|
|
|
| Integrated Optimization of Location-inventory-delivery Under Disruption Risk |
| JIA Mengyao, ZHANG Jihui
|
| a. Institute of Complexity Science; b. Shandong Key Laboratory of Industrial Control Technology, Qingdao University, Qingdao 266071, China |
|
|
|
|
Abstract Location selection, inventory and routing decisions are three closely related problems in logistics systems. In order to address the supply disruption caused by uncertain factors, this paper established a mixed integer programming model for location-inventory-delivery integrated optimization problem considering disruption risk, proposed a solution method based on fruit fly optimizer and arithmetic optimizer algorithm, which introduce the exploration and exploitation mechanism of arithmetic optimization algorithm into FOA to increase population diversity. The ability of global optimization and local exploitation of the algorithm is well balanced. The results show that the new algorithm has faster convergence speed and higher convergence accuracy. The results of sensitivity analysis show that the location scheme considering the disruption risk can reduce the expected total cost of the system, and the penalty cost factor has a great influence on the cost and location scheme.
|
|
Received: 07 November 2023
Published: 19 May 2026
|
|
|
|
|
|
[1] LIU S C, LEE S B. A two-phase heuristic method for the multi-depot location routing problem taking inventory control decisions into consideration[J]. The International Journal of Advanced Manufacturing Technology, 2003, 22(11-12): 941-950.
[2] LIU S C, LIN C C. A heuristic method for the combined location routing and inventory problem[J]. The International Journal of Advanced Manufacturing Technology, 2005, 26(4): 372-381.
[3] 屈绍建,李帅.区块链背景下订单转保理的供应链金融博弈模型[J].系统工程理论与实践,2023,43(12):3570-3590.
QU S J, LI S. A supply chain finance game model with order-to-factoring under blockchain[J]. Systems Engineering—Theory & Practice,2023,43(12):3570-3590.
[4] SHU J, TEO C P, SHEN Z J M. Stochastic transportation-inventory network design problem[J]. Operations Research, 2005, 53(1): 48-60.
[5] 李志,周愉峰.考虑中断风险与库存成本的分销网络设计模型[J].运筹与管理, 2014, 23(6):136-143.
LI Z, ZHOU Y F. Distribution network design problem considering inventory cost under the risk of disruptions[J]. Operations Research and Management Science, 2014, 23(6):136-143.
[6] 原丕业,宋乃绪,万鹏等.考虑中断风险和转运的分销网络优化模型[J].工业工程, 2017, 20(6):22-30.
YUAN P Y, SONG N X, WAN P, et al. An optimization model of distribution network considering transshipment and risk of disruptions[J]. Industrial Engineering Journal, 2017, 20(6):22-30.
[7] SILVA F, GAO L. A joint replenishment inventory-location model[J]. Networks and Spatial Economics, 2013, 13(1): 107-122.
[8] GOYAL S K. Determination of economic packaging frequency for items jointly replenished[J]. Management Science, 1973, 20(2): 232-235.
[9] PORRAS E, DEKKER R. A solution method for the joint replenishment problem with correction factor[J]. International Journal of Production Economics, 2008, 113(2): 834-851.
[10] KHOUJA M, GOYAL S. A review of the joint replenishment problem literature: 1989—2005[J]. European Journal of Operational Research, 2008, 186(1): 1-16.
[11] PENG L, WANG L, WANG S. A review of the joint replenishment problem from 2006 to 2022[J]. Management System Engineering, 2022, 1: 9.
[12] EYNAN A, KROPP D H. Periodic review and joint replenishment in stochastic demand environments[J]. IIE Transactions, 1998, 30(11): 1025-1033.
[13] CHA B C, MOON I K, PARK J H. The joint replenishment and delivery scheduling of the one-warehouse, n-retailer system[J]. Transportation Research Part E: Logistics and Transportation Review, 2008, 44(5): 720-730.
[14] WANG L, DUN C X, LEE C G, et al. Model and algorithm for fuzzy joint replenishment and delivery scheduling without explicit membership function[J]. The International Journal of Advanced Manufacturing Technology, 2013, 66(9-12): 1907-1920.
[15] WANG L, PENG L, WANG S, et al. Advanced backtracking search optimization algorithm for a new joint replenishment problem under trade credit with grouping constraint[J]. Applied Soft Computing, 2020, 86: 105953.
[16] CUI L, DENG J, LIU R, et al. A stochastic multi-item replenishment and delivery problem with lead-time reduction initiatives and the solving methodologies[J]. Applied Mathematics and Computation, 2020, 374: 125055.
[17] 曾宇容,王林,王思睿.基于混合果蝇优化算法的选址-库存-配送集成优化研究[J].运筹与管理, 2022, 31(3):24-30.
ZENG Y R, WANG L, WANG S R. Integrated optimization of location-inventory-delivery problem using hybrid fruit fly optimization algorithm[J]. Operations Research and Management Science, 2022, 31(3):24-30.
[18] WANG S, WANG L, PI Y. A hybrid differential evolution algorithm for a stochastic location-inventory-delivery problem with joint replenishment[J]. Data Science and Management, 2022, 5(3): 124-136
[19] PAN W T. A new fruit fly optimization algorithm: taking the financial distress model as an example[J]. Knowledge-Based Systems, 2012, 26: 69-74.
[20] WANG L, LIU R, LIU S. An effective and efficient fruit fly optimization algorithm with level probability policy and its applications[J]. Knowledge-Based Systems, 2016, 97: 158-174.
[21] WANG L, LIU R, LIU S. Variable neighborhood search incorporating a new bounding procedure for joint replenishment and delivery problem[J]. Journal of the Operational Research Society, 2018, 69(2): 201-219.
[22] ABUALIGAH L, DIABAT A, MIRJALILI S, et al. The arithmetic optimization algorithm[J]. Computer Methods in Applied Mechanics and Engineering, 2021, 376: 113609.
[23] PENG L, WANG L, WANG S. Hybrid arithmetic optimization algorithm for a new multi-warehouse joint replenishment and delivery problem under trade credit[J]. Neural Computing and Applications, 2023, 35(10): 7561-7580.
[24] WANG L, SHI Y, LIU S. An improved fruit fly optimization algorithm and its application to joint replenishment problems[J]. Expert Systems with Applications, 2015, 42(9): 4310-4323.
[25] YUAN X, DAI X, ZHAO J, et al. On a novel multi-swarm fruit fly optimization algorithm and its application[J]. Applied Mathematics and Computation, 2014, 233: 260-271.
[26] 曾宇容,万建超,吕盛祥等.联合补货策略下的供应商选择和订货量分配协同优化[J].控制与决策,2019,34(8):1714-1722.
ZENG Y R, WAN J C, LV S X, et al. Collaborative optimization of suppliers selection and order quantity allocation using joint replenishment policy[J]. Control and Decision, 2019, 34(8): 1714-1722.
[27] QU H, WANG L, ZENG Y R. Modeling and optimization for the joint replenishment and delivery problem with heterogeneous items[J]. Knowledge-Based Systems, 2013, 54: 207-215. |
|
|
|
