The Research of Order Picking Optimization Based on Jointown Pharmaceutical Logistics Center

2014 ◽  
Vol 701-702 ◽  
pp. 94-97
Author(s):  
Shou Wen Ji ◽  
Xiao Ting Li ◽  
Yong Wang
Keyword(s):  
Information Technology ◽  
Ant Colony Algorithm ◽  
Rapid Development ◽  
Order Picking ◽  
Ant Colony ◽  
Modern Logistics ◽  
Logistics System ◽  
Logistics Center ◽  
The Cost ◽  
And Storage

With the rapid development of modern logistics technology and automation information technology, the automation stereoscopic warehouse has been used more and more widely. As an important part of logistics system, it also plays an important role in the field of pharmaceutical logistics. In order to more effectively manage the automation stereoscopic warehouse, and improve the picking efficiency, reduce the cost of goods handling and storage, order picking optimization is required to reduce logistics costs and improve profitability. This paper adopts ant colony algorithm to build model and solve the problems of order picking optimization, and takes the Jointown pharmaceutical logistics center as an example to further verify the analysis and get more ideal optimization path simulation image.

Study on Optimization of Cargo Space Allocation Based on Jointown Pharmaceutical Logistics Center

2014 ◽  
Vol 701-702 ◽  
pp. 83-87
Author(s):  
Shou Wen Ji ◽  
Xi Wu ◽  
Yun Fei Wang ◽  
Gang Su
Keyword(s):  
Genetic Algorithm ◽  
Information Technology ◽  
Optimization Problem ◽  
Rapid Development ◽  
Logistics Center ◽  
Multi Objective ◽  
Space Allocation ◽  
Multi Objective Genetic Algorithm ◽  
And Storage ◽  
The Ideal

With the rapid development of modern logistics technology and automation of information technology, the AS/RS has been more and more widely used in the field of medicine logistics. In order to more effectively manage AS/RS, improve the rationality of the layout, reduce the number of goods handling and storage costs, it demands to optimize the cargo space allocation for goods .This article adopts multi-objective genetic algorithm to solve the optimization problem of cargo space allocation modeling, and use Jointown pharmaceutical logistics center as an example to further verify the analysis, getting the ideal optimization results and the simulation image.

The Research of Emergency Logistics Routing Optimization Based on Improved Ant Colony Optimization

2012 ◽  
Vol 482-484 ◽  
pp. 2519-2523
Author(s):  
Teng Fei ◽  
Li Yi Zhang ◽  
Yun Shan Sun ◽  
Hong Wei Ren
Keyword(s):  
Mathematical Model ◽  
Ant Colony Algorithm ◽  
Model Solution ◽  
Ant Colony ◽  
Traffic Situation ◽  
Logistics System ◽  
Logistics Distribution ◽  
Routing Optimization ◽  
Emergency Logistics ◽  
Improved Ant Colony Algorithm

Emergency logistics system contains information on material reserves, emergency command and emergency distribution. In this paper, the aspect of emergency distribution only is analyzed in microscopic, mathematical model of emergency logistics distribution has been established in considering the traffic situation and shortage degree. On the aspect of model solution, improved ant colony algorithm, which can enhance the selectivity of finding the best solution in emergency logistics distribution routing, is used in solving the model.

scholarly journals Clustering Control of Multi-Objective Problems with Application to E-commerce

2018 ◽  
Vol 1 (1) ◽  
pp. 41
Author(s):  
Liang Chen ◽  
Xingwei Wang ◽  
Jinwen Shi
Keyword(s):  
Ant Colony Algorithm ◽  
Time Window ◽  
Ant Colony ◽  
Distribution Area ◽  
Routing Problem ◽  
Logistics Distribution ◽  
Multi Objective ◽  
The Cost ◽  
Vehicle Capacity ◽  
Cost Of Transportation

In the existing logistics distribution methods, the demand of customers is not considered. The goal of these methods is to maximize the vehicle capacity, which leads to the total distance of vehicles to be too long, the need for large numbers of vehicles and high transportation costs. To address these problems, a method of multi-objective clustering of logistics distribution route based on hybrid ant colony algorithm is proposed in this paper. Before choosing the distribution route, the customers are assigned to the unknown types according to a lot of customers attributes so as to reduce the scale of the solution. The discrete point location model is applied to logistics distribution area to reduce the cost of transportation. A mathematical model of multi-objective logistics distribution routing problem is built with consideration of constraints of the capacity, transportation distance, and time window, and a hybrid ant colony algorithm is used to solve the problem. Experimental results show that, the optimized route is more desirable, which can save the cost of transportation, reduce the time loss in the process of circulation, and effectively improve the quality of logistics distribution service.

