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ArticleA bi-objective supply chain design problem with uncertainty

Yajaira Cardona-Valdés2010

Article2010

A bi-objective supply chain design problem with uncertainty

Yajaira Cardona-Valdés · Ada Álvarez · Deniz Özdemir

108 citations·0/0 files stored·Transportation Research Part C Emerging Technologies

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Facility Location and Emergency Management Supply Chain and Inventory Management Sustainable Supply Chain Management

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References

2011Introduction to Stochastic Programming 2000Supply Chain Management: Strategy, Planning and Operations 2003Supply Chain Management: Strategy, Planning, and Operation 1998Introduction to Stochastic Programming 2007Supply Chain Management. Strategy, Planning & Operation 2004A stochastic programming approach for supply chain network design under uncertainty 2006Facility location under uncertainty: a review 1973Business Logistics Management

Cited by

2015Investigating risk and robustness measures for supply chain network design under demand uncertainty: A case study of glass supply chain 2014Closed-loop supply chain network design under a fuzzy environment 2022Performance Measurement of the Sustainable Supply Chain During the COVID-19 Pandemic: A real-life case study 2023Designing a Tri-Objective, Sustainable, Closed-Loop, and Multi-Echelon Supply Chain During the COVID-19 and Lockdowns 2013Dynamic dairy facility location and supply chain planning under traffic congestion and demand uncertainty: A case study of Tehran

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Details

Year2010

Typearticle

Published2010-05-17

VenueTransportation Research Part C Emerging Technologies

ISSN-L0968-090X

Languageen

Citations108

Files0 public / 0

ShelfFacility Location and Emergency Management

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doi10.1016/j.trc.2010.04.003

openalex_workW2033101686

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2016A simulation-optimisation approach for supply chain network design under supply and demand uncertainties

2013Freight transportation function in supply chain optimization models: A critical review of recent trends

2014Metaheuristic procedure for a bi-objective supply chain design problem with uncertainty