Production Layout Research Articles

Investigation into the Geological Origin and Influencing Factors of Selenium-Enriched Soil in Licheng, Jinan, Shandong Province

The geochemical classification of soils is crucial for the scientific development and utilization of land, particularly in the investigation of selenium-rich soils, which plays a guiding role in the cultivation layout of local selenium-rich agricultural products. This study involves the collection and analysis of over 6000 samples of soil, water quality, and crops from the entire area of Licheng District in Jinan City, Shandong Province. By analyzing the data in conjunction with the geochemical classification standards for soil nutrient levels, soil environmental geochemical levels, and comprehensive soil quality geochemical levels, we delineated a distribution area of selenium-rich soils covering 192.26 km2 in Licheng District, providing a bibliographic basis for the scientific planning of agriculture and forestry in the region.

Optimization Algorithm of Network Node Layout of Fresh Agricultural Products’ Online Consumption Behavior in E-Commerce Environment

In order to improve the efficiency of online consumption and supply chain efficiency of fresh agricultural products in the e-commerce environment, a network node layout optimization algorithm was designed. In the e-commerce environment, a network node deployment model has been constructed for the online consumption behavior of fresh agricultural products. A network transmission supply chain detection model was established through the rotation scheduling method. By combining distributed transformation protocols, the spatial layout characteristics of network nodes have been reorganized. Further introduction of a multi-coverage scheduling model, combined with sensor information fusion tracking technology, accurately detects the layout characteristics of network nodes. Based on these detection data, forwarding and adaptive control protocols were developed. Real-time control using the node traversal method was developed. Under the optimal node supply chain transmission mechanism, the scheduling of the network node layout has been achieved. Meanwhile, convolutional neural networks were utilized to dynamically adjust layout control to ensure convergence and stability. The simulation results show that the node forwarding ability of the network node layout design for online consumption behavior of fresh agricultural products in the e-commerce environment is good, which improves the output balance of the network supply chain transmission of online consumption behavior of fresh agricultural products in the e-commerce environment. In addition, the optimized delivery cost decreased by 20% compared to before optimization, delivery efficiency increased by 30%, and inventory turnover rate increased by 25%, confirming that the proposed method has good optimization performance.

Research on planting planning of Glycyrrhiza uralensis in Naiman Banner based on MaxEnt model and remote sensing technology

Benefits of Glycyrrhiza uralensis include removing heat, detoxifying, and moistening the lungs, easing coughs, refueling the spleen, and balancing medications. In addition to providing theoretical guidance for the development of the G. uralensis industry and rural revitalization plan, it is anticipated that this paper will also provide basic data for the formulation of production layout of the G. uralensis industry at the county level, the control of cultivation industry direction, the establishment of high-quality G. uralensis cultivation technology system. The Maximum Entropy (MaxEnt) model was used to simulate the potential distribution of G. uralensis, a Chinese medicine resource, in Naiman Banner. By conducting a field inquiry and a broad assessment of the available Chinese medicine resources, the distribution information was acquired. The random forest technique was used to classify G. uralensis. The phenological cycle and development mode of vegetation, which exhibits diverse temporal traits and aids in identification, were elucidated through long-term series analysis. The random forest classification algorithm based on multiple features showed high accuracy in remote sensing (RS) recognition of G. uralensis. Comparative analysis of the MaxEnt and RS results showed that the planting area of G. uralensis was smaller than that of its potential distribution. The expansion to high-suitability areas planting should be prioritized. Based on the dual analysis of regional and remote sensing, it not only proved the great potential of using geographic information to predict the distribution of G. uralensis, but also verified the great potential of extracting the distribution of G. uralensis from GF-6 images. These results will guide the planting and development of G. uralensis in Naiman Banner and a scientific basis for the development of G. uralensis economy, conducive to optimizing the ecological environment and promoting rural revitalization programs.

