A differential evolution algorithm for joint replenishment problem using direct grouping and its application

Expert Systems

Volumn 29, Issue 5, 2012, Pages 429-441

  Wang, Lin ^a   He, Jing ^a   Zeng, Yu Rong ^b  

^a HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^b HUBEI UNIVERSITY OF ECONOMICS   (China)

Author keywords

differential evolution; direct grouping; inventory control; joint replenishment problem

Indexed keywords

COMPUTATIONAL EXPERIMENT; DE ALGORITHMS; DIFFERENTIAL EVOLUTION; DIFFERENTIAL EVOLUTION ALGORITHMS; DIRECT GROUPING; HOLDING COSTS; JOINT REPLENISHMENT; JOINT REPLENISHMENT PROBLEM; ORDERING COST; REPLENISHMENT POLICY; ROBUST ALGORITHM; SPARE PARTS;

COSTS; GENETIC ALGORITHMS; INVENTORY CONTROL;

PROBLEM SOLVING;

EID: 84868551608     PISSN: 02664720     EISSN: 14680394     Source Type: Journal    
DOI: 10.1111/j.1468-0394.2011.00594.x     Document Type: Article

References (36)

1. Al-Anzi, F.S., and, A. Allahverd, (2007) A self-adaptive differential evolution heuristic for two-stage assembly scheduling problem to minimize maximum lateness with setup times, European Journal of Operational Research, 182, 80-94.
2. Alatas, B., E. Akin, and, A. Karci, (2008) MODENAR: multi-objective differential evolution algorithm for mining numeric association rules, Applied Soft Computing, 8, 646-656.
3. Ali, M.M., (2007) Differential evolution with preferential crossover, European Journal of Operational Research, 181, 1137-1147.
4. Amin, N., and, W. Hong, (2008) A simple self-adaptive differential evolution algorithm with application on the ALSTOM gasifier, Applied Soft Computing, 8, 350-370.
5. Bao, Y.K., W. Wang, and, H. Zou, (2005) SVR-based method forecasting intermittent demand for service parts inventories, Lecture Notes in Artificial Intelligence, 3642, 604-613.
6. Baskar, S., P. Subbaraj, and, M.V.C. Rao, (2003) Hybrid real coded genetic algorithm solution to economic dispatch problem, Computers and Electrical Engineering, 29, 407-419.
7. Basturk, A., and, E. Gunay, (2009) Efficient edge detection in digital images using a cellular neural network optimized by differential evolution algorithm, Expert Systems with Applications, 36, 2645-2650.
8. Bergey, P.K., and, C. Ragsdale, (2005) Modified differential evolution: a greedy random strategy for genetic recombination, Omega, 33, 255-265.
9. Chang, C.F., J.J. Wong, J.P. Chiou, and, C.T. Su, (2007) Robust searching hybrid differential evolution method for optimal reactive power planning in large-scale distribution systems, Electric Power Systems Research, 77, 430-437.
10. Coelho, L.S., and, V.C. Mariani, (2006) Combining of chaotic differential evolution and quadratic programming for economic dispatch optimization with valve-point effect, IEEE Transactions on Power System, 21, 989-996.
11. Hong, S.P., and, Y.H. Kim, (2009) A genetic algorithm for joint replenishment based on the exact inventory cost, Computers and Operations Research, 36, 167-175.
12. Huiskonen, J., (2001) Maintenance spare parts logistics: special characteristics and strategic choices, International Journal of Production Economics, 71, 125-133.
13. Jackowski, K., and, M. Wozniak, (2010) Method of classifier selection using the genetic approach, Expert Systems, 27, 114-128.
14. Jin, T.D., and, H.T. Liao, (2009) Spare parts inventory control considering stochastic growth of an installed base, Computers & Industrial Engineering, 56, 452-460.
15. Kaspi, M., and, M.J. Rosenblatt, (1991) On the economic ordering quantity for jointly replenishment items, International Journal of Production Research, 29, 107-114.
