Machinery Manufacturing Enterprises Research Articles

Analysis of Tax Risk Management and Control in Port Machinery Manufacturing Industry--Taking Enterprise S as an Example

Port machinery manufacturing has a long history in China and plays an important role in promoting the country's economic progress. Advanced port machinery not only enhances the ability of ports to handle goods, but also effectively cuts down on logistics expenses, thus solidly supporting the country's economic pulse. Against this background, preventing and dealing with the VAT tax risks faced by the port machinery manufacturing industry and improving tax compliance of taxpayers have become key issues. In this paper, a port machinery manufacturing enterprise in the stage of product upgrading and transformation is selected as the research object, and 2020 is taken as the benchmark, focusing on the tax situation of the enterprise in 2021 and 2022. In the case study of this enterprise, this paper adopts a tax-related risk model and longitudinal data analysis within the enterprise to identify in-depth the value-added tax (VAT) and corporate income tax (CIT) risks of the port machinery manufacturing enterprise, as well as the tax-related risks of the enterprise's investment and merger and acquisition business, so as to control the enterprise's tax risks and promote the sustainable development of the enterprise.

Study on the fit testing for the workers wearing hearing protection device in machinery manufacturing enterprises

Objective: To investigate the occupational noise hazards in five machinery manufacturing enterprises, and to evaluate the individual noise reduction values and influencing factors of workers wearing hearing protection device (HPD) by individual fit testing. Methods: From November 2021 to January 2022, 5 machinery manufacturing enterprises in Bao'an District of Shenzhen were selected to conduct an occupational health survey to understand the noise exposure level of workers. The 3MTM E-A-RfitTM fitness test system was used to test the baseline individual sound attenuation value level (PAR) of the daily wear of the ear protecters for 485 workers in typical noise working positions. Workers whose PAR values could not meet the requirements of noise reduction at work were instructed to wear and repeated tests were conducted. PAR results of the workers before and after the intervention were collected and analyzed. Results: The noise workers who received the suitability test were mainly distributed in 24 types of work, the job noise exposure level was 80.2 dB (A) ~ 95.0 dB (A), and the job noise excess rate was 52.5% (138/263). The median baseline PAR [M (Q(1), Q(3)) ] for 485 workers was 6.0 (0.0, 14.0) dB. The baseline PAR of male workers, those with more than 15 years of working experience, those with more than 15 years of using ear guards, those who considered ear guards comfortable to wear, those with college degree or above, and those exposed to noise level 90 dB (A) were higher, and the difference was statistically significant (P<0.05). A total of 275 workers (56.7%) did not pass the baseline PAR test, and there was no statistically significant difference in the intervention rate of workers in different noise groups (P>0.05). PAR in subjects who did not pass baseline after intervention increased from 0.0 (0.0, 3.0) dB to 15.0 (12.0, 18.2) dB. Conclusion: The workplace noise hazard of machinery manufacturing enterprises is serious, and there is a great difference between the baseline PAR and the nominal value of the hearing guard worn by the noise exposed workers. The intervention measures can effectively improve the protective effect of wearing ear protectors.

APPLICATION OF MANAGEMENT TECHNOLOGIES DURING THE FORMATION OF AN INNOVATION DEVELOPMENT STRATEGY IN THE CONTEXT OF GLOBALISATION

The article discusses the essence of strategic enterprise development management and outlines the key aspects of using management technologies in formation of an innovative development strategy in the conditions of an unstable market and globalization. It has been identified that managing weak and strong signals is a modern tool to enhance the efficiency of enterprise activities amidst uncertainty and changes in the external environment. The procedure for organizational actions in the case of weak signals regarding emerging problems is defined, and the main aspects of successful management of strong and weak signals in the enterprise are indicated. Diagnostics of the internal and external environment and assessment of the overall strategy for PrJSC “Kredmash” were carried out. The analysis of the issuer’s financial condition included the coefficients of economic stability and resource potential, which illustrate the negative trend and significant impact of the war consequences on the enterprise’s activities, and the results of the calculations revealed that 70% of own funds are used to finance the current activities of PrJSC “Kredmash”. SWOT-analysis and PEST-analysis made it clear to what extent the company can overcome weaknesses with the help of opportunities, and which environmental factors have the most significant impact on its activities. A series of solutions based on SWOT analysis were also proposed for the further development and optimization of the machinery manufacturing enterprise’s activities. A proposed strategy for the development of machine-building enterprises (in particular, the researched PrJSC “Kredmash”) has been formed along with an action plan regarding the implementation of the strategy in the current conditions of functioning.

