The DOI matches its Crossref record; 35 of the 35 references it cites were found in a registry or an index.
A new multi-objective stochastic model for a forward/reverse logistic network design with responsiveness and quality level
Open accessOverview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Introduction to Stochastic Programming
Birge, J. R., & Louveaux, F. (2011) · Springer Series in Operations Research and Financial Engineering · doi:10.1007/978-1-4614-0237-4 · Cited by 6,469
Facility location and supply chain management – A review
Melo, M. T., Nickel, S., & Saldanha-da-Gama, F. (2009) · European Journal of Operational Research · doi:10.1016/j.ejor.2008.05.007 · Cited by 1,934
(1971) · IEEE Transactions on Systems, Man, and Cybernetics · doi:10.1109/tsmc.1971.4308298 · Cited by 1,315
Linear Programming under Uncertainty
Dantzig, G. B. (1955) · Management Science · doi:10.1287/mnsc.1.3-4.197 · Cited by 1,225
Linear Programming Under Uncertainty
Dantzig, G. B. (2004) · Management Science · doi:10.1287/mnsc.1040.0261 · Cited by 1,173
THE IMPACT OF PRODUCT RECOVERY ON LOGISTICS NETWORK DESIGN
FLEISCHMANN, M., BEULLENS, P., BLOEMHOF‐RUWAARD, J. M., & VANWASSENHOVE, L. N. (2001) · Production and Operations Management · doi:10.1111/j.1937-5956.2001.tb00076.x · Cited by 833
Multiple criteria facility location problems: A survey
Farahani, R. Z., SteadieSeifi, M., & Asgari, N. (2010) · Applied Mathematical Modelling · doi:10.1016/j.apm.2009.10.005 · Cited by 661
On Minimizing a Convex Function Subject to Linear Inequalities
Beale, E. M. L. (1955) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1955.tb00191.x · Cited by 625
A genetic algorithm approach for multi-objective optimization of supply chain networks
Altiparmak, F., Gen, M., Lin, L., & Paksoy, T. (2006) · Computers & Industrial Engineering · doi:10.1016/j.cie.2006.07.011 · Cited by 596
A multi-objective approach to simultaneous strategic and operational planning in supply chain design
Sabri, E. H., & Beamon, B. M. (2000) · Omega · doi:10.1016/s0305-0483(99)00080-8 · Cited by 592
Perspectives in reverse logistics: A review
Pokharel, S., & Mutha, A. (2009) · Resources Conservation and Recycling · doi:10.1016/j.resconrec.2008.11.006 · Cited by 522
A memetic algorithm for bi-objective integrated forward/reverse logistics network design
Pishvaee, M. S., Farahani, R. Z., & Dullaert, W. (2010) · Computers & Operations Research · doi:10.1016/j.cor.2009.09.018 · Cited by 453
A stochastic model for risk management in global supply chain networks
Goh, M., Lim, J. Y. S., & Meng, F. (2007) · European Journal of Operational Research · doi:10.1016/j.ejor.2006.08.028 · Cited by 423
Amiri, A. (2006) · European Journal of Operational Research · doi:10.1016/j.ejor.2004.09.018 · Cited by 415
Ko, H. J., & Evans, G. W. (2005) · Computers & Operations Research · doi:10.1016/j.cor.2005.03.004 · Cited by 410
Kannan, G., Sasikumar, P., & Devika, K. (2010) · Applied Mathematical Modelling · doi:10.1016/j.apm.2009.06.021 · Cited by 400
A stochastic approach to a case study for product recovery network design
Listeş, O., & Dekker, R. (2005) · European Journal of Operational Research · doi:10.1016/j.ejor.2001.12.001 · Cited by 354
Study on multi-stage logistic chain network: a spanning tree-based genetic algorithm approach
Syarif, A., Yun, Y., & Gen, M. (2002) · Computers & Industrial Engineering · doi:10.1016/s0360-8352(02)00076-1 · Cited by 310
Miranda, P. A., & Garrido, R. A. (2004) · Transportation Research Part E: Logistics and Transportation Review · doi:10.1016/j.tre.2003.08.006 · Cited by 300
Schultmann, F., Zumkeller, M. A., & Rentz, O. (2005) · European Journal of Operational Research · doi:10.1016/j.ejor.2005.01.016 · Cited by 299
A multi-objective stochastic programming approach for supply chain design considering risk