The Research on VRP Based on Max-Min Ant Colony Algorithm

2011 ◽  
Vol 219-220 ◽  
pp. 1285-1288 ◽  
Author(s):  
Chang Min Chen ◽  
Wei Cheng Xie ◽  
Song Song Fan
Keyword(s):  
Vehicle Routing ◽  
Vehicle Routing Problem ◽  
Ant Colony Algorithm ◽  
Search Time ◽  
Ant Colony ◽  
Local Optimum ◽  
Simulation Data ◽  
Routing Problem ◽  
Np Hard Problem ◽  
The Cost

Vehicle routing problem (VRP) is the key to reducing the cost of logistics, and also an NP-hard problem. Ant colony algorithm is a very effective method to solve the VRP, but it is easy to fall into local optimum and has a long search time. In order to overcome its shortcomings, max-min ant colony algorithm is adopted in this paper, and its simulation system is designed in GUI of MATLAB7.0. The results show that the vehicle routing problem can well achieves the optimization of VRP by accessing the simulation data of database.

scholarly journals Peculiarities of solving the problems of modern logistics in high-rise construction and industrial production

2018 ◽  
Vol 33 ◽  
pp. 03076
Author(s):  
Anatoliy E. Rubtsov ◽  
Elena V. Ushakova ◽  
Tamara V. Chirkova
Keyword(s):  
Structural Optimization ◽  
Industrial Production ◽  
Distribution Network ◽  
Organization Structure ◽  
Modern Logistics ◽  
Logistics System ◽  
Modes Of Operation ◽  
High Rise ◽  
Construction Organization ◽  
And Storage

Basing on the analysis of the enterprise (construction organization) structure and infrastructure of the entire logistics system in which this enterprise (construction organization) operates, this article proposes an approach to solve the problems of structural optimization and a set of calculation tasks, based on customer orders as well as on the required levels of insurance stocks, transit stocks and other types of stocks in the distribution network, modes of operation of the in-company transport and storage complex and a number of other factors.

scholarly journals Application of Rough Ant Colony Algorithm in Adolescent Psychology

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Tao Cong ◽  
Lin Jiang ◽  
Qihang Sun ◽  
Yang Li
Keyword(s):  
Big Data ◽  
Juvenile Delinquency ◽  
Ant Colony Algorithm ◽  
Optimization Problems ◽  
Hot Spot ◽  
Rapid Development ◽  
Ant Colony ◽  
Good Effect ◽  
Adolescent Psychology ◽  
Combinatorial Optimization Problems

With the rapid development of big data, big data research in the security protection industry has been increasingly regarded as a hot spot. This article mainly aims at solving the problem of predicting the tendency of juvenile delinquency based on the experimental data of juvenile blindly following psychological crime. To solve this problem, this paper proposes a rough ant colony classification algorithm, referred to as RoughAC, which first uses the concept of upper and lower approximate sets in rough sets to determine the degree of membership. In addition, in the ant colony algorithm, we use the membership value to update the pheromone. Experiments show that the algorithm can not only solve the premature convergence problem caused by stagnation near the local optimal solution but also solve the continuous domain and combinatorial optimization problems and achieve better classification results. Moreover, the algorithm has a good effect on predicting classification and can provide guidance for predicting the tendency of juvenile delinquency.

scholarly journals OPTIMASI RUTE PANDUAN INFORMASI LOKASI WISATA MENGGUNAKAN ANT COLONY SYSTEM PADA KOTA BATAM

2019 ◽  
Vol 2 (2) ◽  
pp. 1-13
Author(s):  
Alfannisa Annurrallah Fajrin ◽  
Delia Meldra
Keyword(s):  
Ant Colony Algorithm ◽  
Path Selection ◽  
Ant Colony ◽  
Ant Colony System ◽  
Tourist Attractions ◽  
Tourist Destinations ◽  
The People ◽  
Waterfall Model ◽  
The Cost ◽  
The City

