Research on Optimization of Multi-Commodity Supply and Demand Logistics Network Based on Supernetwork

2018 ◽  
Vol 16 (3) ◽  
pp. 78-93
Author(s):  
Yongtao Peng ◽  
Yaya Li ◽  
Meiling He
Keyword(s):  
Supply And Demand ◽  
Quantitative Description ◽  
Network Models ◽  
Projection Algorithm ◽  
Logistics Network ◽  
Matching Degree ◽  
Supply Capacity ◽  
Logistics Demand ◽  
The Impact ◽  
The Relationship

For the realization, a qualitative and quantitative description of matching degree between the elements for logistics supply network and demand network, logistics super network models are constructed by the theory of super network. Faced with the problems of diverse demand and massive circulation for commodities, this article studies the structure of the logistics super network of multi-commodity circulation and establishes the continuous cost function of the logistics demand and supply, reflecting the logistics cost of different commodities in different phrases. This article aims to establish the optimization model of logistics supernetwork by aiming to maximize the matching of supply and demand of multi-commodity. The model is transformed into the variational inequality problem, and proves the existence and uniqueness of the equivalence solution. Use the case of the logistics supernetwork of coal, a modified projection algorithm is adopted and the fact is revealed that improving the supply capacity of the network matching may have the original 81.3% increase to 90.5%, improving the impact of the relationship between trades, matching degree can be increased to 90.1%.

scholarly journals Analyzing the Manufacturing Supply Chain Performance for Urgent Item During COVID-19 Outbreak

2021 ◽  
Vol 9 (1) ◽  
pp. 15-31
Author(s):  
Ali Arishi ◽  
Krishna K Krishnan ◽  
Vatsal Maru
Keyword(s):  
Raw Materials ◽  
Early Stage ◽  
Supply And Demand ◽  
Network Models ◽  
Combine System ◽  
Neural Network Models ◽  
Digital Twin ◽  
Twin Model ◽  
The Impact ◽  
Reaction Patterns

As COVID-19 pandemic spreads in different regions with varying intensity, supply chains (SC) need to utilize an effective mechanism to adjust spike in both supply and demand of resources, and need techniques to detect unexpected behavior in SC at an early stage. During COVID-19 pandemic, the demand of medical supplies and essential products increases unexpectedly while the availability of recourses and raw materials decreases significantly. As such, the questions of SC and society survivability were raised. Responding to this urgent demand quickly and predicting how it will vary as the pandemic progresses is a key modeling question. In this research, we take the initiative in addressing the impact of COVID-19 disruption on manufacturing SC performance overwhelmed by the unprecedented demands of urgent items by developing a digital twin model for the manufacturing SC. In this model, we combine system dynamic simulation and artificial intelligence to dynamically monitor SC performance and predict SC reaction patterns. The simulation modeling is used to study the disruption propagation in the manufacturing SC and the efficiency of the recovery policy. Then based on this model, we develop artificial neural network models to learn from disruptions and make an online prediction of potential risks. The developed digital twin model is aimed to operate in real-time for early identification of disruptions and the respective SC reaction patterns to increase SC visibility and resilience.

scholarly journals The Grain Market between the Reigns of Alexey Mikhailovich and Catherine the Great: Was there a ‘Price Revolution’?

2021 ◽  
Vol 9 (3) ◽  
Author(s):  
Arthur Mustafin
Keyword(s):  
Eighteenth Century ◽  
Supply And Demand ◽  
Wide Range ◽  
Grain Market ◽  
The Impact ◽  
First Time ◽  
The Relationship ◽  
Regions Of Russia ◽  
Grain Prices

The author of this article attempts to reveal and systematise archival data on grain prices in Russia between the 1650s and 1700s and analyse their dynamics by comparing them with data for the eighteenth century. The study is based on a wide range of archival sources from the funds of the RSAAA (RGADA), CSA of Moscow (TsGA of Moscow), DM NLR (OR RNB), and SFI CANNR (GKU TsANO). The data from these sources make it possible to construct time series describing rye and oat price dynamics in the northern and central non-black earth regions of Russia. The author substantiates the homogeneity and reliability of the data received and determines the real prices. The resulting numbers make the author doubt the “price revolution” in eighteenth-century Russia. Throughout the eighteenth century, the average real prices remained below the level of the 1660s and 1670s. Only in the 1790s did prices briefly exceed this level. Overall, the Russian grain market was characterised by long-term price fluctuations. The author aims to explain this dynamic by analysing supply and demand in the grain market. More particularly, for the first time in the historiography, the author examines the connection between Russian grain prices and yield in the second half of the seventeenth and eighteenth centuries. It is established that in most cases, the relationship between these indicators was direct: as grain yield increased, prices did too. The article explains this seeming paradox. The data published by the author help not only to estimate the impact of various factors on grain prices during the period in question, but also solve practical tasks regarding various price indicators in grain equivalents.

