Today, modern logistics and transportation as a whole still have many problems such as high cost, low efficiency, and poor service quality. This article aims to improve the efficiency of various logistics departments. In order to explore the role of high-strength steel wires as carbon nanotubes in the construction of digital logistics systems, this article saves manpower and management costs in the logistics process and effectively manages information transportation and operating costs by sensing and controlling automated processing and operating procedures. It can effectively solve technical problems and create a complete logistics system that meets product needs. The results of the study show that through the transformation of traditional logistics through carbon nanotubes, the efficiency of digital logistics is relatively stable, with an average value of about 2.5, which takes more than 30% less time than traditional logistics.
In today’s rapid economic development, the degree of competition faced by enterprises continues to expand. Enterprises hope that by requiring logistics service providers to solve logistics problems from a higher level and a higher perspective, logistics services will be transformed from specific vehicle management integration and supply chain management services to integrated and optimized logistics services, thereby further reducing logistics costs. The design of logistics and supply chain systems includes logistics integration technology, integration technology, publicity, and global expansion capabilities. In addition to traditional supply chain management, smart logistics can also provide enterprises with complete supply chain management services.
In order to effectively prevent the harm caused by electromagnetic waves, people have also taken corresponding measures. Carbon nanotubes (CNT) and carbon fibers (CF) are also widely used in microwave receiving hybrid materials due to their excellent properties. However, CNT/CF hybrid applications have current problems. For example, CF has shortcomings such as low surface area, poor surface polarity, and lack of effective working groups, resulting in poor interface performance and difficulty in exerting its excellent characteristics.
Tamás believed that in logistics, energy efficiency and environmental issues have been largely ignored. In the traditional supply chain, the goal of improving energy efficiency is to target a single part of the value creation chain. The article introduces the mathematical model of the last mile delivery problem, including scheduling and allocation problems. The goal of this model is to determine the optimal allocation and scheduling of each order to minimize energy consumption and thereby improve energy efficiency [1]. Kirch described a way to define such smart logistics zones in the article. As an example of the application of the smart logistics area, two basic use cases of RFID are described. This shows the potential of using smart logistics technology. One example focuses on RFID tags for prototype parts in the automotive industry. Another example describes the use case and method of integrating RFID for pallet management applications [2]. Trab et al. introduced the influence and advantages of communication objects in intelligent logistics. The related deployment of intelligence in the warehouse management system led to the proposal of a new concept called “security zone controlled by the Internet of Things.” As the communication object, our contribution is to bring information, communication, and decision-making capabilities close to the physical world of storage. This makes it possible to achieve safety assurance while reducing decision-making delays and improving the resolution of local and dynamic interruptions, while avoiding the inherent shortcomings of the centralization of the warehouse management system [3]. Karakikes and Nathanail believed that current smart logistics solutions may be questioned unless appropriate evaluations are made during or after the implementation of these solutions to compare the impact. This research helps to demonstrate the current state of practice of smart logistics solution modeling for cities. The simulation technology of the freight solution provides a roadmap and improves knowledge around the current pattern to be followed [4]. Bogoyavlenska et al. called for management innovation and the use of “liquidity gap” as one of the most discussed economic issues, which are necessary for urban areas and require the development of appropriate solutions. The proposal is to use intelligent logistics to establish an effective personnel management system for innovative small and medium-sized enterprises to amplify the weight of cluster units [5]. Midaoui et al. proposed a new intelligent logistics method to provide a better drug pull system for the healthcare sector, provide suitable locations for new pharmacies by using clustering methods, and use genetic algorithms for multisite vehicle routing and scheduling. This method provides results with minimal computing power and resources and less computing time [6]. Leyerer et al. developed and discussed an optimization method to help plan electronic grocery delivery in smart cities and introduce a new last mile concept to the urban food supply chain. A multilevel optimization model is proposed, which minimizes the overall situation while continuously determining the optimal grocery locker location, the truck route from the warehouse to the opened locker, and the ECB route from the locker to the customer. Cost: these studies provide a certain reference for this article, but the relevant research data sample is small, the time span is insufficient, and the conclusion cannot be recognized [7].
On this basis, rooted in theoretical methods and methods, we studied the various elements of the intelligent logistics system and formed a set of understanding of the system and the intelligent logistics system on the basis of respecting the literature and general conditions. Finally, we use the method model to analyze and evaluate whether the intelligent logistics system embedded in the object is reasonable and make relevant policy recommendations.
