锂电池化成库双工位堆垛机路径优化研究

随着锂电池行业的发展,锂电池物流已成为锂电行业的重要组成部分。而立体仓库是锂电物流的核心,堆垛机作为立体仓库的主要搬运工具,其搬运的效率直接影响立体仓库的整体效率。本文以锂电池化成库为例,对化成库中双工位堆垛机存取货路径进行研究。结合双工位堆垛机存取货特点,提出以堆垛机运行总路程为优化目标的模型,并采用遗传算法对模型进行优化仿真。最后对仿真结果及优化前的最邻存取货策略和随机存取货策略进行对比分析,结果说明遗传算法能有效的实现双工位堆垛机的路径优化,是提高立体仓库出入库效率的一种有效方法。

Archaeal and bacterial communities in acid mine drainage from metal-rich abandoned tailing ponds, Tongling, China

To expand knowledge on microbial communities of various metal-rich levels of mine drainage environments in Anhui province, China, the archaeal and bacterial diversities were examined using a PCR-based cloning approach. Eight acid mine water samples were collected from five areas in Tongling. Phylogenetic analyses revealed that bacteria mainly fell into ten divisions, which were Betaproteobacteria, Gammaproteobacteria, Alphaproteobacteria, Deinococcus-Thermus, Nitrospira, Firmicutes, Actinobacteria, Deltaproteobacteria, Bacteroidetes, Chloroflexi. Archaea fell into three phylogenetic divisions, Thermoplasma, Ferroplasma and Thermogymnomonas. The unweighted pair group method with arithmetic mean（UPGMA） cluster analysis based on the microbial communities’ compositions revealed that five samples shared similarity with the dominance of Meiothermus and Thermomonas. Two samples had the preponderant existence of Acidithiobacillus and Leptospirillum. The remaining sample owned higher microbial communities’ diversity with the Shannon-Weaver H up to 2.91. Canonical correlation analysis（CCA） suggested that microbial community structures had great association with p H and the concentration of Hg2＋, Pb2＋, Fe3＋, Cl-, SO2- 4in water.

Demand change detection and inventory costs minimization

To minimize the inventory costs of detecting demand change, an acceptance/rejection method （ threshold） is proposed. The proposed threshold can be identified by the newsvendor based on the excess cost, the shortage cost, the transitional probability of the demand change, and the magnitude of the demand change. Compared with the single exponential smoothing method, it is proved that the proposed method can save many more inventory costs when detecting a step change in demand. By analyzing the proposed method, it shows that as the magnitude of step change increases, the supply chain members turn to synchronously judge a step change, and as excess （ shortage） cost increases, a newsvendor tends to respond slowly （early） to an increase in demand and responds early （slowly） to a decrease in demand. Observations from this study suggest that supply chain members should pay careful attention to different profit-margin products and different magnitude demand changes in cooperating and sharing demand information with others.

Characterization of NOM and THM formation potential in eutrophic reservoir water

Resin adsorption technique with XAD-8 and XAD-4 was used to characterize the raw water from Erlong reservoir in Jilin province of China. The NOM chemical composition sequences of four organic fractions in the raw water, from high to low, are fulvic acid （FA） fraction, hydrophilic non-acid （HPINA） fraction, hydrophilic acid （HPIA） fraction, and humic acid （HA） fraction. Experimental results show that FA is the main precursor of THMFP among the four organic fractions. However, HA or hydrophobie acid exhibits the highest chlorination activity in forming THMs. It is also found that the value of FI/DOC or SUVA and the specific THMFP have better positive correlation. It is implied that certain source water has unique nature of NOM and DBPs.

Bibliometric analysis of synthetic phenol antioxidants in marine environment based on CNKI database

To investigate the application of synthetic phenolic antioxidants in marine research by bibliometrics analysis.Papers on the theme of synthetic phenolic antioxidants(N=135)was retrieved from the database of China National Knowledge Infrastructure(CNKI),and the bibliometrics analysis was carried out in terms of article trend and keywords.Results show that the output of literature in this field has grown steadily and rapidly in the past 8 years.64.4%of the papers were published in the past 5 years.The relevance of research topics has increased in recent years.Current researches mainly focus on spatial and temporal distribution characteristics,metabolites and optimized detection methods.The analysis of its metabolites is helpful to understand the development of integrated microorganisms in Marine research.

Simulation of Shipping Size Effects for Transportationand Oder Quantity in a Supply Chain

This paper investigated the interaction effects between inventory and transportation strategies in the logistics network. Demand volumes and shipping sizes were simulated as part of a new conceptual model using a discrete event simulation by minimizing the total logistics cost in the supply chain. The experiments indicate that the full truckload scenario leads to cost efficiency and the larger demand size results in smaller cost per unit based on economies of scale. Considering the interaction effects, demand size has a greater impact on cost reduction than shipping size. The total logistics cost in the system is dependent on replenishment rate and flow rates from the higher to the lower echelon. High inventory cost is the result of a fast replenishment rate and frequent orders, while shipping cost is dependent on the flow rates in a process and total travelling time or total travelling distance. Shipping size also has an impact on the level of service and the total cost along with effective order variability.

Rational design and functional evolution of targeted peptides for bioanalytical applications

The complicated, highly dynamic and diverse nature of biosystems brings great challenges to the specific analysis of molecular processes of interest. Nature provides antibodies for the specific recognition of antigens, which is a straight-forward way for targeted analysis. However, there are still limitations during the practical applications due to the big size of the antibodies, which accelerate the discovery of small molecular probes. Peptides built from various optional building blocks and easily achieved by chemical synthetic approaches with predictable conformations, are versatile and can act as tailor-made targeting vehicles.In this mini review, we summarize the recent developments in the discovery of novel peptides for bioanalytical and biomedical applications. Progresses in peptide-library design and selection strategies are presented. Recent achievements in the peptide-guided detection, imaging and disease treatment are also focused.