登录查看更多内容

How can you use data to track the temperature and humidity of perishable goods?

由人工智能和领英社区提供技术支持

Perishable goods are products that can spoil or deteriorate quickly if exposed to unfavorable conditions, such as high temperature, humidity, or light. They include food, beverages, flowers, pharmaceuticals, and cosmetics. Transporting perishable goods requires careful planning and monitoring to ensure their quality and safety throughout the supply chain. In this article, you will learn how you can use data to track the temperature and humidity of perishable goods during transit and storage.

此文章中的业界达人

由社区从 5 条内容中精选。了解更多

Chethan M Gowda

??LinkedIn Top Voice I DGM- Fulfilment Center | SCM - Lean Warehouse Operation
Alfonso Molina Rico

Urban Logistics / Innovation Project Manager en CITYlogin Iberia

1 Why is data important?

Data is essential for managing the quality and shelf life of perishable goods. Data can help you identify the optimal conditions for each product, such as the ideal temperature and humidity range, the maximum transit time, and the best packaging and handling methods. Data can also help you detect and prevent any deviations or anomalies that could compromise the product's integrity, such as temperature fluctuations, humidity spikes, or mechanical shocks. Data can also help you optimize your transportation and storage costs, by reducing waste, spoilage, and losses.

添加您的观点

Alfonso Molina Rico

Urban Logistics / Innovation Project Manager en CITYlogin Iberia
举报内容
La tecnologia IOT (Internet de las cosas) nos permite hoy en dia seguir la trazabilidad de un contenedor, de un palet o de un producto mediante baliza GPS e interconectada que puede emitir información relativa a la humedad, la temperatura, la seguridad (apertura no autorizada de puertas) que nos permitirán en todo momento conocer el estado del pedido y del producto reduciendo los riesgos inherentes y recopilando información al historico para la toma de decisiones al respecto de la cadena de suministro elegida, del proveedor de servicios, etc....

已翻译

赞
Asad Jan Khan

CLTD | MBA | ME | BE (Logistics, Transportation and Distribution Professional)
举报内容
Here are some key methods: 1. Sensors & Data Loggers: Temperature sensors: Data loggers: 2. Smart Packaging & Labels: Time-Temperature Indicators (TTIs): Radio Frequency Identification (RFID): 3. Cloud-Based Monitoring Systems: Data collected from sensors and loggers can be transmitted to secure cloud platforms. These platforms offer features like: Real-time monitoring: Alerts & Notifications: Data Analysis & Reporting:

已翻译

赞

2 How can you collect data?

There are various ways to collect data on the temperature and humidity of perishable goods. One of the most common methods is to use sensors or loggers that are attached to the product, the package, or the container. These devices can measure and record the temperature and humidity levels at regular intervals, and transmit the data to a central system or a cloud platform. Some sensors or loggers can also measure other variables, such as pressure, vibration, or location. Another method is to use smart labels or tags that can change color or display information based on the temperature or humidity changes. These labels or tags can be scanned or read by a smartphone or a reader.

添加您的观点

Alfonso Molina Rico

Urban Logistics / Innovation Project Manager en CITYlogin Iberia
举报内容
Los dispositivos IOT permiten recopilar información de manera remota cada x horas, lo que los hace muy valiosos, pero enfrentan desafios en cuanto a la durabilidad de las baterias y el coste de los mismos.

已翻译

赞

3 How can you analyze data?

Once you have collected the data, you need to analyze it to extract meaningful insights and actionable recommendations. You can use various tools and techniques to analyze the data, such as dashboards, charts, graphs, reports, or alerts. You can also use advanced analytics, such as machine learning, artificial intelligence, or predictive modeling, to identify patterns, trends, anomalies, or risks. You can use the data analysis to evaluate the performance of your transportation and storage processes, to identify the root causes of any quality issues, to improve your decision making, and to enhance your customer satisfaction.

添加您的观点

Alfonso Molina Rico

Urban Logistics / Innovation Project Manager en CITYlogin Iberia
举报内容
Recopilar estos datos en un historico y conectarlo a sistemas de gestión o de toma de decision o seguimiento es esencial para sacar el maximo rendimiento a los dispositivos IOT.

已翻译

赞

4 How can you share data?

Sharing data is crucial for ensuring the transparency and traceability of your perishable goods. You can share data with your internal and external stakeholders, such as your suppliers, carriers, distributors, retailers, or customers. You can use various platforms and formats to share data, such as web portals, mobile apps, email, or SMS. You can also use standards and protocols to ensure the compatibility and interoperability of your data, such as RFID, QR codes, or blockchain. Sharing data can help you build trust and loyalty with your partners and customers, as well as comply with the regulatory and ethical requirements.

添加您的观点

5 How can you use data to compare transportation modes?

Data can also help you compare the advantages and disadvantages of different transportation modes for your perishable goods, such as air, road, rail, or sea. You can use data to evaluate the impact of each mode on the quality, cost, speed, and sustainability of your perishable goods. For example, you can use data to compare the temperature and humidity variations, the transit time, the fuel consumption, and the carbon footprint of each mode. You can use data to select the best mode or combination of modes for your perishable goods, depending on your product characteristics, your customer expectations, and your business goals.

添加您的观点

Chethan M Gowda

??LinkedIn Top Voice I DGM- Fulfilment Center | SCM - Lean Warehouse Operation
举报内容
To track perishable goods' temperature and humidity: 1. Install sensors for real-time monitoring. 2. Set alerts for deviations from optimal conditions. 3. Record data for analysis and compliance. 4. Use analytics to forecast and improve processes. 5. Integrate data with supply chain systems. 6. Collaborate with suppliers for quality assurance. 7. Continuously monitor and optimize based on data insights.

已翻译

赞

6 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

Transportation Management

+ 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

How can you use data to track the temperature and humidity of perishable goods?

1

2

3

4

5

6

1 Why is data important?

2 How can you collect data?

3 How can you analyze data?

4 How can you share data?

5 How can you use data to compare transportation modes?

6 Here’s what else to consider

Transportation Management

给文章评分

感谢您的反馈

更多Transportation Management相关文章

更多相关阅读内容

How can you use data to track the temperature and humidity of perishable goods?

1

2

3

4

5

6

1 Why is data important?

2 How can you collect data?

3 How can you analyze data?

4 How can you share data?

5 How can you use data to compare transportation modes?

6 Here’s what else to consider

Transportation Management

给文章评分

感谢您的反馈

查看其他技能