Production Logistics Research Articles

A Review of Research on The Reliability Assessment of Fresh Product Distribution Networks Considering Product Perishability Constraint

A reliable and stable distribution network is fundamental for the effective operation of fresh agricultural product logistics, and network reliability is a crucial metric for determining whether fresh agricultural product logistics can complete specified tasks promptly and smoothly. To further clarify the current research status on the reliability of fresh agricultural product distribution networks considering transportation losses, this study reviews the literature from three aspects: research on transportation losses of fresh agricultural products, reliability of stochastic distribution networks, and methods for assessing the reliability of stochastic distribution networks considering transportation losses. The studies indicate that few documents introduce both quantity deterioration and quality deterioration simultaneously into network reliability research, which tends to overlook the market demand under reduced freshness, and seldom considers the dynamic changes of deterioration factors in complex environments.

Enhancing manufacturing productivity: A review of AI-Driven supply chain management optimization and ERP systems integration

This abstract delves into the realm of manufacturing productivity enhancement through the review of AI-driven supply chain management (SCM) optimization and Enterprise Resource Planning (ERP) systems integration. As industries strive for operational excellence, the convergence of artificial intelligence (AI) and supply chain management emerges as a transformative force in driving efficiency, agility, and competitiveness. Through a comprehensive analysis, this abstract examines the synergistic relationship between AI-driven SCM optimization and the integration of ERP systems, elucidating their collective impact on manufacturing productivity. AI-driven SCM optimization encompasses a spectrum of technologies and methodologies, including predictive analytics, machine learning, and autonomous decision-making systems, aimed at optimizing various facets of the supply chain, from demand forecasting and inventory management to production planning and logistics optimization. By harnessing the power of AI, manufacturers can enhance forecasting accuracy, reduce lead times, optimize inventory levels, and mitigate supply chain disruptions, thereby improving overall productivity and customer satisfaction. Integration of ERP systems plays a complementary role in manufacturing productivity enhancement by providing a centralized platform for data management, process automation, and cross-functional collaboration. Through seamless integration with AI-driven SCM optimization tools, ERP systems enable real-time data exchange, actionable insights, and end-to-end visibility across the supply chain, facilitating informed decision-making and agile response to dynamic market conditions. Drawing insights from case studies and industry examples, this abstract highlights best practices, challenges, and emerging trends in AI-driven SCM optimization and ERP systems integration. Strategies for successful implementation, including organizational readiness assessment, change management, and stakeholder engagement, are discussed to guide manufacturers in unlocking the full potential of these transformative technologies. In conclusion, the convergence of AI-driven SCM optimization and ERP systems integration offers a compelling pathway for enhancing manufacturing productivity, driving operational excellence, and sustaining competitive advantage in the digital era.. Keywords: Artificial Intelligence, Supply Chain Management, Enterprise Resource Planning, Manufacturing Productivity, AI Integration, Predictive Analytics.

Decision Analysis of Cold Chain Supply Chain Based on a Stochastic Evolution Model

Accelerating the development of cold chain logistics for agricultural products is not only an objective requirement for the development of agricultural product circulation but also a necessary demand to promote rural revitalization and upgrade agricultural consumption. Addressing the evolutionary problems of cold chain transportation in uncertain environments, this study considers the actual stochastic disturbances in the cold chain supply chain system, introducing Gaussian white noise to reflect the random perturbations experienced during the evolution of the cold chain. A three-party stochastic evolutionary game model is established involving farmers, logistics enterprises, and government regulatory authorities. Based on this model, numerical simulation analysis is conducted to explore the effects of different factors such as the intensity of random disturbances and the loss transfer coefficient on the fluctuation of strategic choices of the entities and the convergence speed to a stable state during evolution. Finally, combining the results of numerical simulation, relevant policies and recommendations are proposed to provide insights and guidance for the development of cold chain logistics in agricultural products.

Fresh Agricultural Products Cold Chain Logistics Development Status and Countermeasures Research

With the improvement of the living standard of consumers in China, people are more and more concerned about the demand and quality of fresh agricultural products, and the market scale of cold chain logistics of fresh agricultural products is growing explosively. However, China's cold chain logistics still exists such as insufficient cold chain logistics infrastructure, low level of information technology, high cost, low degree of standardization of fresh agricultural products production and other problems, resulting in China's fresh agricultural products cold chain logistics is facing serious challenges. This paper analyzes the development status quo of cold chain logistics and puts forward some solutions to provide some references for subsequent research.

