Final exam subject information systems management

Big data managemert system Big Da†a ...L nh nhu GPS Tracking and Positioning Sys†em _...- nh Ho ren APPLICATION OF KNOWLEDGE MANAGEMENT SYSTEM OF LOGISTICS ..7 Optimize shipping sched

NGUYEN TAT THANH UNIVERSITY

NTT INTERNATIONAL INSTITUTE EDUCATION

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FINAL EXAM SUBJECT: INFORMATION SYSTEMS MANAGEMENT

Lecturer Le Song Thanh Quynh

Duong Hai Duyen 2000003566

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TABLE OF CONTENTS INTRODUCING KNOWLEDGE MANAGEMENT SYSTEM IN LOGISTICS 3 BENEFITS OF KNOWLEDGE MANAGEMENT SYSTEM 4

Developing organizational caDaCily ch kệ Z

CHALLENGES IN IMPLEMENTING KNOWLEDGE MANAGEMENT SYSTEM

IN LOGISTICS FIELD oo Ö 5

IV

Continuous changes And Update .- LH HH HH khu

Develop and maintain an appropriate Knowledge managemeri system

Understanding the value of Knowledge managemert in logistics ‹ KNOWLEDGE MANAGEMENT SYSTEM MODELS AND TOOLS IN THE

FIELD OF LOGISTICS ooo nga e €

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7

Big data managemert system (Big Da†a) .L nh nhu

GPS Tracking and Positioning Sys†em _ - nh Ho ren

APPLICATION OF KNOWLEDGE MANAGEMENT SYSTEM OF LOGISTICS 7

Optimize shipping schedule nhu

lnventory managemernt - nh HH HH HH KH HH kiệt

Knowledge management and learning system in the logistics industry 1( Developing logistiCs s†ra†@Qy_ LH nhi kkrt 1

VỊ FUTURE OF KNOWLEDGE MANAGEMENT SYSTEM 12 VII CONCLUSION ooo rr nn nn nn nnn d 16 REFERENCES Ÿš 1

| INTRODUCING KNOWLEDGE MANAGEMENT SYSTEM IN LOGISTICS

Knowledge m anagement system (KMS) in the field of logistics is a knowledge and information management system dedicated to the management, organization, and use information related to logistics activities Knowledge management systems in logistics help synthesize data from many different sources such as loT sensors, transportation syster weather, and data from supply chain management (SCM) systems This system provides too and methods to optimize logistics processes, predict product demand, manage inventory, ar improve organizational performance (Adam 2017)

In a constantly changing logistics environment, Knowledge management system plays a ke role in providing reliable information and data for decision support and process optimization

It is capable of integrating data from multiple sources and uses artificial intelligence (Al) and machine learning technology to predict demand, optimize shipping schedules, and minimize loss

Some specific applications of KMS in logistics include inventory management, transportation schedule optimization, traffic prediction, risk management, and the development of learninc

and knowledge sharing systems in the industry (Adam 2017).

II BENEFITS OF KNOWLEDGE MANAGEMENT SYSTEM

1 Improve decision making process

Knowledge management systems provide reliable and aggregated information from a variet

of sources, from shipping data to weather information This helps logistics managers maki

decisions based on actual data and more accurate predictions (Tio 2020)

"When applying KMS, decisions regarding shipping schedules and inventory managemen become more efficient, helping to reduce errors and optimize processes" (Brackin 2019)

2 Minimize knowledge waste

Knowledge management systems store important organizational knowledge and informatio! about logistics processes, demand forecasting, and production planning This helps avoi knowledge loss when employees leave the organization (Qonesen 2018)

The organization and storage of knowledge in a Knowledge management system helps preve

knowledge waste and facilitates continuous knowledge sharing” (Wensi 2021)

3 Promote creativity and continuous learning

Knowledge management system connects experts and employees from all over, allowing the:

to learn and share experiences This promotes innovation and improves organizationé performance (Wensi 2020)

"Knowledge management system acts as a continuous learning platform, helping opportunitie for learning and creativity to never be limited" (Wiliam 2019)

4 Develop organizational capacity

Knowledge management systems help organizations develop capabilities in supply chai management, transportation tracking, and risk management This enhances the organizatio1 ability to meet customer needs (Datone 2022)

"Developing organizational capacity through Knowledge management system is an importan factor to optimize processes and compete more effectively in the logistics market" (Wensi 2020

II CHALLENGES IN IMPLEMENTING KNOWLEDGE MANAGEMENT

SYSTEM IN THE LOGISTICS FIELD

1 Ability to integrate multi-source data

In the field of logistics, data comes from many different sources such as loT sensors

transportation systems, weather information, and many other systems It is important to b able to effectively integrate and manage all these types of data As Andew (2020) points out

"Multi-source data integration requires flexibility and cloud data processing capabilities to provide reliable information and decision support in logistics."

