Micro-enterprise Management Towards Scenario Building for Decision Making

Flores, Paula Vanessa Peclat; Segura, Estefani; Jaramillo, Rubén; Ulcuango, Luis; Suárez, Lizbeth

doi:10.1007/978-3-031-25942-5_45

Cited by 2 publications

(1 citation statement)

References 9 publications

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“…In particular, this applies to the algorithms for selecting directions of innovative development and methodology for determining the quality of planning work of the Department of foreign economic activity. Flores et al, [12], focused attention on various management factors of microenterprises that influence management decisions. Researchers identified factors for constructing microenterprise management scenarios with emphasis on permanence, corporate social responsibility, knowledge management and microenterprise development.…”

Section: Introductionmentioning

confidence: 99%

Scenario Forecasting of Enterprise Development Under Conditions of Uncertainty

Zubro,

Serhiienko

2023

Смарт-економіка, підприємництво та безпека

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Today's institutional environment for large, medium-sized and small enterprises is dynamic and difficult to predict. The global crisis caused by fundamental changes in the business environment and financial markets has caused a structural breakdown in the logic of doing business, putting on the agenda the problem of choosing the most efficient way for companies to develop with the least expenditure of resources. Scenario forecasting can help managers to make the right decisions and thus reduce the negative impact of the external environment on the business.The information basis for our study was the results of the development of large, medium, small and micro-enterprises in Ukraine for the years 2011-2021. In order to implement scenario prediction, we used methods of mathematical modelling and forecasting, based on the study of the performance of economic systems over a certain retrospective period. Using the Farrar-Glober algorithm, we tested the multicollinearity or interdependence between the indicators. The forecasting of the development of enterprises under conditions of uncertainty is proposed to be carried out according to three scenarios.Consequently, the implementation of the modelling logic has shown that for both entrepreneurship as a whole and for its individual types, the first scenario with a 10% increase in labour costs, while the amount of non-current assets remains unchanged, has the greatest effect. The highest rate of growth in the volume of output sold is provided by all scenarios considered for medium-sized enterprises, slightly less for large enterprises and the lowest for small and micro-enterprises.The proposed scenario forecasting of enterprise development under uncertainty is easy enough to use and does not require a significant amount of labour or financial resources, which is especially important in the context of any business entity's desire to conserve resources. The value of our proposed modelling is in the fact that using the obtained equations of multiple linear regression, it is possible to estimate other possible scenarios of enterprise development and select the best one among them.

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Section: Introductionmentioning

confidence: 99%

Scenario Forecasting of Enterprise Development Under Conditions of Uncertainty

Zubro,

Serhiienko

2023

Смарт-економіка, підприємництво та безпека

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Raw material management for rubber parts manufacturing supply chain using the LPSC model

Klaidaeng,

Butdee,

Boonmee

2024

Journal of Achievements in Materials and Manufacturing Engineering

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The paper proposes a new raw material cost management concept in the rubber parts supply chain using the Linear Programming Sharing Cost (LPSC). Rubber parts are widely used in the auto parts industry. There are a variety of product models and material types as well as produced by several subcontractors in the 2nd Tier companies. However, the whole chain controls overall cost management as the 1st Tier company. Cost-effective models are more important in the competitive era.The research methodology combined linear programming (LP) with sharing cost (SC) and was applied to inventory management. The LPSC model is developed to deal with Tier 1 companies linked with Tier 2 companies of the subcontractors. The LPSC is combined with the EOQ inventory management model.A new approach has been developed to reduce the cost of raw material management in the rubber part supply chain.The limitation of the model development is that it does not yet have real-time control of the supply chain management system.The conceptual idea was introduced to Thailand's automotive rubber part supply chain and accepted for testing with the pilot test of actual orders.The paper presents the new conceptual raw material cost management model in the automotive rubber part supply chain. The LPSC combined with EOQ is effective, increases value to the supply chain, and simultaneously reduces waste and overproduction.

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Micro-enterprise Management Towards Scenario Building for Decision Making

Cited by 2 publications

References 9 publications

Scenario Forecasting of Enterprise Development Under Conditions of Uncertainty

Scenario Forecasting of Enterprise Development Under Conditions of Uncertainty

Raw material management for rubber parts manufacturing supply chain using the LPSC model

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