The supply chain evolved from the concept of mass production, which means that in today’s market competition, manufacturing is not just a single company’s business venture and its scope has been expanded [8, 9]. Similarly, the supply chain also extends production services to product and service sales, which means that customers are also involved in the supply chain [10].
As an enterprise supply chain company, its development has gone through many different stages. Initially, the cooperation distance between companies is relatively small, which is related to traditional business relationships. The company management pays attention to technology and management innovation and improves corporate capabilities through innovation [11]. With the development of the financial system, the company’s cooperative relationship began to maintain logistics relations, while the company’s focus is on processing and technology research and development. With the intensification of market competition, the distance between enterprises is getting closer and closer, and it is no longer the competition between individual enterprises but the competition of various supply chains [12, 13]. Therefore, supply chain companies have also established partnerships through partnership strategies, and through strategic partnerships in the supply chain, they can consolidate production capacity, improve efficiency, enhance responsiveness, and gain a competitive advantage in the market [14]. The development history of supply chain partnerships is shown in Figure 1.
The supply chain is a system that includes suppliers, manufacturers, transshipment, retailers, and customers. Supply chain management refers to the many functions and processes of planning, packaging, running, managing, and optimizing the entire supply chain system [15]. Obviously, supply chain management is an integrated strategic management model. It needs to be a member company of the supply chain system to cope with the complex and changeable situation of the external market [8, 16].
Through the incoming material inspection and recording of the quality data related to the inspection, the manufacturer’s quality calculation report can finally be obtained [17]. In this report, the quality of suppliers can be analyzed and calculated to provide a reliable basis for the purchasing department to provide incentives or exemptions for the quality of suppliers to ensure quality of suppliers. The incoming inspection process is shown in Figure 2.
Intelligent information network technology uses the human way, machine-machine collaboration, and human-machine-related processes, and the user’s use will not be restricted by the computer network. This technology can fully and intelligently explain user queries [18]. Understanding and application allow users to find and access the information they need anytime, anywhere, in any way. Intelligent information technology can work closely with the entire system, can make full use of common key concepts and processes, effectively integrate into shared and local computer resources through simulation and power technology, and register intelligent information as soon as possible [19]. Through this plan, the resources and services required by any application can be provided in practice to determine the purpose of information and knowledge exchange in the community.
The content management supply chain also includes the control of information flow and capital flow within the supply chain [20, 21]. In supply chain management services, although logistics management is the main content, information flow management in the supply chain is the basis of logistics management. It is a major guarantee to ensure the smooth progress of logistics management. As more and more companies regard supply chain management as a means of management process management, the content of supply chain integration is also changing, from pure logistics to integrated information flow and capital logistics. Achieving higher efficiency, value, and knowledge flow is a combination of in-depth technical tools such as technology, performance, and added value [22]. The organizational structure of the supply chain is shown in Figure 3.
The function of the perception layer is mainly to transmit user information, employee information, manager information, product information, and other information that may affect the logistics platform, such as employees, luggage, and location, to the database or Internet server. Technical objects: the perception of the intelligent logistics system level is mainly the data collection level and the access level. The data loading layer mainly uses application technologies such as sensors, barcodes, and RFID pointers that have Internet-based loading characteristics. Then download the service through the primary network, use a mobile network, wireless network, or wired network to spread to the global Internet of Things network.
Smart logistics systems are mainly used to transfer order, payment, and cargo log management from offline services to the Internet through the Internet of Things technology. The platform does not include IoT technology but uploads photos and text descriptions to register and distribute products. The intelligent logistics operating system uses the Internet of Things technology, and each product has a unique identity. Similar products have similar appearance and specifications. The weights are not easy to confuse. With the advanced development of the Internet of Things technology, the GPS positioning system can mark luggage or unique ID on the luggage. Data, logistics system, and logistics location will provide strong data support in the future.
