The History and Prospect of ERP Application of Chinese Manufacturing Enterprises

2010 ◽  
Vol 42 ◽  
pp. 367-370 ◽  
Author(s):  
Wu Ji Jiang ◽  
Jia Bing He ◽  
Zhi Gang Jin
Keyword(s):  
Manufacturing Industry ◽  
Early Stage ◽  
Low Cost ◽  
Successful Implementation ◽  
The Road ◽  
Manufacturing Enterprises ◽  
Level Information ◽  
Erp Software ◽  
Chinese Manufacturing Industry ◽  
High Level

Since the end of the 1970s and early 1980s, with the introduction of foreign MRPII/ERP software and the advanced business management thought Chinese manufacturing industry began the road to high-level information. After 30 years of development, Chinese manufacturing industry has experienced 20 years start-up and early stage, main features of this period were long-period implementation, expensive spending and poor flexibility, coupled with the low management level and out-dated IT technology. The probability of successful implementation of enterprise ERP is very low. Since then the stage was more than 5 years of growth, and the characteristics of this period were the domestic ERP software. With simple application, short cycle implementation and low cost, many small and medium-sized enterprises had carried on successful application. Since 2005, our country enterprise ERP application entered maturity, the main features of this period are wider range and improving success rate of ERP application. The article also pointed out the deficiencies of ERP applications in different periods, and its development prospects are ERPII

The Effects of Top Management Support on Information System Success: Manufacturing Industry Cases

2012 ◽  
Vol 157-158 ◽  
pp. 344-348 ◽  
Author(s):  
Xiao Chun Chen ◽  
Zhao Zhao ◽  
Yun Feng Wang
Keyword(s):  
Information Systems ◽  
Manufacturing Industry ◽  
Success Factors ◽  
Top Management ◽  
Management Support ◽  
Information Systems Success ◽  
Top Management Support ◽  
Manufacturing Enterprises ◽  
Study Approach ◽  
Chinese Manufacturing Industry

Top management support (TMS) is one of critical success factors of information systems. However, prior research had no agreement on the contents, forms and roles of TMS. Especially, studies conducted in Chinese manufacturing industry context were scarce. This paper constructed a model to describe the effects of TMS on information systems success and the reactions. Following multi-case study approach, it collected the qualitative data from eleven manufacturing enterprises, and nine of which were got together through interviewing the CIOs. As result, the conceptual model was supported. The findings have significant meanings for practice.

An empirical investigation of the relationship among agile manufacturing practices and business performance: a pilot study

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rahul Kumar ◽  
Kanwarpreet Singh ◽  
Sanjiv Kumar Jain
Keyword(s):  
Pilot Study ◽  
Performance Measures ◽  
Business Performance ◽  
Manufacturing Industry ◽  
Low Cost ◽  
Agile Manufacturing ◽  
Successful Implementation ◽  
Content Type ◽  
Business Performance Measures ◽  
The Relationship

Purpose Agility addresses vibrant solutions for running companies to meet the dares of customers asking for high quality and low- cost goods and services. The purpose of this study is to identify the practices for the successful implementation of agile manufacturing and measure their relationship with business performance measures of the manufacturing industry. Design/methodology/approach The data for the pilot study were collected from 26 respondents through a questionnaire survey. After confirming the normality and reliability of the data, it was analyzed to examine the relationship between agile manufacturing practices and business performance measures. Findings The results show that there are strong relationships between agile manufacturing practices and business performance. Further, these attributes significantly contribute to delivering better business performance. Originality/value The study signifies the need for agile manufacturing in enhancing business performance for the growth and sustainability of the organization.

scholarly journals Impacts of Environmental Regulation on the Green Transformation and Upgrading of Manufacturing Enterprises

2020 ◽  
Vol 17 (20) ◽  
pp. 7680 ◽  
Author(s):  
Liang Shen ◽  
Runjie Fan ◽  
Yuyan Wang ◽  
Zhaoqing Yu ◽  
Rongyun Tang
Keyword(s):  
Environmental Regulation ◽  
Manufacturing Industry ◽  
Technology Innovation ◽  
Econometric Model ◽  
Consumer Preference ◽  
Green Technology ◽  
Manufacturing Enterprises ◽  
Chinese Manufacturing Industry ◽  
The Government ◽  
The Relationship