Research on procurement management of engineering projects in state-owned machinery manufacturing enterprises

The aim of this study is to explore the key issues and best practices of procurement management for engineering projects in state-owned machinery manufacturing enterprises. Through a comprehensive analysis of existing research progress and practical experiences, we found that procurement strategy, supplier selection, negotiation skills and risk management are the key factors affecting the effectiveness of procurement management. Best practices include good cooperative relationships with suppliers, market intelligence collection and analysis, and the application of information technology. However, state-owned machinery manufacturers still face challenges in procurement management such as supply chain disruptions, market competition and changes in regulations and policies. Future research should focus on how to address these challenges and improve the efficiency and quality of procurement management.

Research on Safety Production and Risk Management of Machinery Manufacturing Enterprises

Research on Safety Production and Risk Management of Machinery Manufacturing Enterprises

Research on Pattern Matching of Dynamic Sustainable Procurement Decision-Making for Agricultural Machinery Equipment Parts

With the digital transformation of the manufacturing industry and the diversification of production methods of agricultural machinery and equipment, external purchase, external coordination, and self-made products continue to increase. If agricultural machinery manufacturing enterprises want to maintain maximum benefits in the fierce competition, they must pay attention to the collaborative procurement decision-making model and the relationship between production, supply, and marketing, and seek a comprehensive dynamic sustainable procurement strategy under the supply chain environment. In this paper, from the manufacturers of agricultural machinery manufacturing enterprises, firstly, three procurement strategies based on line-side inventory supply, third-party logistics supply, and dynamic sustainable supply are studied respectively, while a system dynamics model of collaborative procurement strategy for the agricultural machinery supply chain is constructed and the three procurement strategy models are simulated and analyzed Secondly, the simulation results are analyzed to establish the measurement indexes for evaluating sustainable procurement model matching, and a procurement model matching measurement model based on the topological superiority of object elements combined with the topological hierarchical analysis method and CRITIC comprehensive assignment method is proposed to determine the index weights. And using the correlation function calculation, we get the comprehensive superiority ranking of procurement patterns and the correlation comparison of individual indicators and output the optimal procurement matching pattern and pattern recognition degree. Finally, an application example is given to verify the correctness and practicability of the proposed decision-making model, to provide a qualitative and quantitative dynamic sustainable procurement multi-attribute decision-making tool for the procurement management of agricultural machinery equipment manufacturing enterprises.

Research on audit quality control of the machinery manufacturing industry based on Bio-Technology and Data Mining

With the continuous development of the market, machinery manufacturing enterprises are facing more and more challenges. In the face of the international market, in order to enhance the competitiveness of enterprises, each enterprise's vision can be traced back to itself from the market by using the biotechnology entrepreneurship practices, hoping to adapt to the rapid development of the market faster through its own improvement. The audit quality control of the machinery manufacturing industry appears on people's visions. People gradually realize the importance of audit quality control for the machinery manufacturing industry, and realize that if we cannot effectively improve and perfect the audit quality control system of the machinery manufacturing industry, it is difficult to ensure the healthy, sustainable and rapid development of the machinery manufacturing enterprises. Therefore, when the new opportunity of industrial reform comes, we should strengthen the research on audit quality control of the machinery manufacturing industry in line with the characteristics of the machinery manufacturing enterprises, and apply it to guide practice, so as to solve the urgent problems in the establishment of audit quality control of the machinery manufacturing industry in machinery manufacturing enterprises.

