Production Layout Research Articles

Iterative design of aircraft airframe components and assemblies

The rationale for the purpose of this article is the need to reduce the weight of aircraft structures while increasing strength, as well as reducing the time spent on design. Weight reduction leads to an increase in the take-off weight of the aircraft, which has a positive effect on the efficiency of the aviation complex. This method consists in iterative modeling of loads acting on the structure in CAM programs. The iterative design method is applicable at all stages of the development of airframe units. It allows you to see the areas with the lowest and highest stresses. The underloaded parts of the structure are lightened, and the overloaded ones are strengthened. Thus, the refinement of geometric parameters is achieved, and it also becomes possible to optimize the cons.The iterative method makes it possible to reduce the design time of components and assemblies, to obtain a more perfect design in terms of mass and strength characteristics, as well as to automate the process of developing components and assemblies using hardware and software tools. The approaches proposed in this paper make it possible to create an electronic product layout that can be used throughout the entire product life cycle, which reduces the amount of human, material and financial resources used.

Facility layout design for modular construction manufacturing: A comparison based on simulation and optimization

With modular construction reviving around the world, a significant portion of on-site works is now mass-produced as modules in factories, shifting Modular Construction Manufacturing (MCM) from a traditional oxymoron to an upfront challenge for project or production managers. Nevertheless, little is known about such MCM in a factory, e.g., the production line layout. This paper identifies the optimal Facility Layout Design (FLD) for MCM in a factory by simulating and optimizing a real-life case. Firstly, the workflows and schedules of MCM are collected and re-engineered into nine categories. Then, data is collected and implemented to five candidate FLDs for simulation and optimization. The results show that ‘cellular layout’ has the most output and ‘product layout’ is the most economical selection in the case factory. This research sheds light on the uncharted area of MCM. It also calls for more studies to examine Industry 4.0 advances in transforming the traditional construction industry.

PROCEDURE OF APPLYING THE GENETIC ALGORITHM FOR THE CREATION OF A PRODUCTION LAYOUT

Due to the rapid increase and development of new information technologies, it is now possible to collect real data from the production process, thereby creating an image of a real plant in a virtual environment. The concept of a digital twin in the design of production systems consists of creating a digital twin of the entire production plant, which consists of a digital, real and virtual enterprise, which is a fundamental difference between the design of production systems in the concept of a digital enterprise and in the concept using a digital twin. The paper deals with the methodology of data collection, layout creation and the company's digital twin. The practical benefits of the proposed solution are mainly from the point of view of reducing the necessary time when designing the production layout, especially in the phase of variant design. Closely related to this is the possibility of checking a larger set of solutions, taking into account various limiting conditions. As this proposed solution reduces the time required in the phase of variant design, costs necessary for the creation of a new or changing production layout are reduced.

Analisis Keputusan Konsumen Berbelanja di Toko UD. Winmart Singaraja

This research was conducted at the UD. Winmart Singaraja store to determine the effect of product completeness, product layout, price, and location in consumer decisions to do shopping. The approach in this study uses a quantitative approach, where the data collection technique used in this study is a questionnaire with a rating scale measurement of 1-10, and the respondents are consumers from UD. Winmart Singaraja stores as many as 100 people. In this study, the data analysis technique used is the Multiple Linear Regression Model with the help of the SPSS Statistics application. The results obtained indicate that each independent variable used in this study has a positive and significant influence on purchasing decisions at UD. Winmart Singaraja Stores.

