The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.
A multi-objective stochastic programming approach for supply chain design considering risk
Open accessAbstract
In this paper, we develop a multi-objective stochastic programming approach for supply chain design under uncertainty. Demands, supplies, processing, transportation, shortage and capacity expansion costs are all considered as the uncertain parameters. To develop a robust model, two additional objective functions are added into the traditional comprehensive supply chain design problem. So, our multi-objective model includes (i) the minimization of the sum of current investment costs and the expected future processing, transportation, shortage and capacity expansion costs, (ii) the minimization of the variance of the total cost and (iii) the minimization of the financial risk or the probability of not meeting a certain budget. The ideas of unreliable suppliers and capacity expansion, after the realization of uncertain parameters, are also incorporated into the model. Finally, we use the goal attainment technique to obtain the Pareto-optimal solutions that can be used for decision-making.
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Citations
Cites
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Cited by
Supply chain risk management: a literature review
Ho, W., Zheng, T., Yildiz, H., & Talluri, S. (2015) · International Journal of Production Research · doi:10.1080/00207543.2015.1030467 · Cited by 1,363
The design of robust value-creating supply chain networks: A critical review
Klibi, W., Martel, A., & Guitouni, A. (2010) · European Journal of Operational Research · doi:10.1016/j.ejor.2009.06.011 · Cited by 870
Supply chain resilience: Conceptualization and scale development using dynamic capability theory
Chowdhury, M. M. H., & Quaddus, M. (2017) · International Journal of Production Economics · doi:10.1016/j.ijpe.2017.03.020 · Cited by 867
Supply chain risk management: a new methodology for a systematic literature review
Colicchia, C., & Strozzi, F. (2012) · Supply Chain Management: An International Journal · doi:10.1108/13598541211246558 · Cited by 750
Baghalian, A., Rezapour, S., & Farahani, R. Z. (2013) · European Journal of Operational Research · doi:10.1016/j.ejor.2012.12.017 · Cited by 434
Metadata
- Authors
- Azaron, A., Brown, K. N., Tarim, S. A., & Modarres, M.
- Venue
- International Journal of Production Economics
- Publisher
- Elsevier BV
- Published
- 2008-11
- Volume
- 116
- Issue
- 1
- Pages
- 129-138
- ISSN
- 0925-5273 (ISSN-L)
- OpenAlex
- W2097336488
- Cited by
- 294
- References
- 17
- FWCI
- 17.27
- Type
- journal article
- Language
- en
- Open access
- gold
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- Azaron, A., Brown, K. N., Tarim, S. A., & Modarres, M. (2008). A multi-objective stochastic programming approach for supply chain design considering risk. International Journal of Production Economics. https://doi.org/10.1016/j.ijpe.2008.08.002
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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