594
Views
3
CrossRef citations to date
0
Altmetric
Research Article

An evolutionary approach for the offsetting inventory cycle problem

ORCID Icon, , & | (Reviewing Editor)
Article: 1370764 | Received 01 Jun 2017, Accepted 11 Aug 2017, Published online: 05 Sep 2017

References

  • Aksoy, Y., & Selcuk Erenguc, S. (1988). Multi‐item inventory models with co‐ordinated replenishments: A survey. International Journal of Operations & Production Management, 8, 63–73.10.1108/eb054814
  • Amaya, C. A., Carvajal, J., & Castaño, F. (2013). A heuristic framework based on linear programming to solve the constrained joint replenishment problem (C-JRP). International Journal of Production Economics, 144, 243–247.10.1016/j.ijpe.2013.02.008
  • Arkin, E., Joneja, D., & Roundy, R. (1989). Computational complexity of uncapacitated multi-echelon production planning problems. Operations Research Letters, 8, 61–66.10.1016/0167-6377(89)90001-1
  • Aytug, H., Khouja, M., & Vergara, F. E. (2003). Use of genetic algorithms to solve production and operations management problems: A review. International Journal of Production Research, 41, 3955–4009.10.1080/00207540310001626319
  • Barr, R. S., Golden, B. L., Kelly, J. P., Resende, M. G., & Stewart, W. R., Jr. (1995). Designing and reporting on computational experiments with heuristic methods. Journal of Heuristics, 1, 9–32.10.1007/BF02430363
  • Blickle, T., & Thiele, L. (1995). A comparison of selection schemes used in genetic algorithms. Technical Report 11, Computer Engineering and Communication Networks Lab (TIK), Swiss Federal Institute of Technology (ETH) Zurich, Gloriastrasse 35, CH-8092 Zurich.
  • Boctor, F. F. (2010). Offsetting inventory replenishment cycles to minimize storage space. European Journal of Operational Research, 203, 321–325.10.1016/j.ejor.2009.07.035
  • Boctor, F. F., & Bolduc, M. C. (2012). The inventory replenishment planning and staggering problem revisited. Montreal: CIRRELT.
  • Boctor, F. F., & Bolduc, M. C. (2015). Inventory replenishment planning and staggering. IFAC-PapersOnLine, 48, 1416–1421.10.1016/j.ifacol.2015.06.285
  • Cha, B. C., Moon, I. K., & Park, J. H. (2008). The joint replenishment and delivery scheduling of the one-warehouse, n-retailer system. Transportation Research Part E: Logistics and Transportation Review, 44, 720–730.10.1016/j.tre.2007.05.010
  • Chiu, C. Y., Lin, Y., Sheu, D. F., & Ho, W. T. (2014). Common replenishment cycle with mixed batch shipment policy for a single-vendor multi-buyer integrated system. European Journal of Industrial Engineering, 8, 168–192.10.1504/EJIE.2014.060435
  • Croot, E., & Huang, K. (2013). A class of random algorithms for inventory cycle offsetting. International Journal of Operational Research, 18, 201–217.10.1504/IJOR.2013.056115
  • Deb, K. (2000). An efficient constraint handling method for genetic algorithms. Computer Methods in Applied Mechanics and Engineering, 186, 311–338.10.1016/S0045-7825(99)00389-8
  • Deep, K., Singh, K. P., Kansal, M. L., & Mohan, C. (2009). A real coded genetic algorithm for solving integer and mixed integer optimization problems. Applied Mathematics and Computation, 212, 505–518.10.1016/j.amc.2009.02.044
  • Deep, K., & Thakur, M. (2007a). A new crossover operator for real coded genetic algorithms. Applied Mathematics and Computation, 188, 895–911.10.1016/j.amc.2006.10.047
  • Deep, K., & Thakur, M. (2007b). A new mutation operator for real coded genetic algorithms. Applied Mathematics and Computation, 193, 211–230.10.1016/j.amc.2007.03.046
  • Dowsland, K. A. (1996). Genetic algorithms-a tool for OR? Journal of the Operational Research Society, 47, 550–561.10.1057/jors.1996.60
  • Franciosi, C., Miranda, S., Iannone, R., & Lambiase, A. (2015, September 21–23). A heuristics with simulative approach for the determination of the optimal offsetting replenishment cycles to reduce the warehouse space. In The 14th International Conference on Modeling and Applied Simulation, MAS 2015 (pp. 17–25), Bergeggi.
