Mô hình tối ưu cho vấn đề cung cấp và giao hàng phối hợp mới với nhiều kho
Tóm tắt
Mục đích của bài báo này là nghiên cứu một mô hình hỗ trợ quyết định mới và thực tiễn cho vấn đề cung cấp và giao hàng phối hợp (CRD) với nhiều kho (M-CRD) nhằm cải thiện hiệu suất của chuỗi cung ứng. Hai thuật toán, tìm kiếm tabu-RAND (TS-RAND) và thuật toán tiến hóa khác biệt lai thích ứng (AHDE) được phát triển và so sánh dựa trên hiệu suất của từng thuật toán trong việc giải quyết vấn đề M-CRD.
M-CRD được đề xuất phức tạp và thực tiễn hơn các CRD cổ điển, vốn là các bài toán NP-khó không xác định. Theo cấu trúc của M-CRD, một thuật toán lai, TS-RAND, và AHDE được thiết kế để giải quyết M-CRD.
Kết quả của các M-CRD với các quy mô khác nhau cho thấy rằng TS-RAND và AHDE là những ứng viên tốt để xử lý M-CRD quy mô nhỏ. TS-RAND cũng có thể tìm ra các giải pháp thỏa đáng cho M-CRD quy mô lớn. Tổng chi phí (
Từ khóa
#Mô hình tối ưu #CRD #M-CRD #thuật toán TS-RAND #thuật toán AHDETài liệu tham khảo
2013, A heuristic framework based on linear programming to solve the constrained joint replenishment problem (C-JRP), International Journal of Production Economics, 144, 243, 10.1016/j.ijpe.2013.02.008
1989, Computational complexity of uncapacitated multi-echelon production planning problems, Operations Research Letters, 8, 61, 10.1016/0167-6377(89)90001-1
2014, A logistics information system evaluation framework: assessing external technology integration and supporting organizational learning, Journal of Business Logistics, 25, 338
2012, Adoption of cloud computing technologies in supply chains: an organizational information processing theory approach, International Journal of Logistics Management, 23, 184, 10.1108/09574091211265350
2008, The joint replenishment and delivery scheduling of the one-warehouse, n-retailer system, Transportation Research Part E: Logistics and Transportation Review, 44, 720, 10.1016/j.tre.2007.05.010
2014, RFID technology investment evaluation model for the stochastic joint replenishment and delivery problem, Expert Systems with Applications, 41, 1792, 10.1016/j.eswa.2013.08.078
1999, Managing supply chain inventories: a multiple retailer, one warehouse, multiple supplier model, International Journal of Production Economics, 59, 341, 10.1016/S0925-5273(98)00115-7
2014, Data quality for data science, predictive analytics, and big data in supply chain management: an introduction to the problem and suggestions for research and applications, International Journal of Production Economics, 154, 72, 10.1016/j.ijpe.2014.04.018
2009, A genetic algorithm for joint replenishment based on the exact inventory cost, Computer and Operations Research, 36, 167, 10.1016/j.cor.2007.08.006
2006, Simulation study of a two-level warehouse inventory replenishment system, International Journal of Physical Distribution & Logistics Management, 36, 51, 10.1108/09600030610642931
2015, Advanced predictive-analysis-based decision support for collaborative logistics networks, Supply Chain Management: An International Journal, 20, 369, 10.1108/SCM-10-2014-0323
2014, Path-relinking tabu search for the multi-objective flexible job shop scheduling problem, Computers and Operations Research, 47, 11, 10.1016/j.cor.2014.01.010
2010, Inventory replenishment and delivery planning in a two-level supply chain with compound Poisson demands, International Journal of Advanced Manufacturing Technology, 49, 1107
2004, A simple and global optimization algorithm for engineering problems: differential evolution algorithm, Turkish Journal of Electrical Engineering and Computer Sciences, 12, 53
1991, On the economic ordering quantity for jointly replenished items, International Journal of Production Research, 29, 107, 10.1080/00207549108930051
2008, A review of the joint replenishment problem literature: 1989-2005, European Journal of Operational Research, 186, 1, 10.1016/j.ejor.2007.03.007
2011, The joint replenishment and freight consolidation of a warehouse in a supply chain, International Journal of Production Economics, 133, 344, 10.1016/j.ijpe.2009.10.030