The Redesign of Logistics Network of Fresh Fruit in Guangxi Province of China

This study aims to investigate the distribution characteristics of China's agricultural industry and its logistics network design. The study is based on the theory and method of hub-and-spoke logistics network design, takes the logistics of agricultural products in China as the research area, and focuses on the fresh fruit industry. The specific case study took the fruit industry in Guangxi Province as an object and analyzed the overall spatial distribution from 2014 to 2022. By considering the factors of economic development, logistics development and fruit industry development, 11 indicators were selected to construct a comprehensive evaluation index system of logistics-level node cities within the logistics network. This index system aims to provide a holistic assessment of the logistics capabilities of these cities. The hub cities and spoke cities of the fresh fruit industry logistics network were determined by cluster analysis based on factor analysis. The cities are identified using the gravitational model and the logistics affiliation degree. As a result, a hub-and-spoke logistics network for the fresh fruit industry is centered on Nanning, Liuzhou and Guilin, which are designated as the key hub cities. Yulin, Qinzhou, Guigang and Baise are the secondary spoke nodes, while Beihai, Wuzhou, Chongzuo, Fangchenggang, Hezhou, Laibin and Hechi are the tertiary and quaternary spoke nodes. In order to better develop the fresh fruit industry in Guangxi, proposals are made to guide the layout of the fruit industry, improve the logistics infrastructure in the node cities, and ensure the quality of fruit transportation.

ACSICS: Joint Distribution Mode Integrating Agricultural Industry Chain Logistics Under the Background of Artificial Intelligence

The purpose is to study the new application of artificial intelligence (AI) technology in the Agro logistics industry distribution modes. This work summarizes the problems in agricultural logistics by investigating the current situation of the logistics distribution modes (LDMs) of Agro products and establishes a joint LDM integrating logistics and agricultural industry chain (AIC). An intelligent virtual center is established for the joint LDM according to the specific situation of Xi’an. Experts are invited to evaluate the proposed LDM. The results show that the existing third-party logistics (3PL), agricultural supermarket docking LDM, and company+farmer shared LDM have respective advantages and disadvantages. The virtual center for the proposed joint LDM multiplies the weight matrix [Formula: see text] and fuzzy evaluation matrix A to obtain a comprehensive fuzzy evaluation result. It evaluates the result according to the maximum membership criterion. Most experts have a relatively good evaluation of the joint LDM. In the comprehensive fuzzy evaluation results, the comprehensive “excellent” score is 0.3755, and the comprehensive “good” score is 0.2678. According to the principle of maximum subordination, the AIC logistics integrating Agro products logistics has an excellent performance, and the overall satisfaction level of performance has exceeded 85%. In addition, Yonghui supermarket adopts the joint LDM, and the price of fruits and vegetables is lower than that of other LDMs. Therefore, the proposed AI-based joint LDM can optimize the distribution route, improve distribution efficiency, and save logistics costs to a great extent.

Review of Research on the Development of Cold-Chain Logistics of Agricultural Products in China

The growth of cold-chain logistics of agricultural products in China has become a central issue from all walks of life. With the constant growth of the economy and the growth in the standard of living, it has become increasingly prominent as a key link to ensure food safety and enhance the added value of agricultural products. Although the acceleration of urbanization and the trend of consumption upgrading have facilitated the rapid growth of the market needs for cold-chain logistics of agricultural goods, the government has accordingly entered a series of support policies to stimulate the application of modern information technology in cold-chain logistics of farm products, compared to developed nations, a significant disparity exists in terms of infrastructure, technical level, and management system in China. Therefore, it has become urgent to enhance the cold-chain logistics of farm produce in China to strengthen infrastructure construction, enhance the degree of data technology utilization, and facilitate the application of new technologies and models. This paper conducts and analyzes the rising status of cold-chain logistics of agricultural goods nationally and internationally, conducts an in-depth analysis of existing problems by existing scholars, finds out the deep-seated reasons behind it, and points out the direction for the continuous improvement and innovative development of cold-chain logistics of agricultural products in China.

