scholarly journals Smart Logistics and Distribution System Based on Laser and Vision Fused SLAM Algorithm

2021 ◽  
Vol 2 (6) ◽  
Author(s):  
Like Zong
Keyword(s):  
Distribution System ◽  
Manufacturing Industry ◽  
Raw Materials ◽  
Rapid Development ◽  
Supply And Demand ◽  
User Privacy ◽  
Logistics Industry ◽  
Distribution Services ◽  
Intelligent Logistics ◽  
Logistics Process

In the context of rapid increase of the intelligence and information level in the field of industrial economy, China’s logistics industry has ushered in a stage of rapid development. Logistics and distribution services, a key sector in commodity circulation, play a significant role in the manufacturing industry and the national economy. However, there are still some problems in logistics and distribution services, as the traditional manual logistics mode still prevails, with the efficiency and information security compromised. In response to existing problems, this program aims to create an environmental protecting unmanned intelligent logistics distribution system. This system applies AGV trolley, the core product of this program, to intelligent navigation and transportation logistics. Based on the shared storage distribution path optimization model of the two-way service of supply and demand, the unmanned distribution trolley and distribution path are reasonably arranged as required by the user to deliver a great variety of raw materials and goods in information-based packaging boxes and unit cabinets to the destination on time. On the one hand, accurate logistics information becomes available as a result, which is beneficial for optimization and scheduling, so that the problem of parcel loss in logistics can be solved in general. On the other hand, users can trace the detailed logistics process in a precise manner. Furthermore, this design unit supports a highly efficient automated logistics approach, as goods of different sizes can be matched with design units with corresponding sizes, so that storage utilization is maximized, and the logistics loading and unloading process is simplified. In addition to its role in packaging, this design unit is also subject to recycling, as it protects the environment by reducing disposable packaging while protecting user privacy and optimizing user experience.

scholarly journals Estimating Warehouse Rental Price using Machine Learning Techniques

2018 ◽  
Vol 13 (2) ◽  
pp. 235-250 ◽  
Author(s):  
Yixuan Ma ◽  
Zhenji Zhang ◽  
Alexander Ihler ◽  
Baoxiang Pan
Keyword(s):  
Machine Learning ◽  
Random Forest ◽  
Real Estate ◽  
Rapid Development ◽  
Supply And Demand ◽  
Machine Learning Techniques ◽  
Gradient Boosting ◽  
Logistics Industry ◽  
Real Estate Price ◽  
Learning Techniques

Boosted by the growing logistics industry and digital transformation, the sharing warehouse market is undergoing a rapid development. Both supply and demand sides in the warehouse rental business are faced with market perturbations brought by unprecedented peer competitions and information transparency. A key question faced by the participants is how to price warehouses in the open market. To understand the pricing mechanism, we built a real world warehouse dataset using data collected from the classified advertisements websites. Based on the dataset, we applied machine learning techniques to relate warehouse price with its relevant features, such as warehouse size, location and nearby real estate price. Four candidate models are used here: Linear Regression, Regression Tree, Random Forest Regression and Gradient Boosting Regression Trees. The case study in the Beijing area shows that warehouse rent is closely related to its location and land price. Models considering multiple factors have better skill in estimating warehouse rent, compared to singlefactor estimation. Additionally, tree models have better performance than the linear model, with the best model (Random Forest) achieving correlation coefficient of 0.57 in the test set. Deeper investigation of feature importance illustrates that distance from the city center plays the most important role in determining warehouse price in Beijing, followed by nearby real estate price and warehouse size.

Current Status and Countermeasures on Informatization of Medium and Small-Sized Logistics Enterprises in China

2010 ◽  
Vol 102-104 ◽  
pp. 870-874
Author(s):  
Jun Qiang Wang ◽  
Cui Lin Zhang ◽  
Song Fei Zhang ◽  
Jian Chen
Keyword(s):  
Soft Power ◽  
Manufacturing Industry ◽  
Technology Development ◽  
Rapid Development ◽  
Current Status ◽  
Logistics Industry ◽  
Information Platform ◽  
Logistics Enterprise ◽  
Consulting Services ◽  
Logistics Enterprises