Carbon nanotube is a black, nonabrasive one-dimensional quantum material with a melting point of 3,600 degrees Celsius and is in powder form. As a nano-sized one-dimensional material, carbon nanotubes have unusual mechanical, electrical, and chemical properties. Carbon nanotubes are formed from rolled graphene sheets, so carbon nanotubes have good electrical conductivity. Carbon nanotubes can be divided into single-walled carbon nanotubes and multiwalled carbon nanotubes according to the number of curved graphene sheets. Multiwalled carbon nanotubes usually have small defects, such as holes. This is because the trapping center is formed to prevent different defects between the multiwalled carbon nanotube layers. Multiwalled carbon nanotubes have good flexibility and strength. Unlike multilayered carbon nanotubes, single-walled carbon nanotubes have better bonding due to their fewer diameters and small defects [23].
The carbon nanotube film used in the experiment is a silver carbon nanotube. Here, we directly quote the existing absorption curve of carbon nanotubes. It can be seen from the data in Figure 4 that it has good absorption in the ultraviolet region. This is determined by the physical properties of the carbon nanotubes themselves. The advantage of these properties is that we do not need to leave ultraviolet-absorbing materials outside the carbon nanotubes to help as a mask. It can be used for flat plate lithography, which not only reduces the complexity of the process but also increases the relative size of carbon nanotubes because the outer layer of carbon nanotubes is coated with other materials, which reduces the resolution during exposure.
Carbon nanotube films are used to replace metallic chromium in photolithography, but quartz plates are also required as substrates. Choosing a quartz plate can help the material of the mask; moreover, because the roughness of the quartz surface is very small, it will cause surface irregularities and reduce the resolution. In addition, quartz has very low absorption of the commonly used 365 nm ultraviolet light. In order to make the carbon nanotube film tightly combined with the quartz substrate and be attached to the quartz substrate, it can be cured and used as photolithography for projection. The design idea of this material is to use more and more carbon nanotubes as the covering layer left by electron evaporation. At the same time, in order to ensure that the carbon nanotube array does not swim in the substrate during the electron beam evaporation deposition, the parallel carbon nanotube sequence must be separated from the surface of the substrate by a certain distance. This is also done to remove carbon.
First, a layer of photoresist electron beam layer is coated on the substrate, and then the solar nanotube layer is transferred to the electron beam photoresist layer, and then the electron photolithography method of vertically oriented array imaging line is applied. In this way, after developing the basic photoresistor, we will get the prefabricated circuit path. The carbon nanotube array is not removed by the programmer but is protected by a photoresist on both sides of the circuit in a suspended state. Therefore, it can be used as a covering structure for electron beam evaporation deposition. After deposition, it is removed as a whole together with the degreasing solution of the photoresist underneath, and finally, a nanostructured matrix with the morphology of carbon nanotube arrays is retained.
The classic programming technology is mature in the algorithm, but in the specific solving process, because the model must be flexible, the method is unique, and the application length is narrow. The performance is very unsatisfactory. Release integration and improve complex logistics capabilities and uncertainties, such as delivery time and item delivery status, which are uncertain.
The proposal proposes to support third-party logistics companies to rely on the construction of supply chain management to support the implementation of supply chain management tasks. This is considered to be the biggest problem faced by third-party logistics companies in supply chain management today, that is the problem of information integration. The characteristics of information integration in the chain, integration, and scalability can solve the problems of integrated information flow and information transmission delay between supply chains.
In order to solve the problem of custom configuration, this document adopts the form of fuzzy clustering theory. To construct a complex table, you must configure sample data in advance, compress the sample data in the center [0, 1], first calculate the mean and standard deviation of the m indicators of the sample, and then calculate the original to standardize the data value, and use the standard size value pair [0, 1]. The data measurement in the closed interval is compressed and then normalized.
The fuzzy matrix R formed by , namely,
Then, all n samples can be represented as in matrix form, and all sample information is contained in matrix R. Therefore, R is the basis for analyzing sample characteristics.
Taking the threshold value for the fuzzy similarity matrix R, the λ−cutting matrix can be obtained, where
In the process of falling from 1 to 0, the degree of similarity increases, that is, from each element of the sample in one category to all elements in one category.
The following formula is the relational expression of kinetic energy Ek and temperature T:
The following is the relational expression of speed vi and temperature T:where is the velocity of the particles, is the expected value of temperature, and T(t) is the value at time t.
