A multi-objective approach to simultaneous strategic and operational planning in supply chain design

By Ehap Sabri, Benita M. Beamon. 2000

618 citations recorded by the source corpus.

Subfields: Management Information Systems, Strategy and Management

View Paper: https://www.semanticscholar.org/paper/8b8832c73e10d729ec021908a0876e2cc51ed8e9

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Management Information Systems

1. Francisco Saldanha-da-Gama
2. Manuel Díaz-Madroñero
3. Eduardo Vicens
4. Stefan Nickel
5. Josefa Mula
6. Shih-Pin Chen
7. P. Chang
8. David Peidro

In Strategy and Management

1. Stefan Nickel
2. Francisco Saldanha-da-Gama
3. Manuel Díaz-Madroñero
4. Eduardo Vicens
5. Josefa Mula
6. Amin Chaabane
7. Turan Paksoy
8. David Peidro

Citations in the corpus

• Mathematical programming models for supply chain production and transport planning (2010, methodology): “Finally Sabri and Beamon (2000) establish maximization of flexibility as the complementary objective to minimization of costs.”
• Design of sustainable supply chains under the emission trading scheme (2012, background): “Flexibility, robustness, and responsiveness are some of the strategies that have been used to adapt to dynamic changes in the supply chain environment (Sabri and Beamon, 2000).”
• A mathematical programming approach to supply chain models with fuzzy parameters (2006, background): “A number of authors have proposed stochastic SCMs that are closer to real situations (e.g. Anupinide and Akella 1993, Lee and Billington 1993, Pyke and Cohen 1993, 1994, Wang and Gerchak 1996, Hening et al. 1997, Sabri and Beamon 2000, Vidal and Goetschalckx 2001).”
• A multi-stage stochastic supply network design problem with financial decisions and risk management (2012, neutral): “[13], Listes- and Dekker [24], Sabri and Beamon [35] and Santoso et al.”
• Facility location and supply chain management - A review (2009, background): “As pointed out by Sabri and Beamon [99], uncertainty is one of the most challenging but important problems in SCM.”
• A genetic algorithm approach for multi-objective optimization of supply chain networks (2006, background): “Sabri and Beamon (2000) developed an integrated multi-objective supply chain model for strategic and operational supply chain planning under uncertainties of product, delivery and demand.”