Production Sequencing and Layout Optimization of Precast Concrete Components under Mold Resource Constraints

Precast concrete components have attracted a lot of attention due to their efficient production on off-site production lines. However, in the precast component production process, unreasonable production sequence and mold layout will reduce production efficiency and affect the workload balance between each process. Due to the multi-species and small-lot production characteristics of precast concrete components, the number of molds corresponding to each precast concrete component is generally limited. In this paper, a production sequence and layout optimization model for assembling precast concrete components under a limited number of molds is proposed, aiming to improve the comprehensive utilization efficiency of the mold tables and balance the workload between each production process of precast components. In order to obtain a better production sequence and a richer combination of mold layout schemes, a multi-objective teaching-learning-based optimization algorithm based on the Pareto dominance relation is developed, and an enhancement mechanism is embedded in the proposed algorithm. To verify the superior performance of the enhanced teaching-learning-based optimization algorithm in improving the comprehensive utilization efficiency of the mold tables and balancing the workload between various processes, three different sizes of precast concrete component production cases are designed. The research results show that the proposed model and optimization algorithm can help production managers to efficiently formulate more reasonable precast component production sequence and layout schemes, especially for those enterprises that are struggling to improve the efficiency of precast concrete component production.

A hybrid data-driven optimization and decision-making approach for a digital twin environment: Towards customizing production platforms

In the Industry 4.0 era, advanced technologies are transforming manufacturing processes and systems. Additionally, the increasing prevalence of big data and AI technologies have made decision-making using manufacturing data increasingly important. However, Small and Medium-sized Enterprises (SMEs) have encountered significant obstacles in adopting these technologies due to resource limitations and constraints. For SMEs, selecting an appropriate production strategy is challenging due to the complexity of manufacturing systems. As a response, this paper proposes a hybrid Simulation-Optimization with Multi-Criteria Decision-Making (SOMCDM) framework for SMEs to identify effective and customized production layouts. In the proposed approach, we model various production scenarios using a cellular manufacturing system. Surrogate models for different production layouts are created to basis functions using Multivariate Adaptive Regression Splines (MARS). Subsequently, the basis functions are used as fitness functions to identify optimal production parameters in a genetic algorithm. Then, optimized parameters are applied to production criteria and ranked using a multi-criteria decision-making technique. In a case study, the proposed framework is applied to select the best production platform among three scenarios for a company assembling complex products. The selected production platform improves overall manufacturing performance by 11.95% compared to the existing one. This study demonstrates the effectiveness of the proposed framework in identifying the best production platform for labor-intensive SMEs manufacturing high-mix, low-volume products using SOMCDM for a digital twin environment. The proposed framework is further detailed through a case study of a 3D printer assembly factory.

Climatic suitability and development potential of facility agriculture at county-level in China

Facility agriculture is a modern cultivation system that utilizes certain facilities and engineering techniques to create a suitable environment for crops growth, which can ensure China's national food security and human nutrition. Both beneficial and limited climatic conditions have influenced the development for facility agriculture. In this study, 12 dominant factors were distilled by using Maximum Entropy model (MaxEnt) to quantify climatic suitability of facility agriculture and its variation in counties across China in 1991–2020. The climatic suitable areas for facility agriculture were mainly distributed in the southern part of Northeast China, North China, central China, southern part of Southwest China, and northern part of East China, especially during 2000–2020. There was a general fluctuating upward trend in the climatic suitability of facility agriculture in traditional advantageous production areas such as Jiangsu, Shandong, Hebei, and Liaoning. Positive trends in the changes of climatic suitability were detected in central and eastern China where rapid development of facility agriculture could be realized through scientific planning and layout. Western provinces such as Gansu, Shaanxi, and Inner Mongolia were highlighted as considerable development potential for facility agriculture, with the perspective of developing energy-saving solar greenhouses in especial. These distribution characteristics and potential changes of climate suitability would help to optimize production layout and achieve green and sustainable development of facility agriculture.