scholarly journals Adaptable Source-Grid Planning for High Penetration of Renewable Energy Integrated System

Energies ◽  
2020 ◽  
Vol 13 (13) ◽  
pp. 3304
Author(s):  
Ming Tang ◽  
Jian Wang ◽  
Xiaohua Wang
Keyword(s):  
Renewable Energy ◽  
Network Structure ◽  
Supply And Demand ◽  
Integrated System ◽  
Planning Stage ◽  
Expansion Planning ◽  
High Penetration ◽  
Supply Capacity ◽  
Grid Planning ◽  
The Impact

To adapt to the growing scale of renewable energy and improve the consume ability of the power system, it is necessary to design a highly adaptable planning scheme for high penetration of the renewable energy integrated system. Thus, this paper firstly gives the conception of system adaptability and designs an adaptability index system, which considers the supply and demand balance, operation state, and network structure of the high penetrated renewable energy integrated system. It can help to comprehensively evaluate the system ability towards uncertain shocks. Then, a two-stage source-grid coordinative expansion planning model is presented. The adaptability indexes of supply and demand balance are used as objection of the source planning stage, the adaptability indexed of the operation state and network structure are used to guide the grid planning stage. The model is further solved based on the coordination between the source and grid planning stage. Finally, the case study verifies that the obtained optimal plan has good adaptability to the impact of renewable energy on the power supply capacity and security operation.

China’s trans-regional entrepreneurship

2014 ◽  
Vol 6 (3) ◽  
pp. 202-222 ◽  
Author(s):  
Lin Song ◽  
Christoph Winkler
Keyword(s):  
Supply And Demand ◽  
Entrepreneurial Activity ◽  
Significant Variable ◽  
Content Type ◽  
Fiscal Revenue ◽  
Rapid Pace ◽  
Entrepreneurial Activities ◽  
Innovation Clusters ◽  
The Impact ◽  
The Relationship

Purpose – The purpose of this article is to analyze the supply (technology, education, labour, unemployment and real estate development) and demand (fiscal revenue and resident income) factors that influence regional entrepreneurial activity in China. Entrepreneurship develops at a rapid pace in China with significant differences among the country’s regions. Design/methodology/approach – Statistics of 31 Chinese provinces from 2005 to 2010 were collected, and an econometric model of the panel data was established. Findings – Empirical results show that technology and employment positively impact on regional entrepreneurial activity. A subsequent analysis comparing data from 2005-2008 to 2009-2010 showed that different variables on regional entrepreneurship weaken during a period of financial crisis, with technology remaining as the only significant variable across all models. Finally, the study summarizes China’s entrepreneurial activity as primarily supply-driven. Research limitations/implications – This study is limited by the data sources and index design, which may not fully capture all influences on regional entrepreneurship to determine whether an inflection point or other interaction mechanisms exist. Practical implications – The study demonstrates a differential emphasis on the impact of economic supply factors in a developing economy to positively affect entrepreneurial activities and sustained economic growth at the regional level. Conversely, it can be inferred that increased government spending during an economic crisis positively influences regional entrepreneurial activities. Originality/value – The study contributes toward the development of a theoretical framework that emphasizes the relationship between entrepreneurial activities and its regional supply and demand factors. The overall model and findings highlight technology’s importance on the development of innovation clusters that spur industrial agglomeration.

scholarly journals Logistics network configuration for seasonal perishable food supply chains

2021 ◽  
Vol 14 (2) ◽  
pp. 135
Author(s):  
Javier Arturo Orjuela-Castro ◽  
Juan Pablo Orejuela-Cabrera ◽  
Wilson Adarme-Jaimes
Keyword(s):  
Supply Chain ◽  
Network Design ◽  
Food Supply ◽  
Supply And Demand ◽  
Food Supply Chain ◽  
Product Model ◽  
Mountain Areas ◽  
Logistics Network ◽  
Food Supply Chains ◽  
The Impact