Product Design Concept Analysis Using Grey Relational Analysis

In this from analysis GRA method is the most ideal solution Short-distance and negative-best The solution with the longest distance from the solution Determines, but the comparison of these distances Does not consider importance. From the result it is seen that Design 2 is got the first rank where as is the Design 5 is having the lowest rank. The definition of product design is that of solving users’ troubles or in a given marketplace Imagine, creates and recreates products that cope with particular desires Describes implementation. The key to a success product design is give up consumer Understanding the client is the individual for whom the product is made. Of product layout Definition, solving users' issues or addressing particular wishes in a given marketplace Describes imagining, growing and re-enforcing making products. The key to a success product design knows the stop-person customer, for whom the product is the man or woman who's being created. The MOORA technique turned into first added by means of the Multi-cause optimization technique, which solves a number of complicated selection-making issues in the manufacturing surroundings Can be used efficiently. Multi-Objective Optimization System Ratio Analysis (MOORA) One of the MADM techniques is the sort of potential college students. Alternative: Design 1, Design 2, Design 3, Design 4, Design 5. Rating Option: Expected mechanical safety, wear size, operating and Maintenance cost, high load balance of a machine. Product design concept from the result it is seen that Design 2 and is got the first rank whereas is the Design 5 got is having the lowest rank.

Penerapan Metode K-Means Dalam Menentukan Klasifikasi Produk Pembelian Pelanggan

According to the survey, there are approximately 3,500 types of food and non-food products available at competitive prices, meeting almost all the daily needs of consumers. With a fairly large number of transactions, companies need analysis and classification tools to provide useful information for companies in determining the layout of goods, what goods are most in demand by consumers and others. Determination of the layout of food and beverage products is carried out to make it easier for consumers to find food and beverage products so as not to disappoint consumers in finding the location of which products are suitabel to be combined with other products that are often in demand by consumers so that consumers can save time. Based on the description above, a data mining analysis tool is needed using Association Rules to be processed using the K-Means method. Currently, the utilization of the available data has not been maximized, it is only limited to making reports.

Spatial and Temporal Characteristics, Evolution Law and Improvement Path of China’s Animal Husbandry Production Pattern

To examine the evolutionary pattern of livestock production activities in China, this paper analyzes the livestock production pattern from 1995 to 2020 using the models of center of gravity shift, spatial agglomeration and binary structure equilibrium index. The results show that: (1) overall, the degree of geographic agglomeration of China’s livestock industry shows a weak trend of enhancement, the center of gravity of production moves to the northwest, the main production areas gradually move to the three northern regions, and Inner Mongolia and Liaoning become emerging large livestock production provinces; (2) in terms of classification, there are obvious geographical characteristics in the movement of the center of gravity of production of various livestock products; some livestock product production is highly concentrated in a few provinces and produces (3) “Zhongtiao Mountains-Taihang Mountains” has become an important geographical division of spatial division of labor for livestock products in China, and the North China Plain and Loess Plateau on the left and right sides have become the landing areas of the center of gravity for the production of grain-consuming and herbivorous livestock products, respectively; 2006 was the peak of spatial concentration of livestock industry in China. 2006 is not only the peak inflection year of spatial concentration of livestock industry in China, but also the turning point of balanced development of grain-consuming livestock industry and herbivorous livestock industry. Therefore, following the intrinsic requirements of the new development concept on productivity layout, it is proposed to comprehensively implement the green spatial layout strategy, deeply promote the innovation of grass-livestock balance system, construct the green production mode of animal husbandry, coordinate and promote the “one place, one product” characteristic animal husbandry industrialization project and promote the transformation from a large country of animal husbandry production to a strong country of animal husbandry industry.

Characteristics and Spatial-Temporal Differences of Urban "Production, Living and Ecological" Environmental Quality in China.

