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Remanufacturing has received increasing attention in the recent past as more companies engage in product recovery management.
Ian M. Langella examines the planning of disassembly for remanufacturing of used products, yielding components which are reassembled into "as good as new" items. Through a thorough analysis of the underlying planning problem, fundamental insights are attained and heuristic solution methods are developed and tested. Although the heuristics exhibit good performance, they remain simple enough to be applied to industrial-sized problems. The author considers both settings where yields are deterministic and stochastic and where the amount of returned products is constrained.
Table des matières
Aus dem Inhalt:
- Planning disassembly with deterministic yields: single period problem without and with constrained returns, multiple period setting without and with constrained returns
- Planning disassembly with stochastic yields: preliminaries, single period, multiple period
A propos de l'auteur
Dr. Ian M. Langella ist wissenschaftlicher Mitarbeiter von Prof. Dr. Karl Inderfurth am Lehrstuhl für Betriebswirtschaftslehre VI, Produktion und Logistik, an der Universität Magdeburg.
Résumé
Remanufacturing has received increasing attention in the recent past as more companies engage in product recovery management.
Ian M. Langella examines the planning of disassembly for remanufacturing of used products, yielding components which are reassembled into “as good as new” items. Through a thorough analysis of the underlying planning problem, fundamental insights are attained and heuristic solution methods are developed and tested. Although the heuristics exhibit good performance, they remain simple enough to be applied to industrial-sized problems. The author considers both settings where yields are deterministic and stochastic and where the amount of returned products is constrained.
