Porras & Dekker (2006)Porras, E., & Dekker, R. (2006). An efficient optimal solution method for the joint replenishment problem with minimum order quantities. European Journal of Operational Research, 174(3), 1595-1615. http://dx.doi.org/10.1016/j.ejor.2005.02.056. http://dx.doi.org/10.1016/j.ejor.2005.02...
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Global Optimization Algorithms(e) |
Levi et al. (2006)Levi, R., Roundy, R. O., & Shmoys, D. B. (2006). Primal-dual algorithms for deterministic inventory problems. Mathematics of Operations Research, 31(2), 267-284. http://dx.doi.org/10.1287/moor.1050.0178. http://dx.doi.org/10.1287/moor.1050.0178...
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Mixed Integer Programming(e) |
Nilsson et al. (2007)Nilsson, A., Segerstedt, A., & Sluis, E. V. D. S. (2007). A new iterative heuristic to solve the joint replenishment problem using a spreadsheet technique. International Journal of Production Economics, 108(1-2), 399-405. http://dx.doi.org/10.1016/j.ijpe.2006.12.022. http://dx.doi.org/10.1016/j.ijpe.2006.12...
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Heuristics(a) |
Ho (2013)Ho, W.-T. (2013). Determining the optimum ordering policy in multi-item joint replenishment problem using a novel method. Mathematical Problems in Engineering, 2013, 1-9. http://dx.doi.org/10.1155/2013/469794. http://dx.doi.org/10.1155/2013/469794...
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Heuristics(e) |
Moon & Cha (2006)Moon, I. K., & Cha, B. C. (2006). The joint replenishment problem with resource restriction. European Journal of Operational Research, 173(1), 190-198. http://dx.doi.org/10.1016/j.ejor.2004.11.020. http://dx.doi.org/10.1016/j.ejor.2004.11...
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Genetic Algorithm and RAND with Lagrange Multipliers(a) |
Yoo & Gen (2007)Yoo, M., & Gen, M. (2007). Joint replenishment problem with multisupplier using hybrid genetic algorithm. Journal of Japan Industrial Management Association, 57(1), 497-502.
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Genetic Algorithm and Simulated Annealing(a) |
Liang et al. (2009)Liang, Z., Zhao, F., & Cao, M. (2009). Algorithm of deterministic joint replenishment problem (pp. 2835-2843). Reston: ASCE. http://dx.doi.org/10.1061/40996(330)419. http://dx.doi.org/10.1061/40996(330)419...
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Simulated Annealing and Lagrange Relaxation(a) |
Wang & Cheng (2008)Wang, Y.-C., & Cheng, W.-T. (2008). A sensitivity analysis of solving joint replenishment problems using the RAND method under inaccurate holding cost estimates and demand forecasts. Computers & Industrial Engineering, 55(1), 243-252. http://dx.doi.org/10.1016/j.cie.2007.12.010. http://dx.doi.org/10.1016/j.cie.2007.12....
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RAND(e) |
Porras & Dekker (2008)Porras, E., & Dekker, R. (2008). A solution method for the joint replenishment problem with correction factor. International Journal of Production Economics, 113(2), 834-851. http://dx.doi.org/10.1016/j.ijpe.2007.11.008. http://dx.doi.org/10.1016/j.ijpe.2007.11...
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Enumerative Algorithm(a) |
Taleizadeh et al. (2008)Taleizadeh, A. A., Moghadasi, H., Niaki, S. T. A., & Eftekhari, A. (2008). An economic order quantity under joint replenishment policy to supply expensive imported raw materials with payment in advance. Journal of Applied Sciences, 23(8), 4263-4273. http://dx.doi.org/10.3923/jas.2008.4263.4273. http://dx.doi.org/10.3923/jas.2008.4263....
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Harmony Search Algorithm(a) |
Olsen (2008)Olsen, A. L. (2008). Inventory replenishment with interdependent ordering costs: an evolutionary algorithm solution. International Journal of Production Economics, 113(1), 359-369. http://dx.doi.org/10.1016/j.ijpe.2007.09.004. http://dx.doi.org/10.1016/j.ijpe.2007.09...
1, Li et al. (2015)Li, C., Gao, J., Zhang, T., & Wang, X. (2015). Differential evolution algorithm for constraint joint replenishment problem with indirect grouping strategy. International Journal of Hybrid Information Technology, 8(5), 259-266. http://dx.doi.org/10.14257/ijhit.2015.8.5.28. http://dx.doi.org/10.14257/ijhit.2015.8....
