A Bi-objective Non-linear Approach for Determining the Ordering Strategy for Group B in ABC Analysis Inventory
Subject Areas : Business Administration and EntrepreneurshipFatemeh Keshavarz-Ghorbani 1 , Seyed Hamid Reza Pasandideh 2
1 - Department of Industrial Engineering, Faculty of Engineering, Kharazmi University, Tehran, Iran
2 - Department of Industrial Engineering, Faculty of Engineering, Kharazmi University, Tehran, Iran
Keywords:
Abstract :
Abdolazimi, O., Esfandarani, M. S., & Shishebori, D. (2021). Design of a supply chain network for determining the optimal number of items at the inventory groups based on ABC analysis: a comparison of exact and meta-heuristic methods. Neural Computing and Applications, 33(12), 6641-6656, doi:https://doi.org/10.1007/s00521-020-05428-y.
Ahmadi, A., Mohabbatdar, S., & Sajadieh, M. S. (2016). Optimal manufacturer-retailer policies in a supply chain with defective product and price dependent demand. Journal of Optimization in Industrial Engineering, 9(19), 37-46.
Ahmadzadeh, E., & Vahdani, B. (2017). A location-inventory-pricing model in a closed loop supply chain network with correlated demands and shortages under a periodic review system. Computers & Chemical Engineering, 101, 148-166, doi:https://doi.org/10.1016/j.compchemeng.2017.02.027.
Axsäter, S. (2007). A heuristic for triggering emergency orders in an inventory system. European Journal of Operational Research, 176(2), 880-891, doi:https://doi.org/10.1016/j.ejor.2005.09.002.
Berk, E., & Gürler, Ü. (2008). Analysis of the (Q, r) Inventory Model for Perishables with Positive Lead Times and Lost Sales. Operations Research, 56(5), 1238-1246, doi:10.1287/opre.1080.0582.
Betts, J. M., & Johnston, R. B. (2005). Determining the optimal constrained multi-item (Q, r) inventory policy by maximising risk-adjusted profit. IMA Journal of Management Mathematics, 16(4), 317-338, doi:10.1093/imaman/dpi006.
Bonami, P., Cornuéjols, G., Lodi, A., & Margot, F. (2009). A feasibility pump for mixed integer nonlinear programs. Mathematical Programming, 119(2), 331-352, doi:https://doi.org/10.1007/s10107-008-0212-2.
Chand, S., Li, J., & Xu, Y. (2016). A periodic review inventory model with two delivery modes, fractional lead-times, and age-and-period-dependent backlogging costs. International Journal of Production Economics, 173, 199-206, doi:https://doi.org/10.1016/j.ijpe.2015.12.002.
Chang, C.-T. (2007). Multi-choice goal programming. Omega, 35(4), 389-396, doi:https://doi.org/10.1016/j.omega.2005.07.009.
Chang, C.-T. (2011). Multi-choice goal programming with utility functions. European Journal of Operational Research, 215(2), 439-445, doi:https://doi.org/10.1016/j.ejor.2011.06.041.
Charnes, A., Cooper, W. W., & Ferguson, R. O. (1955). Optimal estimation of executive compensation by linear programming. Management Science, 1(2), 138-151.
Cobb, B. R., Johnson, A. W., Rumí, R., & Salmerón, A. (2015). Accurate lead time demand modeling and optimal inventory policies in continuous review systems. International Journal of Production Economics, 163, 124-136, doi:http://dx.doi.org/10.1016/j.ijpe.2015.02.017.
Dillon, M., Oliveira, F., & Abbasi, B. (2017). A two-stage stochastic programming model for inventory management in the blood supply chain. International Journal of Production Economics, 187, 27-41, doi:https://doi.org/10.1016/j.ijpe.2017.02.006.
Fatehi Kivi, A., Atashi Abkenar, A. A., & Alipour, H. (2018). Fuzzy mathematical model for a lot-sizing problem in closed-loop supply chain. Journal of Optimization in Industrial Engineering, 11(1), 133-141.
Fattahi, P., Hajipour, V., & Nobari, A. (2015). A bi-objective continuous review inventory control model. Appl. Soft Comput., 32(C), 211-223, doi:10.1016/j.asoc.2015.02.044.
Ghalebsaz-Jeddi, B., Shultes, B. C., & Haji, R. (2004). A multi-product continuous review inventory system with stochastic demand, backorders, and a budget constraint. European Journal of Operational Research, 158(2), 456-469, doi:https://doi.org/10.1016/S0377-2217(03)00363-1.
Hafezalkotob, A., Khalili-Damghani, K., & Ghashami, S. S. (2016). A three-echelon multi-objective multi-period multi-product supply chain network design problem: A goal programming approach. Journal of Optimization in Industrial Engineering, 10(21), 67-78.
