Research on integrated production-distribution planning in supply chain based on particle swarm optimization algorithm

doi:10.3778/j.issn.1002-8331.2008.30.063

Computer Engineering and Applications ›› 2008, Vol. 44 ›› Issue (30): 206-209.DOI: 10.3778/j.issn.1002-8331.2008.30.063

• 工程与应用 • Previous Articles Next Articles

Research on integrated production-distribution planning in supply chain based on particle swarm optimization algorithm

MA Hui-min¹,YE Chun-ming¹,ZHANG Shuang¹,XU Sheng-liang²

1.Business School，University of Shanghai for Science & Technology，Shanghai 200093，China
2.Business School，Shanghai Dianji University，Shanghai 200245，China

Received:2008-07-12 Revised:2008-08-28 Online:2008-10-21 Published:2008-10-21
Contact: MA Hui-min

基于粒子群算法的供应链生产、配送集成计划研究

马慧民¹,叶春明¹,张爽¹,许圣良²

1.上海理工大学管理学院，上海 200093
2.上海电机学院经济管理学院，上海 200245

通讯作者: 马慧民

Abstract

Abstract: The model of integrated production-distribution planning in manufacturing supply chain network comprised of single plant，multiple products，multiple cycles and multiple distribution centers is put forward.The method based on binary particle swarm optimization algorithm is proposed to solve this problem.The detailed realization of the method is illustrated.The example is computed.Simulation results of the example demonstrate the effectiveness of this algorithm.By comparison of the result，it can be found that integrated production-distribution planning can remarkably reduce supply chain cost.

Key words: integrated planning, particle swarm optimization algorithm, production-distribution planning

摘要： 针对单工厂、多产品、多周期、多配送中心的供应链网络，构建了生产、配送集成计划模型，提出了用于求解该问题的粒子群算法方案，阐明了该算法方案的具体实现过程。采用分离策略提出独立决策下的生产计划模型和配送计划模型。仿真实例的计算结果表明集成决策可以有效地降低供应链成本。

关键词: 集成计划, 粒子群算法, 生产, 配送计划

MA Hui-min¹,YE Chun-ming¹,ZHANG Shuang¹,XU Sheng-liang². Research on integrated production-distribution planning in supply chain based on particle swarm optimization algorithm[J]. Computer Engineering and Applications, 2008, 44(30): 206-209.

马慧民¹,叶春明¹,张爽¹,许圣良². 基于粒子群算法的供应链生产、配送集成计划研究[J]. 计算机工程与应用, 2008, 44(30): 206-209.

[1]	SHI Chuntian, ZENG Yanyang, HOU Shouming. Summary of Application of Swarm Intelligence Algorithms in Image Segmentation [J]. Computer Engineering and Applications, 2021, 57(8): 36-47.
[2]	CHEN Wanfen, WANG Yujia, LIN Weixing. Heterogeneous Ensemble Surrogate Assisted Multi-objective Particle Swarm Optimization Algorithm [J]. Computer Engineering and Applications, 2021, 57(23): 71-80.
[3]	ZHOU Qin, CHENG Lizheng. Particle Swarm Optimization Algorithm for Solving Singular Perturbed Problems on Layer Adaptive Mesh [J]. Computer Engineering and Applications, 2020, 56(11): 46-50.
[4]	ZHANG Xin1, ZOU Dexuan1, XIAO Peng1, YU Qiu2. Self-Adjusted Simplified Particle Swarm Optimization Algorithm and Its Application [J]. Computer Engineering and Applications, 2019, 55(8): 250-263.
[5]	CHEN Jie, ZHANG Wendong, SU Linlin, SANG Shengbo. Spacecraft Attitude-Orbit Control Algorithm Based on Lyapunov Stability Criterion and CPSO Algorithm [J]. Computer Engineering and Applications, 2019, 55(24): 229-234.
[6]	YANG Xiaohua, GUO Jianquan. Fuzzy Programming of Closed-Loop Logistics Network for Fresh Products under New Retail Model [J]. Computer Engineering and Applications, 2019, 55(2): 198-205.
[7]	ZHU Jingwei, FANG Husheng, SHAO Faming, JIANG Chengming. Self-Adaptive Particle Swarm Optimization Algorithm for Solving Inverse Kinematics Problem of Redundant Manipulator [J]. Computer Engineering and Applications, 2019, 55(14): 215-220.
[8]	HE Minghui1, XU Yi1，2, WANG Ran1, HU Shanzhong1. Combination dynamic inertia weight particle swarm optimization algorithm to optimize neural network and application [J]. Computer Engineering and Applications, 2018, 54(19): 107-113.
[9]	CHANG Hongwei1, XIA Kewen1，2, BAI Jianchuan1，2, NIU Wenjia1, WU Panpan1. Attribute reduction method using cloud quantum-behaved PSO [J]. Computer Engineering and Applications, 2018, 54(10): 99-104.
[10]	OUYANG Long, YANG Jianfeng, XU Jun, GUO Chengcheng . CRQP based resource co-allocation algorithm for OFDMA cellular systems [J]. Computer Engineering and Applications, 2017, 53(5): 121-127.
[11]	NAN Jingchang, TIAN Na. Fuzzy wavelet neural network for modeling based on improved particle swarm optimization algorithm [J]. Computer Engineering and Applications, 2017, 53(3): 120-123.
[12]	ZHAO Jiuling, ZHANG Wenhai. Improved particle swarm algorithm to lower characteristic signal of solid propellant [J]. Computer Engineering and Applications, 2017, 53(19): 136-141.
[13]	BAI Shuren1，2, CHEN Long2. Particle clustering algorithm with adaptive K values [J]. Computer Engineering and Applications, 2017, 53(16): 116-120.
[14]	LI Xinchun, WANG Xiaoming. Node distribution influence on performance of wireless sensor network node localization [J]. Computer Engineering and Applications, 2016, 52(9): 112-115.
[15]	LEI Ruilong, HOU Ligang, CAO Jiangtao. Multi-objective particle swarm optimization algorithm based on multi-strategy [J]. Computer Engineering and Applications, 2016, 52(8): 19-24.

Research on integrated production-distribution planning in supply chain based on particle swarm optimization algorithm

基于粒子群算法的供应链生产、配送集成计划研究

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics