scholarly journals An Analytical Study of the External Environment of the Coevolution between Manufacturing and Logistics Based on the Logistic Model

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Yunfei Zhou ◽  
Li Yan
Keyword(s):  
Logistic Model ◽  
Manufacturing Industry ◽  
Analytical Study ◽  
Institutional Environment ◽  
Estimation Method ◽  
Environmental Capacity ◽  
Logistics Industry ◽  
Nonlinear Variation ◽  
Industrial Economy ◽  
Two Factors

This paper focuses on the external environmental capacity of the coevolution system of the manufacturing industry and logistics industry. This paper first constructs a dynamic model of the external environmental capacity of the coevolution system by using the logistic model and then simulates the effects of two factors: one factor is the institutional environment affected by the random interference factors of policy and the other factor is the industrial environment affected by the random interference factors of the industrial economy on the coevolution system. This paper discusses the cooperative mechanism of external random interference factors on system evolution, analyzes the nonlinear variation of external environmental factors with time, and gives the estimation method. Finally, we provide an example to prove our findings.

scholarly journals Using a Novel Grey DANP Model to Identify Interactions between Manufacturing and Logistics Industries in China

2018 ◽  
Vol 10 (10) ◽  
pp. 3456 ◽  
Author(s):  
Peng Jiang ◽  
Yi-Chung Hu ◽  
Ghi-Feng Yen ◽  
Hang Jiang ◽  
Yu-Jing Chiu
Keyword(s):  
Manufacturing Industry ◽  
Multiple Criteria Decision Making ◽  
Value Added ◽  
Manufacturing Industries ◽  
Direct Influence ◽  
Key Factors ◽  
Logistics Industry ◽  
Influence Matrix ◽  
Factors Affecting ◽  
Two Factors

As a crucial part of producer services, the logistics industry is highly dependent on the manufacturing industry. In general, the interactive development of the logistics and manufacturing industries is essential. Due to the existence of a certain degree of interdependence between any two factors, interaction between the two industries has produced a basis for measurement; identifying the key factors affecting the interaction between the manufacturing and logistics industries is a kind of decision problem in the field of multiple criteria decision making (MCDM). A hybrid MCDM method, DEMATEL-based ANP (DANP) is appropriate to solve this problem. However, DANP uses a direct influence matrix, which involves pairwise comparisons that may be more or less influenced by the respondents. Therefore, we propose a decision model, Grey DANP, which can automatically generate the direct influence matrix. Statistical data for the logistics and manufacturing industries in the China Statistical Yearbook (2006–2015) were used to identify the key factors for interaction between these two industries. The results showed that the key logistics criteria for interaction development are the total number of employees in the transport business, the volume of goods, and the total length of routes. The key manufacturing criteria for interaction development are the gross domestic product and the value added. Therefore, stakeholders should increase the number of employees in the transport industry and freight volumes. Also, the investment in infrastructure should be increased.

INTELLIGENT OPTIMIZATION SYSTEM FORMULATED ON INDUSTRIAL INTERNET PLATFORM

2021 ◽  
Vol 71 (10) ◽  
pp. 75-79
Author(s):  
Sabuhi Farasat Rahimli ◽  
Keyword(s):  
Manufacturing Industry ◽  
Industrial Revolution ◽  
Data Gathering ◽  
Intelligent Optimization ◽  
Industrial Economy ◽  
Optimization System ◽  
Industrial Enterprises ◽  
Huge Data ◽  
Industrial Internet ◽  
Internet Platform

The opinion of "Industrial Internet" was first suggested by General Electric. As a modern infrastructure of the 4 -th industrial revolution, Industrial Internet has become a substantial mechanism to actualiza digital revision of industrial economy. The Industrial Internet platform is a system formulated on huge data gathering, accumulation and analysis, which is based to the necessity of digitalization, networking and philosophizing of manufacturing industry. In order to settle the problems of actual rearward industrial data, improve the capacity of data acquisition and deal with the industrial interconnection platform, the industrial intelligent optimization system generates the product services needed by industrial enterprises and realizes the object of industrial optimization. Key words: Industrial Internet; industrial intelligence; industrial mechanism

Management of logistics and marketing behavior of innovation clusters in territorial communities in the context of digitalization of society and the online market

2021 ◽  
Vol 7 (3A) ◽  
pp. 111-119
Author(s):  
Olena Lozhachevska ◽  
Tamara Navrotska ◽  
Olga Melnyk ◽  
Larysa Kapinus ◽  
Mykola Zos-Kior ◽  
...  
Keyword(s):  
Institutional Environment ◽  
Synergetic Effect ◽  
Industrial Economy ◽  
Innovation Clusters ◽  
Post Industrial

The article considers the process of improving the management of logistics and marketing behavior of innovation clusters in territorial communities in the context of digitalization of society and the online market. Attention is focused on the need for territorial communities to form an institutional environment favorable for the development of innovation clusters. It is noted that the best synergetic effect from the functioning of innovation clusters is achieved mainly in a post-industrial economy with a supercompetitive environment.

scholarly journals The Mediating Role of Employees’ Green Motivation between Exploratory Factors and Green Behaviour in the Malaysian Food Industry