Hajiagha, S. H. R., Daneshvar, M., & Antucheviciene, J. (2021). A hybrid fuzzy-stochastic multi-criteria ABC inventory classification using possibilistic chance-constrained programming. Soft Computing, 25(2), 1065-1083, doi:https://doi.org/10.1007/s00500-020-05204-z.
Hajiaghaei-Keshteli, M., Sajadifar, S. M., & Haji, R. (2011). Determination of the economical policy of a three-echelon inventory system with (R, Q) ordering policy and information sharing. The International Journal of Advanced Manufacturing Technology, 55(5-8), 831-841, doi:https://doi.org/10.1007/s00170-010-3112-6.
Hemmati, M., & Pasandideh, S. H. R. (2020). A bi-objective supplier location, supplier selection and order allocation problem with green constraints: scenario-based approach. Journal of Ambient Intelligence and Humanized Computing, 1-24, doi:https://doi.org/10.1007/s12652-020-02555-1.
Horng, S.-C., & Lin, S.-S. (2017). Ordinal optimization based metaheuristic algorithm for optimal inventory policy of assemble-to-order systems. Applied Mathematical Modelling, 42, 43-57, doi:https://doi.org/10.1016/j.apm.2016.10.002.
Johansen, S. G. (2013). Modified base-stock policies for continuous-review, lost-sales inventory models with Poisson demand and a fixed lead time. International Journal of Production Economics, 143(2), 379-384, doi:https://doi.org/10.1016/j.ijpe.2012.02.021.
Keshavarz-Ghorbani, F., & Pasandideh, S. H. R. (2021). Optimizing a two-level closed-loop supply chain under the vendor managed inventory contract and learning: Fibonacci, GA, IWO, MFO algorithms. Neural Computing and Applications, 1-26, doi:https://doi.org/10.1007/s00521-021-05703-6.
Kettani, O., Aouni, B. d., & Martel, J.-M. (2004). The double role of the weight factor in the goal programming model. Computers & Operations Research, 31(11), 1833-1845, doi:https://doi.org/10.1016/S0305-0548(03)00142-4.
Kong, X., Wang, H., Chen, X., & Feng, G. (2020). Optimal policy for inventory systems with capacity commitment and fixed ordering costs. Operations Research Letters, 48(1), 9-17, doi:https://doi.org/10.1016/j.orl.2019.10.006.
Kundu, A., & Chakrabarti, T. (2012). A multi-product continuous review inventory system in stochastic environment with budget constraint. Optimization letters, 6(2), 299-313, doi:https://doi.org/10.1007/s11590-010-0245-3.
Lau, A. H. L., & Lau, H.-S. (2008). An improved (Q,R) formulation when the stockout cost is incurred on a per-stockout basis. International Journal of Production Economics, 111(2), 421-434, doi:http://dx.doi.org/10.1016/j.ijpe.2006.04.022.
M’Hallah, R., Benkherouf, L., & Al-Kandari, A. (2020). Optimal inventory policies for a two-dimensional stochastic inventory model: A numerical investigation. Computers & Operations Research, 119, 104939, doi:https://doi.org/10.1016/j.cor.2020.104939.
Maleki, L., Pasandideh, S. H. R., Niaki, S. T. A., & Cárdenas-Barrón, L. E. (2017). Determining the prices of remanufactured products, capacity of internal workstations and the contracting strategy within queuing framework. Applied Soft Computing, 54, 313-321.
Mardan, E., Govindan, K., Mina, H., & Gholami-Zanjani, S. M. (2019). An accelerated benders decomposition algorithm for a bi-objective green closed loop supply chain network design problem. Journal of Cleaner Production, 235, 1499-1514, doi:https://doi.org/10.1016/j.jclepro.2019.06.187.
Massonnet, G., Gayon, J. P., & Rapine, C. (2014). Approximation algorithms for deterministic continuous-review inventory lot-sizing problems with time-varying demand. European Journal of Operational Research, 234(3), 641-649, doi:http://dx.doi.org/10.1016/j.ejor.2013.09.037.
Mattsson, S.-A. (2010). Inventory control in environments with seasonal demand. Operations Management Research, 3(3-4), 138-145, doi:https://doi.org/10.1007/s12063-010-0035-1.
Mirkhorsandi, S. S., & Pasandideh, S. H. R. (2020). A Bi-objective Multi-Product Multi-Constraint EPQ Model in a Stochastic Environment and Partial Shortage. Journal of Advanced Manufacturing Systems, 19(03), 567-587.
Mohammaditabar, D., Hassan Ghodsypour, S., & O'Brien, C. (2012). Inventory control system design by integrating inventory classification and policy selection. International Journal of Production Economics, 140(2), 655-659, doi:https://doi.org/10.1016/j.ijpe.2011.03.012.
