18048195. SUPPLY CHAIN MANAGEMENT USING CMMIS simplified abstract (Saudi Arabian Oil Company)

SUPPLY CHAIN MANAGEMENT USING CMMIS

Organization Name

Saudi Arabian Oil Company

Inventor(s)

Abdullah S. Al-husaiki Al-ghamdi of Dhahran (SA)

Saad M. Qahtani of Dhahran (SA)

Mubarak H. Hajri of Dhahran (SA)

Rami Z. Amri of Dhahran (SA)

Majed A. Jameel of Dhahran (SA)

Saad A. Qahtani of Dhahran (SA)

SUPPLY CHAIN MANAGEMENT USING CMMIS - A simplified explanation of the abstract

This abstract first appeared for US patent application 18048195 titled 'SUPPLY CHAIN MANAGEMENT USING CMMIS

The patent application describes a method for automated supply chain management that involves monitoring locations to calculate supply chain metrics and taking remedial actions if alarm levels are exceeded.

• The method calculates supply chain metrics such as emergency purchases, canceled purchases, and aged inventory.
• Each supply chain metric is assigned a weighted score out of 100.
• If an alarm level is exceeded, a remedial action is automatically performed at the responsible location.

Potential Applications

This technology can be applied in various industries such as retail, manufacturing, and logistics to streamline supply chain operations and improve efficiency.

Problems Solved

This technology addresses issues related to supply chain disruptions, excess inventory, and inefficient purchasing practices by providing real-time monitoring and automated responses.

Benefits

The benefits of this technology include improved inventory management, reduced costs, increased operational efficiency, and enhanced decision-making based on real-time data.

Commercial Applications

With its ability to optimize supply chain processes and prevent disruptions, this technology has significant commercial applications in industries where efficient inventory management is crucial for success.

Prior Art

There is prior art related to automated supply chain management systems, but this specific method of calculating supply chain metrics and automatically triggering remedial actions based on alarm levels is a novel approach.

Frequently Updated Research

Ongoing research in supply chain management focuses on enhancing automation, improving predictive analytics, and integrating AI technologies to further optimize operations.

Questions about Automated Supply Chain Management

Question 1

How does this technology compare to traditional supply chain management methods?

Traditional supply chain management methods rely on manual monitoring and decision-making processes, while this technology automates monitoring and response actions based on predefined metrics and alarm levels.

Question 2

What are the potential challenges in implementing automated supply chain management systems in large-scale operations?

Implementing automated supply chain management systems in large-scale operations may face challenges such as data integration, system compatibility, and resistance to change from existing processes.

Original Abstract Submitted

A method for providing automated supply chain management at one or more locations involves monitoring the one or more locations in order to calculate one or more supply chain metrics, and determining whether at least one of the supply chain metrics has exceeded an alarm level. The method also includes, in response to determining that at least one of the supply chain metrics has exceeded the alarm level, automatically performing a remedial action at a location that was responsible for the alarm. The one or more supply chain metrics are related to one or more of: emergency purchases, canceled purchases, and aged inventory. Each of the one or more supply chain metrics is assigned an individual weighted supply chain metric score out of 100.