Agricultural Machinery Companies Research Articles

A Research on Metal and Metallurgical Properties of Chisel Plough Shanks

Reduced tillage forms a subgroup of conservation tillage. In this system, chisel or disc tools are generally used for primary soil tillage, and milling machines, disc tools or cultivators are used for secondary soil tillage and seedbed preparation. The entire area is tillaged so that the plant residues are on the soil surface and prone to the surface. It provides significant fuel and energy savings compared to conventional tillage due to less machine traffic. In order to ensure sustainability, conservation tillage (using a chisel instead of the mouldboard plough that works by turning the soil) as an alternative to conventional tillage and the development of agricultural tools and machines used for this purpose have gained great importance. Chisel is a soil cultivation tool widely used in stubble destruction and conservation tillage system. It is known that the chisel provides significant savings in terms of fuel consumption compared to the mouldboard plough. For a chisel construction that can operate at an optimal level, the basic requirement is to have optimal material quality, optimal weight and optimal cost. In this research, the physical and chemical processes of chisel shanks produced as cast steel were examined. It is of primary importance that it provides minimum fuel consumption with its optimal chemical content, easy mounting to the chassis, unbreakable model structure and angles. A casting and agricultural machinery company that helped with the study was visited and the GS-52 steel casting process, which is widely used for chisel shank in our country, was examined and tensile, yield and rupture tests were performed. As a result, it has been observed that a better construction can be created by changing the chemical content of GS-52 steel. Different trials to be carried out as the continuation of the research will help determine the optimal structure of the chisel shank.

СТРАТЕГІЧНИЙ АНАЛІЗ МАРКЕТИНГОВОГО СЕРЕДОВИЩА ПРОМИСЛОВОГО ПІДПРИЄМСТВА

The article examines the role of strategic analysis of the marketing environment of an industrial enterprise using the example of a leading agricultural machinery company in Ukraine. It has been proven that in the process of justifying strategic marketing decisions, the importance of conducting a qualitative analysis of the marketing environment of an industrial enterprise and evaluating their condition in target markets increases. The article deals with strategic planning methods such as SWOT- and PEST-analysis intended for the analysis of external and internal environment. In conditions of a highly competitive market, the marketing environment of an industrial enterprise is both the object of research and one of the most important aspects of its activities. Each enterprise must monitor constant changes in the environment and adapt to them. The analysis of external and internal factors affecting the enterprise showed that the enterprise is in a difficult economic situation. As a result of the analysis, the following opportunities for the enterprise were identified: entering new sales markets, implementing state support programs for agricultural producers, establishing its own representations in various regions of Ukraine, and developing IT technologies in sales. The threats identified include further escalation of hostilities in Ukraine, strong competitors in European countries, and rising gas and energy prices. The results of such analysis form the basis for making important management decisions regarding the identification of priority areas for the development of an industrial enterprise, the development of its effective marketing strategy, the establishment of an optimal pricing strategy, the determination of target audience and channels for promoting products or services, as well as identifying opportunities for innovation and improving the effectiveness of marketing efforts. Thus, in the process of substantiating strategic marketing decisions, the importance of conducting quality marketing analysis and assessing their condition in target markets increases. By considering the capabilities of an industrial enterprise, its strengths and weaknesses, conducting an analysis of threats emanating from the external environment, it is possible to determine the optimal development strategy for the enterprise. In our opinion, the most effective strategy for the enterprise will be a combined strategy aimed at maintaining competitive advantages and envisaged deeper penetration into new markets.