Nemati-Lafmejani, R., & Davari-Ardakani, H. (2020). Multi-mode resource constrained project scheduling problem along with contractor selection. INFOR: Information Systems and Operational Research, 1-20, doi:https://doi.org/10.1080/03155986.2020.1803720
Niknamfar, A. H., & Pasandideh, S. H. R. (2014). A bi-objective optimization for vendor managed inventory model. Journal of Optimization in Industrial Engineering, 7(15), 37-45.
Pasandideh, S. H. R., Niaki, S. T. A., & Asadi, K. (2015). Optimizing a bi-objective multi-product multi-period three echelon supply chain network with warehouse reliability. Expert Systems with Applications, 42(5), 2615-2623.
Pasandideh, S. H. R., Niaki, S. T. A., & Tokhmehchi, N. (2011). A parameter-tuned genetic algorithm to optimize two-echelon continuous review inventory systems. Expert Systems with Applications, 38(9), 11708-11714, doi:https://doi.org/10.1016/j.eswa.2011.03.056.
Poorbagheri, T., & Akhavan Niaki, S. T. (2015). Vendor Managed Inventory of a Supply Chain under Stochastic Demands. Journal of Optimization in Industrial Engineering, 8(18), 47-60.
Poormoaied, S., & Atan, Z. (2020). A continuous review policy for two complementary products with interrelated demand. Computers & Industrial Engineering, 150, 106980, doi:https://doi.org/10.1016/j.cie.2020.106980.
Priyan, S., & Uthayakumar, R. (2015). Continuous review inventory model with controllable lead time, lost sales rate and order processing cost when the received quantity is uncertain. Journal of Manufacturing Systems, 34, 23-33, doi:http://dx.doi.org/10.1016/j.jmsy.2014.09.002.
Qi, L. (2013). A continuous-review inventory model with random disruptions at the primary supplier. European Journal of Operational Research, 225(1), 59-74, doi:https://doi.org/10.1016/j.ejor.2012.09.035.
Rao, U. S. (2003). Properties of the periodic review (R, T) inventory control policy for stationary, stochastic demand. Manufacturing & Service Operations Management, 5(1), 37-53.
Saracoglu, I., Topaloglu, S., & Keskinturk, T. (2014). A genetic algorithm approach for multi-product multi-period continuous review inventory models. Expert Systems with Applications, 41(18), 8189-8202, doi:https://doi.org/10.1016/j.eswa.2014.07.003.
Soylu, B., & Akyol, B. (2014). Multi-criteria inventory classification with reference items. Computers & Industrial Engineering, 69(Supplement C), 12-20, doi:https://doi.org/10.1016/j.cie.2013.12.011.
Taleizadeh, A. A., Shokr, I., Konstantaras, I., & VafaeiNejad, M. (2020). Stock replenishment policies for a vendor-managed inventory in a retailing system. Journal of Retailing and Consumer Services, 55, 102137, doi:https://doi.org/10.1016/j.jretconser.2020.102137.
Tamjidzad, S., & Mirmohammadi, S. H. (2015). An optimal (r, Q) policy in a stochastic inventory system with all-units quantity discount and limited sharable resource. European Journal of Operational Research, 247(1), 93-100, doi:http://dx.doi.org/10.1016/j.ejor.2015.05.073.
Tao, Y., Lee, L. H., Chew, E. P., Sun, G., & Charles, V. (2017). Inventory control policy for a periodic review system with expediting. Applied Mathematical Modelling, 49, 375-393, doi:https://doi.org/10.1016/j.apm.2017.04.036.
Xu, Y., Bisi, A., & Dada, M. (2017). A finite-horizon inventory system with partial backorders and inventory holdback. Operations Research Letters, 45(4), 315-322, doi:https://doi.org/10.1016/j.orl.2017.04.007.
Yang, L., Li, H., Campbell, J. F., & Sweeney, D. C. (2017). Integrated multi-period dynamic inventory classification and control. International Journal of Production Economics, 189(Supplement C), 86-96, doi:https://doi.org/10.1016/j.ijpe.2017.04.010.
Yousefi-Babadi, A., Tavakkoli-Moghaddam, R., Bozorgi-Amiri, A., & Seifi, S. (2017). Designing a Reliable Multi-Objective Queuing Model of a Petrochemical Supply Chain Network under Uncertainty: A Case Study. Computers & Chemical Engineering, 100, 177-197, doi:https://doi.org/10.1016/j.compchemeng.2016.12.012.
Zhao, X., Qiu, M., Xie, J., & He, Q. (2012). Computing (r, Q) policy for an inventory system with limited sharable resource. Computers & Operations Research, 39(10), 2368-2379, doi:https://doi.org/10.1016/j.cor.2011.12.012.