A Study on The Problematization of Logistics in Agricultural Production in The State of Tocantins

Objective: the research aims to describe the logistical service system, observing the problematization of agricultural production in the state of Tocantins, considering that this sector is one of the most promising in terms of socioeconomic and regional development in the country. Theoretical benchmark: with the growing advancement of agricultural production and the exploration of new frontiers, Brazil stands out as one of the main exporters of agricultural products today. Given the significant development of agriculture, it is observed that the logistical factor, mainly costs and infrastructure, is among the elements with the greatest impact on the efficiency of the entire agricultural production chain in the state of Tocantins. Method: the methodology adopted will be the deductive method, based on theoretical logistics studies, applicable legislation, and support materials for logistics learning systems, in addition to economic representation in the state of Tocantins. The resources used include bibliographic and documentary material and other instruments or research techniques in accordance with the adopted methodology, aiming to provide support for research on the proposed theme. Results and conclusion: given the content of this study, it is highlighted that the chain of agricultural processes encompasses a complex network of activities in the production chain, and cannot be conceived solely as a relationship between producer and consumer, given its breadth of action. In this context, it should be noted that logistics services end up representing one of the obstacles to the development of agriculture in the State of Tocantins, mainly due to its geographic location. Implications of the research: the approach adopted in this research offers unprecedented scientific contributions to the field of logistics, providing theoretical bases for interventions and public policies that can impact this economic activity in a Brazilian state with strong economic and social growth trends, whose production has repercussions at national and international levels. Originality/value: the social transformations of recent decades, related to the process of globalization of the economy and technology, have directly influenced the social and economic life of countries, affecting production and service chains and interfering in labor relations. Therefore, the increase in regions dedicated to agribusiness activities is a general trend among emerging countries, requiring a deeper understanding of the territorial approach to regional development, especially in economic activities hampered by bottlenecks in the logistics system, both national and international. Thus, new reflections and planning are necessary and imperative elements in Brazilian states like Tocantins.

Exploring Symbiosis: Innovatively Unveiling the Interplay between the Cold Chain Logistics of Fresh Agricultural Products and the Ecological Environment

Cold chain logistics are crucial for reducing agricultural product loss, yet the environmental impact of energy and packaging consumption, among others, demands attention, making the search for eco-friendly development modes essential. Based on data from 30 provinces in China from 2015 to 2021, this study analyzes the basic correlation between the development of cold chain logistics of fresh agricultural products (CCLFAP) and the ecological environment (EE) by using a random forest regression model in comparison with the XGBoost model. Correlation heatmaps were used to analyze the relationships between the cold chain logistics of fresh agricultural products and various factors of the ecological environment. The generalized additive model was then used to establish the connection between cold chain logistics and the ecological environment, identifying significant factors impacting EE. The results demonstrate that a higher development level of cold chain logistics corresponds to a better development trend of EE. The economic efficiency and technical aspects of cold chain logistics for fresh agricultural products are closely related to ecological pressures and responses. The number of employees in the logistics industry, the trading volume of fresh agricultural products, the number of refrigerated vehicles, and the capacity of the cold room have significant positive correlations with the ecological environment, while the per capita consumption of fresh agricultural products, the number of cold chain logistics patent applications, and the road density had significant negative correlations with the ecological environment. The effects of the number of cold chain logistics enterprises and the freight turnover of agricultural products transported by the cold chain on the ecological environment fluctuated. These findings contribute to reducing climate and environmental emergencies throughout the life cycle, offering sustainable development solutions for the fresh agricultural product cold chain logistics industry.

Launching of the logistics double diploma program beetween Hungary and Kyrgyzistan: from start to teaching

In recent years, there has been a growing demand for education in the field of intralogistics, as companies began to treat this segment as a separate area, not just as part of procurement or storage. As a result, the demand for professionals specialized in this area has increased, not only in Europe but worldwide. The University of Miskolc, in collaboration with its former partner, the Kyrgyz State Technical University, has established a dual degree program with a significant emphasis on production logistics. This article presents the origin and background of the program, the initial challenges of course launches and how they were overcome, as well as providing insights into the future of logistics education.

Possibilities of using driverless handling robots in intralogistics

In this article we deal with production logistics within internal logistics, as well as the material supply of production, as well as the related material handling and the use of material handling robots supporting processes. Robot navigation is a multi-approach discipline that poses a major challenge in intralogistics. In general, the navigation principle, software and hardcer requirements of mobile robots must be prepared on the basis of logistics processes in such a way as to satisfy production with sufficient accuracy and safety. In the article we present the types of robots and give an insight about autonomous mobile robots.

Artificial intelligence for production, operations and logistics management in modular construction industry: A systematic literature review

Artificial intelligence (AI) has garnered significant attention within the modular construction industry, emerging as a prominent frontier development trend. A comprehensive and systematic analysis is required to gain a thorough understanding of the existing literature on the use of AI in the management of production, operations, and logistics within the modular construction industry. This review delves into the various aspects of AI implementation in this sector, adopting a critical perspective. The objective of this paper is to analyze the progress, suitability, and research patterns in the field of AI for the management of productions, operations, and logistics within the modular construction industry. First, a concise overview of AI technologies pertaining to the contemporary research on the production, operations and logistics management of the modular construction industry is provided. Second, a bibliometric analysis is performed to provide a comprehensive overview of the existing publications pertaining to this subject matter. Subsequently, this paper presents literature reviews and outlines future directions for each component, specifically AI in the context of production management, operations management, and logistics management within the modular construction industry. The review provides a valuable knowledge base and roadmap to guide future research and development efforts in AI-enhanced modular construction management.