16. Kennedy, W.J., J.W. Patterson, and, L.D. Fredenhall, (2002) An overview of recent literature on spare parts inventories, International Journal of Production Economics, 76, 210-215.
17. Khouja, M., and, S. Goyal, (2008) A review of the joint replenishment problem literature: 1989-2005, European Journal of Operational Research, 186, 1-16.
18. Kuo, I.H., S.J. Horng, and, T.W. Kao, et al. (2010) A hybrid swarm intelligence algorithm for the traveling salesman problem, Expert Systems, 27, 166-179.
19. Lee, F.C., and, M.J. Yao, (2003) A global optimum search algorithm for the joint replenishment problem under power-of-two policy, Computers & Operations Research, 30, 1319-1333.
20. Moon, I.K., and, B.C. Cha, (2006) The joint replenishment problem with resource restriction, European Journal of Operational Research, 173, 190-198.
21. Nearchou, A.C., (2008) A differential evolution approach for the common due date early/tardy job scheduling problem, Computers & Operations Research, 35, 1329-1343.
22. Olsen, A.L., (2005) An evolutionary algorithm to solve the joint replenishment problem using direct grouping, Computers & Industrial Engineering, 48, 223-235.
23. Pan, Q.K., L. Wang, and, B. Qian, (2009) A novel differential evolution algorithm for bi-criteria no-wait flow shop scheduling problems, Computers & Operations Research, 36, 2498-2511.
24. Porras, E., and, R. Dekker, (2006) An efficient optimal solution method for the joint replenishment problem with minimum order quantities, European Journal of Operational Research, 174, 1595-1615.
25. Salman, A., A.P. Engelbrecht, and, M.G.H. Omran, (2007) Empirical analysis of self-adaptive differential evolution, European Journal of Operational Research, 183, 785-804.
26. Storn, R., and, K. Price, (1997) Differential Evolution: a simple and efficient heuristic for global optimization over continuous spaces, Journal of Global Optimization, 11, 341-359.
27. Van Eijs, M.J.G., R.M.J. Heuts, and, J.P.C. Kleijnen, (1992) Analysis and comparison of two strategies for multi-item inventory systems with joint replenishment costs, European Journal of Operational Research, 59, 405-412.
28. Wang, L., Y.R. Zeng, J.L. Zhang, W. Huang, and, Y.K. Bao, (2006) The criticality of spare parts evaluating model using an artificial neural network approach, Lecture Notes in Computer Science, 3991, 728-735.
29. Wu, D.S., and, D.L. Olson, (2008) Supply chain risk, simulation, and vendor selection, International Journal of Production Economics, 114, 646-655.
30. Wu, D.S., and, D.L. Olson, (2009a) Enterprise risk management: small business scorecard analysis, Production Planning & Control, 20, 362-269.
31. Wu, D.S., and, D.L. Olson, (2009b) Introduction to the special issue on "optimizing risk management: methods and tools ", Human and Ecological Risk Assessment, 15, 220-226.
32. Wu, D.S., and, D.L. Olson, (2010a) Enterprise risk management: a DEA VaR approach in vendor selection, International Journal of Production Research, 48, 4919-4932.
33. Wu, D.S., and, D.L. Olson, (2010b) Enterprise risk management: coping with model risk in a large bank, Journal of the Operational Research Society, 61, 179-190.
34. Wu, D.S., K.F. Xie, G. Chen, and, P. Gui, (2010) A risk analysis model in concurrent engineering product development, Risk Analysis, 30, 1440-1453.
35. Yeh, J.Y., and, T.H. Wu, (2010) Cascade of genetic algorithm and decision tree for cancer classification on gene expression data, Expert Systems, 27, 201-218.
36. Zhou, Y.P., and, X.S. Ku, (2007) Development of differential evolution algorithm, Control and Instruments in Chemical Industry, 34, 1-5.