Filters








80,795 Hits in 5.1 sec

Editorial special issue on "Robust and stochastic optimization in production systems and supply chain management"

Laureano F. Escudero, Stefan Minner
2013 OR spectrum  
The design and operation of such systems have to incorporate uncertainty about the future. Adaptability and flexibility are desirable features of such systems, as are robust designs and plans.  ...  for optimization.  ...  Klibi and Martel, "The design of robust value-creating supply chain networks" present a supply chain design problem under uncertainty with a strategic and an operational stage including the option to make  ... 
doi:10.1007/s00291-013-0353-4 fatcat:nysx336raba2dfbo5mubzfjnjm

Improving the Decision-Making of Reverse Logistics Network Design Part II: An Improved Scenario-Based Solution Method and Numerical Experimentation [chapter]

Hao Yu, Wei Deng Solvang
2018 Lecture Notes in Electrical Engineering  
Part I presents the relevant literature and formulates a stochastic mixed integer linear programming (MILP) for improving the decision-making of the reverse logistics network design.  ...  However, reverse logistics network design is a complex decision-making problem that involves several interactive factors and faces many uncertainties.  ...  In the reverse logistics network design, both robustness and flexibility are focused in the decision-making, say, the long-time strategic decisions (locations of different facilities) should be robust  ... 
doi:10.1007/978-981-10-5768-7_45 fatcat:p3hgcgv4dfa27hzvi22vbiakwi

A Robust Stochastic Casualty Collection Points Location Problem

Morteza Alizadeh, Mehdi Amiri-Aref, Navonil Mustafee, Sumohon Matilal
2019 European Journal of Operational Research  
In this modelling approach, the network design decisions are integrated with the multi-period response operational decisions where the number of casualties with different levels of injuries coming from  ...  1 Highlights  Casualty Collection Points are critical for post-disaster response  Robust stochastic model is used for optimizing casualty collection point locations  Strategically located facilities  ...  for the humanitarian logistics network design problem.  ... 
doi:10.1016/j.ejor.2019.06.018 fatcat:u736rqa26vf7vdbevf5l7hf7uu

Recent advances in robust optimization: An overview

Virginie Gabrel, Cécile Murat, Aurélie Thiele
2014 European Journal of Operational Research  
Key developments in the period from 2007 to present include: (i) an extensive body of work on robust decision-making under uncertainty with uncertain distributions, i.e., "robustifying" stochastic optimization  ...  , (ii) a greater connection with decision sciences by linking uncertainty sets to risk theory, (iii) further results on nonlinear optimization and sequential decision-making and (iv) besides more work  ...  Acknowledgments The authors would like to thank the Associate Editor and three anonymous referees for their insightful comments and suggestions.  ... 
doi:10.1016/j.ejor.2013.09.036 fatcat:negoppbbu5hanjkdlccdwjb35a

Artificial Intelligence and Its Application in Optimization under Uncertainty [chapter]

Saeid Sadeghi, Maghsoud Amiri, Farzaneh Mansoori Mooseloo
2021 Artificial Intelligence  
In this context, the data-driven approach has gained prominence due to its provision of insights for decision-making and easy implementation.  ...  Then, a comprehensive review and classification of the relevant publications on the data-driven stochastic program, data-driven robust optimization, and data-driven chance-constrained are presented.  ...  [37] proposed a two-stage DRO model for better decision making in optimal design and shale gas supply chains under uncertainty.  ... 
doi:10.5772/intechopen.98628 fatcat:mtbuaqghgvha3fa64osyahca2q

Model-Based Decision Support in Manufacturing and Service Networks

Andreas Fink, Natalia Kliewer, Dirk Mattfeld, Lars Mönch, Franz Rothlauf, Guido Schryen, Leena Suhl, Stefan Voß
2014 Business & Information Systems Engineering  
in future research efforts for model-based decision support in manufacturing and service networks.  ...  BISE -RESEARCH NOTES Model-Based Decision Support in Manufacturing and Service Networks Considering integration issues taking into account the autonomy of the decision-making entities in face of information  ...  Acknowledgements The authors would like to thank Reha Uzsoy, North Carolina State University, for useful comments on this paper.  ... 
doi:10.1007/s12599-013-0310-4 fatcat:mqsqmtz5szdptjtc63sl3syxfa

An Effective Heuristic Algorithm for Robust Supply Chain Network Design under Uncertainty

Maozhu Jin, Ruimin Ma, Lifei Yao, Peiyu Ren
2014 Applied Mathematics & Information Sciences  
This paper addressing a study on robust supply chain network design under uncertainty environment.  ...  The second part is flow decision, all-or-nothing method is proposed to design the capacity of the facility.  ...  The SC networks design mainly includes three decision making: the site of the facility, the capacity of the facility, and the flow between the facility.  ... 
doi:10.12785/amis/080243 fatcat:hw4psq7k7zh5dgulvxevgbkmcm

Minimax Robust Decentralized Detection in Parallel Sensor Networks [article]

