Intelligent Measurement and Monitoring of Carbon Emissions for 5G Shared Smart Logistics

With the upgrading of logistics demand and the innovation of modern information technology, the smart logistics platform integrates advanced concepts, technologies, and management methods, maximizes the integration of logistics resources and circulation channels, and effectively improves the efficiency of logistics transactions, but its energy consumption problem is particularly prominent. The study of intelligent measurement and monitoring of carbon emissions in smart logistics is of great value to reduce energy consumption, reduce carbon emissions in buildings, and improve the environment. In this paper, by comparing and analyzing the accounting standards of carbon emissions and their calculation methods, the carbon emission factor method is selected as the method to study the carbon emissions of the smart logistics process in this paper. The working principle of each key storage technology in the smart logistics process is analyzed to find out the equipment factors affecting the carbon emission of each storage technology in the smart logistics process, and the carbon emission calculation model of each key storage technology is established separately by using the carbon emission factor method. Meanwhile, according to the development history of energy consumption assessment, the assessment process of different stages from logistics storage energy consumption assessment to smart logistics energy consumption assessment is analyzed, and based on this, a carbon emission energy consumption assessment framework based on 5G shared smart logistics is constructed. This paper applies the supply chain idea to define the smart logistics supply chain, constructs a conceptual model of the smart logistics supply chain considering carbon emissions, and at the same time combines the characteristics of the smart logistics supply chain to analyze the correlation between the carbon emissions of the smart logistics supply chain and the related social, environmental, and economic systems.

Readiness and Stakeholders Influence for Halal Logistics Practices Implementation towards Supply Chain Performance

Halal industry is expanding worldwide, and it requires strong supply chain management to enhance halal business efficiency and preserve credibility through halal logistics process. However, studies on halal logistics remain limited and isolated. Thus, this study aimed to understand the impact of stakeholders on halal logistics practices among Malaysian halal-certified manufacturers. The primary objectives of this study are to examine the underlying dimensions of halal logistics practices, investigate the level of halal logistics practices, investigate the extent of stakeholders' influence on halal logistics practices, and explore the relationship of halal logistics practices towards supply chain performance. Based on the data collected through a questionnaires survey from 270 managers from halal-certified manufacturers, SPSS and SmartPLS were used to test the hypotheses. The findings of the study indicated that operational dimensions are the most practiced dimensions of halal logistics amongst firms. Meanwhile, competitors, government, NGOs, community media and society, and customers significantly influence the adoption of halal logistics practices. Importantly, halal logistics practices are positively related to supply chain performance. This study has extended the feasibility of stakeholder theory in the sense of halal logistics to the scope and comprehensiveness of stakeholders. The outcome of this study provides important implications to both academics and practitioners, particularly in the halal industry.

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

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.

Structural Analysis and Specific Features of Logistics Lexemes

In this research paper, we aimed to analyze the basic methods of lexeme generation in the English transport logistics term system. That is the main task to identify the basic models of one-component and multi-component lexemes of the studied term system and to give a clear scientific conclusion about the effective method. One of the modern and rapidly evolving types of economy is logistics. The logistics approach allows increasing the performance and distribution of goods, increasing efficiency, reducing costs, and ensuring the quality of services. An integral part of the transport sector is an integral part of the entire logistics process. High-quality organization of supply chains requires continuous operation of all components of the process. Thus, transport logistics is a separate and independent field, which is inextricably linked with the rest of the industry.

Intensity of logistics processes of production

Increasing the intensity of the production process is directly related to improving the quality of human life. Today, there is a need for a quick and flexible response to changing consumer priorities. The solution to this complex problem is taken over by logistics. The logistics process is a sequence of operations that are organized in a certain way in time, allowing you to achieve your goals. The subject of the study of the logistics process is the organization, coordination, and optimization of the movement of material and related flows. The structure of the logistics process includes the following links: natural resources; mining; recycling; storage; distribution; transpor- tation of products. A simulation model of the logistics chain consisting of the above-listed links has been devel- oped. Resources are an energy source that feeds the logistics chain and ensures the movement of the material flow. Recycling transformation, transformation of resources into a specific type of product. Transport repre- sents active losses. Storage the delay in the movement of the material flow for the duration of storage. Distribu- tion costs for the trading sector. Mathematical models for studying the intensity of production processes using the Mathcad program are developed. The analysis was carried out: of a market model of the intensity of the flows of the production process of the market economy with a different resource bases; of a planned model of the inten- sity of the flows of the production process of the planned economy with different resource bases.

A NEW INTEGRATED GREY MCDM MODEL: CASE OF WAREHOUSE LOCATION SELECTION

Warehouses link suppliers and customers throughout the entire supply chain. The location of the warehouse has a significant impact on the logistics process. Even though all other warehouse activities are successful, if the product dispatched from the warehouse fails to meet the customer needs in time, the company may face with the risk of losing customers. This affects the performance of the whole supply chain therefore the choice of warehouse location is an important decision problem. This problem is a multi-criteria decision-making (MCDM) problem since it involves many criteria and alternatives in the selection process. This study proposes an integrated grey MCDM model including grey preference selection index (GPSI) and grey proximity indexed value (GPIV) to determine the most appropriate warehouse location for a supermarket. This study aims to make three contributions to the literature. PSI and PIV methods combined with grey theory will be introduced for the first time in the literature. In addition, GPSI and GPIV methods will be combined and used to select the best warehouse location. In this study, the performances of five warehouse location alternatives were assessed with twelve criteria. Location 4 is found as the best alternative in GPIV. The GPIV results were compared with other grey MCDM methods, and it was found that GPIV method is reliable. It has been determined from the sensitivity analysis that the change in criteria weights causes a change in the ranking of the locations therefore GPIV method was found to be sensitive to the change in criteria weights.

A Reference Model of Reverse Logistics Process for Improving Sustainability in the Supply Chain

The reverse logistics process (RLP) has become a key process for the supply chain (SC) given its importance for treating the increasing quantity of returned or recovered products and its impact on sustainability. However, the RLP is complex and involves a high degree of uncertainty and difficult decisions that affect SC efficiency. One of the aspects that can help the most to reduce this complexity and to improve SC efficiency is to formalize this process. The consulted studies agree on the numerous benefits of RLP formalization, but no tools, methodologies or specific solutions were found that help companies to advance in this matter. This work aims to develop a specific tool for RLP formalization so that its efficiency can be increased, leading to an improvement of SC sustainability. The main results comprise a reference model for RLP (RM-RLP) and an associated methodology so that any company can formalize its RLP by modeling its activities. The proposed tool (RM-RLP and methodology) is applied to a closed loop SC of relaxing chairs as an example of RLP formalization, proving its usefulness and, additionally, the improvements that can be reached in three RLP key indicators: total process duration, customer response time and the perceived autonomy and trust of the workers participating in the process.