Focused on medium and small sized logistics enterprise (MSLE) in China, the characteristics are analyzed and existing issues are addressed based on the comprehensive investigation results of current levels of informatization of MSLEs covering investment, infrastructure, awareness, strategy, integration, standardization and qualified talent. Taking full consideration of China’s national situation, the development opportunities of MSLE’s informatization are discussed in terms of the powerful national informatization strategy, the key support on logistics industry, the pressing demand on logistic service generated by manufacturing industry, the intense competition among logistics software suppliers, the rapid development of public logistics information platform and advanced logistics technology development. Furthermore, the corresponding countermeasures at the aspects of enhancing soft power, utilizing external consulting services, popularizing compact and efficient information platform, keeping fast and smooth informatization construction policy, and strengthening project management and associated regulations are presented to help promote the informatization progress of MSLE in China.

scholarly journals Countermeasure Analysis on Internet Logistics

2018 ◽  
Vol 38 ◽  
pp. 01036 ◽  
Author(s):  
Shao Ying Teng ◽  
Xiao Jun Li ◽  
Zhi Zhao ◽  
Peng Lei Qin ◽  
Ya Ya Lu
Keyword(s):  
Industrial Revolution ◽  
Rapid Development ◽  
Internet Technology ◽  
The Internet ◽  
Logistics Industry ◽  
Existing Problems ◽  
New Business ◽  
Deep Integration ◽  
Intelligent Logistics ◽  
Further Development

The rapid development of Internet technology has caused a series of industrial revolution, which has provided strong impetus for economic development. The Internet + concept puts forward the deep integration between the Internet and traditional industries, which points out the direction for the development of various industries. For the logistics industry, "Internet +" provides a new way of transformation, and intelligent logistics, smart logistics and green logistics bring new business value to the logistics industry. This paper analyzes the current situation of the logistics industry in the context of Internet +, finds out the existing problems, and proposes corresponding solutions to provide the impetus for further development of the logistics industry.

TRENDS IN MINERAL COMPLEX DEVELOPMENT AT THE TURN OF THE CENTUARY

2018 ◽  
pp. 3-15
Author(s):  
A. L. Dergachev ◽  
V. I. Starostin
Keyword(s):  
World Economy ◽  
Raw Materials ◽  
Supply And Demand ◽  
Mineral Resources ◽  
Strategy Of Development ◽  
Mineral Complex ◽  
Complex Development ◽  
Mineral Commodities ◽  
Working Out ◽  
Mineral Base

Important trends in development of world's mineral complex at the beginning of the 21st century are increase of supply and demand for mineral materials differentiated for various metals and nonmetallic mineral resources, regions and countries; concentration of production of mineral commodities in small number of countries; falling availability of economic reserves of raw materials for world economy even at current level of material extraction. The tendencies should be taken into account when working out strategy of development of Russian mineral base.

Solid Waste Management on Romanian Households

2018 ◽  
Vol 68 (12) ◽  
pp. 2941-2947
Author(s):  
George Ungureanu ◽  
Gabriela Ignat ◽  
elena Leonte ◽  
Carmen Luiza Costuleanu ◽  
Nicoleta Stanciu ◽  
...  
Keyword(s):  
Waste Management ◽  
Solid Waste ◽  
Agricultural Development ◽  
Management Practices ◽  
Solid Waste Management ◽  
Raw Materials ◽  
Rapid Development ◽  
Disposal Site ◽  
Solid Waste Disposal ◽  
Factors Affecting

The problem associated with the household behavior on solid waste disposal site in today�s society is complex because of the large quantity and diverse nature of the wastes. Due increase the population, rapid development, global agricultural development has moved rapidly, limitations of financing, emerging limitations of both energy and raw materials and also add to the complexity of any waste management system, large quantities of wastes are being generated in different forms such as solid, liquid and gases. This research explored factors affecting the level of participation in solid waste segregation and recycling of households in Romania, as well as examining current Romania households waste management practices and their knowledge of waste management. This study investigated the solid waste situation and the organization of solid waste management in both urban and rural settings from the perspective of households. Solid waste management is a key component of public services which needs to serve the urban and rural municipalities in an efficient way in order to maintain a decent standard of public health.