Assembly Line Integration as a Lever for Efficiency and Space Utilization in Automotive Parts Production

Optimizing space in manufacturing is essential because space is both limited and expensive. Efficient use of space improves productivity, efficiency, and factory layout planning. The aim is to reduce the area used while increasing the value generated per unit of space, aligning with lean manufacturing principles that focus on value-adding activities and minimizing waste, including wasted space. In manufacturing, space optimization involves analyzing areas that add value, support operations, or cause waste. Key considerations include workspace design, safety clearances, and the overlap of functional areas, which can complicate space utilization. Effective floor space planning compares different layout options and measures space usage across categories to find the most efficient arrangement. Simple layout changes can greatly improve space efficiency by up to 80% without requiring large investments. This is crucial for boosting production efficiency and adapting to challenges, like those presented by the COVID-19 pandemic, which highlighted the need for flexible and efficient use of space to maintain safety and operations.

Systematic Layout Planning to Improve Facility Layout in Small and Medium Food Enterprise

The absence of a structured method for revamping current or introducing new production layouts in small and medium-sized enterprises may hinder the flexibility and competitiveness of the enterprise. This study aimed to assess the existing production layout and offer improvement recommendations for a small and medium-sized food enterprise in East Java, Indonesia. Data was obtained through interviews with the owner and observation at the production site. The research employed systematic layout planning, utilizing activity relationship charts and diagrams. The findings presented two alternative suggestions for the production facility layout, with the study recommending the second alternative based on an evaluation of criteria. The second proposed alternative exhibited a total material handling distance per week of 1,812 and a total material handling cost of 17,961.96 rupiah, lower than the first proposed alternative. The managerial implications of this study pertain to the construction of facilities with a focus on technical and hygiene requirements, the design and layout of buildings and rooms, and the requirements for machinery, equipment, and transportation to ensure product quality and safety.

Concurrent product layout design optimization and dependency management using a modified NSGA-III approach

Concurrent product layout design optimization and dependency management using a modified NSGA-III approach

Effects of environment and human activities on rice planting suitability based on MaxEnt model.

Rice is one of the major food crops, and the study of suitable planting areas for rice plays an important role in improving rice yield and optimizing the production layout. This study used Maximum Entropy (MaxEnt) model to simulate and predict the distribution of suitable rice planting areas in China from 1981 to 2020 by combining the climate, soil, and human activities, analyzed the spatial and temporal changes of suitable rice planting areas in China, and determined the main factors affecting rice planting suitability. The results indicated that the main factors influencing the distribution of suitable planting areas for rice in China were gross domestic product (GDP), population density (Pop), and annual sunshine duration (Sun), with human activities playing a dominant role. The high suitable planting areas of rice were mainly distributed in Hubei, Hunan, Jiangxi, Anhui, Guangdong, southeastern Sichuan and western Guizhou. The total suitable planting areas for rice were 346.00 × 104 km2, 345.66 × 104 km2, 347.01 × 104 km2, and 355.57 × 104 km2 from 1981 to 1990, 1991 to 2000, 2001 to 2010 and 2011 to 2020, respectively. With the passage of time, the area of unsuitable areas for rice gradually decreased, and the area of medium suitable areas increased, with large changes in the area of high- and low-suitable areas. Moreover, due to the transfer of a large number of rural laborers to the cities in recent years, the tension between people and land caused by the population explosion has led to the increasing impact of Pop on rice suitable areas and the relatively weakening of the impact of GDP on rice production interventions. The results can be used to provide scientific evidence for the management of rice cultivation and food production safety, with a view to reducing the impacts of climate change on agricultural production in the context of global climate change.

Redesign The Layout of Production Facilities at a Garment Company Using the BLOCPLAN Method to Optimize Material Handling

Facility layout design is crucial in production layout setups. The composition of facilities that corresponds to the flow of materials between departments will help to ensure the production system's continuity. PT. KMC is a garment company in West Jakarta that manufactures shirts, dresses, and t-shirt bloats. The company's current layout facilities have not run optimally. This is because inefficient movement distances result in wasted material handling costs, and crossing production flows between departments cause production processes to be disturbed. The objective of this project is to rethink facility layouts using the BLOCPLAN approach in order to optimize material handling. The BLOCPLAN approach may examine layout performance and generate new layout ideas for efficient material handling. The discussion is limited because this research was only conducted on one company. Based on the results of the layout redesign using the BLOCPLAN approach, various improvements were obtained, including a 37.12% increase in material handling cost efficiency. The proposed layout with the BLOCPLAN method is able to provide a reduction in material transfer distance of 22.6 meters and a material handling cost of Rp 155,346 when compared to the initial layout, which had a total overall displacement distance of 35.8 meters and an initial layout material handling cost of Rp 247,059, making it much cheaper.