2008, The joint replenishment problem involving multiple suppliers offering quantity discounts, International Journal of Systems Science, 39, 629, 10.1080/00207720701832614
2006, Scheduling flow shops using differential evolution algorithm, European Journal of Operational Research, 171, 674, 10.1016/j.ejor.2004.08.043
2015, A contrastive study of the stochastic location-inventory problem with joint replenishment and independent replenishment, Expert Systems with Applications, 42, 2061, 10.1016/j.eswa.2014.10.017
2013, Modelling and optimization for the joint replenishment and delivery problem with heterogeneous items, Knowledge-Based Systems, 54, 207, 10.1016/j.knosys.2013.09.013
1999, An integrated inventory-transportation system with modified periodic policy for multiple products, European Journal of Operational Research, 115, 254, 10.1016/S0377-2217(98)00301-4
2015, The role of collaboration in supply chain resilience, Supply Chain Management: An International Journal, 20, 471, 10.1108/SCM-11-2014-0386
2013, A tabu search heuristic for the inland container transportation problem, Computers and Operations Research, 40, 953, 10.1016/j.cor.2012.11.015
2005, An inventory-routing system for multi-item joint replenishment with limited vehicle capacity, Journal of Global Optimization, 32, 93, 10.1007/s10898-004-5908-0
1997, Differential evolution – a simple and efficient heuristic for global optimization over continuous spaces, Journal of Global Optimization, 11, 341, 10.1023/A:1008202821328
2013, Heuristics for the joint multi-item replenishment problem under trade credits, IMA Journal of Management Mathematics, 24, 63, 10.1093/imaman/dps004
2014, Joint replenishment of multi retailer with variable replenishment cycle under VMI, European Journal of Operational Research, 233, 787, 10.1016/j.ejor.2013.10.001
2017, Variable neighborhood search incorporating a new bounding procedure for joint replenishment and delivery problem, Journal of the Operational Research Society, 10.1057/s41274-017-0188-5
2015, An improved fruit fly optimization algorithm and its application to joint replenishment problems, Expert Systems with Applications, 42, 4310, 10.1016/j.eswa.2015.01.048
2016, An effective multivariate time series classification approach using echo state network and adaptive differential evolution algorithm, Expert Systems with Applications, 43, 237, 10.1016/j.eswa.2015.08.055
2012, An effective and efficient differential evolution algorithm for the integrated stochastic joint replenishment and delivery model, Knowledge-Based Systems, 36, 104, 10.1016/j.knosys.2012.06.007
2013, Model and algorithm of fuzzy joint replenishment problem under credibility measure on fuzzy goal, Knowledge-Based Systems, 39, 57, 10.1016/j.knosys.2012.10.002
2014, Optimizing the joint replenishment and channel coordination problem under supply chain environment using a simple and effective differential evolution algorithm, Discrete Dynamics in Nature and Society, 2014, 1, 10.1155/2014/709856
2013, Model and algorithm for fuzzy joint replenishment and delivery scheduling without explicit membership function, International Journal of Advanced Manufacturing Technology, 66, 1907, 10.1007/s00170-012-4469-5
2014, A tabu search heuristic for the local container drayage problem under a new operation mode, Transportation Research Part E: Logistics and Transportation Review, 62, 136, 10.1016/j.tre.2013.12.007
2004, Antenna-array pattern nulling using a differential evolution algorithm, International Journal of RF and Microwave Computer-Aided Engineering, 14, 57, 10.1002/mmce.10118
2016, An effective hybrid differential evolution algorithm incorporating simulated annealing for joint replenishment and delivery problem with trade credit, International Journal of Computational Intelligence Systems, 9, 1001, 10.1080/18756891.2016.1256567
2017, An integrated model to select an ERP system for Chinese small- and medium-sized enterprise under uncertainty, Technological and Economic Development of Economy, 23, 38