Gökhan Gül
2017 arXiv   pre-print
Minimax robust decentralized detection is studied for parallel sensor networks.  ...  It has been proven that, for some uncertainty classes, if all probability distributions are absolutely continuous with respect to a common measure, the joint stochastic boundedness property, which is the  ...  Every sensor in the sensor network is required to transmit stochastically ordered decisions to its neighboring sensors and must make sure that the average error probability is less than 1/2.  ... 
arXiv:1703.07670v1 fatcat:an77fwpnkfbchbghjabm5j3rxe

Robust Planning for High-Tech Supply Chain Networks under Uncertainty

Sungwon Yoo, Hyun Joon Shin
2015 Indian Journal of Science and Technology  
The decision making on production and distribution for high-tech companies is one of most important work in terms of right time and accuracy as well as total cost.  ...  This study proposes an efficient robust production and distribution planning methodology to cope with demand uncertainty inherent in supply chain networks of high-tech manufacturing.  ...  Conclusion This study aimed to solve a decision-making problem of a semiconductor manufacturing supply chain network by establishing a production and transportation strategy for MPPDS supply network with  ... 
doi:10.17485/ijst/2015/v8is1/60709 fatcat:ujkclq6d7zfvfi3z4hi3mdbx7q

Supply chain network design under uncertainty: A comprehensive review and future research directions

Kannan Govindan, Mohammad Fattahi, Esmaeil Keyvanshokooh
2017 European Journal of Operational Research  
Acknowledgment The authors would like to thank the editor and the anonymous reviewers for their invaluable comments which improved this paper significantly.  ...  Resilient SCND It is crucial to regard SC disruptions while designing a SC network since there are a few recourses for making strategic decisions when a disruption happens.  ...  The influences of disruptions on Table 3 Classification of SC and CLSC network design models based on the decision-making environment and features of forward logistics network.  ... 
doi:10.1016/j.ejor.2017.04.009 fatcat:p66d3t5p2najljqxzcxjp33tj4

A Novel Approach for Multi-Period Reverse Logistics Network Design under High Uncertainty

Gauuml;l T. Temur, Seda Yanaık
2017 International Journal of Computational Intelligence Systems  
solution to traditional approaches; (3) provide a robust solution which strengthens decision makers against unexpected situations.  ...  In this paper, a multi-period multi-echelon reverse logistics network design problem under high extent of uncertainty is addressed.  ...  The authors are thankful to ITU-BAP for this support.  ... 
doi:10.2991/ijcis.2017.10.1.77 fatcat:m4ipww6vizecjgbw2oespelckm

Optimization under Uncertainty in the Era of Big Data and Deep Learning: When Machine Learning Meets Mathematical Programming

Chao Ning, Fengqi You
2019 Computers and Chemical Engineering  
decision-making under uncertainty, and identifies potential research opportunities.  ...  A comprehensive review and classification of the relevant publications on data-driven distributionally robust optimization, data-driven chance constrained program, data-driven robust optimization, and  ...  For instance, stochastic programming was integrated with robust optimization for supply chain design and operation under multi-scale uncertainties [50] .  ... 
doi:10.1016/j.compchemeng.2019.03.034 fatcat:75rchq2egvdsfefuw6tvakodau

A p-Robust Green Supply Chain Network Design Model under Uncertain Carbon Price and Demand

Ruozhen Qiu, Shunpeng Shi, Yue Sun
2019 Sustainability  
for decision-makers with different risk preferences.  ...  A scenario tree method is applied to model the uncertainty, and a green supply chain network design model is developed under the p-robustness criterion.  ...  : The authors acknowledge support from the National Nature Science Foundation of China (No. 71772035), the Innovation Talent Funds of Liaoning Province (WR2017003), and the Fundamental Research Funds for  ... 
doi:10.3390/su11215928 fatcat:z7gv6dvt3jhevoocipq7gbrge4

The design of robust value-creating supply chain networks: A critical review

Walid Klibi, Alain Martel, Adel Guitouni
2010 European Journal of Operational Research  
This paper contributes to framing the foundations for a robust SCN design methodology.  ...  of these concepts for SCN design is discussed.  ...  Fostering Robustness in SCN Design Robustness The concept of robustness has raised a lot of discussion in the literature on decision-making under uncertainty.  ... 
doi:10.1016/j.ejor.2009.06.011 fatcat:rwnrbh6vxfawvglo5bwwtviunu

Stochastic and minimum regret formulations for transmission network expansion planning under uncertainties

E Bustamante-Cedeño, S Arora
2008 Journal of the Operational Research Society  
This is a trade-off decision implicitly included in the problem, which decision makers will have to make in striking a balance between model and solution robustness.  ...  Solution robustness requires the total cost for a common design to stay close to the optimal total cost for each one of the scenarios.  ... 
doi:10.1057/palgrave.jors.2602492 fatcat:peilfmo3mvhkxaws3ynnchpjwm
« Previous Showing results 1 — 15 out of 80,795 results