The thermal bath method was proposed by researchers. The idea of controlling the temperature is in touch with the idea of a constant temperature thermal bath. Its expression is
The motion expression of this hot bath method is as follows:
In the formula, F represents the force received by the particle, p represents the momentum of the particle, represents the expected value of temperature, represents the temperature value when the temperature is t, represents the thermal bath relaxation coefficient, and represents the thermal bath damping coefficient.
Similar to temperature regulation technology, pressure regulation technology is to regulate the pressure of the system. Its pressure expression at any time is as follows:
Its formula is as follows:
Regarding the formula as a constant coefficient differential equation, the displacement of the structure can be used to approximate the velocity and acceleration of the structure through a finite difference expression. One of the most effective solutions is the central difference method. The method assumes that
Based on the above formula, we can get
The theoretical basis of the finite element method is the weighted residual method and the variational method. The weighted margin method commonly used includes the configuration method, the least square method, the moment method, and the Galerkin method, among which the Galerkin method is the most widely used. The variational method is aimed at solving the continuum problem. For the functional of the unknown function, there are
In the formula, u is an unknown function; F is a specific operator; E is a specific operator.
At the same time, the interaction and integration of heterogeneous information, the tracking, and management of networked information, and the communication, sharing, and coordination of dispatching resources are all problems that the intelligent logistics system must face, and the general classical dispatching theory cannot solve this problem well.
In order to observe the structure of gold nanowires wrapped by carbon nanotubes in detail, we calculated the radial density distribution of gold nanowires. The calculated structure shows that the gold nanowires wrapped by carbon nanotubes become a layered structure after melting and solidification, as shown in Figure 5.
With the gradual increase in the cross-sectional radius of the gold nanowires, the maximum stress changes between the gold nanowires wrapped by carbon nanotubes and the free-state gold nanowires are not large. The maximum stress of gold nanowires wrapped by carbon nanotubes is about 2.8–3.7 GPa, and the maximum stress of free-state gold nanowires is about 4.1–4.6 GPa.
We compared the elastic modulus of gold nanowires wrapped with carbon nanotubes and the elastic modulus of free-state gold nanowires with the change in the cross-sectional radius. The results are shown in Figure 6.
It can be seen that although the maximum stress of gold nanowires prepared under carbon nanotube coating is less than the maximum stress of free-state gold nanowires, the elastic modulus of gold nanowires wrapped by carbon nanotubes is greater than that of free-state gold nanowires. The amount, that is, the ability of gold nanowires prepared under the encapsulation of carbon nanotubes to resist elastic deformation, is greater than that of gold nanowires prepared in a free state. This indicates that the maximum stress of gold nanowires wrapped by carbon nanotubes is not much different from that of free-state gold nanowires, but the toughness of carbon nanotubes-wrapped gold nanowires is greater than that of free-state gold nanowires.
We analyzed the stress-strain relationship of carbon nanotubes at different temperatures. As shown in Figure 7, the stress of carbon nanotubes at different temperatures is different.
In the elastic deformation stage, the elastic modulus of carbon nanotubes is continuously decreasing with the increase in temperature, which indicates that the ability of carbon nanotubes to resist elastic deformation is continuously decreasing with the increase in temperature. It can be seen that temperature reduces the toughness of carbon nanotubes.
The main problems in the reclaiming link are invalid walking, secondary handling, and unquantified transportation; the main problems in the installation and insertion link are the fixed positioning of raw materials and irregular marking; the main problems in the wave soldering link are the use of hazardous chemicals, fixed positioning, and hygiene. In terms of division of responsibilities, the main problems in the subboard inspection and postwelding links are nonstandard welding tools and nonstandard positioning of the workbench; the main problems in the test link are the positioning and positioning of the test bench and the needle bed, and the division of working and nonworking areas; the specific data and existing problems of the working area are shown in Tables 1 and 2.
In the actual implementation of the algorithm, the setting of the control parameters involved in the algorithm not only needs to ensure the optimal effect of the calculation result but also needs to obtain the calculation result in the fastest time. In this experiment, by keeping the size and path of the loading container unchanged, changing the maximum number of iterations G, respectively, set to 10, 20, 30, and 50, the results obtained are shown in Table 3.
It can be seen that when the crossover result is too small, the requirements for the initial population solution are higher; otherwise, the probability of obtaining the optimal solution is relatively low. When the crossover probability increases, the algorithm searches in the global area, and it is easier to obtain the optimal solution, but when the crossover probability is 1, it is easy to destroy the original group and cause the group to develop in a bad direction. Therefore, the effect is better when the crossover probability is around 0.8.