Purpose: The location of actors and production, transformation, commercialization and distribution facilities generate the configuration of the perishable food supply chain (PFSC). The logistics network design (LND) lead to different supply, storage and distribution environments and result in flows, these logistics operations have an impact on the performance of the chain of fresh agricultural products. Specifically, in the PFSC with seasonality, a temporary imbalance between supply and demand is generated, which affects the balance in the flows and affects the losses, costs and response capacity. This research study that problem.Design/methodology/approach: A multi-echelon, multi-objective and multi-product model is established that determines the configuration of the logistics network of the PFSC with seasonally and allows actors to approach efficiency frontiers, which contribute to their permanence in the markets. The model was applied to the case of the perishable fruit supply chain, in a developing country, Colombia. The population information was taken from government surveys and studies, which allowed parameterizing the model.Findings: The application of model permitted to answer the next questions: How does improve the performance from PFSC through logistics network design? And, How the existence of smallholdings in food production and from retail merchants is preserved? In the perishable food supply chain.Social implications: Where the perishable food supply chain actors are located in non-efficient borders and their sustainability may be affected by competition factors, the stakeholders should focus on increasing food availability and reducing losses to improve access and therefore food security.Originality/value: A new model for the logistics network configurations of seasonal perishable fruit supply chain was development, the optimizing from five objectives with two sub-models is obtained, one for surplus and the other for the deficit moments. The model includes real conditions, such as, fruit loss due T0 and RH by different thermal floors and the means used for the transport of fruits in mountain areas at countries in route of development. The impact over the small producers, retailers and consumers in the times of scarcity or surplus was analyzed.

scholarly journals The impact of corruption on the shadow labor market

2021 ◽  
Vol 69 (2) ◽  
pp. 24-30
Author(s):  
M. Kirzhetska ◽  
Yu. Kirzhetskyy
Keyword(s):  
Regression Analysis ◽  
Labor Market ◽  
Social Protection ◽  
Supply And Demand ◽  
Economic Indicators ◽  
Common Interest ◽  
Tax Burden ◽  
Demand And Supply ◽  
The Impact ◽  
The Relationship

In this paper we analyze how corruption affects the shadow labor market and describe the facts of the relationship between corruption and the factors shaping shadow employment. Confirmation of relationship between the spread of corruption and shadow employment in Ukraine is the objective of this investigation, and its results are presented in this paper. In order to achieve the set goal, the authors developed scientific tasks to determine the factors stimulating shadow employment and to carry out correlation and regression analysis of the relationship between the Corruption Perception Index in Ukraine and the indicators stimulating the growth of shadow employment in Ukraine. Despite the absolute negative effect of the excessive spread of both corruption and shadow labor market on national economies, the authors suggest that corruption is an impulse for the growth of shadow labor market. The paper is based on the hypothesis that the individual motivation for participation in undeclared labor activities is of common interest for both employers and employees. Therefore, the authors describe the spread of the shadow labor market by means of indicators, which form shadow employment from the sidelines of supply and demand in this market. Thus, it is defined that the factors that form the shadow labor market from the supply sideline include: the level of unemployment; the level of migration; the level of wages and social security. The factors that form shadow employment from the demand sideline include: the level of tax burden on wages; staff turnover and the dynamics of the population level. The carried out regression analysis between the indicators of corruption and the factors that form shadow employment on the demand and supply sidelines shows that corruption has a significant impact on the level of unemployment in Ukraine, labor external migration, the level of poverty among the working population, the level of social protection and the level of tax burden. Therefore, the reduction in the corruption level will have a significant impact on the socio-economic indicators that incite shadow employment from both demand and supply sidelines on the unregistered labor. Our conclusions indicate that in order to improve the socio-economic indicators of economic development, which have an impact on the spread of the shadow labor market, the Government first of all should reduce the level of corruption in the economy.

scholarly journals The Relationship between the Elements of Marketing Mix and Consumer Behavior during Environmental Uncertainty:

2021 ◽  
Vol 5 (1) ◽  
pp. 50-55
Author(s):  
Manaf B. Raewf ◽  
Thabit H. Thabit ◽  
Yaser A. Jasim
Keyword(s):  
Consumer Behavior ◽  
Financial Crisis ◽  
Global Economy ◽  
Supply And Demand ◽  
Environmental Uncertainty ◽  
Global Pandemic ◽  
Two Cities ◽  
Spss Software ◽  
The Impact ◽  
The Relationship