Profit Allocation of Agricultural Machinery Service-Oriented Manufacturing Alliance Based on Modified Shapley Value Method

Shapely value is a method of determining the importance of individuals in the collective, avoiding the equal allocation of profit. The profit allocation on SOM (service-oriented manufacturing) alliance between agricultural machinery manufacturing enterprises and suppliers under the SOM mode is a complex problem restricted by many factors, but the Shapely value method does not consider the differences of member enterprises. Therefore, factors that affect the profit allocation are given in this paper, such as input level, effort level, innovation level, risk factor, and value-added factor. Based on these factors, the Euclidean distance is used to modify the traditional TOPSIS method to determine the profit allocation correction coefficient, and the GRA (grey relational analysis) is introduced into the TOPSIS method to calculate the closeness degree, which reflects the position relationship and consistency of data curve. Based on the modified Shapley value method, a profit allocation method of agricultural machinery service-oriented manufacturing alliance is constructed. Finally, an application example is given to verify the effectiveness of the proposed method.

Discussion on Safety Production Management Measures of Machinery Manufacturing Enterprises under the New Situation

Discussion on Safety Production Management Measures of Machinery Manufacturing Enterprises under the New Situation

Research on Production Process Parameter Management Based on MES System

It is very important to realize the information management of product parameters in the production workshop, which can timely, accurately, clearly and clearly display the real-time parameter data in the production process, and ensure the efficient cooperation of various departments, so as to improve the processing efficiency and product processing quality of the production workshop. In this paper, the MES system of a military machinery manufacturing enterprise is used as the research platform to collect the product process data of the workshop and form the product parameter library of the production process of the workshop, taking the parameter library as the research object, a parameter management mechanism suitable for mechanical manufacturing enterprises is established to carry out efficient parameter management. The parameter management based on MES system consists of quality card management, parameter management, parameter optimization, parameter filling and verification, and parameter analysis. Neural network and other methods are used to optimize the selection of product parameters and analyze the historical product parameters. The application results show that the parameter management mechanism proposed in this paper can realize the effective management of the production process parameters of the manufacturing enterprise workshop, improve the processing efficiency and product quality, and has a certain reference value for the manufacturing enterprise production process parameter management.

Innovation development and capability evolution for traditional machinery manufacturing enterprises based on genetic algorithm

ABSTRACT Agricultural machinery manufacturing enterprises are the backbone forces of improving competitiveness of the agricultural machinery industry and the development of the regional economy. Therefore, exploring the energy consumption and sustainable development paths for the traditional agricultural machinery manufacturing enterprises in the manufacturing process in China has an important practical significance for promoting the transformation and upgrading of enterprises and improving competitiveness. The innovative ability of an enterprise plays important in the sustainable development of agricultural machinery manufacturing industry clusters, and the proportion of fixed assets input has a greater impact on the development scale of agricultural machinery manufacturing industry clusters.

Efficient and participatory design of scale-appropriate agricultural machinery workshops in developing countries: A case study in Bangladesh

Smallholder farmers provide the foundation for food security in South Asia. However, increasing seasonal labor scarcity caused by rural out-migration has resulted in growing agricultural labor costs, presenting challenges to cash-constrained smallholder farmers that hire manual labor for land preparation, sowing, harvest and post-harvest operations. Technological innovations in small-scale agricultural machinery appropriate for the small field sizes and limited resource endowments of South Asia's farmers have been proposed as a potential solution to this problem. An increasing number of development initiatives also promote rural entrepreneurial approaches to mechanization, whereby smallholder farmers can access and use machinery in their own fields on an affordable fee-for-service basis offered by machinery owners. This approach reduces capital constraints for smallholder farmers while enabling entrepreneurs who can afford equipment to enter into business serving stallholder farmers as clients. This approach is now widely practiced in Bangladesh, where machinery entrepreneurs play a crucial role in providing access to productive technologies for smallholder farmers who could not otherwise afford direct purchase of labor- and cost-saving machinery. In order to maintain low machinery purchase costs for emerging yet capital constrained rural entrepreneurs, while also assuring high quality standards, cost-effective domestic production of agricultural machinery is increasingly championed as an important long-term national development objective. With no safety standards or guidelines for best production practices, the few manufacturing workshops that exist within Bangladesh operate inefficiently and without clear rationalization of manufacturing processes. Haphazard copying of prototypes or imported available machinery is common. This leads to inefficient production and poor product quality in an emerging but potentially highly beneficial industry. This paper addresses these problems and presents a case study to increase machinery manufacturers' capacity while improving manufacturing operations and workplace safety through equipment selection, workshop layout, and usability.Janata Engineering (JE) is a small-scale machinery manufacturing enterprise in Bangladesh, specializing in two-wheel tractor attachments such as bed planters, local derivations of power-tiller operated seeders, and other equipment for planting, irrigating, and processing crops. JE was expanding and setting up a second factory for which the authors provided assistance on its design. Our research question was whether participatory action research (PAR) supported by empirical data could provide improved factory design in terms of functionality, safety and human interactions, when compared with conventional approaches driven by technical efficiency concerns alone. Using PAR, we developed a number of alternative process and layout recommendations for JE to increase the efficiency of labor and machinery through improved workflow, throughput, and output. While immediately useful for JE, the process and protocols proposed in this paper are relevant for emerging agricultural machinery manufacturers in Bangladesh and more widely in South Asia.

