Increasing the Efficiency of Logistics in Warehouse Using the Combination of Simple Optimization Methods

被引:0
作者
Jemelka, Milan [1 ]
Chramcov, Bronislav [1 ]
Kriz, Pavel [1 ]
机构
[1] Tomas Bata Univ Zlin, Fac Appl Informat, Stranemi 4511, Zlin 76005, Czech Republic
来源
CYBERNETICS APPROACHES IN INTELLIGENT SYSTEMS: COMPUTATIONAL METHODS IN SYSTEMS AND SOFTWARE 2017, VOL. 1 | 2018年 / 661卷
关键词
Simulation; Random solutions algorithm; All combinations algorithm; Optimization; Logistics; Warehouse; ABC classification; Inventory; STORAGE ASSIGNMENT; EVOLUTIONARY; ALGORITHMS; STRATEGIES;
D O I
10.1007/978-3-319-67618-0_21
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The paper focuses on increasing the efficiency of logistics process in warehouse. Today's trend is to use simulation tools. To obtain effective solutions exist various optimization methods, optimization algorithms and heuristics. The presented experiment uses the combination of two simple optimization methods for searching the effective solution in reasonable time. The Random solutions algorithm and the All combinations algorithm are used together. Random solutions algorithm generates random combinations and can help indicate how solutions will vary, by giving a picture of the shape of the entire solution space for a scenario. All combinations algorithm is a method, which runs all constrained combinations. If sufficient time is available, this method guarantees that the optimal result will be found. An estimate of the time to be taken can be obtained in advance. This concrete two algorithms demonstration is a high quality and fast way to achieve effective ( optimal) results in a short time. The Witness simulation environment is used for the experiments.
引用
收藏
页码:225 / 235
页数:11
相关论文
共 42 条
[1]  
Adil Gajendra Kumar, 2010, International Journal of Advanced Operations Management, V2, P274, DOI 10.1504/IJAOM.2010.038341
[2]  
[Anonymous], 1999, NEW IDEAS OPTIMIZATI
[3]  
Bottani E, 2015, INTEL SYST REF LIBR, V87, P645, DOI 10.1007/978-3-319-17906-3_25
[4]  
Bragg S. M., 2013, INVENTORY MANAGEMENT
[5]  
Cecil-Wright J., 1986, INT J RETAIL DISTRIB, V14, P67
[6]  
Davendra D., 2010, Traveling salesman problem, theory and applications
[7]   Scheduling the Lot-Streaming Flowshop Scheduling Problem with Setup Time with the Chaos-Induced Enhanced Differential Evolution [J].
Davendra, Donald ;
Bialic-Davendra, Magdalena ;
Senkerik, Roman .
PROCEEDINGS OF THE 2013 IEEE SYMPOSIUM ON DIFFERENTIAL EVOLUTION (SDE), 2013,
[8]  
Davendra D, 2010, STUD COMPUT INTELL, V267, P145
[9]   Determining the number of zones in a pick-and-sort order picking system [J].
de Koster, Rene B. M. ;
Tho Le-Duc ;
Zaerpour, Nima .
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2012, 50 (03) :757-771
[10]   Evolution to the xtreme: Evolving evolutionary strategies using a meta-level approach [J].
Deugo, D ;
Ferguson, D .
CEC2004: PROCEEDINGS OF THE 2004 CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1 AND 2, 2004, :31-38