The article analyses the spatial and temporal differences in the environmental quality of production, living and ecology of 285 cities in China from 2010 to 2020 by using the entropy method, the Theil index and correlation analysis. The study concludes the following: (1) in terms of overall differences, the overall differences in the "production, living and ecological" environmental quality indices of 285 cities during the study period undergo a process of "narrowing-widening-narrowing". The differences within the four major zones of the country are higher than those between the four major zones, and the differences within the zones show an increasing trend year by year. (2) In terms of temporal differences, the combined scores of "production, living and ecological" environmental quality of the 285 cities in the study period show a decreasing trend, and the contribution of the PLE subsystem scores are, in descending order, production environmental quality > living environmental quality > ecological environmental quality. (3) In terms of overall ranking, the head effect of the combined production, living and ecological environmental quality (PLE) scores of cities in the study period is significant, and the top 10 cities in terms of combined scores are all small and medium-sized cities with significant regionalization characteristics. (4) In terms of spatial pattern, there is a significant spatial gradient in the east, central and western regions, with the overall PLE scores of the four major regions in descending order: eastern region > central region > western region > northeastern region. The regions with high scores in the "production, living and ecological" environmental quality of cities can be divided into three types: multi-core, dual-core and single-core. (5) In terms of influencing factors, there is a logarithmic curve relationship between the combined production, living and ecological environmental quality (PLE) score and the built-up area (BUA) of cities. The study proposes to optimize the layout of urban production, strengthen the industrial links of urban clusters, improve the level of public services, ensure the equalization of urban public services, strengthen the management of ecological environment and improve the quality of ecological environment in order to optimize the quality of urban "production, living and ecological" environment.

A hybrid model for value‐added process analysis of manufacturing value chains

AbstractIn the digital era, realising intelligent digital transformation is a major challenge in the manufacturing field. Digital transformation means bringing more profit appreciation. To improve the analysis reliability of value‐added processes, this study proposes a method for assessing enterprises value‐adding activities. For this purpose, a hybrid model is constructed based on data and mathematics, bridged by a server. The research builds an element group model that identifies data from different sources, and also gives a mathematical model to describe the relationship of the supply, marketing and service. Taking an automobile manufacturing value chain as an example, to theoretically analyse the composition of value‐added activities. Then, the assembly process of an automobile manufacturing plant was used as a value‐added case study. The simulation results show the impact of changing production layout and product handling angle on the whole value chain. The study can provide new ideas for the intelligent digital transformation of the manufacturing industry.

A geothermal-assisted layout for power production and carbon dioxide capture

Considering the high installation cost of renewable systems and reliance on weather conditions, as well as high energy consumption in post-combustion carbon capture system, the use of the combined method can assist to achieve net-zero carbon emission. Carbon dioxide (CO2) capturing based on renewable energies is introduced as a practical emission-control tool and method to tackle environmental, economic, and social challenges. In this study, to present a novel and optimized CO2 capture system an integrated layout is presented to facile and efficient utilization of fossil fuels. This layout is comprised of two sub-sections: a combined gas and steam power production unit, and a geothermal-assisted CO2 capture unit. The presented layout is simulated and its performance is evaluated concerning exergy analysis. In addition, sensitivity analysis is carried out to show the effect of changes in some influential parameters on the overall performance of the designed layout. Obtained results show that the presented scheme obtains a total thermal efficiency of 43.11%. In addition, the heat duty in the CO2 capture section is obtained to be 3.689 MJ/kgCO2 expressing the effectiveness of the presented scheme for the CO2 post-production procedure. The exergy study demonstrates that maximum irreversibility happens in the combustion chamber (47.43%), heat exchangers (35.05%), and turbines (6.257%). Besides, sensitivity assessments declare that the natural gas flow rate and the number of stages in the stripper column are the two crucial variables that also influence other functional parameters. The overall thermal efficiency increases up to 0.4331 and heat duty in the carbon dioxide capture section decreases to 3.725 MJ/kgCO2 when the stage number in the stripper column increases from 5 to 19.

Carbon capture and utilization via calcium looping, sorption enhanced methanation and green hydrogen: A techno-economic analysis and life cycle assessment study