2020 ◽  
Vol 12 (2) ◽  
pp. 509 ◽  
Author(s):  
Ha Junsheng ◽  
Muhammad Mehedi Masud ◽  
Rulia Akhtar ◽  
Md. Sohel Rana
Keyword(s):  
Climate Change ◽  
United Nations ◽  
Environmental Ethics ◽  
Manufacturing Industry ◽  
Institutional Environment ◽  
Food Manufacturing ◽  
Mediating Role ◽  
Managerial Support ◽  
Food Manufacturing Industry

Global business entities face the challenge of incremental pressures to restructure their strategic alignments and capabilities to be in accordance with the sustainable development initiatives of the United Nations. This study endeavours to investigate the mediating role of employees’ green motivations in the relationships of environmental ethics, the institutional environment, and managerial support with the green behaviour of companies in the Malaysian food manufacturing industry. Data were collected using a questionnaire survey completed by 230 respondents to achieve the study objectives. The respondents consisted of CEOs, company managers, marketing managers, human resources department managers, concerned authorities from environmental protection departments, and producers in the Malaysian food manufacturing industry. The study found that environmental ethics, the institutional environment and managerial support play significant roles in motivating employees’ green activities within organisations, while employees’ green motivation substantially contributes to the green behaviour of the company. This study also revealed that employees’ green motivation plays an important mediating role in the relationships of environmental ethics, the institutional environment, and managerial support with the green behaviour of the company. The implications of this study will be important for allowing governments to take instantaneous action for their climate change pledges to the United Nations Framework Convention on Climate Change (UNFCCC) following the Paris Accord of 2015 and the Marrakech Proclamation of 2016.

scholarly journals Identifying Potentiality Online Sales In Malaysia: A Study On Customer Relationships Online Shopping

2011 ◽  
Vol 22 (4) ◽  
Author(s):  
Ahasanul Haque ◽  
Javad Sadeghzadeh ◽  
Ali Khatibi
Keyword(s):  
Significant Relationship ◽  
Logistic Model ◽  
Online Shopping ◽  
Family Income ◽  
Customer Relationships ◽  
Font Size ◽  
Online Behavior ◽  
Online Sales ◽  
Significant Difference ◽  
Two Factors

<p class="MsoNormal" style="text-align: justify; margin: 0in 34.2pt 0pt 0.5in;"><span style="font-family: Times New Roman; font-size: x-small;">Understanding of consumers buying pattern through internet and motivation of consumers to online shopping and what product has potential of online sales are critical questions. The purpose of this study was to identify the potential of online sales. The study started with verifying consumer online behavior and model of potential of online sales. The results showed only two factors, gender and family income was significant relationship with overall attitudes towards online shopping. In addition, results indicated that weekly internet use, having experience in e-shopping, and willingness to shopping online in the future have significant relationship with overall attitude towards online shopping. Moreover, results<span style="mso-spacerun: yes;">&nbsp;&nbsp; </span>proved that there is significant difference between human senses in online decision-making process and it is explored to customers who experienced shopping a product or they were satisfied previously, which have stronger confidence to do online shopping. The estimation of Logistic model shows that potential of online sales is affected significantly by consumer overall attitudes towards online shopping, product type, familiarity and confidence. </span></p>

scholarly journals Environmental Pollution Effects of Regional Industrial Transfer Illustrated with Jiangsu, China

2021 ◽  
Vol 13 (21) ◽  
pp. 12128
Author(s):  
Guangxiong Mao ◽  
Wei Jin ◽  
Ying Zhu ◽  
Yanjun Mao ◽  
Wei-Ling Hsu ◽  
...  
Keyword(s):  
Environmental Pollution ◽  
Manufacturing Industry ◽  
Time Series Data ◽  
Estimation Method ◽  
Raw Material ◽  
Series Data ◽  
Pollution Load ◽  
Pollution Effects ◽  
Industrial Transfer ◽  
Southern Jiangsu

Industrial transfer is reshaping the geographic layout of industries and facilitating the transfer and spread of environmental pollution. This study employs the pollution transfer estimation method to discuss the environmental effect of industrial transfer. By compiling statistics on industries of a certain scale according to time-series data, the researchers compute the pollution load generated by industrial transfer and the difference in pollution emissions for each region and industry. Through the constructed evaluation model, the empirical scope is Jiangsu, which is the most developed industry in China. The results reveal that there is an apparent spatial hierarchy among the transferred industries in Jiangsu. Most industries transfer from the southern Jiangsu region toward the central Jiangsu and northern Jiangsu regions. Environmental pollution is redistributed among prefecture-level cities because of intercity industrial transfer; the spatial characteristics of pollution exhibit a notable hierarchical pattern. Furthermore, the transferred pollution load differs considerably between industries. The textile industry and chemical raw material and chemical product industry are mainly transferred toward the Central Jiangsu and Northern Jiangsu regions, whereas the papermaking and paper product manufacturing industry is primarily redistributed to the Southern Jiangsu region. The empirical results can serve as a reference for analyzing the environmental pollution effects of regional industrial transfer.

127 Analytical Study on Stress Estimation Method by Dynamic Hardness

2001 ◽  
Vol 2001.14 (0) ◽  
pp. 53-54
Author(s):  
Satoshi HANAWA ◽  
Masahiro ISHIHARA ◽  
Tsuneo Takahashi
Keyword(s):  
Analytical Study ◽  
Estimation Method ◽  
Dynamic Hardness ◽  
Stress Estimation
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