2 Information security

Logistics contains a lot of important information, including shipping schedules, cargo information, and customer data Ensuring confidentiality and preventing information security threats is an important priority Jones (2019) emphasized, "Information security in logistics requires investment in encryption systems and continuous security testing to protect importar data

3 Change and update continuously

The logistics sector is a constantly changing environment, with technological developments: and market changes Knowledge needs to be constantly updated to keep up with these chanc

In the words of White (2020), "Continuous updates of Knowledge management systems ar

environment."

4 Develop and maintain appropriate Knowledge management syste m

Building and maintaining an effective knowledge management system requires resources ar technical knowledge Brown (2021) addresses this issue and states, "Developing an maintaining a Knowledge management system requires investment in both human an financial resources to ensure smooth integration and operations."

5 Understanding the value of Knowledge management in logistics

Another important challenge for knowledge management systems in logistics is how to make users in this industry understand and see the value of this system Davis (2018) commente

"Understanding and training play an important role in promoting the use of KMS and creating

awareness of the benefits it brings to logistics."

IV KNOWLEDGE MANAGEMENT SYSTEM MODELS AND TOOLS IN THE

FIELD OF LOGISTICS

1 Learning management system (LMS )

Knowledge management system model specialized in managing and providing learninc

content In logistics, LMS can be used to train and develop employees, provi ding courses ¢ inventory management, transportation, and other logistics processes (Sdanet 2018)

2 Big Data Management System (Big Data)

Using big data technology, logistics can collect and analyze large amounts of data from different sources such as loT sensors, shipping data, and weather information This help predict traffic conditions, manage inventory based on real-time data, and optimize shippinc schedules (Chenia 2020)

3 Artificial Intelligence (Al) and Machine Learning

Al and Machine Learning play an important role in creating prediction and optimization models in logistics They can be used to predict demand, optimize transportation schedule: and develop automation solutions (Zhang 2019)

4 GPS Tracking and Positioning System

Using GPS and tracking devices, logistics can track the exact location of vehicles and good:

This system helps manage schedules, improve customer satisfaction, and reduce losses (Fi

2018)

5 Supply chain management system (SCM)

SCM is a type of Knowledge management system used to manage and optimize the supp chain, including supplier management, inventory, and transportation SCM has a significant impact on logistics operations by optimizing the links between steps in the production anc delivery process (Anderson 2019)

V KNOWLEDGE MANAGEMENT SYSTEM OF LOGISTICS APPLICATION

1 Optimize shipping schedules

Optimizing transportation schedules is one of the important aspects of Knowledge Management System in the logistics field It helps optimize the process of transporting good: from point A to point B, while improving efficiency and reducing costs Below is a more

detailed description of the application of Knowledge management system in logistics:

As we all know, one of the major challenges in logistics is optimizing transportation schedules

to ensure goods are delivered on time and at the lowest cost The knowledge manageme

system is a powerful tool that helps manage and optimize this process by combining historicé shipping data and traffic information to perform the following tasks:

First, determine the optimal route: Knowledge management system uses historical shippin: data and traffic situation information to determine the optimal route for delivery It is capable

of predicting and evaluating different route options, calculating the expected time and cost fo each option, thereby helping to choose the most optimal choice based on factors such % distance, time and fuel costs

Second, allocating drivers and vehicles: Knowledge management system not only help: determine optimal routes but also supports the process of effectively allocating drivers anc vehicles Based on transportation data and driver and vehicle information, it can determin which drivers are best suited to each schedule and which vehicles need to be used to me transportation needs

Finally, minimize time and cost: The main goal of shipping schedule optimization is to minimize time and cost Knowledge management systems can provide real-time informatior about traffic conditions, help adjust schedules when incidents occur, avoid traffic jams, anc optimize delivery times This not only helps meet customer needs but also reduces transportation costs and saves fuel

In summary, the application of Knowledge management system in optimizing transportation schedules in the logistics sector not only helps improve performance but also create significant financial benefits for the organization, while ensuring that goods are transport efficiently and meet customer needs (Smith 2021)

2 Inventory management

Inventory management is an important part of the logistics process, and Knowledge management systems provide the necessary tools to perform this task effectively, an Knowledge management systems can play a decisive role in improving inventory management processes Specific applications of Knowledge management system in invento management include:

Real-time inventory tracking: Knowledge management system connects to the warehous management system and provides real-time inventory data This allows inventory manager

to track the quantity and condition of items in the warehouse without having to perform manual counts

Create alerts when new orders need to be placed: Knowledge management systems cé automatically create alerts when inventory of a specific product or component falls below a certain threshold This helps organizations meet customer needs in a timely manner and avo product shortages, which is especially important in the logistics industry where delivery times are Critical

Optimize storage: Knowledge management system has the ability to analyze inventory dat

to recommend the best way to store goods This can include placing goods in appropriat warehouse locations to minimize search time and save storage space

Demand prediction: Knowledge management systems can use historical data and marke trends to predict future product demand This prediction helps organizations intelligently plan production and ordering to avoid backlogs or shortages