Since environmental problems are becoming increasingly prominent, macro policies and social development have placed higher requirements on manufacturing enterprises to promote green transformation and upgrading (GTU) in China. Considering that different manufacturing enterprises choose different green technology innovation levels for GTU under environmental regulation, a game model between manufacturing enterprises and the government is constructed. The relationship between the green technology innovation level (GTIL) and the environmental regulation intensity is analyzed. Through numerical examples, the influences of environmental regulation and consumer preference on system decisions are further examined. Moreover, an econometric model is constructed to explore the influence that the environmental regulation exerts on the GTIL using panel data from the Chinese manufacturing industry. Our results show that the increase in environmental regulation intensity contributes to improving GTIL and promoting the GTU of manufacturing enterprises. Furthermore, as the environmental regulation is enhanced, the sales price decreases, benefiting consumers. Consumers’ preference for high-GTIL products is conducive to GTU under environmental regulation. Empirical analysis shows that there is a U-shaped relationship between environmental regulation and the GTIL. Only when the intensity reaches a threshold can the environmental regulation be beneficial to improve the GTIL and promote the GTU of Chinese manufacturing enterprises.

scholarly journals AN ANALYSIS OF THE APPLICATION OF AGILE MANUFACTURING IN MEDIUM SCALE MANUFACTURING INDUSTRY

2020 ◽  
Vol 5 (2) ◽  
pp. 355-362
Author(s):  
Nasir Khan
Keyword(s):  
Manufacturing Industry ◽  
Low Cost ◽  
Agile Manufacturing ◽  
Manufacturing Companies ◽  
Global Marketplace ◽  
Medium Scale ◽  
Quality Product ◽  
Reducing Costs ◽  
High Level ◽  
Tools And Techniques

To compete effectively in the global marketplace of the twenty-first century, manufacturing companies are trying to maintain a high level of flexibility and responsiveness to achieve agility and to remain competitive. Manufacturers are under tremendous pressure to improve productivity and quality while reducing costs. The new competition is in terms of reduced cost, improved quality products with higher performance, a wider range of products and better services all delivered simultaneously to enhance value to customers. In such environment providing good quality product at low cost for a medium scale industry has become very tough. To provide good quality product at low cost, small industries need a formulation of some manufacturing approaches like agile manufacturing to manufacture defect free products within their materials cost limit. Medium scale steel manufacturing industries like Magnum steel limited (MSL), banmore are facing problems of higher rejections in form of wastes so as to increase their cost. This paper aims to analyze the application of agile manufacturing in magnum steel limited in order to reduce wastages through implementing lean tools and techniques. An agility audit questionnaire is used for assessing the agility level of the company to identify the current level of performance within the company with respect to the key elements of agility. MSL’s agile experience is reported including a list of recommendation for improving its competitiveness to offer solution alternatives not only to the current problems but also to the ones that may be encountered in the future.

scholarly journals Adaptive Configuration of Mobile Roadside Units for the Cost-Effective Vehicular Communication Infrastructure

2019 ◽  
Vol 2019 ◽  
pp. 1-14
Author(s):  
Jaeho Lee ◽  
Sanghyun Ahn
Keyword(s):  
Early Stage ◽  
Low Cost ◽  
Cost Effective ◽  
Vehicular Communication ◽  
Communication Infrastructure ◽  
The Road ◽  
Integer Linear Programming Problem ◽  
Control Message ◽  
On The Road ◽  
Operational Expenditure

In this paper, we target to figure out an adaptive and efficient mechanism that deploys roadside units (RSUs), which are the major components of the vehicle-to-infrastructure (V2I) communication, so that vehicles on the road can have satisfactory connectivity to the vehicular communication infrastructure in a cost-effective way. Only with the conventional fixed RSUs (fRSUs), the coverage requirement of vehicles from the perspective of V2I communications cannot be easily met because of high vehicular mobility compared to the static nature of fRSUs and the high deployment and operational expenditure of fRSUs. Recently, mobile RSUs (mRSUs) mounted on public and commercial vehicles like buses are considered as the substitutes or the supplements of fRSUs. The research on mRSUs is in its early stage and mostly focuses on the deployment of mRSUs from a static viewpoint. In this paper, we consider the environment with densely deployed mRSUs, such as the city environment, thanks to low cost, in which multiple active mRSUs generate lots of control messages to form the mRSU backbone network. To overcome this inefficiency, we propose a mechanism in which each mRSU adaptively and effectively determines its own state, active or inactive, according to the states of its neighboring mRSUs and vehicles. For the NP-hardness proof, we formulate the problem as a 0-1 integer linear programming problem. We evaluate the performance of our mechanism in terms of the ratio of vehicles covered by active mRSUs and the control message overhead compared with the case of nonadaptive mRSU configuration (i.e., the case of all mRSU being active).