• TEA and LCA of CaL and SEM integrated process for CO 2 capture & utilization. • The process has the advantage of avoiding a costly ASU for CaL. • LCA highlighted several environmental trade-offs. • Production cost for methane is higher than for natural gas but lower than for biomethane. • PEM electrolyzer accounts for most of the costs and environmental impacts of the process. The production of synthetic methane using CO 2 from flue gases and green hydrogen appears to be a promising way to combine the concepts of renewable energy, chemical storage, and utilization of CO 2 . Recently, a new reactor configuration for catalytic methanation has been proposed, integrating sorption-enhanced methanation and chemical looping in interconnected fluidized bed systems. This configuration would ensure high methane yields while keeping good temperature control and low operating pressure. In this work, such novel system layout for the catalytic production of methane was combined with a calcium looping unit for CO 2 capture from flue gases of a coal-fired power plant, and with a water electrolyzer sustained by renewable energy. The integrated layout offers a series of advantages deriving from the integration of different mass and energy flows of the different sections of the plant. The performance of this latter was assessed in terms of construction and production costs, as well as from an environmental point of view: a life cycle assessment was carried out to quantify the environmental impact of all process units. Results of the techno-economic analysis indicated that the production cost of methane is higher than that of natural gas (0.66 vs 0.17 €/Nm 3 ), but lower than that of biomethane (1 €/Nm 3 ). The largest impact on such costs comes from the PEM electrolyzer. The LCA analysis showed that the environmental performance is better in some categories and worse in others with respect to traditional scenarios. Again, the PEM electrolyzer appears to account for most of the environmental impacts of the process.

Evaluation Methods for Water Resource Suitability in Territorial Spatial Planning: A Case Study of Baiyin City in a Semi-Arid Region.

Water resources are a major factor in the spatial layout of agricultural production and urban construction, which is an important part of China’s ongoing territorial spatial planning. In order to assess the constraining and guiding effects of water resources on territorial spatial planning, water resources suitability evaluation needs to be carried out at the grid scale. Traditional basin or regional-scale indicators of water resources cannot satisfy the requirements with high spatial accuracy in territorial spatial planning, because the internal differences could not be described. In this study, irrigation water supply cost index (CIA) and urban water supply cost index (CIU) were evaluated to characterize the affordability of potential water supply costs by simulating of optimal water supply path. Further, grid-scale indexes of water resource suitability for agricultural production (WRSA) and for urban construction (WRSU) were constructed. The grades of WRSA and WRSU were classified at a 20 m grid scale in Baiyin City. The areas of water resources that were suitable, relatively suitable, less suitable, and unsuitable for agricultural production were 381.0 km2, 3354.7 km2, 3663.9 km2, and 12,700.7 km2, respectively, accounting for 1.9%, 16.7%, 18.2%, and 63.2% of the total area of Baiyin City. The areas of water resources that were suitable, relatively suitable, less suitable, and unsuitable for urban construction were 1657.7 km2, 4184.5 km2, 1177.7 km2, and 13,075.7 km2, respectively, accounting for 8.2%, 20.8%, 5.9%, and 65.1% of the total area of Baiyin City. Coupling analysis with land use and land resources suitability were carried out in this study, which showed that the grid-scale WRSA and WRSU could well characterize the spatial differences of water resources suitability for agricultural production and urban construction. The results of the Geodetector-based study show that the WRSA and WRSU indicators have better explanatory power for the land-use spatial distribution compared to indicators such as water distance. Therefore, the indexes could provide scientific support to delimit agricultural space and urban space, and are effective means of “determining regional functions by water resources“ in territorial spatial planning. Furthermore, the indexes could be applied to other arid and semi-arid areas, and also hilly areas, where water supply suitability plays a restrictive role in agricultural production and urban construction.

The Restriction Factors and Mechanism Analysis Model Design of the Commercial Serious Disease Insurance in Connection with Serious Disease Insurance

Based on the internal and external constraints of serious disease insurance and commercial serious disease insurance, the logistic model of “whether you are willing to connect with commercial serious disease insurance on the basis of serious disease insurance” and “to understand the objective conditions of the connection between serious disease insurance and commerci”a“ serious disease insurance” is designed. Based on the empirical research on the micro survey panel data of 6 municipal districts in W City in April 2020, the following research results are obtained: among the many influencing factors, “health status,” “per capita family income,” “gender,” “age,” “education level,” “number of children,” “operating rules,” “public value recognition,” “settlement linkage” Internal Factors of “Information Mastery” and “Implicit Restrictions.” Therefore, the family should be insured in the optimal allocation of family members in the order of “family pillar-children-the elderly” and the scientific layout of insurance products on the basis of family per capita income. The government should promote the institutional integration by strengthening the mechanism construction, building an information platform, and optimizing the management system, so as to promote the health big data sharing, and provide a superior environment for the connection between serious disease insurance and commercial serious disease insurance.