The factors impacting the intermediating variable of employee engagement toward employee performance in a hybrid working model

PurposeThe purpose of this study was to investigate the factors impacting the intermediating variable of employee engagement toward employee performance in a hybrid working organization in Bangkok, Thailand.Design/methodology/approachThis study uses secondary data analysis and an archival study; the primary data were gathered from 370 employees who are working in a hybrid model environment in a private agricultural machinery company. To construct a new conceptual framework, this study adopted four frameworks from the previous research.FindingsPerceived organizational support and trust and respect in the organization are found to have a significant positive impact on employee engagement. Moreover, there is a significant positive impact of the employee engagement on employee performance in a hybrid working model.Research limitations/implicationsFor hybrid work environments, the research focused mainly on the emotional themes of perceived support, trust and respect in the organization. Therefore, there would be many factors that could possibly affect those dependence variables in any environment, which will have to be investigated more in future research. Either in the organization or in the company, many departments and business units operates for the company, but the researcher specifies only the business units or departments that now use the hybrid working model.Practical implicationsThis study focuses on a case study of an agricultural machinery company, which likely produces different results than other industries, other industries may produce different results.Social implicationsHybrid working models can blur the boundaries between work and personal life, potentially leading to increased stress and burnout. Organizations should prioritize work-life balance and employee well-being by promoting flexible schedules, encouraging breaks and time off, and providing resources for mental health support.Originality/valueThe organization which is operating among a hybrid working model, the increasing of perceived organizational support and trust and respect level, has positively increase the employee engagement toward enhancing the employee performance.

A conceptual model to support sustainable Product-Service System implementation in the Brazilian agricultural machinery industry

Many studies demonstrate the potential contribution of the Product-Service System (PSS) to the development of sustainable management practices and Circular Economy (CE). However, companies face challenges when implementing PSS, and few studies examine how the manufacturing industry can develop sustainable offerings by adopting product-oriented PSS, especially in the agricultural machinery industry. Thus, we investigated how this industry perceives environmental sustainability and product-oriented PSS, and we identified practices that can be implemented to qualify the life cycle management of their products. Based on that, we proposed a conceptual model for implementing product-oriented PSS in the agricultural machinery sector. An exploratory research was carried out in two steps: a systematic literature review complemented by multiple case studies. We list the possibilities of product-oriented PSS services that can be offered for traditional industries to guide their business towards sustainable practices. In parallel, we have identified good practices and benefits of adopting product-oriented PSS. Subsequently, we conducted a diagnosis on sustainability and product-oriented PSS in agricultural machinery companies. Although companies already offer some services to customers, our results show ample opportunities for improvement, especially to offer product-oriented PSS considering socio-environmental issues. In this sense, the conceptual model proposed allows industries to expand their understanding and adherence to product-oriented PSS. As contributions, we demonstrate how the agricultural machinery industry can develop sustainable practices and promote CE through product-oriented PSS implementation.

CES 2022: Less is More

AbstractScaled‐down show still delivers top‐notch exhibits and innovation aplenty.

Selling Advanced Service: The Case of an Agricultural Machinery Company in Japan

Selling Advanced Service: The Case of an Agricultural Machinery Company in Japan

Perception of the sociology of absences in the agricultural machinery industry supply chain

Abstract Studies on supply chain management have been focused on competitiveness from the alignment of suppliers to the company's main strategic interests, with the assumption that this alignment benefits all chains. In this approach, unmet interests of these suppliers are hidden when submitted to the subordination of the main company. This work aimed to understand how the supply chain of the agricultural machinery industry is managed, with the sociology of absences as a category of analysis. This is a descriptive and qualitative approach research, with the participation of six respondents, executives of companies providing implements for the three main agricultural machinery companies in the world. During the research, we sought to connect seven dimensions of supply chain management with the macro-sociological procedure of investigation of the sociology of absences. The results showed that the supply chain management of the agricultural machinery industry promotes the five non-logical existence (monocultures), putting smaller companies' supply chain members in a situation of absence and concealment, disregarding their knowledge and interests.