Minimize loss and destruction: By tracking inventory and generating alerts, the Knowledge management system helps minimize loss and destruction of goods Accurate inventor management helps ensure that goods are always ready for delivery and avoids wastir

resources

In total, Knowledge management system not only helps manage inventory effectively but als« provides detailed information and data analysis to help organizations meet customer neec optimally and minimize loss and destruction damage of goods (Nguyen 2020)

3 Forecast product demand

Knowledge management systems contain within them a significant ability to predict product demand, an important element for managing inventory and production processes in th logistics sector This can be done through the use of historical data, but is not limited to that

It combines data from various sources, such as seasonal factors and market trends, to cre accurate predi ctions about product demand These analytics can support important decisic such as:

Optimize the production process : By knowing the potential future demand of the product

based on historical data and factors such as season and market trends, the organization ‹

optimize the production process This means producing goods on a smart schedule ar

avoiding product backlogs

Smart order planning : Demand forecasting helps organizations determine when and hov much product to order By knowing potential demand in advance, organizations can place orders effectively, avoiding shortages or excessive inventory

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Meet customer needs : One of the great benefits of demand forecasting is the ability to be meet customer needs When organizations have the ability to predict and plan based c

expected demand, they can deliver goods and services at the rig ht time, in the right quanti

and with the right quality

Minimize financial risk : Demand forecasting also helps organizations minimize financial risk, because they do not need to maintain large and expensive inventories when they are n needed This can lead to savings in capital and financial resources

In short, Knowledge management system not only predicts demand intelligently but alsc

combines many different factors to create more accurate predictions, helping organization

optimize production and ordering processes, avoiding shortage of goods or inventory (Let

2019)

4 Manage orders and track deliveries

A knowledge management system is not simply a tool that helps an organization store information about orders and deliveries, but is also a system that automates this process improve efficiency and ensure accuracy body Specific applications of KMS in order management and delivery tracking include:

Automate order processing : Knowledge management system has the ability to automaticall process orders from customers It can automatically check information, identify products, calculate freight rates and create order records This helps reduce the time and effoi employees have to spend manually processing orders

Track the delivery process in real time: Knowledge managemnet system provides the ability

to track the delivery process and update information in real time Thanks to integration with shipping systems and cargo tracking devices, organizations can know the location and stat

of their goods in real time This enhances responsiveness and keeps customers informed abi delivery status

Delivery schedule management : Knowledge management system has the ability te

intelligently manage delivery schedules It can determine the optimal delivery time based or

traffic conditions and order priorities This helps ensure that goods are delivered on time an that customer needs are met effectively

Minimize errors : Automating order processing and delivery tracking helps reduce errors due

to human intervention This includes avoiding errors in data entry and ensuring that orde|

information is accurate and consistent

In short, KMS not only helps increase responsiveness and reduce errors in order manageme and delivery tracking, but also improves organizational performance by automating workflows important in logistics (Wang 2022)

5 Analyze performance data

A knowledge management system is not just a data storage tool, but also has the ability t analyze performance data of logistics elements to provide the information needed to manac and improve operations Specific applications of Knowledge management systems ir performance data analysis include:

Evaluate delivery time : Knowledge management system has the ability to collect and analyz data on delivery time from previous deliveries It can determine the accuracy of expected an: actual delivery times This helps the organization see where and when the delivery proces may run into difficulties and find ways to improve accuracy and meet customer needs Evaluate shipping costs : Knowledge management system has the ability to analyze shippin cost data from previous shipments It can determine detailed expenses, such as fuel cos insurance costs, and vehicle maintenance costs This helps organizations optimize resourc and find ways to minimize transportation costs

Ability to respond to customer needs : Knowledge management systems can track a organization's response to customer needs by reviewing delivery times, quantities deliverec and order status This helps organizations know how responsive they are and find ways t optimize processes to ensure customer satisfaction

Find opportunities for improvement : Analyzing performance data through Knowledge systems helps organizations identify opportunities for improvement It has the ability to detec’ problems or inefficiencies in the logistics process and suggest corrective measures This hel} organizations improve performance and optimize processes

Overall, a Knowledge management system is not only a tool to store data but also has tr

ability to analyze performance data to help organizations evaluate and improve importan factors in logistics such as delivery times, shipping costs and ability to meet customer neec (Garcia 2021)

6 Knowledge management and learning systems in the logistics industry

Knowledge management system is not only a document repository, but also a learning an knowledge sharing system It is capable of organizing and managing documents, lessons, a! experiences from experts and experienced people in the field of logistics Specific application

of KMS in knowledge and learning management include:

Support training new employees : When new employees are hired, the Knowledge

management system provides a source of learning materials and guidance to help them mas

the basics of logistics This helps ensure that new employees have the best preparation befc participating in real work

Share experience and information from experts : Knowledge management system allow: experts and experienced people to share their knowledge and experience through writin

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