Research on named entity recognition method for high-speed railway technology transformation project text

Abstract High-speed railway technology transformation projects are crucial to the layout of high-speed rail transportation production, high-speed rail safety, and high-speed rail operation and management. However, the data of high-speed railway technology transformation projects is mainly stored in the form of unstructured text, and the relevant personnel of high-speed railroad often need to manually go through the form to extract the key information of the project data and enter it into the system, with a low degree of automation and intelligence. Therefore, to improve the efficiency and quality of processing the data of high-speed railway technology transformation projects, and help the intelligent development of high-speed railways, this paper constructs the RoBERTa-BiLSTM-CRF fusion model to automate the identification of key information entities in the data of high-speed railway technology transformation project. The experimental data were selected as technology transformation project documents of a railway bureau from 2013 to 2022, and six defined entity types were identified. Experimental results show that the constructed model can effectively identify six types of defined entities, and the F1 value of each type of entity is above 90%. In addition, compared with other commonly used models, the F1 value has been significantly improved. The fusion model proposed in this paper can be used as a method to automatically extract key information for high-speed rail technology transformation projects.

Temporal and Spatial Variability of Ground Frost Indices in Northeast China

Frost is one of the most frequent, intense, and influential agrometeorological disasters that occurs frequently in Northeast China. The study of the spatiotemporal changes of ground frost is of great significance for farmers and policymakers in Northeast China, as it can inform decisions related to crop selection, planting schedules, and the development of regional climate adaptation plans. In this study, the spatiotemporal changes of frost indices (last spring frost (LSF), first fall frost (FFF), and frost-free period (FFP)) in Northeast China were analyzed from 1961 to 2020. Then, we investigated the mutation characteristics of the frost indices and their correlation with geographical factors. The results revealed that (1) the LSF, FFF, and FFP in Northeast China were concentrated at 120–140 DOY, 260–280 DOY, and 110–170 days, respectively. The spatial distribution of frost indices exhibited significant spatial heterogeneity. (2) The LSF, FFF, and FFP showed significant trends of advancement, delay, and extension, with trends of −1.94 days/10 a, 1.72 days/10 a, and 4.21 days/10 a, respectively. (3) More than 80% of the LSF, FFF, and FFP of the sites showed trends of advancement, delay, and extension, with greater variability in the central part of Heilongjiang Province. (4) The FFF and FFP experienced an abrupt change in the late 1990s. (5) The correlation between latitude and LSF, FFF, and FFP was the strongest, with correlation coefficients of 0.77, −0.79, and −0.78, respectively. This study provides a comprehensive understanding of the changing characteristics of ground frost indices that impact agricultural production in Northeast China against the backdrop of climate change. The findings hold significant scientific value in guiding the adaptation of agricultural production layouts in Northeast China to the evolving climatic conditions.

Intelligent optimization of eco-friendly H2/freshwater production and CO2 reduction layout integrating GT/rankine cycle/absorption chiller/TEG unit/PEM electrolyzer/RO section

The present study introduces an innovative approach tailored for gas turbine power plants to provide residential freshwater and energy, while also taking into account environmental concerns. The innovative design integrates sophisticated combustion technologies and effective heat recovery systems to enhance energy conversion processes and mitigate emissions, thereby facilitating more sustainable and environmentally-conscious power generation. The proposed system demonstrates capability in generating electrical power, producing desalinated water, and providing cooling capacity, thereby presenting a feasible substitute to conventional gas turbine systems. This research investigates the fundamental case of a gas turbine power plant and compares it to a modified system that includes heat recovery and hydrogen blending. The proposed system has been rigorously designed, analyzed, and optimized, with performance outcomes evaluated in comparison to the base case. Numerous effective parameters are taken into consideration in the exploration of the system's performance and the implementation of a multi-objective optimization procedure. The aims of this study encompass the optimization of overall exergy efficiency, the minimization of total cost rate, and the reduction of normalized CO2 emissions. The findings indicate a noteworthy enhancement in the suggested system when compared to the conventional base system. The overall exergy efficiency saw an increase from 31. 34–4273 %, accompanied by a decrease in the total cost rate from 1847 to 1514 $/h, and a reduction in the CO2 emission rate from 2. 22 kg/s to 1. 62 Moreover, through a comparative analysis, it is evident that augmenting the production capacity of the modified system results in a significant decrease in the power plant's payback period by 0. 8 years. The outcomes of this study offer significant insights for the creation of power generation systems that are both more effective and environmentally sustainable.