A two-step framework for dispatching shared agricultural machinery with time windows

Nowadays, farmers and even governments are faced with increasing yields with limited resources, and the extensive use of agricultural machinery is one of the most efficient methods for that. Agricultural machinery usually charges high prices, and it is economically impractical for small-scale farmers to afford them. The shared agricultural machinery is racing ahead full throttle in the market. Farmers can submit a usage request to a shared agricultural machinery company, and the company would then dispatch their machines to farmers to provide operational service. While this new business mode has shown promising benefits, there are new operational challenges. Agricultural production is a strictly seasonal process, and the yield would be affected by working time. Thus, operators would be assigned continuous tasks caused by the overlap of time windows. With a large number of demands, it is challenging for operators to dispatch shared agricultural machinery with time windows efficiently. This study develops a novel two-step dispatching framework for shared agricultural machinery with time windows. In the first step, a model-based spatiotemporal clustering approach is developed to cluster farmlands according to their location, time windows, and crop strain. The shortest route within each cluster of farmlands is also determined. In the second step, shared agricultural machines are routed across the clusters to minimize the dispatching costs. These two steps are formulated as Mixed Integer Linear Programming models, and a two-step heuristic based on CPLEX is proposed to solve these problems. Numerical experiments are conducted with large-scale data from a real-world shared agricultural machinery company. Our computational experiments demonstrate the efficiency, effectiveness, and practicality of the developed approach.

DETECTION SYSTEM FOR FEEDING QUANTITY OF MOBILE STRAW GRANULATOR BASED ON POWER OF SCREW CONVEYOR

At present, straw harvesting operation is performed according to artificial experience, and there is no scientific method to detect the feeding quantity of the mobile straw granulator. This paper designed a feeding quantity detection system based on the power of the motive power shaft of the screw conveyor of the mobile straw granulator. The detection system includes the detection device and the detection method. The detection device consists of torque sensor, rotation speed sensor and on-board industrial computer. The detection method obtains the feeding quantity with the power that can be computed according to torque and rotation speed. The detection system was evaluated on the mobile straw granulator of Liaoning Ningyue agricultural machinery company. The field experiment shows that the average error of feeding quantity detection system is 7.5%, and the detection accuracy can meet the actual needs of the field application.

Directions of efective system of managment decisions making on the example of agricultural machinery industry enterprise

In Ukraine, taking into account the constant changes in the economy and policy, the enterprises need to improve management decision-making systems for efficient and well-established production process. Thus it is especially important for the state economy to establish a system of management of the machine-building industry in the field of agricultural production as they: provide the main share of revenues to GDP in Ukraine; are the main source for ensuring the food and agricultural products development. The objective of the paper is to investigate more thoroughly the theoretical foundations of the management decision-making system formation, to develop the direction for optimization under the conditions of uncertainty and risk on the example of agricultural machinery industry enterprise. The theoretical foundations of management decisions at the enterprise as a process for developing and selecting the most effective solution to achieve the best results in the enterprise are outlined in this paper. The factors influencing management decisions such as: degree of risk; information; time; personal qualities of the leader are considered. Methods for application contributing to the most optimal decisions such as: traditional, systematic, economic-analytical, systemic and targeted are identified. Analysis of the current state of agricultural machinery industry development in Ukraine, which shows the dynamics in the direction of deteriorating their condition is carried out. Therefore, there is the need to make management decisions concerning the establishment of their system in management. For example, the agricultural machinery company JSC «Elvorti» is considered. The problem of effective management which requires optimization of directions in the process of making managerial decisions in order to improve its activities is determined. The following factors of the influence on crisis phenomena in the given industry: external factors (political, economic) and internal factors (lack of working capital) significantly affecting the activities results are considered. On the basis of JSC «Elvorti» activity analysis, it is proved that it is necessary to take optimization measures and certain directions in the management decision-making process in order to ensure effective operation. The directions for control, simplification of decision-making process due to automation of document circulation on the basis of 1C, motivation of the personnel which will be able to improve organizational structure of the enterprise and production process are proposed.

DEMAND FORECASTING FOR HIGH-TURNOVER SPARE PARTS IN AGRICULTURAL AND CONSTRUCTION MACHINES: A CASE STUDY

Conventional demand forecasting and inventory management models cannot be applied to replacement parts due to their intermittent and seasonal demand. Thus the aim of this study is to compare, in the case of the strategic stocking of high turnover replacement parts, the demand forecast model currently used by construction and agricultural machinery companies with the Box-Jenkins statistical model. The results show that it is important to use a methodology based on statistical techniques in inventory management, and that the proposed model adapts better to high turnover stock control.