Enterprise distribution routing optimization with soft time windows based on genetic algorithm

2021 ◽  
pp. 1-11
Author(s):  
Kaixian Gao ◽  
Guohua Yang ◽  
Xiaobo Sun
Keyword(s):  
Genetic Algorithm ◽  
Customer Satisfaction ◽  
Optimization Problems ◽  
Rapid Development ◽  
Time Windows ◽  
Theory And Practice ◽  
Routing Problem ◽  
Logistics Industry ◽  
Routing Optimization ◽  
A Company

With the rapid development of the logistics industry, the demand of customer become higher and higher. The timeliness of distribution becomes one of the important factors that directly affect the profit and customer satisfaction of the enterprise. If the distribution route is planned rationally, the cost can be greatly reduced and the customer satisfaction can be improved. Aiming at the routing problem of A company’s vehicle distribution link, we establish mathematical models based on theory and practice. According to the characteristics of the model, genetic algorithm is selected as the algorithm of path optimization. At the same time, we simulate the actual situation of a company, and use genetic algorithm to plan the calculus. By contrast, the genetic algorithm suitable for solving complex optimization problems, the practicability of genetic algorithm in this design is highlighted. It solves the problem of unreasonable transportation of A company, so as to get faster efficiency and lower cost.

scholarly journals Opening Up Transactive Systems: Introducing TESS and Specification in a Field Deployment

Energies ◽  
2021 ◽  
Vol 14 (13) ◽  
pp. 3970
Author(s):  
Marie-Louise Arlt ◽  
David P. Chassin ◽  
L. Lynne Kiesling
Keyword(s):  
Power Systems ◽  
Distribution System ◽  
Supply And Demand ◽  
System Level ◽  
Market Mechanisms ◽  
Bidding Strategies ◽  
Incentive Problems ◽  
Tariff Structures ◽  
Field Deployment ◽  
Residential Demand

Transactive energy systems (TS) use automated device bidding to access (residential) demand flexibility and coordinate supply and demand on the distribution system level through market processes. In this work, we present TESS, a modularized platform for the implementation of TS, which enables the deployment of adjusted market mechanisms, economic bidding, and the potential entry of third parties. TESS thereby opens up current integrated closed-system TS, allows for the better adaptation of TS to power systems with high shares of renewable energies, and lays the foundations for a smart grid with a variety of stakeholders. Furthermore, despite positive experiences in various pilot projects, one hurdle in introducing TS is their integration with existing tariff structures and (legal) requirements. In this paper, we therefore describe TESS as we have modified it for a field implementation within the service territory of Holy Cross Energy in Colorado. Importantly, our specification addresses challenges of implementing TS in existing electric retail systems, for instance, the design of bidding strategies when a (non-transactive) tariff system is already in place. We conclude with a general discussion of the challenges associated with “brownfield” implementation of TS, such as incentive problems of baseline approaches or long-term efficiency.

scholarly journals The Dynamic Impacts of the COVID-19 Pandemic on Log Prices in China: An Analysis Based on the TVP-VAR Model

Forests ◽  
2021 ◽  
Vol 12 (4) ◽  
pp. 449
Author(s):  
Chenlu Tao ◽  
Gang Diao ◽  
Baodong Cheng
Keyword(s):  
Exchange Rate ◽  
Structural Changes ◽  
Raw Materials ◽  
Supply And Demand ◽  
Oil Prices ◽  
Control Measures ◽  
Var Model ◽  
Time Varying ◽  
Wood Industry ◽  
The Impact

China’s wood industry is vulnerable to the COVID-19 pandemic since wood raw materials and sales of products are dependent on the international market. This study seeks to explore the speed of log price recovery under different control measures, and to perhaps find a better way to respond to the pandemic. With the daily data, we utilized the time-varying parameter autoregressive (TVP-VAR) model, which can incorporate structural changes in emergencies into the model through time-varying parameters, to estimate the dynamic impact of the pandemic on log prices at different time points. We found that the impact of the pandemic on oil prices and Renminbi exchange rate is synchronized with the severity of the pandemic, and the ascending in the exchange rate would lead to an increase in log prices, while oil prices would not. Moreover, the impulse response in June converged faster than in February 2020. Thus, partial quarantine is effective. However, the pandemic’s impact on log prices is not consistent with changes of the pandemic. After the pandemic eased in June 2020, the impact of the pandemic on log prices remained increasing. This means that the COVID-19 pandemic has long-term influences on the wood industry, and the work resumption was not smooth, thus the imbalance between supply and demand should be resolved as soon as possible. Therefore, it is necessary to promote the development of the domestic wood market and realize a “dual circulation” strategy as the pandemic becomes a “new normal”.