Assessing sustainable future of import-independent domestic soybean production in China: policy implications and projections for 2030

Soybean production, integral to sustainable agriculture and reliant on imports, faces vulnerability to international risk factors impacting domestic food security. The 2021 Central Rural Work Conference advocated strategic adjustments for sustainable soybean production amidst resource constraints, trade conflicts, and the lingering impact of COVID-19. This study scrutinizes the developmental framework of China’s soybean industry within current domestic policies. This paper uses the soybean sown area and soybean production in each province of China from 1995 to 2020 to measure China’s soybean concentration, production layout, and comparative advantage of regional scale, to analyze in depth the overall situation of China’s soybean production as well as the differences between regions, and to pave the way for the subsequent soybean production forecast. Further, taking the domestic soybean supply and demand situation in China in 2020 as the base period, while considering the growth values of soybean production under different scenarios, the potential forecasting model is utilized to estimate China’s soybean production under different scenarios. The results show that, in terms of inter-annual variability, revealing an upward trajectory from 1995 to 2020, with a shift to major soybean producing areas, notably in the northeast and the Huanghe-Huaihe-Haihe area. From inter-provincial changes, Soybean production on the left and right sides of the “Hu-Huanyong line” has significant heterogeneity; specifically, east of the “Hu-Huanyong line,” soybean production advantages are more obvious. Additionally, the study considered the actual planting situation of soybeans and envisaged two scenarios of compound planting and strip planting. The soybean production range in 2030 is expected to be 20.73–22.32 million tons and 21.15–27.55 million tons, with self-sufficiency rates varying from 18.57 to 19.98% and 18.95 to 24.68%, respectively. The research aims to provide a comprehensive understanding of China’s soybean industry and its potential trajectories, employing a model combining historical trends, policy analysis, and technological advancements. Results suggest a promising future with strategic adjustments in planting structures. Recommendations emphasize policymakers’ prioritization of technological investments and sustainable planting practices to achieve projected production targets. Policy interventions must address challenges tied to resource limitations, trade conflicts, and the ongoing COVID-19 effects, ensuring soybean industry resilience.

Determination of longitudinal stability of strip in rolling cage – non-drive dividing device system

In modern industrial and civil construction, various rolled metal products are used in greater volumes. The largest share of them is occupied by rebar profiles produced at small-grade mills. The ever-growing demand for rebar rolling requires an increase in production volumes. The most promising technology in this regard is rolling – separation, which, with relatively low material costs, allows operating rolling mills to significantly increase the production volume of rebar profiles while reducing energy consumption. However, despite the obvious advantages of rolling – separation technology using non-drive dividing devices, it is very difficult to correctly determine the rational modes of conducting the process taking into account the peculiarities of production and equipment layout, which is due to insufficient theoretical knowledge. One of the main problems is determination of the permissible distance in the rolling cage – non-drive dividing device system. The conducted studies allowed us to propose a dependence for determining the maximum permissible distance in the rolling cage – non-drive dividing device system for reasons of longitudinal stability of the strip, taking into account the size and shape of cross-section of the split articulated profile, the nature of pinching, and the backstretch stress. It was experimentally established that when determining the permissible distance between rolling cage and non-drive dividing device, it is advisable to take the length reduction coefficient equal to 0.7.