Beyond low cost [Chinese manufacturing industry]

2005 ◽  
Vol 84 (4) ◽  
pp. 40-43
Author(s):  
A. Byrd ◽  
T. Fitton ◽  
R. Connor
Keyword(s):  
Manufacturing Industry ◽  
Low Cost ◽  
Chinese Manufacturing Industry

Industry 4.0 initiatives in EU countries: experience for Ukraine

2020 ◽  
pp. 65-70
Author(s):  
Nataliya Ryvak ◽  
Anna Kernytska
Keyword(s):  
Industry 4.0 ◽  
Business Models ◽  
Industrial Revolution ◽  
Successful Implementation ◽  
Industrial Complex ◽  
Interconnected System ◽  
Industrial Transformation ◽  
Eu Countries ◽  
European Experience ◽  
High Level

In this paper, digital technologies development was analyzed as the basis for the so-called “fourth industrial revolution” with the potential for the qualitative transformation of the Ukrainian economy based on EU countries’ experience. Industry 4.0 is a new control chain over the entire chain of creating value throughout the product lifecycle. When developing an economic policy, it is important to pay attention to Industry 4.0. It increases productivity, produces new, better, and individualized products, and implements new business models based on “undermining” innovations. A comparative analysis of national initiatives I4.0 with their characteristics according to the main dimensions, including funding, focus, direction, was conducted. Particular attention was paid to considering deterrents to the successful implementation and enforcement of the I4.0 initiative in European countries. The factors of successful implementation of I4.0 initiatives in the EU countries were analyzed. Drawing on the analysis of the European experience of digital transformations in industry and national economies in general, the necessity of critical focus of such transformations in Ukraine was highlighted, and the need for state support of industrial transformation was substantiated. The emphasis was placed on the cooperation development between stakeholders within the implementation of Industry 4.0 – it is necessary to create national and regional 4.0 platforms, following the example of EU countries, which would bring together government institutions, businesses, and academics. The successful positioning of the Ukrainian modern industrial complex on the world markets depends on the high level of the interconnected system providing factors that characterize its development process. Considering the influence of a list of inhibiting factors on implementing the country’s industry accelerated development, a set of measures needed to transform Ukraine’s industry based on European experience was substantiated.

scholarly journals Evaluating the Safety Risk of Rural Roadsides Using a Bayesian Network Method

2019 ◽  
Vol 16 (7) ◽  
pp. 1166 ◽  
Author(s):  
Tianpei Tang ◽  
Senlai Zhu ◽  
Yuntao Guo ◽  
Xizhao Zhou ◽  
Yang Cao
Keyword(s):  
Bayesian Network ◽  
Low Cost ◽  
Road Networks ◽  
Access Point ◽  
Safety Risk ◽  
Crash Data ◽  
Risk Levels ◽  
The Road ◽  
Run Off ◽  
Point Density

Evaluating the safety risk of rural roadsides is critical for achieving reasonable allocation of a limited budget and avoiding excessive installation of safety facilities. To assess the safety risk of rural roadsides when the crash data are unavailable or missing, this study proposed a Bayesian Network (BN) method that uses the experts’ judgments on the conditional probability of different safety risk factors to evaluate the safety risk of rural roadsides. Eight factors were considered, including seven factors identified in the literature and a new factor named access point density. To validate the effectiveness of the proposed method, a case study was conducted using 19.42 km long road networks in the rural area of Nantong, China. By comparing the results of the proposed method and run-off-road (ROR) crash data from 2015–2016 in the study area, the road segments with higher safety risk levels identified by the proposed method were found to be statistically significantly correlated with higher crash severity based on the crash data. In addition, by comparing the respective results evaluated by eight factors and seven factors (a new factor removed), we also found that access point density significantly contributed to the safety risk of rural roadsides. These results show that the proposed method can be considered as a low-cost solution to evaluating the safety risk of rural roadsides with relatively high accuracy, especially for areas with large rural road networks and incomplete ROR crash data due to budget limitation, human errors, negligence, or inconsistent crash recordings.

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