  • Gallego, G., Shaw, D., & Simchi-Levi, D. (1992). The complexity of the staggering problem, and other classical inventory problems. Operations Research Letters, 12, 47–52.10.1016/0167-6377(92)90021-T
  • Goldberg, D. E., & Deb, K. (1991). A comparative analysis of selection schemes used in genetic algorithms. Foundations of genetic algorithms, 1, 69–93.
  • Goyal, S. K. (1973). Determination of economic packaging frequency for items jointly replenished. Management Science, 20, 232–235.10.1287/mnsc.20.2.232
  • Goyal, S. K., & Satir, A. T. (1989). Joint replenishment inventory control: Deterministic and stochastic models. European Journal of Operational Research, 38, 2–13.10.1016/0377-2217(89)90463-3
  • Hadley, G., & Whitin, T. M. (1963). Analysis of inventory systems. Englewood Cliffs, NJ: Prentice Hall.
  • Haji, R., & Mansuri, M. (1995). Optimum common cycle for scheduling a single-machine multiproduct system with a budgetary constraint. Production Planning & Control, 6, 151–156.10.1080/09537289508930264
  • Haksever, C., & Moussourakis, J. (2005). A model for optimizing multi-product inventory systems with multiple constraints. International Journal of Production Economics, 97, 18–30.10.1016/j.ijpe.2004.05.004
  • Hall, N. G. (1998). A comparison of inventory replenishment heuristics for minimizing maximum storage. American Journal of Mathematical and Management Sciences, 18, 245–258.10.1080/01966324.1998.10737465
  • Holland, J. H. (1975). Adaption in natural and artificial systems. Ann Arbor, MI: The University of Michigan Press.
  • Hoque, M. A. (2006). An optimal solution technique for the joint replenishment problem with storage and transport capacities and budget constraints. European Journal of Operational Research, 175, 1033–1042.10.1016/j.ejor.2005.06.022
  • Hua, Z., & Huang, F. (2006). An effective genetic algorithm approach to large scale mixed integer programming problems. Applied Mathematics and Computation, 174, 897–909.10.1016/j.amc.2005.05.017
  • Johnson, L. A., & Montgomery, D. C. (1974). Operations research in production planning, scheduling, and inventory control (Vol. 6). New York, NY: Wiley.
  • Kaspi, M., & Rosenblatt, M. J. (1983). An improvement of Silver’s algorithm for the joint replenishment problem. AIIE Transactions, 15, 264–267.
  • Kaspi, M., & Rosenblatt, M. J. (1991). On the economic ordering quantity for jointly replenished items. International Journal of Production Research, 29, 107–114.10.1080/00207549108930051
  • Khouja, M., & Goyal, S. (2008). A review of the joint replenishment problem literature: 1989–2005. European Journal of Operational Research, 186(1), 1–16.10.1016/j.ejor.2007.03.007
  • Khouja, M., Michalewicz, Z., & Satoskar, S. S. (2000). A comparison between genetic algorithms and the RAND method for solving the joint replenishment problem. Production Planning & Control, 11, 556–564.10.1080/095372800414115
  • Lee, F. C., & Yao, M. J. (2003). A global optimum search algorithm for the joint replenishment problem under power-of-two policy. Computers & Operations Research, 30, 1319–1333.10.1016/S0305-0548(02)00073-4
  • Li, Y. X., & Gen, M. (1996). Nonlinear mixed integer programming problems using genetic algorithm and penalty function. IEEE International Conference on Systems, Man, and Cybernetics, 4, 2677–2682.
  • Maiti, A. K., Bhunia, A. K., & Maiti, M. (2006). An application of real-coded genetic algorithm (RCGA) for mixed integer non-linear programming in two-storage multi-item inventory model with discount policy. Applied Mathematics and Computation, 183, 903–915.10.1016/j.amc.2006.05.141
  • Miller, B. L., & Goldberg, D. E. (1995). Genetic algorithms, tournament selection, and the effects of noise. Complex Systems, 9, 193–212.
