A Multi-period Bi-level Stochastic Programming with Decision Dependent Uncertainty in Supply Chains
作者： Yohanes Kristianto
DOI: 10.1007/978-3-319-09174-7_27
关键词: Modularity (networks) 、 Stochastic programming 、 Remanufacturing 、 Scheduling (production processes) 、 Product (mathematics) 、 Modular programming 、 Supply chain 、 Mathematical optimization 、 Markov decision process 、 Computer science
摘要: The closed loop supply chain faces some challenges related to the complexity of setting production capacity, maximizing product architecture modularity and operations scheduling when remanufacturing is included in networks. A multi-period bi-level stochastic programming framework used by design integrated with networks at upper level lower level. result show that tends postpone modularization until end life imminent. optimization proven be good approach get global optimum chain.
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