Evaluation and Analysis of Electric Power in China Based on the ARMA Model

With the rapid development of China’s economy, power demand has been closely linked with economic development in order to analyze and predict the future power situation in China. Based on the historical data of China’s electricity consumption, this paper analyzes the data characteristics of China’s electricity consumption by using Eviews software. The long-term trend of power consumption sequence is eliminated by fitting the regression curve, and then the residual sequence is analyzed and identified according to the relevant theory of time series. Using the data of China’s power demand from 2004 to 2019, the ARMA time series model is used to analyze China’s future power situation finally according to the test statistics of the model. Finally, the exponential regression ARMA model is selected to predict China’s electricity consumption. The index regression analysis method extracts the long-term characteristic information of the sequence, which is conducive to the stability processing and empirical analysis of long-term prediction. The result predicts China’s power demand in 2020 more accurately, which can provide a reference for the future productivity layout of China’s power.

The impact of climate change on maize production: Empirical findings and implications for sustainable agricultural development

Continuous warming climate conditions have triggered numerous extreme weather events, exerting an unprecedented impact on agricultural and food production. Based on the panel data of 3,050 small farmers engaged in maize planting from 2009 to 2018 and collected by the National Rural Fixed Observation Point in China, this study uses the Transcendental Logarithmic Production Function model to estimate the impact of temperature, precipitation, and sunshine hours on maize output. Further, considering climate condition heterogeneity, this study analyzes the development potential of five major maize production areas in China. Results show that temperature and precipitation have a positive impact on maize output and that insufficient sunshine hour is an obstacle to the growth of maize output. Five major maize production areas are affected by climate condition differently, entailing the need for tailored response measures. Additionally, land, labor, and material capital input are key factors affecting maize output. Based on conclusion, we put forward the following suggestions to promote sustainable agricultural production, including strengthening the prediction of temperature, precipitation, and sunshine hours in major maize production areas, optimizing the agricultural production layout and the planting structure based on local endowment, enhancing farmers’ adaptive behavior training toward climate change, developing irrigation and water conservation projects.

Land use optimization in Ningbo City with a coupled GA and PLUS model

Industrialization and urbanization have resulted in a series of problems such as an excessive intensity of land utilization and an unbalanced structure of land use. Contradictions and conflicts regarding different uses of land are becoming increasingly problematic. The question of how to coordinate the competition among the driving factors of land resources and how to balance and optimize land use types with different functions are urgent problems related to achieving sustainable development. In this study, the traditional model of the land use change process and a machine learning algorithm were integrated to establish an optimal land use allocation model considering macro-quantity control and spatial unit allocation. Taking Ningbo as an example, on the basis of considering the function of land resources and the driving mechanism of land use change, genetic algorithm (GA) and patch-generating land use simulation (PLUS) model were used to optimize the quantitative structure and spatial layout of production−living−ecological land (PLEL), respectively. The GA-PLUS model demonstrated strong robustness. The results show that Ningbo covers a total land area of 9816 km2, and the rates of increase in the area of production land (PL), living land (LL) and ecological land (EL) in Ningbo from 2010 to 2018 were −2.04%, 10.07% and −0.69%, respectively. The main problems were the unbalanced distribution of PLEL, the disordered expansion of industrial production land (IPL) and LL, occupying 3.07% of agricultural production land and 0.67% of EL. Guided by Sustainable Development Goals, the construction goals related to the Beautiful China policy and the development planning goals of Ningbo city, the collaborative optimization of the quantitative structure and spatial layout of PLEL in Ningbo can be realized through the GA-PLUS model. In terms of quantitative structure, Ningbo needs to control the total amount of construction land in the future, and improve the proportion of LL and EL, about 13.04% and 51.75%. In terms of spatial layout, it is necessary to build industrial clusters for IPL in coastal areas, improve the suitability of EL in the north of Ningbo, and address the fact that it is difficult for LL to expand due to the influence of the complex terrain in Yuyao and Xiangshan. The results of this study can guide the optimization and development path of the territorial space of Ningbo, and provide technical support for decision-makers to formulate targeted land space planning and realize regional sustainable development.

