). This uncertainty is due to the lack of information about the condition and the quantity of EOLPs returned. This uncertainty is removed by advanced disassembly/repair-to-order systems utilizing sensors to monitor the products in their life-cycle. Sensor technology enables remaining life estimation, thus allows advanced DTO models to deal with sophisticated component and product demands with remaining life adjustment. This paper presents an optimization framework for advanced disassembly/repair-to-order (ADRTO) systems. The method is compared with a TABU search based heuristic algorithm. [ABSTRACT FROM AUTHOR] |
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| Βάση Δεδομένων: |
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