Search Results - "stochastic multi objective programming"

Model for Working Capital Management of Micro, Small and Medium Enterprises in Indonesia by Using Multiple Objective Stochastic Programming

Authors: Gultom, Parapat Widyasari, Rina Suyanto et al.

Source: Journal of Research in Mathematics Trends and Technology; Vol. 5 No. 2 (2023): Journal of Research in Mathematics Trends and Technology (JoRMTT); 1-11 ; 2656-1514

Subject Terms: MSME, working capital, stochastic multi objective programming

File Description: application/pdf

Relation: https://talenta.usu.ac.id/jormtt/article/view/15937/7226; https://talenta.usu.ac.id/jormtt/article/view/15937

Availability: https://talenta.usu.ac.id/jormtt/article/view/15937

Multi-Objective Optimization Model for the Energy System of Electric Arc Furnace Steelmaking Considering the Cost and Carbon Dioxide Emission under Uncertainty

Authors: In-Beum Lee MyungSuk Son Suh-Young Lee et al.

Source: JOURNAL OF CHEMICAL ENGINEERING OF JAPAN. 2020, 53(9):546

A new multi-objective stochastic model for a forward/reverse logistic network design with responsiveness and quality level

Authors: Reza Tavakkoli-Moghaddam Mahdi Bashiri Majid Ramezani

Source: Applied Mathematical Modelling. 37:328-344

Subject Terms: Modelling and Simulation, Applied Mathematics, Stochastic multi-objective programming, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, Reverse logistic, Responsiveness, Quality level, 02 engineering and technology, Supply chain management, 12. Responsible consumption

Access URL: https://www.sciencedirect.com/science/article/pii/S0307904X12001151
https://core.ac.uk/display/82327212

The Stochastic Goal Programming Model: Theory and Applications

Authors: B. Aouni F. Ben Abdelaziz D. La Torre et al.

Contributors: B. Aouni F. Ben Abdelaziz D. La Torre et al.

Source: Journal of Multi-Criteria Decision Analysis. 19:185-200

Subject Terms: deterministic equivalent formulations, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, stochastic goal programming, stochastic multi-objective programming, 02 engineering and technology, [SHS.GESTION.RECH-OP] Humanities and Social Sciences/Business administration/domain_shs.gestion.rech-op

Access URL: https://onlinelibrary.wiley.com/doi/10.1002/mcda.1466/full
https://air.unimi.it/handle/2434/204582
https://www.onlinelibrary.wiley.com/doi/abs/10.1002/mcda.1466
https://halshs.archives-ouvertes.fr/hal-00778729
http://onlinelibrary.wiley.com/doi/10.1002/mcda.1466/full
https://hdl.handle.net/2434/204582
https://doi.org/10.1002/mcda.1466

Comparison of methodologies for fuzzy and stochastic multi-objective programming

Authors: Marc Roubens Jacques Teghem

Source: Fuzzy Sets and Systems. 42:119-132

Subject Terms: Linear programming, Stochastic programming, stochastic multi-objective programming, Fuzzy and other nonstochastic uncertainty mathematical programming, fuzzy multi-objective programming, Multi-objective and goal programming

File Description: application/xml

Access URL: https://zbmath.org/14437
https://doi.org/10.1016/0165-0114(91)90093-6
https://www.sciencedirect.com/science/article/pii/0165011491900936

Stochastic goal programming model and satisfaction functions for media selection and planning problem

Authors: Aouni B. COLAPINTO, Cinzia La Torre D.

Source: International Journal of Multicriteria Decision Making. 2:391

Subject Terms: goal programming, media planning, media selection, preferences modelling, satisfaction function, stochastic multi-objective programming, Goal programming, Media planning, Media selection, Preferences modelling, Satisfaction function, Stochastic multi-objective programming, 0211 other engineering and technologies, 02 engineering and technology

File Description: application/pdf

Access URL: https://ideas.repec.org/a/ids/ijmcdm/v2y2012i4p391-407.html
https://iris.unive.it/handle/10278/22940
https://www.inderscienceonline.com/doi/full/10.1504/IJMCDM.2012.050678
https://air.unimi.it/handle/2434/180069?mode=full.509
http://www.inderscience.com/link.php?id=50678
https://econpapers.repec.org/RePEc:ids:ijmcdm:v:2:y:2012:i:4:p:391-407
https://hdl.handle.net/2434/180069
https://doi.org/10.1504/IJMCDM.2012.050678

Controlling Ozone and Fine Particulates: Cost Benefit Analysis with Meteorological Variability

Authors: Shih, Jhih-Shyang Bergin, Michelle S. Krupnick, Alan J. et al.

Source: Research Papers in Economics.

Subject Terms: particulate matter, public policy, cost-benefit analysis, stochastic multi-objective programming, decision-making, jel:Q2, National Ambient Air Quality Standards, 01 natural sciences, risk management, stochastic simulation, variability and uncertainty, ozone, 13. Climate action, 11. Sustainability, ambient air, jel:Q25, Environmental Economics and Policy, jel:C6, ambient air, ozone, particulate matter, risk management, public policy, cost-benefit analysis, variability and uncertainty, stochastic simulation, stochastic multi-objective programming, decisionmaking, National Ambient Air Quality Standards, jel:Q28, 0105 earth and related environmental sciences

Access URL: https://ideas.repec.org/p/rff/dpaper/dp-03-55.html
https://ageconsearch.umn.edu/record/10735/
https://econpapers.repec.org/paper/rffdpaper/dp-03-55.htm
https://ageconsearch.umn.edu/record/10735/files/dp030055.pdf
http://www.rff.org/RFF/documents/RFF-DP-03-55.pdf