An Enhanced Multiobjective Double Row Layout Model considering the Machine Breakdowns.

Machine breakdowns (MB) often occur, resulting in changes in the production layout and the material flow and causing a surge in production cost. Obviously, it is imperative to consider MB in workshop layout. Scholars mainly focus on the double row layout problem in an ideal nonfailure condition while scarcely considering MB mentioned above in the layout field. This paper proposes an enhanced multiobjective double row layout model considering MB (MDRLP-MB) to fill the research gaps. That model adds redundancy to reduce the losses caused by machine failure based on the prediction of breakdowns. In MDRLP-MB, machines with the same machine type have the same size and failure rate. Besides, this paper redefines the biobjectives of material handling costs (MHC) and the utilization ratio based on the feature of MDRLP-MB. To reduce the complexity of the problem, a decision rule is developed to reduce the alternative machine types. Furthermore, it revises the NSGA-II to solve the MDRLP-MB effectively. Results of numerical experiments and application cases show MDRLP-MB can obtain the optimal set of Pareto solutions in the case of increasing different numbers of redundancy considering MB to provide a more refined layout scheme for decision making.

Integrating SLP with simulation to design and evaluate facility layout for industrial head lettuce production

Integrating SLP with simulation to design and evaluate facility layout for industrial head lettuce production

Life cycle assessment and sustainable production evaluation of calcium carbide industry in China

With the rapid development of the calcium carbide (CaC2) industry in China, the growth in CaC2 demand is confronting an increasing pressure to reduce environmental emissions. However, the environmental impacts of CaC2 production remain poorly understood. Life cycle assessment is employed in this study to provide a comprehensive analysis of the environmental performance of CaC2 production in China. The results show that the environmental load of the semi-closed furnace process is higher than that of the closed furnace process. Electricity supported by thermal power is the most sensitive factor. A significant regional layout of CaC2 production, adjoining the coal-electricity-intensive areas, has been observed in China. The sustainable scenarios are developed to evaluate the environmental reduction potential in terms of technical progress and electric grid improvement. It is noted that increasing the proportion of renewable power in the electric grid has obvious environmental benefits for CaC2 production. The average energy conservation and emission reduction index of CaC2 production in the northwest China is 1.81–2.10 times higher than that in the southwest China. The findings of this study will give a reference for the decision-makers to take conducive emission reduction measures for the sustainable development of the CaC2 industry in China.

PRODUCTION PROCESS WASTE ANALYSIS WITH LEAN MANUFACTURING APPROACH IN COPPER CRAFTS INDUSTRY

Competition in the industrial world is increasingly making manufacturing companies to continue to improve continuously the quality, price, quantity of production and timely delivery of their products to provide satisfaction to consumers/customers. In the research analyzed, namely the waste that occurs in the copper craft industry UD. Setya Budhi, and this study aims to analyze waste and what are the factors causing it. This study uses a Lean Manufacturing approach with data processing using the Value Stream Mapping (VSM) and Failure Mode And Effect Analysis (FMEA) methods. The data needed for this research starts from observations of the work environment, facility layout, production flow and production time. As well as the stages of interviews and questionnaires to complete the required data. From the analysis using the Value Stream Mapping (VSM) method, the results obtained are 71.60% value added, 7.39% non value added, and necessary but non value added 21.01%, then the analysis uses the Failure Mode And Effect method. Analysis (FMEA) obtained the highest RPN value from Waste Defect of 252 points, Waste Waiting 590 points, Waste Transportation 600 points, and Waste Motion 700 points, which means that there is still waste that occurs in the company. So it is necessary to have a significant evaluation of the layout of the facility or production layout and the provision of SOP classification in each department.