Proses Shooting Pembuatan Film “Sabda Rindu” Sebagai Asisten Produser Pada Tim Produksi

Film is a part of communication that utilizes technology in several tools such as color and sound which are recommended to convey messages through moving images. In the production process, a short film must go through stages, namely pre-production, production and post-production for the film Sabda Rindu. The process results from those obtained at the pre-production stage, at the production stage the director conducts research to look for ideas for the film to be produced with the team to carry out planning both in determining production time, talent casting, contracts, permits, correspondence and logistics. At the production stage, namely the implementation of shooting, the director and the team work together, where working together here is how individuals can do their work optimally, functionally, well and professionally to realize what is planned in the script into an arrangement of words which then create a picture that tells a story. The post-production stage is recording or rearranging all shooting results based on shooting notes and images. And also the code numbers in the production in the form of digits, frames, seconds, minutes and hours that appear on the image and the results of each shoot are recorded. If anything needs to be added or edited again, revisions will be made as desired until the results are satisfactory.

Climate true‐cost analysis of industrial goods and its regulatory implications on value chains and global competition

AbstractClimate change and its damaging consequences for ecology and humanity is advancing. Industry and its metals sector are responsible for most greenhouse gas emissions. Current costs of industrial goods do not reflect the true costs caused by the externalized climate damages of its production and thus offer no competitive incentive to decarbonize. Additionally, regional climate regulation can lead to competitive distortion. We therefore aim to investigate the impact of climate cost internalization on the metals industry. Using true‐cost analysis for an exemplary and widely used metal product, the effects of climate true costs depending on production region, technology, and energy mix, CO2e taxation and value chain are examined. Based hereon, the impact of internalizing climate true costs together with the introduction of a carbon‐border tax on the carbon leakage problem, climate protection, and the cost situation for companies in global competition are investigated. The results of the study show that steel and wire production is responsible for most CO2e emissions showing significant decarbonization effects by steel recycling whereas production location and logistics play a minor role. On a competitive level, cost internalization has hardly any effect on the product costs because of the currently low CO2e‐taxation rates. Thus, almost no incentive to produce or consume in a climate‐protective way is generated, incentivizing production in pollution havens versus highly climate regulated regions. Instead, to realize emission efficiency gains and innovations leading to a competitive advantage of decarbonized products and value chains, a significant increase of CO2e‐taxation rates together with a carbon‐border tax is necessary.

ANALYSIS OF MODERN TRENDS AND OPPORTUNITIES IN THE LOGISTICS CHANNELS OF ENERGY PRODUCTS PRODUCERS

The purpose of the article is to highlight the crucial role of logistics in ensuring efficient, sustainable and reliable energy distribution, especially in the face of challenges posed by global events such as Russia's invasion of Ukraine and the ongoing energy crisis. The dynamics of logistics channels in the energy sector are undergoing significant transformation due to technological innovations, geopolitical developments, environmental considerations and changes in energy sources. This study examines the current trends and opportunities in the logistics channels of energy producers, with a particular focus on how these elements are affecting the logistics landscape of the energy market. Methodology. The methodological approach combines a comprehensive review of current literature, analysis of industry reports and case studies to assess the evolution of logistics practices in the energy sector. According to the study, the logistics framework of the energy sector is changing as a result of a strong push for sustainability and technological advancement, which is driving the need for creative logistics solutions. Efforts to promote environmental sustainability are driving green logistics, and digitalisation is increasing operational efficiency across the supply chain. Results. The article emphasises the importance of sustainable and diversified clean energy supply chains, and stresses the need for strategic international cooperation to overcome the complexities of the current global energy landscape. The practical implications of this study suggest that stakeholders in the energy sector, including policy makers, businesses and researchers, need to adapt to these new trends to promote a more sustainable, efficient and responsive logistics infrastructure. The value/originality of this research lies in the comprehensive analysis of the factors driving changes in energy product logistics, offering insights into the strategic directions for the development of sustainable energy supply chains in the face of ever-changing global challenges.