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Evolutionary Algorithm(a) |
Hong & Kim (2009)Hong, S. P., & Kim, Y.-H. (2009). A genetic algorithm for joint replenishment based on the exact inventory cost. Computers & Operations Research, 36(1), 167-175. http://dx.doi.org/10.1016/j.cor.2007.08.006. http://dx.doi.org/10.1016/j.cor.2007.08....
1, Taleizadeh et al. (2013)Taleizadeh, A. A., Wee, H.-M., & Jolai, F. (2013). Revisiting a Fuzzy rough economic order quantity model for deteriorating items considering quantity discount and prepayment. Mathematical and Computer Modelling, 57(5-6), 1466-1479. http://dx.doi.org/10.1016/j.mcm.2012.12.008. http://dx.doi.org/10.1016/j.mcm.2012.12....
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Genetic Algorithm(a) |
Hsiau & Lin (2009)Hsiau, H.-J., & Lin, C.-W. R. (2009). An optimal supply policy for multi-product multi-retailer using simulated annealing method. International Journal of Business and Management, 4(12), 91-98. http://dx.doi.org/10.5539/ijbm.v4n12p91. http://dx.doi.org/10.5539/ijbm.v4n12p91...
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Simulated Annealing(a) |
Taleizadeh et al. (2009)Taleizadeh, A. A., Nikpour, S., & Zarei, M. (2009). Constraint joint-replenishment inventory control problem with fuzzy rough demand. Journal of Applied Sciences, 9(4), 627-638. http://dx.doi.org/10.3923/jas.2009.627.638. http://dx.doi.org/10.3923/jas.2009.627.6...
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Meta-heuristic and Fuzzy Rough Algorithm(a) |
Taleizadeh et al. (2011)Taleizadeh, A. A., Niaki, S. T. A., & Nikousokhan, R. (2011). Constraint multiproduct joint-replenishment inventory control problem using uncertain programming. Applied Soft Computing, 11(8), 5143-5154. http://dx.doi.org/10.1016/j.asoc.2011.05.045. http://dx.doi.org/10.1016/j.asoc.2011.05...
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Harmony Search, Rough Simulation and Fuzzy Simulation Algorithms (Hybrid)(a) |
Wang et al. (2012b)Wang, L., He, J., & Zeng, Y.-R. (2012b). A differential evolution algorithm for joint replenishment problem using direct grouping and its application. Expert Systems: International Journal of Knowledge Engineering and Neural Networks, 29(5), 429-441. http://dx.doi.org/10.1111/j.1468-0394.2011.00594.x. http://dx.doi.org/10.1111/j.1468-0394.20...
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DEA(a) |
Moon et al. (2011)Moon, I. K., Cha, B. C., & Lee, C. U. (2011). The joint replenishment and freight consolidation of a warehouse in a supply chain. International Journal of Production Economics, 133(1), 344-350. http://dx.doi.org/10.1016/j.ijpe.2009.10.030. http://dx.doi.org/10.1016/j.ijpe.2009.10...
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RAND with Heuristics(a) |
Kang et al (2013)Kang, H.-Y., Lee, A. H. I., & Lee, C.-H. (2013). A joint replenishment model under transportation batch and quantity discounts. New York: Global Business and Technology Association.
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Mixed Integer Programming and Particle Swarm Optimization (Hybrid)(e)(a) |
Durán & Pozo (2013)Durán, O., & Pozo, L. P. (2013). Solution of the spare parts joint replenishment problem with quantity discounts using a discrete particle swarm optimization technique. Studies in Informatics and Control, 22(4), 319-328.
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Particle Swarm Optimization and Genetic Algorithm(a) |
Yousefi & Sadjadi (2014)Yousefi, O., & Sadjadi, S. J. (2014). Solving a new bi-objective joint replenishment inventory model with modified RAND and genetic algorithms. Turkish Journal of Electrical Engineering & Computer Sciences, 22, 1338-1353. http://dx.doi.org/10.3906/elk-1205-22. http://dx.doi.org/10.3906/elk-1205-22...
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RAND and Genetic Algorithm (Hybrid)(a) |
Wee et al. (2009)Wee, H.-M., Lo, C.-C., & Hsu, P.-H. (2009). A multi-objective joint replenishment inventory model of deteriorated items in a Fuzzy environment. European Journal of Operational Research, 197(2), 620-631. http://dx.doi.org/10.1016/j.ejor.2006.08.067. http://dx.doi.org/10.1016/j.ejor.2006.08...
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Fuzzy Model & Multi-Objective(a) |