RFID-based tracking and monitoring approach of real-time data in production workshop

PurposeIn practical workshop production process, there are many production emergencies, e.g. new manufacturing tasks, facilities failure and tasks change. On one hand, it results in poor timeliness and reliability of real-time production data collection, acquisition and transmission; on the other hand, it increases the difficulty of real-time data tracking and monitoring. This paper aims to develop a novel RFID-based tracking and monitoring approach of real-time data in production workshop (TMrfid) to solve them.Design/methodology/approachAt first, a three-layer model of real-time data based on RFID has been constructed, which contains RFID-based integrated acquisition center; “RFID & Cloud-service-rules”-based calculation and analysis center; and “RFID & Ontology-knowledge-base”-based monitoring and scheduling center. Then, a targeted analysis and evaluation method of TMrfid with feasibility, quality and performance has been proposed. Finally, a prototype platform of a textile machinery manufacturing enterprise has been built to verify the effective of TMrfid.FindingsThe effectiveness of TMrfid is verified by applying two groups of actual experimental data from the case enterprise, the results show that TMrfid can promote the efficiency, reliability and feasibility of tacking and monitoring of real-time data in production workshop.Originality/valueRFID-based tracking and monitoring approach of real-time data in production workshop has been developed to solve the data information transmission and sharing problem. Three analysis and evaluation approaches have been introduced to solve the un-standardized evaluation problem of RFID application. A prototype platform of a textile machinery manufacturing enterprise has been constructed.

Hybrid artificial bee colony algorithm with a rescheduling strategy for solving flexible job shop scheduling problems

This study mainly focuses on flexible job shop scheduling problems (FJSSPs) in a modern manufacturing enterprise that presents a number of different emergencies, such as new jobs inserted, old jobs cancelled, machinery breakdowns. A feasible mathematical model based on a rescheduling strategy has been constructed as an effective solution. The rescheduling strategy is illustrated by three types of scheduling: reassembling scheduling, intersecting scheduling and inserting scheduling. The objective function is to minimize the maximum completion time (makespan). A hybrid artificial bee colony algorithm (HABC) based on Tabu search (TS) has been developed to solve the model, and a cluster grouping roulette method is proposed to better initialize the population. A crossover operator is introduced for employed bees to improve the exploitation feature. Comparative experiments with other published algorithms have been conducted on well-known benchmark instances, and the analysis results show that the HABC algorithm is efficient and effective. In addition, the proposed algorithm is applied to solve actual FJSSPs in a textile machinery manufacturing enterprise.

Research and Practice on the Training Mode of Mechanical and Electrical Integration Specialized Technical Talents in Higher Vocational Colleges

Through the investigation of the status quo, machinery manufacturing enterprises, the existing problems and development trend of the professional graduates, students, teachers and schools of similar analysis, and put forward to improve and perfect the professional mechanical and electrical integration in higher vocational training mode, curriculum system, knowledge content, teaching methods and means, the higher vocational colleges the mechanical manufacturing industry graduate students' knowledge structure, ability and quality to meet the needs of modern machinery manufacturing industry, highlighting the characteristics, truly outstanding technical talents training and teaching practice.

Study of Evaluation and Empirical Method on Manufacturing Quality Innovative Capacity

Through the study and analysis, this paper has screened out 20 major factors as evaluation indexes which influenced manufacturing enterprises’ quality innovative capacity, and 1 was applied to determine the weight of each evaluation index, thus constructing the quality evaluation index system of the manufacturing enterprises’ innovative ability. Based on this, the compound linear matrix system of evaluation was used to carry out the empirical research combined with 32 machinery manufacturing enterprises in some province, the result of which has practical guiding significance for improving the innovative ability of manufacturing enterprises’ quality innovation.