AGV Path Planning based on Improved Ant Colony Algorithm

With the widespread application of Automated Guided Vehicles (AGV) in industrial production and warehouse logistics, the challenges they face during operation are becoming increasingly apparent. Currently, the path planning problem of AGV has become one of the hot topics in academic research. This paper provides an in-depth analysis of the performance of AGV in real-world scenarios and utilizes grid-based methods to construct a map environment model. Subsequently, a detailed analysis of the movement of AGV in the environment is conducted, and an improved pheromone method is proposed based on the traditional ant colony algorithm, aiming to optimize the navigation path of AGV to determine the optimal travel route.

Discussion and Analysis of Agricultural Cold Chain Logistics Issues

With the advancement of socialist marketisation, the demand for cold chain logistics for agricultural products is expanding. This not only accelerates the development of cold chain logistics system, but also brings a lot of convenience to the residents' life. This paper takes the current situation of supply and demand of cold chain logistics of agricultural products in China as the starting point, analyses the current problems in the development of cold chain logistics of agricultural products, and puts forward corresponding countermeasures in this regard, with a view to improving the efficiency of cold chain logistics transport in China to meet the daily needs of the people.

A scenario-based robust approach for joint planning of multi-blood product logistics and multi-casualty type evacuation

This paper presents a two-stage hybrid robust programming model that integrates multiple blood products scheduling and multiple casualty types evacuation under facility disruptions risk and casualty number uncertainty. The model seeks to maximize the rescue efficiency and minimize the total operations cost. Under a set of disruption scenarios, we adopt a scenario-based robust method to address disruption risks at temporary medical centres and two robust uncertainty sets to deal with uncertain casualty numbers. We propose a proximal bundle algorithm to solve large-scale instances of the proposed hybrid robust model approximately. Extensive numerical experiments show that: (i) the trade-off between model robustness and solution robustness can help the decision-makers determine an appropriate risk-aversion weight; (ii) compared with the corresponding stochastic and scenario-based robust models, the hybrid robust model can obtain more robust solutions with a slight increase in cost; (iii) the proximal bundle algorithm can produce near-optimal solutions within reasonable computational times; (iv) some model parameters have significant impact on the total cost, which can help decision-makers set the appropriate parameters to achieve the desired outcome. Finally, we also use the real data of the 2008 Wenchuan County Earthquake in Sichuan Province, China, to illustrate the application of the model.

Optimizing production logistics through advanced machine learning techniques: A study on resource allocation for small-batch and multi-variety challenges

In light of increasing consumer purchasing power and the growing diversification of demands, the emergence of small-batch and multi-variety requirements has posed substantial challenges to production manufacturing, particularly in on-site production logistics management. This study aims to address the issues of effective material flow and resource allocation in production logistics management by investigating a method for the rapid and accurate allocation of supply logistics resources. Leveraging the extensive logistics resource allocation data available in the Plan For Every Part system, this research utilizes the Term Frequency-Inverse Document Frequency algorithm to filter out less discriminative data. Additionally, a recommender system based on machine learning, specifically the Recsys (Recommender System) employing similarity algorithms, is employed to construct a logistics resource allocation recommendation model. The effectiveness of this approach is validated through a case study that involves material resource allocation recommendations in a specific remote control production workshop. The validation results indicate that, compared to traditional logistics resource allocation processes, the proposed model optimizes resource allocation recommendations in production logistics, resulting in a significant improvement in material delivery punctuality and overall operational efficiency in enterprises.

A Study on Enhancing Sustainability in Circular Supply Chains through Green Innovations

Redefining product and service lifecycles with eco-friendly and sustainable processes, circular supply chains are green breakthroughs. Minimising waste, environmental effect, and resource efficiency are its goals. In a circular supply chain, green innovations can include product design that facilitates recycling or reuse, process improvements that reduce energy consumption and emissions, logistics solutions that optimise transportation for lower carbon footprints, and service innovations that promote sustainability. These green ideas improve supply chain efficiency and competitiveness while helping the environment. Businesses may reconcile economic growth and environmental stewardship by rethinking and rebuilding linear supply models into circular and sustainable ones, paving the way for a more sustainable future. This study examines how green innovations affect circular supply chains in Andhra Pradesh's durable goods industry. It analyses how product, process, logistical, and service green innovation improves supply chain efficiency. The quantitative research uses structured surveys to obtain data from 150 industry professionals and customers. Convenience sampling was used to acquire varied supply chain performance metrics responses. SPSS is used for rigorous regression analysis in the study. This method lets you study how green innovation affects circular supply chain performance. All green innovations improve supply chain efficiency, but green service innovation has the greatest benefit. This research provides strong evidence for green innovations in durable goods industry circular supply networks. The study emphasises ecologically friendly product creation, logistics, service delivery, and process management.