Assessment of the agricultural machinery company’s competitiveness based on data envelopment analysis

The ability of enterprises to compete in a particular product market depends not only on the totality of economic methods used for conducting business, but also directly on the competitiveness of the product. The article presents ways to improve the competitiveness of agricultural machinery products, which ultimately determines the level of competitiveness of the enterprise as a whole. The article describes the properties of the data envelopment analysis (DEA) method in terms of its effectiveness in assessing the competitiveness of agricultural machinery products, and presents a model for improving competitiveness. Based on the analysis carried out, it is concluded that the DEA method should be used to assess the competitiveness of agricultural engineering enterprises.

Capacidades tecnológicas y vínculos territoriales en empresas argentinas de maquinaria agrícola

El presente trabajo analiza el sendero de construcción de capacidades tecnológicas en empresas argentinas de maquinaria agrícola, a fin de desentrañar sus procesos de innovación, así como los mecanismos de aprendizaje aplicados. Asimismo, se estudian los vínculos con los agentes externos, teniendo en cuenta las condiciones del entorno y el rol de las instituciones intermediarias. Desde un abordaje empírico, evolutivo y sistémico el estudio permitió integrar y profundizar dichas temáticas considerando los puentes entre el sistema nacional, sectorial y territorial de innovación. Las experiencias analizadas revelan la influencia de un conjunto de factores y las posibles irregularidades y diversidad de ritmos de los procesos de innovación en un área industrial específica de un país en desarrollo.

Supplier selection based on information visualization tools——Taking Z agricultural machinery company as an example

The development of economic globalization makes the cooperation relationship between enterprises and suppliers closer. How to optimize suppliers becomes a research hotspot. This paper studies the selection process and selection method of quotient evaluation indicators based on the analysis of supplier data by using information visualization tools. The multi-dimensional data and analytic hierarchy process are used to evaluate the supplier’s commercial value and product information. The example of z agricultural machinery company is used to verify the effectiveness and feasibility of the new scheme.

Business model - an ephemeral trend or a claim of the future? the orientation of enterprises within the agricultural machinery sector

The fundamental objective of this research paper is to determine whether contemporary management is recognized traditionally, in the light of a strategy and the entailing methods of operation, adapted to the target recipients, based on knowledge and studies, strongly embedded in the market reality or perhaps more as a paradigm, in which the focal point is the architecture of business processes, which comprises a description of their conceptualization, the determination of individual and necessary stages of operations and the modelling of these process, i.e., a business model. Opinion reconnaissance requires – in the first place – to develop a catalogue of features clearly identifying a business model and a strategy. The theoretical and design layers will utilize a method of reconstructing and interpreting the source literature supported by a discussion among purposively selected experts. This will be reflected by a set of key identifiers, which quantify a strategy and a business model subject to further assessment by the representatives of agricultural machinery companies. On the empirical level, it is important to determine, which of the suggested dimensions truly capture the sense of the concept in terms of practical operations of the enterprises invited to the study. It seems that the complexity of the problems and the so far limited scientific recognition justify treatment of the mentioned issues as the subject matter of the research.

Fuzzy Evaluation of Change Management Processes in the Context of Enterprise Sustainability

Enterprise sustainability can only be ensured by taking into account the dynamics of the environment, which requires effective implementation of changes. Organizational change management is seen as the interaction of the groups of processes: direct implementation and the processes of managerial influence on their implementation. The article seeks to develop a framework for evaluation of change management processes based on the fuzzy logics. The expert analysis was carried out to develop fuzzy rules based on the linguistic terms (high, medium, and low). The database of rules for assigning an enterprise to the appropriate level of organizational change management has been developed (243 rules). The proposed model was applied to the case of Ukrainian agricultural machinery companies. The results allowed identifying the bottlenecks for the companies under analysis in seeking sustainable change management.

