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Iterative prediction-and-optimization for e-logistics distribution network design
Liu, Junming; Chen, Weiwei; Yang, Jingyuan; Xiong, Hui; … - In: INFORMS journal on computing : JOC ; charting new … 34 (2022) 2, pp. 769-789
Persistent link: https://www.econbiz.de/10013361354
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Hybrid genetic algorithm for permutation flowshop scheduling problems with total flowtime minimization
Zhang, Yi; Li, Xiaoping; Wang, Qian - In: European journal of operational research : EJOR 196 (2009) 3, pp. 869-876
Persistent link: https://www.econbiz.de/10003824916
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Complete local search with limited memory algorithm for no-wait job shops to minimize makespan
Zhu, Jie; Li, Xiaoping; Wang, Qian - In: European journal of operational research : EJOR 198 (2009) 2, pp. 378-386
Persistent link: https://www.econbiz.de/10003852132
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A multiobjective single bus corridor scheduling using machine learning-based predictive models
Chen, Bing; Bai, Ruibin; Li, Jiawei; Liu, Yueni; Xue, Ning - In: International journal of production research 61 (2023) 1, pp. 131-145
Persistent link: https://www.econbiz.de/10013530869
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Green product design with engineering tradeoffs under technology efficient frontiers : analytical results and empirical tests
Chen, Chialin; Zhang, Jun - In: IEEE transactions on engineering management : EM 60 (2013) 2, pp. 340-352
Persistent link: https://www.econbiz.de/10009753776
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Resource allocation model and double-sphere crowding distance for evolutionary multi-objective optimization
Lei, Yu; Gong, Maoguo; Zhang, Jun; Li, Wei; Jiao, Li-cheng - In: European journal of operational research : EJOR 234 (2014) 1, pp. 197-208
Persistent link: https://www.econbiz.de/10010247334
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Designing a sustainable stochastic electricity generation network with hybrid production strategies
Gonela, Vinay; Salazar, Dalila; Zhang, Jun; Osmani, Atif; … - In: International journal of production research 57 (2019) 8, pp. 2304-2326
Persistent link: https://www.econbiz.de/10012183975
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Optimal decisions and comparison of VMI and CPFR under price-sensitive uncertain demand
Kazemi, Yasaman; Zhang, Jun - In: Journal of industrial engineering and management : JIEM 6 (2013) 2, pp. 547-567
Purpose: The purpose of this study is to compare the performance of two advanced supply chain coordination mechanisms, Vendor Managed Inventory (VMI) and Collaborative Planning Forecasting and Replenishment (CPFR), under a price-sensitive uncertain demand environment, and to make the optimal...
Persistent link: https://www.econbiz.de/10011901762