The Design of Forecasting System Used for Prediction of Electro-Motion Spare Parts Demands as an Improving Tool for an Enterprise Management

Kačmáry, Peter; Malindžák, Dušan; Spišák, Jan

doi:10.1515/mspe-2019-0038

Cited by 6 publications

(4 citation statements)

References 11 publications

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“…Likewise, the level of development of the warehousing process is relatively low in smallest organizations. Regarding the production process and its improvement, micro and small enterprises generally do not carry out studies regarding the level of service (Chromčáková et al, 2018), they ignore their real productive capacities (Pongpanit and Sornsaruht, 2019), and perform few demand forecast studies (Kačmáry et al, 2019).…”

Section: Discussionmentioning

confidence: 99%

“…Research topics within logistics management cover all the elements that make up the supply chain and range from customer orientation with service level analysis (Chromčáková et al, 2018) or demand fore-cast (Kačmáry et al, 2019), going through the analysis of the distribution process in general (Oey and Nofrimurti, 2018) and as part of this the study of transportation (Gružauskas et al, 2018). The production process is analyzed from various perspectives: planning (Sudarto et al, 2016), organization of production (Qamar and Hall, 2018), analysis of capacities (Pongpanit and Sornsaruht, 2019) and quality control (Gissin et al, 2019).…”

Section: Literature Reviewmentioning

confidence: 99%

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Determinant Variables of Logistic Management in Micro and Small Enterprises

Igarza

Pérez-Campdesuñer

Miguel-Guzmán

et al. 2022

EcoNeg

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The present research aims to identify the differences and similarities that may exist between the variables associated with the logistics management of business organizations based on their size. For this, a comparison was made between 992 companies in Ecuador, where four types of companies were represented: micro, small, medium and large, in proportion to the structure that the composition of the country’s companies presents. The results showed, by applying a hypothesis test to verify the equality of means, the existence of statistically significant differences in the levels of analysis in variables associated with administrative functions, supply processes, storage, production, distribution and reverse logistics. It was shown that the degree of development of logistics activity is very limited in micro and small companies. Therefore, the body of knowledge and methodological instruments available for business administration must be adapted with caution when applying them in the context of small organizations.

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Section: Discussionmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Determinant Variables of Logistic Management in Micro and Small Enterprises

Igarza

Pérez-Campdesuñer

Miguel-Guzmán

et al. 2022

EcoNeg

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“…There are some other studies and applications for industrial companies, that work longer but in different conditions and principles. For example, the forecasting of products consumption having a seasonal character in ensuring steel wire ropes maintenance [46] or on the proposed forecasting system used for prediction of electro-motion spare parts demands in order to reduce stochasticity in this process [47].…”

Section: Discussionmentioning

confidence: 99%

Creation of Annual Order Forecast for the Production of Beverage Cans—The Case Study

et al. 2021

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This article is focused on the creation of a system for forecasting of future orders for a specific beverage cans manufacturer. The problem comes from the irregular ordering of cans from different customers; not only national companies, but also from companies abroad. This causes fluctuations in production and consequently an irregular transport regime. That is why the beverage can producer demanded a forecasting system that would help to create an annual production plan. The aim is to analyze the ordering process for the last two years and on that basis to create a forecast system of the possible ordering process for the following year. This is necessary for the introduction of regularity of production, because the frequent transitions of the line to another assortment range or other surface printing requires long downtimes due to the technological setting, thus creating large losses due to inactivity of the production line. As drinking habits of final customers reflect the sale of cans, it was expected that sale data would have a seasonable character; this was proved after a brief analysis of the former data. After that, the appropriate forecasting methods were chosen. The methodology was created to combine multiple forecast results into one to increase the forecast objectivity. Forecasting is performed at three different levels: forecasting of assortment, forecasting of region sale and total forecasting of all orders. In spite of the change in market behavior in 2020, due to the pandemic situation in the first wave of the COVID-19 crisis, the sale of beverage cans is expected to stabilize and return to pre-crisis level as early as 2021. Then the forecasting system will fully meet the company’s requirements.

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“…These methods are particularly useful for industries with clear patterns in demand and seasonality, which is typical in the textile and apparel industry. Textile companies can make informed predictions about future demand for their products and make strategic decisions to improve their bottom line by analyzing historical sales data, production data, and economic indicators [33,34].…”

Section: Methodsmentioning

confidence: 99%

Possibilities of Sale Forecasting Textile Products with a Short Life Cycle

Kačmáry,

Lörinc

2023

Sustainability

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Almost 115 million tons of fibers comprising almost 90 million tons of chemical fibers were produced in the world in 2021, which are mainly used for the production of clothing and footwear. A total of 30% of textile and apparel products are never sold, which means extreme waste production. This article points out possibilities of forecasting the sales of clothing in the case of one relatively large online store. Inadequate stocks of textile products in the company lead to losses and overstock leads to the need to sell products at a discount, which is undesirable and not sustainable for the company. Therefore, the aim of this research is to design a forecasting system based on classical methods (with emphasis on seasonality) and its verification in practice. The results were verified directly with the real sale or with results from a model based on a neural network. The problem with textile products is that they have a short life cycle, i.e., the length of the life cycle is approximately half a year, and a high seasonality is also presented. Therefore, the seasonal indices and Holt–Winters methods (multiplication and additional approaches) were used for forecasting products. Ultimately, this model could contribute to reducing the loss of unsold goods and thus reduce the waste of resources and increase the use of goods in other similar companies.

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The Design of Forecasting System Used for Prediction of Electro-Motion Spare Parts Demands as an Improving Tool for an Enterprise Management

Cited by 6 publications

References 11 publications

Determinant Variables of Logistic Management in Micro and Small Enterprises

Determinant Variables of Logistic Management in Micro and Small Enterprises

Creation of Annual Order Forecast for the Production of Beverage Cans—The Case Study

Possibilities of Sale Forecasting Textile Products with a Short Life Cycle

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