SACA: una empresa del INI para la fabricación de maquinaria agrícola, 1939-1972

Al finalizar la Guerra Civil, los terratenientes andaluces eran conscientes de lo mucho que el nuevo regimen esperaba de la agricultura y de la necesidad que habia de aumentar el parque de maquinaria agricola. Fue asi como un importante grupo de ellos decidio promover una gran empresa de maquinaria agricola, la Sociedad Anonima de Construcciones Agricolas (SACA), constituida en Sevilla el 29 de diciembre de 1939. Graves errores en el proyecto y dificultades no previstas llevaron a su promotores a pedir ayuda al Instituto Nacional de Industria (INI), que acordo tomar una participacion mayoritaria en la empresa, proponiendose hacer de ella una de las mayores empresas del grupo y de Espana. Como ocurrio con otros proyectos similares del INI en Andalucia, en menos de veinte anos, despues de consumir cuantiosos recursos, termino en un rotundo fracaso.

Investigate Factors Affecting on the performance of Agricultural Machinery Companies Based on Taxonomy Algorithm

Abstract. Taxonomy(general), the practice and science of classification of things or concepts, including the principles that underlie such classification. Economic taxonomy, a system of classification for economic activity. The main objective of the study was to find whether financial ratios affect the performance of the Agricultural Machinery companies in Iran. A firm performance evaluation and its comparison with other companies can help the investors to reach the investment goals. The study is based on secondary data collected from financial reports which is accepted in Tehran Stock Exchange for the period of one year from 1389-1390.This research did by using data of 5 accepted in Tehran stock Exchange Agricultural Machinery companies and the size sample is equal to the size society. In this research, the method is measuring descriptive method and based on and practical applicable goals. In this research used Taxonomy algorithm for performance evaluation companies. From our study can conclude that Eshtad Iran company has the first ranking indicates that some criteria such, , liquidity , activity and financial leverage are affect performance of the Agricultural Machinery companies in Iran.

Using Model of Split-Plot Design in the Study of Factors Affecting on Accepted in Stock Exchange Agricultural Machinery Companies Liquidity

Split-plot designs were originally developed by Fisher (1925) for use in agricultural experiments. Aim of this research is the study of factors affecting on liquidity accepted in stock exchange Agricultural Machinery companies by Split-Plot design model. Presented this research for all five Agricultural Machinery Companies that accepted in Tehran Stock Exchange since (1388–1390) and sample is equals with society. Research method is descriptive and based on the target is application. In this model (tb )ij is still the whole plot error but the blocks × B and blocks × AB interactions have essentially been pooled with εijk to form the subplot error. According to the results, we see that ratios type and company type and Interaction ratio type and company type affected the company’s liquidity. Then hypotheses 2, 3 and 4 can’t be rejected at the 95% confidence level. In this research, the various liquidity ratios called plot that these can calling block. We see that ratios type and company type and Interaction ratio type and company type affected the company’s liquidity. Future research is suggested from other models should be used, including repeated factorial designs, Nested factorial design in evaluation of the impact factorials on the liquidity of companies.Keywords: Cash Ratio, Current Ratio, Factorial Experiments, Liquidity, Quick Ratio, Split-Plot Design

Proposta de fluxograma orientativo para aplicação de índices de capacidade

Um gráfico de controle detecta se o processo está ou não sob controle estatístico, distinguindo entre causas comuns e causas especiais. Após o processo estar sob controle, é utilizada outra importante técnica: os índices de capacidade do processo, que verificam se ele atende às especificações de engenharia/projeto. A aplicação correta do tipo de gráfico de controle e índice de capacidade é essencial para a correta análise dos dados. Assim, o presente estudo apresenta um fluxograma orientativo para direcionar a escolha dessas ferramentas para processos com variáveis de resposta: (i) não correlacionadas, (ii) correlacionadas dependentes das variáveis de controle e (iii) autocorrelacionadas. O uso do fluxograma foi ilustrado através da sua aplicação em um processo de torneamento de uma empresa do ramo de equipamentos agrícolas. O processo foi monitorado por gráficos de controle de regressão múltipla, sendo sua capacidade avaliada utilizando-se os índices de capacidade para gráficos de controle baseados em modelos de regressão. Os resultados desses índices foram comparados com os índices de capacidade tradicionais.