We built carbon nanotubes on existing logistics and compared the changes in efficiency before and after. The results are shown in Figure 8.
From the comparison of these two weeks, it can be seen that the logistics of traditional materials has increased over time, and the efficiency has been continuously reduced. The logistics of carbon nanotubes used in this article has relatively stable efficiency, with an average value of about 2.5, compared with traditional materials. The time spent on logistics is more than 30% lower.
Investment in materials and infrastructure should be increased, internal storage, capacity, and hard tags can be increased, all available social network resources and products should be fully utilized, and an intelligent logistics information platform should be invested vigorously. Therefore, a service platform was used to integrate as much commercial logistics information as possible in the park to form a complete information system.
Through the research and evaluation of the four components of laboratory management, laboratory scheduling, application packaging design, and application distribution system, the problems of laboratory hardware, as well as different processes and methods, are studied in the system and summary. Find out a set of smart logistics management and control solutions suitable for the company’s first workshop, saving production costs, improving logistics operation efficiency, expanding competitive advantages, and having universal applicability in the production process of related manufacturing workshops.
The endless connection between flow and business flow can actually be the complete integration of internal resources into the supply chain. Third-party logistics operators can connect their systems to the intelligent network information system in the supply chain, receive and process information in the supply chain anytime, anywhere, determine the basis for integrating the information flow of the supply chain, and integrate supply chain management services.
In the treatment of nanostructures, carbon nanotubes are used as additives. The unique physical properties of carbon nanotubes can overcome the limitations of experiments and exceed the limits of conventional nanostructures. Using the physical properties of carbon nanotubes to emit ultraviolet light, combined with the large surface area of the carbon nanotube film, the carbon nanotube film is used to make an ultraviolet lithography plate. It has been proved by science and experiment that it can be used in the process of exposure to ultraviolet radiation. Through experiments to find the conditions of exposure to ultraviolet radiation under the available conditions, the final result is nearing completion. In addition, we also analyzed the physical properties of the hydrophobic surface. By modifying the surface properties, we obtained the modification of hydrophobic properties of the surface and achieved optimized results. This result is similar to the morphology of the carbon nanotube film. Finally, the continuous process of the detected carbon nanotube film is used to transfer the carbon nanotube film through etching and provide a hydrophobic base.
The effects of temperature and accumulation rate on the tensile properties of carbon nanotube-coated gold nanowires were studied. The study found that as the temperature increases, the elastic modulus and maximum density of gold nanowires coated with carbon nanotubes gradually decrease. The study found that with the gradual increase of the loading rate, the maximum concentration of gold nanowires wrapped in carbon nanotubes increased steadily. In elastic deformation, the elastic modulus does not change with the change in tensile loading rate.
This article reveals the deformation mechanism of carbon tubes by analyzing the radial density function and stress-strain curve. In the simulation process, the carbon nanotubes are melted and solidified, and then the mechanical properties of the carbon nanotubes are analyzed. Based on the analysis of the connotation and characteristics of the supply chain, a supply chain architecture is established based on the generalized modeling decomposition—combined modeling method, including the overall structure of the supply chain, functional views, organizational views, information views, resources view, and process view. The technical basis, implementation objects, research content, and objectives of the reverse supply chain are given, and the research content of each part is explained, which provides a theoretical basis for the systematic research and application of the supply chain. Of course, the research in this article also has some shortcomings. At present, carbon nanotubes are used as a mask for evaporation, and the position of carbon nanotubes cannot be determined and can be considered as a random distribution. Therefore, in future research, we still need to conduct more analysis and research on the influence of carbon nanotubes with different structures, and more accurate results have been obtained.
No data were used to support this study.
The authors declare that there are no conflicts of interest in this study.
This work was supported by the Development Foundation Project of the Shanghai University of Finance and Economics Zhejiang College “A study of supply chain cost sharing contract considering low carbon Publicity level” (2021GR005); soft science project of the Henan Science and Technology Department “Research on internal mechanism and realization path of digital economy enabling high-quality development of Henan Manufacturing Industry”(222400410531); and Young Teachers Key Project of Henan Education Department “Study on Modern Logistics Development Mode of Nylon City in Pingdingshan”(2019).
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