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The dynamic fleet management problem with uncertain demand and customer chosen service level

Shi, Ning; Song, Haiqing; Powell, Warren B. - In: International Journal of Production Economics 148 (2014) C, pp. 110-121

In this paper, we study a dynamic fleet management problem with uncertain demands and customer chosen service levels. We first show that the problem can be transformed into a dynamic network with partially dependent random arc capacities, and then develop a structural decomposition approach...

Persistent link: https://www.econbiz.de/10010729599

An arc-exchange decomposition method for multistage dynamic networks with random arc capacities

Song, Haiqing; Cheung, Raymond K.; Wang, Haiyan - In: European Journal of Operational Research 233 (2014) 3, pp. 474-487

Multistage dynamic networks with random arc capacities (MDNRAC) have been successfully used for modeling various …

Persistent link: https://www.econbiz.de/10010719578

Solving Stochastic Transportation Network Protection Problems Using the Progressive Hedging-based Method

Fan, Yueyue; Liu, Changzheng - In: Networks and Spatial Economics 10 (2010) 2, pp. 193-208

Persistent link: https://www.econbiz.de/10008596693

Hybrid robust and stochastic optimization for closed-loop supply chain network design using accelerated Benders decomposition

Keyvanshokooh, Esmaeil; Ryan, Sarah M.; Kabir, Elnaz - In: European journal of operational research : EJOR 249 (2016) 1, pp. 76-92

Persistent link: https://www.econbiz.de/10011434878

Decomposition algorithms for risk-averse multistage stochastic programs with application to water allocation under uncertainty

Zhang, Weini; Rahimian, Hamed; Bayraksan, Güzin - In: INFORMS journal on computing : JOC 28 (2016) 3, pp. 385-404

Persistent link: https://www.econbiz.de/10011538952

New bounding and decomposition approaches for MILP investment problems : multi-area transmission and generation planning under policy constraints

Munoz, F. D.; Hobbs, B. F.; Watson, J.-P. - In: European journal of operational research : EJOR 249 (2016) 3, pp. 888-898

Persistent link: https://www.econbiz.de/10011412467

A new cross decomposition method for stochastic mixed-integer linear programming

Ogbe, Emmanuel; Li, Xiang - In: European journal of operational research : EJOR 256 (2017) 2, pp. 487-499

Persistent link: https://www.econbiz.de/10011612031

Stage- and scenario-wise Fenchel decomposition for stochastic mixed 0-1 programs with special structure

Beier, Eric; Venkatachalam, Saravanan; Corolli, Luca; … - In: Computers & operations research : and their … 59 (2015), pp. 94-103

Persistent link: https://www.econbiz.de/10010515215

On the convergence of decomposition methods for multistage stochastic convex programs

Girardeau, P.; Leclere, V.; Philpott, A. B. - In: Mathematics of operations research 40 (2015) 1, pp. 130-145

Persistent link: https://www.econbiz.de/10010497627

Integration of progressive hedging and dual decomposition in stochastic integer programs

Guo, Ge; Hackebeil, Gabriel; Ryan, Sarah M.; Watson, … - In: Operations research letters 43 (2015) 3, pp. 311-316

Persistent link: https://www.econbiz.de/10011309532