Revolutionizing Warehouse Efficiency with Shared and Class-Based Storage

This study addresses inefficiencies in the warehouse layout of a paper production company in Pasuruan, East Java, which led to delayed deliveries. By implementing shared storage (SS) using FIFO and class-based storage (CBS), the research aimed to optimize space and improve material handling efficiency. Data collection involved observation, interviews, and company records. The proposed layout reduced space usage from 59.45% to 16.95% and achieved significant time savings: 17.84% for brown paper, 8.84% for white paper, and 28.51% for custom-colored paper. The findings suggest that a systematic layout can greatly enhance warehouse efficiency. Future studies should consider the cost factors associated with these improvements. Highlights: Space Efficiency: Reduced usage from 59.45% to 16.95%. Time Savings: Up to 28.51% for custom-colored paper. Data-Driven: Used observations, interviews, and records for layout optimization Keywords: Warehouse layout, material handling, shared storage, class-based storage, efficiency improvement

In dustrial development status and strategy of improving quality and efficiency of ginger, a resource for both medicine and food use

China cultivates characteristic resource plant Zingiber officinale for both medicine and food use, with a long history of cultivation, production, and application. With the continuous excavation of the health and skin care values of ginger products due to scientific and technological progress, the scale expansion and quality improvement of the ginger industry have been effectively promoted, forming an industrial cluster with rich germplasm resources and diverse product categories represented by the north and south regions of China, and China has been developed as the biggest producer and exporter of raw materials and processed products of ginger.The present situation of ginger germplasm resources, ginger production, market price, and quality control of ginger products was reviewed in this paper. According to data from the Food and Agriculture Organization of the United Nations(FAO), United Nations International Trade Database, Chinese Network for Ginger Trade, and China Industry Information Network, the market fluctuation and trend of ginger products in China and abroad were discussed, and the current development and utilization of Chinese and international ginger industries were analyzed. In addition, through the research group's field investigation of the main producing area of ginger in China, analysis and prediction were made, and measures to improve the quality and efficiency of ginger industry use were put forward,so as to offer experience for relevant departments to study and formulate the development plan and production layout of ginger industry,help practitioners in ginger industry to cope with challenges, and provide a reference for promoting the quality and efficiency of ginger industry and high-quality development.

Optimization Study of the Production Layout in the Trouser Workshop of GR Company

GR Company, as a traditional clothing manufacturing enterprise, the suit trousers production workshop has the problems of irrational facility arrangement, poor space utilization leading to long material handling routes, inconvenient employee pick-up and space wastage. Considering the current development, this paper, based on SLP theory, draws a comprehensive relationship map of operations by collating and analyzing the interrelationships between logistics and non-logistics of the production process and operation units, and then re-plans and designs the workshop in a reasonable way. The results show that: the location of the operating units is drawn out, combined with the actual demand for the area of each operating unit, the preliminary design of the two layout schemes; the weighted factor method and scoring method are used to select the optimal layout of the more reasonable scheme 1. The distance of material handling is shortened between the various operating units to reduce the cost, improve the production efficiency and space, so as to enhance the competitiveness and sustainable development of the enterprise.

Shopping Cart Analysis to Support Business Management with the Apriori Algorithm

The increasingly advanced development of the business world has led to increasingly fierce competition. One way to maintain the company's survival is to maintain good relationships with customers. Each market has its own way of increasing sales. Serambi Mart is one of the minimarkets operating in Batusangkar City. This minimarket is relatively new because it has been operating since 2020. Even though it is new, this minimarket is quite busy with consumers visiting for shopping, this is due to Serambi Mart management choosing the right location. Based on observations made, product layout arrangements are still based on subjective management, so there are several products that are not suitable to be compared. The layout seems messy, causing difficulties for consumers in shopping. By utilizing sales transaction data at Serambi Mart. This research uses the Apriori algorithm. The Apriori algorithm is an association rule and looks for relationship patterns between one or more items in data, using Association Rules with Minimum Support of 30% and Minimum Confidence of 50%. Therefore, an application is needed that can help Serambi Mart to get information. One way to get this information is to utilize data mining techniques. By using the Apriori Algorithm method for arranging the product layout at Serambi Mart, it is hoped that it can provide convenience to consumers who shop