不確実性下の生産活動における経営意思決定のためのシナリオ計画
SCENARIO PLANNING AS A TOOL FOR MANAGERIAL DECISION-MAKING IN PRODUCTION ACTIVITIES UNDER CONDITIONS OF UNCERTAINTY (原題)
A. Hrechko, O. Mukha
🤖 gxceed AI 要約
日本語
本研究は、地政学・経済ショック下の動物飼料製造企業を対象に、シナリオ計画を経営意思決定ツールとして適用。財務分析・PEST分析に基づき、楽観・標準・悲観の3シナリオを構築し、設備更新やコスト削減戦略を提示。不確実性下での資源配分とリスク管理の枠組みを提供する。
English
This study applies scenario planning as a managerial decision-making tool for an animal feed manufacturer under geopolitical and economic shocks. Using financial and PEST analyses, it constructs optimistic, baseline, and pessimistic scenarios for a one-year horizon, offering strategies for equipment renewal, cost cutting, and risk mitigation. Provides a structured framework for resource allocation under uncertainty.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
本論文はGX・気候変動関連の要素を欠くが、不確実性下の事業継続計画は日本の製造業にも示唆を与える。ただし、脱炭素やESG開示との直接的な関連は薄く、日本のGX文脈での位置づけは限定的。
In the global GX context
The paper lacks direct GX or climate-related content, but its scenario planning approach under uncertainty could inform corporate resilience strategies. However, it does not address decarbonization, ESG disclosure, or transition finance, limiting its relevance to global GX scholarship.
👥 読者別の含意
🔬研究者:Scenario planning methodology for manufacturing under uncertainty, though not GX-specific.
🏢実務担当者:May offer a decision-making framework for production planning, but no ESG or sustainability integration.
📄 Abstract(原文)
The current economic environment is characterized by profound volatility and unpredictability, posing significant threats to business survival. For the manufacturing sector, particularly animal feed producers, operations have been severely disrupted by geopolitical and economic shocks. Under these circumstances, traditional forecasting methods lose their reliability, creating a critical need for advanced analytical tools to support managerial decision-making. The purpose of this research is to explore and implement scenario planning as a strategic management instrument tailored for manufacturing activities under extreme uncertainty, focusing on the operational framework of LLC NVP Ukrzoovetprompostach. The relevance of the study stems from the urgent necessity of transitioning from reactive survival tactics to proactive resource management and technological modernization. To achieve this objective, the study employs a comprehensive set of general scientific and specific economic methods. Financial and ratio analyses are utilized to diagnose the liquidity, profitability, and efficiency of fixed asset utilization over a multi-year period. A comparative analytical method allows benchmarking the enterprise’s financial performance against direct industry competitors. Furthermore, a PEST analysis is conducted to map the macro-environmental forces affecting the national animal feed market. Finally, the scenario planning method is applied to synthesize diagnostic findings into actionable pathways. The results of the diagnostic phase revealed critical vulnerabilities within the target enterprise, including a substantial physical deterioration of fixed assets exceeding normative thresholds, insufficient absolute liquidity, and a lagging net profit margin. Based on these empirical findings, three divergent development scenarios were constructed for a one-year horizon. The optimistic scenario delineates a strategy of intensive technological growth, premised on favorable market conditions and external funding, allowing for the comprehensive replacement of outdated equipment. The baseline scenario models a gradual renewal strategy, relying on internal financing to target specific production bottlenecks. Conversely, the pessimistic scenario outlines a survival strategy in a deteriorating macroeconomic climate, necessitating strict cost-cutting measures, staff optimization, and the substitution of new equipment purchases with capital repairs. The practical value of the obtained scientific results lies in providing corporate management with a structured, adaptable matrix for decision-making. By integrating these specific scenarios into daily operations, managers can anticipate market shifts, allocate resources efficiently, and mitigate financial risks, ensuring the continuous optimization of production processes in a highly volatile environment.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://economicspace.pgasa.dp.ua/article/download/369936/354423first seen 2026-08-30 05:09:08 · last seen 2026-09-20 04:55:12
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