Distributionally robust parallel machine ScheLoc problem under service level constraints

[1]  Horst W. Hamacher,et al.  Integrated Scheduling and Location Models: Single Machine Makespan Problems , 2002 .

[2]  Cerry M. Klein,et al.  Single machine stochastic scheduling to minimize the expected number of tardy jobs using mathematical programming models , 2005, Comput. Ind. Eng..

[3]  G. Calafiore,et al.  On Distributionally Robust Chance-Constrained Linear Programs , 2006 .

[4]  H. M. Soroush,et al.  Minimizing the weighted number of early and tardy jobs in a stochastic single machine scheduling problem , 2007, Eur. J. Oper. Res..

[5]  Michael R. Wagner Stochastic 0-1 linear programming under limited distributional information , 2008, Oper. Res. Lett..

[6]  Horst W. Hamacher,et al.  Simultaneous scheduling and location (ScheLoc): the planar ScheLoc makespan problem , 2009, J. Sched..

[7]  Zvi Drezner,et al.  Solving scheduling and location problems in the plane simultaneously , 2010, Comput. Oper. Res..

[8]  Christos Koulamas,et al.  The single-machine total tardiness scheduling problem: Review and extensions , 2010, Eur. J. Oper. Res..

[9]  Yinyu Ye,et al.  Distributionally Robust Optimization Under Moment Uncertainty with Application to Data-Driven Problems , 2010, Oper. Res..

[10]  Chih-ming Lee,et al.  The effect of advertising on the distribution-free newsboy problem , 2011 .

[11]  Tao Yao,et al.  Dynamic Traffic Assignment under Uncertainty: A Distributional Robust Chance-Constrained Approach , 2011 .

[12]  Rym M'Hallah,et al.  A two-stage stochastic programming model for the parallel machine scheduling problem with machine capacity , 2011, Comput. Oper. Res..

[13]  Abdelhakim Artiba,et al.  Stochastic single machine scheduling with random common due date , 2012 .

[14]  Timothy I. Matis,et al.  A flexible dispatching rule for minimizing tardiness in job shop scheduling , 2013 .

[15]  Premaratne Samaranayake,et al.  A fuzzy-based decision support model for monitoring on-time delivery performance: A textile industry case study , 2013, Eur. J. Oper. Res..

[16]  Nasser Salmasi,et al.  Stochastic flow-shop scheduling with minimizing the expected number of tardy jobs , 2013 .

[17]  ManWo Ng,et al.  Distribution-free vessel deployment for liner shipping , 2014, Eur. J. Oper. Res..

[18]  Cécile Murat,et al.  Recent advances in robust optimization: An overview , 2014, Eur. J. Oper. Res..

[19]  Wei He,et al.  Scheduling flexible job shop problem subject to machine breakdown with game theory , 2014 .

[20]  W. Y. Szeto,et al.  A Distributionally Robust Joint Chance Constrained Optimization Model for the Dynamic Network Design Problem under Demand Uncertainty , 2014, Networks and Spatial Economics.

[21]  Taesu Cheong,et al.  A minimax distribution-free procedure for a newsvendor problem with free shipping , 2014, Eur. J. Oper. Res..

[22]  ManWo Ng,et al.  Container vessel fleet deployment for liner shipping with stochastic dependencies in shipping demand , 2015 .

[23]  R. M’Hallah,et al.  A Benders decomposition approach to the weighted number of tardy jobs scheduling problem on unrelated parallel machines with production costs , 2015 .

[24]  C. Chow On-time performance, passenger expectations and satisfaction in the Chinese airline industry , 2015 .

[25]  Mohsen Ziaee,et al.  Integrated approach in solving parallel machine scheduling and location (ScheLoc) problem , 2016 .

[26]  Ruiwei Jiang,et al.  Data-driven chance constrained stochastic program , 2015, Mathematical Programming.

[27]  Stefan Nickel,et al.  Ambulance location under stochastic demand: A sampling approach , 2016 .

[28]  Zhenyou Wang,et al.  Solution algorithms for the number of tardy jobs minimisation scheduling with a time-dependent learning effect , 2017 .

[29]  Kaouthar Deghdak,et al.  Discrete parallel machine makespan ScheLoc problem , 2017, J. Comb. Optim..

[30]  M. Duran Toksarı,et al.  Multi-objective fuzzy parallel machine scheduling problems under fuzzy job deterioration and learning effects , 2018, Int. J. Prod. Res..

[31]  F. Chan,et al.  The link between Industry 4.0 and lean manufacturing: mapping current research and establishing a research agenda , 2018, Int. J. Prod. Res..

[32]  Li Da Xu,et al.  Industry 4.0: state of the art and future trends , 2018, Int. J. Prod. Res..

[33]  Siqian Shen,et al.  Solving 0–1 semidefinite programs for distributionally robust allocation of surgery blocks , 2018, Optim. Lett..

[34]  Feifeng Zheng,et al.  A new distribution-free model for disassembly line balancing problem with stochastic task processing times , 2018, Int. J. Prod. Res..

[35]  G. Tortorella,et al.  Implementation of Industry 4.0 and lean production in Brazilian manufacturing companies , 2018, Int. J. Prod. Res..

[36]  Mariano Frutos,et al.  Industry 4.0: Smart Scheduling , 2018, Int. J. Prod. Res..

[37]  Feng Chu,et al.  Scenario-based heuristic to two-stage stochastic program for the parallel machine ScheLoc problem , 2019 .

[38]  Feifeng Zheng,et al.  Service-oriented robust parallel machine scheduling , 2018, Int. J. Prod. Res..