Azaron, A., Brown, K. N., Tarim, S. A., & Modarres, M. (2008) · International Journal of Production Economics · doi:10.1016/j.ijpe.2008.08.002 · Cited by 294
A genetic algorithm for two-stage transportation problem using priority-based encoding
Gen, M., Altiparmak, F., & Lin, L. (2006) · OR Spectrum · doi:10.1007/s00291-005-0029-9 · Cited by 286
A heuristic approach to logistics network design for end-of-lease computer products recovery
Lee, D.-H., & Dong, M. (2008) · Transportation Research Part E: Logistics and Transportation Review · doi:10.1016/j.tre.2006.11.003 · Cited by 280
Logistics Systems: Design and Optimization
Langevin, A., & Riopel, D. (2005) · Springer eBooks · doi:10.1007/b106452 · Cited by 274
Dynamic network design for reverse logistics operations under uncertainty
Lee, D.-H., & Dong, M. (2009) · Transportation Research Part E: Logistics and Transportation Review · doi:10.1016/j.tre.2008.08.002 · Cited by 274
Integrated supply chain design models: a survey and future research directions
max Shen, Z.-J., & D. O. I. E. &. O. R. (2007) · Journal of Industrial & Management Optimization · doi:10.3934/jimo.2007.3.1 · Cited by 274
Min, H., & Ko, H.-J. (2008) · International Journal of Production Economics · doi:10.1016/j.ijpe.2007.01.017 · Cited by 269
Facility Location in Supply Chain Design
Daskin, M. S., Snyder, L., & Berger, R. T. (2005) · Springer eBooks · doi:10.1007/0-387-24977-x_2 · Cited by 214
Hybrid genetic algorithm for multi-time period production/distribution planning
Gen, M., & Syarif, A. (2005) · Computers & Industrial Engineering · doi:10.1016/j.cie.2004.12.012 · Cited by 204
Reverse logistics network design using simulated annealing
Pishvaee, M. S., Kianfar, K., & Karimi, B. (2010) · The International Journal of Advanced Manufacturing Technology · doi:10.1007/s00170-009-2194-5 · Cited by 193
The spatial and temporal consolidation of returned products in a closed-loop supply chain network
Min, H., Ko, C. S., & Ko, H. J. (2006) · Computers & Industrial Engineering · doi:10.1016/j.cie.2006.02.010 · Cited by 161
Multi-objective stochastic supply chain modeling to evaluate tradeoffs between profit and quality
Franca, R. B., Jones, E. C., Richards, C. N., et al. (2009) · International Journal of Production Economics · doi:10.1016/j.ijpe.2009.09.005 · Cited by 152
A multi-criterion genetic algorithm for order distribution in a demand driven supply chain
Chan, F. T. S., & Chung, S. (2004) · International Journal of Computer Integrated Manufacturing · doi:10.1080/09511920310001617022 · Cited by 78
Consolidating a warehouse network:
Melachrinoudis, E., Messac, A., & Min, H. (2004) · International Journal of Production Economics · doi:10.1016/j.ijpe.2004.04.009 · Cited by 67
An Exploratory Analysis of Reverse Logistics in Flanders
Verstrepen, S., Cruijssen, F., Brito, M. D., & Dullaert, W. E. H. (2007) · European journal of transport and infrastructure research · doi:10.18757/ejtir.2007.7.4.3401 · Cited by 42
Cited by
Soleimani, H., & Kannan, G. (2015) · Applied Mathematical Modelling · doi:10.1016/j.apm.2014.12.016 · Cited by 288
Fuzzy multi-objective sustainable and green closed-loop supply chain network design
Soleimani, H., Govindan, K., Saghafi, H., & Jafari, H. (2017) · Computers & Industrial Engineering · doi:10.1016/j.cie.2017.04.038 · Cited by 285
Yan, W., Wang, X., Liu, Y., Zhang, X.-M., Jiang, Z.-G., & Huang, L. (2024) · Scientific Reports · doi:10.1038/s41598-024-51169-6 · Cited by 31
Metadata
- Authors
- Ramezani, M., Bashiri, M., & Tavakkoli-Moghaddam, R.
- Venue
- Applied Mathematical Modelling
- Publisher
- Elsevier BV
- Published
- 2013-01
- Volume
- 37
- Issue
- 1-2
- Pages
- 328-344
- ISSN
- 0307-904X (ISSN-L)
- OpenAlex
- W2064467249
- Cited by
- 340
- References
- 35
- FWCI
- 78.44
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