Many companies are facing difficulties such as sales reduction due to the changing of consuming behavior during the period of crises. However, this research aims to understand consumer behavior, and identify influences on consumer behavior during environmental uncertainty, as well as, providing a conclusion for companies to handle the issues related to consumer needs during environmental uncertainty and crisis like COVID-19 pandemic. Therefore, managers are getting confused during the process of making marketing decisions. In addition, COVID-19 as a result of being a global pandemic, the global economy greatly affected and led to a financial crisis caused by the occurred lockdown, where the impact is not due to the disparity between supply and demand as the previous financial crisis. The researchers distributed questionnaires electronically during COVID-19 lockdown to analyze the consumer behavior in two cities of Iraq by using SPSS software, Cronbach’s Alpha, and Person Correlation were used to test the four hypotheses of research. The researchers concluded that environmental uncertainty clearly effects on the principles of consumer behavior. Moreover, during crises and pandemics such as COVID-19, the behavior of consumers is going to be changed. Additionally, the main findings were the positive relation of consumers' behavior with the price, quality, and the availability of product. While, there is a negative relation with advertisements.

Supply and Demand: A Framework for Explaining Variability in Dietary Intake and its Impact on Data

1997 ◽  
Vol 11 (4) ◽  
pp. 289-299 ◽  
Author(s):  
Gloria Joachim
Keyword(s):  
Dietary Intake ◽  
Supply And Demand ◽  
The Other ◽  
Important Relationship ◽  
Usual Intake ◽  
Health And Illness ◽  
The Impact ◽  
The Relationship ◽  
Over Time ◽  
Consumption Curve

Nutrition has an important relationship with health and illness. One difficulty in measuring intake is related to variability. The purpose of this paper is to examine 1) the impact of supply and demand on variability in data collected for dietary studies and 2) the relationship between data and estimates of usual intake. The forces of supply and demand over time generate a consumption curve for each food. Two types of consumption curves are identified. One curve is horizontal and represents staples that are steadily consumed. The other curve exhibits peaks and dips and is unique for each food whose consumption varies with time. The measurement of usual intake is discussed in. light of these two types of curves. Usual intake of foods whose consumption curve is horizontal could be read at any time since consumption does not vary with time. For all other foods, measuring usual consumption presents problems since the data vary with time. This examination indicates that foods whose consumption varies with time have unique properties that must be considered when attempting to calculate consumption. Suggestions are given to enhance measurement of consumption of these foods. Although excellent methodology currently exists for the calculation of intake, attention to the force of supply and demand with only serve to strengthen existing methods.

scholarly journals Fiscal Impacts of Changes in Population for Nonmetropolitan Areas of the Northeast

1978 ◽  
Vol 7 (1) ◽  
pp. 41-46 ◽  
Author(s):  
William F. Fox ◽  
Patrick J. Sullivan
Keyword(s):  
Local Government ◽  
Local Governments ◽  
Supply And Demand ◽  
Local Government Finance ◽  
Nonmetropolitan Areas ◽  
Fiscal Impacts ◽  
Local Government Expenditures ◽  
The Impact ◽  
The Relationship ◽  
Specific Concern

The recent reversal in the intraregional migration into non-metropolitan areas has generated a great deal of interest in the problems of local government finance. Of specific concern are the changes in local government expenditures and revenues that have accompanied population growth and decline and related shifts in population composition in nonmetropolitan areas of the Northeast. Using a supply and demand framework, it is argued that the approach used in previous studies of examining the relationship between growth rates and various fiscal variables leads to biased inferences regarding the impact of growth. By analyzing the impacts of changes in the socioeconomic make-up of the population which often accompany growth and decline, the study increases the understanding of fiscal strains on local governments resulting from population shifts.

Tanneries and Treescapes: the Influence of the Tanning Industry on Woodland Management

2018 ◽  
pp. 249-257
Author(s):  
Christine Handley ◽  
Ian D. Rotherham
Keyword(s):  
Supply And Demand ◽  
Economic Value ◽  
Economic Conditions ◽  
Tree Bark ◽  
The Usa ◽  
The Uk ◽  
The Impact ◽  
The Relationship ◽  
Tanning Industry

The relationship between supply and demand for wood, timber and bark in different markets, geographical areas, and times is complex, but there are common themes. These relationships have influenced the form, structure and management of woodlands; and their legacies can be seen today. Using examples from the UK and the USA, these common themes are considered and some complexities arising from responses to local economic conditions highlighted. Bark is sometimes described as a waste by-product of other wood and timber industries. However, it is clear that with the high economic value of the tanning industry as a whole, and the central role of leather goods in society for centuries, the impact on woodlands to ensure a ready supply of tree-bark for tanning varied but could be immense.

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