The number of tourists visiting the city of Batam both domestic and foreign tourists to spend their vacation time because the cost of living and goods are cheaper than other areas because batam is an FTZ area (free tax Zone). So that the city of Batam has become a shopping paradise for the people around Batam or outside Batam. Batam itself has several shopping destinations and places to visit for tourists. With the abundance of tourist destinations in the city of Batam, both shopping and nature tourism, it is not uncommon for tourists to experience various problems in visiting the country, one of the simple problems experienced is the problem of time and cost efficiency in conducting tours to the city of Batam. The problem that we can solve in this research is to help tourists or tourists not experience difficulties when visiting tourist attractions in Batam by using the ant colony algorithm in efficient path selection. The Waterfall Model in SDLC is a process that will be used in this study to get the best results.

scholarly journals Research on Optimal Matching Scheme of Public Resource Management Based on the Computational Intelligence Model

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Linna Li ◽  
Renjun Liu
Keyword(s):  
Genetic Algorithm ◽  
Human Resources ◽  
Ant Colony Algorithm ◽  
Ant Colony ◽  
Time Consumption ◽  
Public Resource ◽  
Public Resources ◽  
Benefit Function ◽  
The Cost ◽  
Better Than

The management of public resources means that people’s governments at all levels and other public administrative subjects should use certain means and methods, follow certain principles, rationally allocate and utilize public resources, and maximize their functions and benefits. Under the background of limited human resources, this study adheres to the principle of maximizing the benefits of human resources and rationally allocates the use of human resources. In this study, this kind of resource allocation problem is regarded as a linear programming problem by specifying the benefit function, and then, genetic algorithm, ant colony algorithm, and hybrid genetic-ant colony algorithm are used to solve the problem; the cost and time consumption of different algorithms under different scales are evaluated. Finally, it is found that genetic algorithm is superior to ant colony algorithm when the task scale is small and the effect of genetic algorithm is lower than ant colony algorithm with the expansion of task scale, whereas the improved hybrid genetic-ant colony algorithm is better than ordinary algorithm in general.

Design of Public-Key Algorithms Based on Partial Homomorphic Encryptions

2021 ◽  
pp. 204-224
Author(s):  
Marwan Majeed Nayyef ◽  
Ali Makki Sagheer
Keyword(s):  
Homomorphic Encryption ◽  
Rapid Development ◽  
Public Key ◽  
Secret Key ◽  
Customer Information ◽  
Encrypt Data ◽  
High Processing Speed ◽  
The Cost ◽  
And Storage ◽  
High Processing

With the rapid development of cloud computing, which has become a key aspect to maintain the security of user information that may be highly confidential and maintained during transport and storage process. The reliance on traditional algorithms that are used to encrypt data are not secure enough because we cannot process the data only after decrypt. In this article is proposed the use of homomorphic encryption to solve this problem because it can deal with encrypted data without the decryption, which can lead to ensuring confidentiality of the data. A number of public-key algorithms are explained, which is based on the concept of homomorphic encryption. In this article an algorithm is proposed based on HE and it is similar to Menesez-EC but with one digit as a secret key according to its advantage, whereby reducing the cost of communication, and storage and provides high processing speed when compared with other algorithms. This algorithm provides enough security for a bank's customer information and then compared with ECC, each of RSA and Piallier algorithms as evaluated.

scholarly journals Simulated Annealing-Based Ant Colony Algorithm for Tugboat Scheduling Optimization

2012 ◽  
Vol 2012 ◽  
pp. 1-22 ◽  
Author(s):  
Qi Xu ◽  
Jun Mao ◽  
Zhihong Jin
Keyword(s):  
Simulated Annealing ◽  
Ant Colony Algorithm ◽  
Ant Colony ◽  
Scheduling Problem ◽  
Logistics System ◽  
Operation System ◽  
Multiprocessor Task Scheduling ◽  
Port Logistics ◽  
Hybrid Simulated Annealing ◽  
Three Stages

As the “first service station” for ships in the whole port logistics system, the tugboat operation system is one of the most important systems in port logistics. This paper formulated the tugboat scheduling problem as a multiprocessor task scheduling problem (MTSP) after analyzing the characteristics of tugboat operation. The model considers factors of multianchorage bases, different operation modes, and three stages of operations (berthing/shifting-berth/unberthing). The objective is to minimize the total operation times for all tugboats in a port. A hybrid simulated annealing-based ant colony algorithm is proposed to solve the addressed problem. By the numerical experiments without the shifting-berth operation, the effectiveness was verified, and the fact that more effective sailing may be possible if tugboats return to the anchorage base timely was pointed out; by the experiments with the shifting-berth operation, one can see that the objective is most sensitive to the proportion of the shifting-berth operation, influenced slightly by the tugboat deployment scheme, and not sensitive to the handling operation times.

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