Construction of a complex object

The peculiarities of application of nodal method in the construction of large and complex industrial systems, the principles of the spatial division of the object on the technological, building and public spaces, the basic documents on the use of nodal method. As an example, we consider the use of nodal method in the construction machinery manufacturing enterprises. To this end, provides a general description of space planning and designs of single-floor and multi-floors buildings of this industry, the composition of industrial complexes and sub complexes engineering, their basic units and plots, schemes interlinkages units and energy supply. It includes steps for the development of complex aggregated network diagrams network diagrams and working with the justification of continuous work flow.

The Effect of Workplace Ostracism on Proactive Behavior: The Self-Verification Theory Perspective

Employee proactive behavior and workplace ostracism have received increasing attention nowadays. Extant studies which have empirically tested the relationship between workplace ostracism and employee in-role behavior(e.g., job performance) or extra-role behavior(e.g., contextual performance and organizational citizenship behavior) mostly based on social exchange or social identity theory. Few studies have investigated the relation between workplace ostracism and employee proactive behavior. Drawing on the self-verification theory perspective, the present study aimed to examine the influence mechanism of workplace ostracism on employee proactive behavior, especially the mediating role of organization-based self-esteem and the moderating role of neuroticism.The participants of this study were 403 employee-supervisor dyads from three large engineering machinery manufacturing enterprises in Fujian province. Three waves of data collection with two-month intervals were conducted to reduce the potential common method bias. In the first-wave survey(T1), employees reported their neuroticism, conscientiousness, perceived workplace ostracism and demographic variables. In the second-wave survey(T2), employees who had completed first wave questionnaires were surveyed again and were required to rate their organizational-based self-esteem. In the third wave survey(T3), employees' supervisors were surveyed in order to obtain the employees' proactive behaviors. The final sample was 403 employee-supervisor dyads with a response rate of 49.75%. We conducted hierarchical regression modeling to test the hypotheses. Results showed that workplace ostracism was negatively related to organization-based self-esteem; organization-based self-esteem was positively related to employees' proactive behavior; workplace ostracism was negatively related to employees' proactive behavior and organization-based self-esteem fully mediated the relation between workplace ostracism and proactive behavior; neuroticism strengthened the relation between workplace ostracism and organization-based self-esteem, such that the higher the level of employee'sneuroticism, the stronger the negative relation between workplace ostracism and organization-based self-esteem. This study offers following major contributions. First, this study fills in the gap of the research on the relation between workplace ostracism and employee proactive behaviors, investigates the influence mechanism of workplace ostracism on employee proactive behavior and broadens the research on the antecedents of employee proactive behavior. Second, previous research often explored the effects of workplace ostracism on employee attitude and behavior from the social exchange theory or social identity theory perspective, this study explores the influence mechanism of workplace ostracism on employee proactive behavior based on selfverification theory, which broadens the research perspectives of the influence mechanism of workplace ostracism. Third, this study combines the moderating role of neuroticism and the mediating role of organizational-based self-esteem to explore the influence mechanism of workplace ostracism on employee proactive behavior, thus it contributes to understanding the black box between workplace ostracism and employee proactive behavior.

Preparation of Control Programs for Material Handling Robot

With more and more industrial robots used in machinery manufacturing enterprises, mechatronics career groups have also put forward higher requirements for vocational students to become familiar with industrial robots. This paper takes handling robots as an example to introduce how to prepare the robot programs for certain tasks and how to use robots to complete the tasks.

Research on the Budgetary Slack Behavior to the Construction Machinery and Equipment Manufacturing Enterprise in China

In Chinese construction machinery and equipment manufacturing enterprises, the behavior of budgetary slack is an intractable problem in comprehensive budget management so far. In this paper, the causes of budgetary slack behavior, from points of agency theory, contingency theory, behavioral theory, psychology theory, information asymmetry theory and motivation theory, and from the lack of relativity between the theory and practice of management accounting, are analyzed systematically. Some management countermeasures are advanced to prevent budgetary slack. As the research consequence, the compromised point is the appropriate budgetary slack is not harmful to corporate performance.