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Integer programming techniques for solving non-linear workforce planning models with learning
Hewitt, Mike; Chacosky, Austin; Grasman, Scott E.; … - In: European journal of operational research : EJOR 242 (2015) 3, pp. 942-950
Persistent link: https://www.econbiz.de/10010492357
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The technician routing problem with experience-based service times
Chen, Xi; Thomas, Barrett W.; Hewitt, Mike - In: Omega : the international journal of management science 61 (2016), pp. 49-61
Persistent link: https://www.econbiz.de/10011475684
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Balancing flexibility and inventory in workforce planning with learning
Valeva, Silviya; Hewitt, Mike; Thomas, Barrett W.; … - In: International journal of production economics 183 (2017), pp. 194-207
Persistent link: https://www.econbiz.de/10011641049
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A matheuristic for workforce planning with employee learning and stochastic demand
Valeva, Silviya; Hewitt, Mike; Thomas, Barrett W. - In: International journal of production research 55 (2017) 24, pp. 7380-7397
Persistent link: https://www.econbiz.de/10011798603
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Workforce grouping and assignment with learning-by-doing and knowledge transfer
Jin, Huan; Hewitt, Mike; Thomas, Barrett W. - In: International journal of production research 56 (2018) 14, pp. 4968-4982
Persistent link: https://www.econbiz.de/10011925163
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Multi-period technician scheduling with experience-based service times and stochastic customers
Chen, Xi; Thomas, Barrett W.; Hewitt, Mike - In: Computers & operations research : and their … 82 (2017), pp. 1-14
Persistent link: https://www.econbiz.de/10011674358
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Opportunities for reinforcement learning in stochastic dynamic vehicle routing
Hildebrandt, Florentin D.; Thomas, Barrett W.; Ulmer, … - In: Computers & operations research : and their … 150 (2023), pp. 1-14
Persistent link: https://www.econbiz.de/10013483616