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A dynamic programming solution to the dynamic, multi-item, single-machine scheduling problem
Gascon, André; Leachman, Robert C. - In: Operations research 36 (1988) 1, pp. 50-56
Persistent link: https://www.econbiz.de/10003556734
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A modular approach to optimal multipleshift manpower scheduling
Burns, R. N.; Koop, G. J. - In: Operations research 35 (1987) 1, pp. 100-110
Persistent link: https://www.econbiz.de/10003507725
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Technical note : a sampling-based approach to appointment scheduling
Begen, Mehmet A.; Levi, Retsef; Queyranne, Maurice - In: Operations research 60 (2012) 3, pp. 675-681
Persistent link: https://www.econbiz.de/10009575340
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A hybrid genetic algorithm for multidepot and periodic vehicle routing problems
Vidal, Thibaut; Crainic, Teodor Gabriel; Gendreau, Michel; … - In: Operations research 60 (2012) 3, pp. 611-624
Persistent link: https://www.econbiz.de/10009575354
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On the complexity of nonoverlapping multivariate marginal bounds for probabilistic combinatorial optimization problems
Doan, Xuan Vinh; Natarajan, Karthik - In: Operations research 60 (2012) 1, pp. 138-149
Persistent link: https://www.econbiz.de/10009532645
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An exact decomposition approach for the real-time train dispatching problem
Lamorgese, Leonardo; Mannino, Carlo - In: Operations research 63 (2015) 1, pp. 48-64
Persistent link: https://www.econbiz.de/10010519513
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A two-stage stochastic integer programming approach to integrated staffing and scheduling with application to nurse management
Kibaek, Kim; Sanjay, Mehrotra - In: Operations research 63 (2015) 6, pp. 1431-1451
Persistent link: https://www.econbiz.de/10011422582
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A probabilistic model for minmax regret in combinatorial optimization
Natarajan, Karthik; Shi, Dongjian; Toh, Kim-chuan - In: Operations research 62 (2014) 1, pp. 160-181
Persistent link: https://www.econbiz.de/10010338541
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Resource-constrained assignment scheduling
Mazzola, Joseth B.; Neebe, Alan W. - In: Operations research 34 (1986) 4, pp. 560-572
Persistent link: https://www.econbiz.de/10003628090
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Learning to approximate industrial problems by operations research classic problems
Parmentier, Axel - In: Operations research 70 (2022) 1, pp. 606-623
Persistent link: https://www.econbiz.de/10012820675