登录查看更多内容

Last updated on 2025年1月20日

What are some of the tools and techniques that you use for forecasting raw materials needs and costs?

由人工智能和领英社区提供技术支持

Forecasting raw materials needs and costs is a crucial aspect of raw materials inventory management. It helps you plan your production, optimize your inventory levels, and avoid stockouts or overstocking. In this article, we will explore some of the tools and techniques that you can use for forecasting raw materials needs and costs, and how they can benefit your business.

此文章中的业界达人

由社区从 5 条内容中精选。了解更多

José Miguel Ruiz Hernandez

Data Analyst | Data-Driven Decision Making | Python | SQL | Power BI | Tableau | 20+ Years in Retail | Team Leadership…
Ujjal Gupta I PMP? I IIM-K

Senior Raw Material Specialist - Team Lead | 20 yrs exp | Supply Chain Management | Green Energy | Oil & Gas I BESS I…
Anubhav Narula

SEO & CRO at Prediko.io - AI Inventory Management for Shopify Brands

1 Demand forecasting

Demand forecasting is the process of estimating the future demand for your products or services, based on historical data, market trends, customer feedback, and other factors. Demand forecasting helps you determine how much raw materials you will need to meet your customer orders and expectations. You can use various methods for demand forecasting, such as qualitative techniques (e.g., surveys, expert opinions, Delphi method), quantitative techniques (e.g., time series analysis, regression analysis, exponential smoothing), or hybrid techniques (e.g., artificial neural networks, fuzzy logic, machine learning).

添加您的观点

José Miguel Ruiz Hernandez

Data Analyst | Data-Driven Decision Making | Python | SQL | Power BI | Tableau | 20+ Years in Retail | Team Leadership & Business Strategy | Retail Area Manager
举报内容
Para pronosticar necesidades y costos de materias primas se utilizan herramientas como series temporales, modelos econométricos y machine learning. Técnicas como el análisis de tendencias, suavización exponencial y ARIMA ayudan a identificar patrones históricos. Los indicadores macroeconómicos, precios de mercado, y tasas de cambio se analizan con software como Excel, Python o R. También se aplican métodos cualitativos, como opinión de expertos y análisis Delphi, para complementar datos cuantitativos. Sistemas ERP y plataformas de inteligencia empresarial facilitan la integración y seguimiento de información en tiempo real.

已翻译

赞
Anubhav Narula

SEO & CRO at Prediko.io - AI Inventory Management for Shopify Brands
举报内容
When we are talking about the type of data that is considered in demand forecasting, brands should take into account historical sales data in addition to the quantity of that good used.

已翻译

赞

2 Cost forecasting

Cost forecasting is the process of estimating the future costs of your raw materials, based on historical data, market conditions, supplier contracts, and other factors. Cost forecasting helps you budget your expenses, negotiate better deals, and identify potential savings or risks. You can use various methods for cost forecasting, such as cost indexes, cost models, cost curves, or cost simulation.

添加您的观点

Ujjal Gupta I PMP? I IIM-K

Senior Raw Material Specialist - Team Lead | 20 yrs exp | Supply Chain Management | Green Energy | Oil & Gas I BESS I Future Metals I Cost Optimization I Project Management
举报内容
Although the traditional demand and supply dynamics play a crucial role, there are more indirect factors which are nowadays affecting the material prices globally like Global economic scenario, geo political situations , Logistics and labour scenarios to name a few.

已翻译

赞

3 Inventory forecasting

Inventory forecasting is the process of estimating the optimal inventory levels of your raw materials, based on your demand and cost forecasts, inventory policies, and inventory constraints. Inventory forecasting helps you balance your inventory costs (e.g., holding, ordering, shortage) and your service level (e.g., fill rate, stock availability, customer satisfaction). You can use various methods for inventory forecasting, such as economic order quantity (EOQ), reorder point (ROP), safety stock, or inventory optimization software.

添加您的观点

Anubhav Narula

SEO & CRO at Prediko.io - AI Inventory Management for Shopify Brands
举报内容
At Prediko.io, one of our customers was able to reduce their stockout percentage from 4% to 1% just by leveraging AI in their inventory forecasting method.

已翻译

赞

4 Sensitivity analysis

Sensitivity analysis is the process of testing how your forecasts change when you vary one or more input parameters, such as demand, cost, lead time, or inventory policy. Sensitivity analysis helps you measure the uncertainty and risk of your forecasts, and evaluate the impact of different scenarios or alternatives. You can use various methods for sensitivity analysis, such as what-if analysis, scenario analysis, Monte Carlo simulation, or tornado charts.

添加您的观点

Tatiane Pimenta

Recursos Humanos || Gest?o de Pessoas || Rotinas e Cálculos Trabalhistas ||
举报内容
A análise de sensibilidade é uma técnica usada para prever como mudan?as em diferentes parametros, como demanda, custo, prazo de entrega ou política de estoque, podem afetar as necessidades e custos de matérias-primas. Ao variar esses parametros, a análise ajuda a entender o impacto de diferentes cenários e a medir os riscos e a incerteza nas previs?es. Algumas das ferramentas utilizadas incluem análise hipotética, análise de cenário, simula??o de Monte Carlo e gráficos de tornados, que ajudam a visualizar e comparar os efeitos das mudan?as nos parametros.

已翻译

赞

5 Forecast accuracy

Forecast accuracy is the measure of how close your forecasts are to the actual outcomes, based on historical data or actual performance. Forecast accuracy helps you assess the quality and reliability of your forecasts, and identify the sources of error or bias. You can use various methods for measuring forecast accuracy, such as mean absolute deviation (MAD), mean absolute percentage error (MAPE), mean squared error (MSE), or tracking signal.

添加您的观点

6 Forecast improvement

Forecast improvement is the process of improving your forecasts by reducing the error or bias, and increasing the accuracy or precision. Forecast improvement helps you enhance your decision making, planning, and performance. You can use various methods for improving your forecasts, such as forecast adjustment, forecast combination, forecast feedback, or forecast control.

添加您的观点

7 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

添加您的观点

Raw Materials

+ 关注

给文章评分

我们借助人工智能创建了此文章。您认为这篇文章怎么样？

很棒不太好

举报此文章

查看全部

What are some of the tools and techniques that you use for forecasting raw materials needs and costs?

1

2

3

4

5

6

7

1 Demand forecasting

2 Cost forecasting

3 Inventory forecasting

4 Sensitivity analysis

5 Forecast accuracy

6 Forecast improvement

7 Here’s what else to consider

Raw Materials

给文章评分

感谢您的反馈

更多Raw Materials相关文章

更多相关阅读内容