scholarly journals Healthcare Facility Location-Allocation Optimization for China’s Developing Cities Utilizing a Multi-Objective Decision Support Approach

2018 ◽  
Vol 10 (12) ◽  
pp. 4580 ◽  
Author(s):  
Li Wang ◽  
Huan Shi ◽  
Lu Gan
Keyword(s):  
Heuristic Algorithms ◽  
Programming Model ◽  
Rapid Development ◽  
Supply And Demand ◽  
Healthcare Facility ◽  
Allocation Model ◽  
Location Allocation ◽  
Multi Objective ◽  
Conflicting Objectives ◽  
Allocation Problems

With rapid development of the healthcare network, the location-allocation problems of public facilities under increased integration and aggregation needs have been widely researched in China’s developing cites. Since strategic formulation involves multiple conflicting objectives and stakeholders, this paper presents a practicable hierarchical location-allocation model from the perspective of supply and demand to characterize the trade-off between social, economical and environmental factors. Due to the difficulties of rationally describing and the efficient calculation of location-allocation problems as a typical Non-deterministic Polynomial-Hard (NP-hard) problem with uncertainty, there are three crucial challenges for this study: (1) combining continuous location model with discrete potential positions; (2) introducing reasonable multiple conflicting objectives; (3) adapting and modifying appropriate meta-heuristic algorithms. First, we set up a hierarchical programming model, which incorporates four objective functions based on the actual backgrounds. Second, a bi-level multi-objective particle swarm optimization (BLMOPSO) algorithm is designed to deal with the binary location decision and capacity adjustment simultaneously. Finally, a realistic case study contains sixteen patient points with maximum of six open treatment units is tested to validate the availability and applicability of the whole approach. The results demonstrate that the proposed model is suitable to be applied as an extensive planning tool for decision makers (DMs) to generate policies and strategies in healthcare and design other facility projects.

Recovery Value Metals from Mixed Spent Li-Ion Batteries

2014 ◽  
Vol 540 ◽  
pp. 267-271
Author(s):  
Xin Liu ◽  
Lin Yan Li ◽  
Fan Yun Zeng ◽  
Xue Jun Wang ◽  
Sheng Ming Xu
Keyword(s):  
Solvent Extraction ◽  
Raw Materials ◽  
Low Cost ◽  
Rapid Development ◽  
Li Ion Batteries ◽  
Active Materials ◽  
Solid Ratio ◽  
Li Ion ◽  
Leaching Condition ◽  
Addition Amount

With the rapid development and wide application of Li-ion batteries, cathode materials containing value metals Co, Ni and Mn are blended by several kind of metal oxide presently for pursuing high safe stability and low cost. The composition of spent Li-ion batteries has become complicated and optimum leaching condition varied. In this paper, leaching process for the mixture of pure LiCoO2and Li (Ni1/3Co1/3Mn1/3)O2was studied. With an increase in component of LiCoO2in mixed materials, the optimum leaching condition varied as: temperature from 60°C to 90°C, H2O2addition amount from 0.54 to 0.75ml/g and liquid-solid ratio from 10 to 20. According to this result, a real mixed spent batteries materials was recovered by being leached in 2M H2SO4at temperature of 90°C, liquid-solid ratio 20 and 0.6ml/g H2O2added. The leaching efficiencies of Co, Ni, Mn, Li were 96.88%, 93.71%, 92.12%, 99.43% respectively. Cu, Al and Fe in solution were removed by precipitation and solvent extraction. Finally, Ni, Co, Mn were extracted by D2EHPA for separating with Na+and other impurities, which is used as a raw materials for preparation of cathode active materials in batteries.

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