  • Miranda, S., Fera, M., Iannone, R., & Riemma, S. (2015). A multi-item constrained EOQ calculation algorithm with exit condition: A comparative analysis. IFAC-PapersOnLine, 48, 1314–1319.10.1016/j.ifacol.2015.06.267
  • Mitchell, M. (1998). An introduction to genetic algorithms. Cambridge, MA: MIT press.
  • Moon, I. K., & Cha, B. C. (2006). The joint replenishment problem with resource restriction. European Journal of Operational Research, 173, 190–198.10.1016/j.ejor.2004.11.020
  • Moon, I. K., Cha, B. C., & Kim, S. K. (2008). Offsetting inventory cycles using mixed integer programming and genetic algorithm. International Journal of Industrial Engineering: Theory, Applications and Practice, 15, 245–256.
  • Murthy, N. N., Benton, W. C., & Rubin, P. A. (2003). Offsetting inventory cycles of items sharing storage. European Journal of Operational Research, 150, 304–319.10.1016/S0377-2217(02)00518-0
  • Rosenblatt, M. J., & Rothblum, U. G. (1990). On the single resource capacity problem for multi-item inventory systems. Operations Research, 38, 686–693.10.1287/opre.38.4.686
  • Russell, R. A., & Urban, T. L. (2016). Offsetting inventory replenishment cycles. European Journal of Operational Research, 254, 105–112.10.1016/j.ejor.2016.03.055
  • Silver, E. A. (1976). A simple method of determining order quantities in joint replenishments under deterministic demand. Management Science, 22, 1351–1361.10.1287/mnsc.22.12.1351
  • Teo, C. P., Ou, J., & Tan, K. C. (1998). Multi-item inventory staggering problems: Heuristics and bounds. In Proceedings of the Ninth Annual Ace-Siam Symposium on Discrete Algorithms, By Association for Computing Machiner. San Francisco, CA.
  • Tersine, R. J. (1976). Materials management and inventory systems. Amsterdam: North Holland.
  • Thomas, L. C., & Hartley, R. (1983). An algorithm for limited capacity inventory problem with staggering. Journal of the Operational Research Society, 34, 81–85.10.1057/jors.1983.10
  • Tsai, C. Y., Tsai, C. Y., & Huang, P. W. (2009). An association clustering algorithm for can-order policies in the joint replenishment problem. International Journal of Production Economics, 117, 30–41.10.1016/j.ijpe.2008.08.056
  • Van Eijs, M. J. G. (1993). A note on the joint replenishment problem under constant demand. Journal of the Operational Research Society, 44, 185–191.10.1057/jors.1993.31
  • Viswanathan, S. (1996). A new optimal algorithm for the joint replenishment problem. Journal of the Operational Research Society, 47, 936–944.10.1057/jors.1996.119
  • Wang, L., He, J., Wu, D., & Zeng, Y. R. (2012). A novel differential evolution algorithm for joint replenishment problem under interdependence and its application. International Journal of Production Economics, 135, 190–198.10.1016/j.ijpe.2011.06.015
  • Wildeman, R. E., Frenk, J. B. G., & Dekker, R. (1997). An efficient optimal solution method for the joint replenishment problem. European Journal of Operational Research, 99, 433–444.10.1016/S0377-2217(96)00072-0
  • Yao, M. J. (2007). Solving the joint replenishment problem with warehouse-space restrictions using a genetic algorithm. Journal of the Chinese Institute of Industrial Engineers, 24, 128–141.10.1080/10170660709509028
  • Yao, M. J., & Chu, W. M. (2008). A genetic algorithm for determining optimal replenishment cycles to minimize maximum warehouse space requirements. Omega, 36, 619–631.10.1016/j.omega.2007.01.007
  • Yao, M. J., Chu, W. M., & Lin, Y. F. (2008). Determination of replenishment dates for restricted-storage, static demand, cyclic replenishment schedule. Computers & Operations Research, 35, 3230–3242.10.1016/j.cor.2007.02.020
  • Yokota, T., Gen, M., Li, Y., & Kim, C. E. (1996). A genetic algorithm for interval nonlinear integer programming problem. Computers & Industrial Engineering, 31, 913–917.10.1016/S0360-8352(96)00263-X
  • Zoller, K. (1977). Deterministic multi-item inventory systems with limited capacity. Management Science, 24, 451–455.10.1287/mnsc.24.4.451