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Higher Nationals - Summative Assignment Feedback Form Student Name/ID Pham Quy Dat/GCH211292 Unit Title Assignment Number Unit 6 – Managing a Successful Computing Project – Submission Date 1 Assessor Nguyen The Lam Tung Re-submission Date 29/2/2024 29/2/2024 Assessor Feedback: Date Received 1st submission Date Received 2nd submission *Please note that constructive and useful feedback should allow students to understand: a) Strengths of performance b) Limitations of performance c) Any improvements needed in future assessments Feedback should be against the learning outcomes and assessment criteria to help students understand how these inform the process of judging the overall grade Feedback should give full guidance to the students on how they have met the learning outcomes and assessment criteria Grade: Assessor Signature: Date: Resubmission Feedback: *Please note resubmission feedback is focussed only on the resubmitted work Grade: Assessor Signature: Date: Internal Verifier’s Comments: Signature & Date: Dat * Please note that grade decisions are provisional They are only confirmed once internal and external moderation has taken place and grades decisions have been agreed at the assessment 07.03-BM/FG/HDCV/FE 1/0 1/51 Table of Contents TABLE OF CONTENTS 2 TABLE OF FIGURES 2 TABLE OF TABLES 3 I INTRODUCTION 4 II PROJECT INITIALIZATION (P1) 9 III PROJECT MANAGEMENT PLAN (P2) 10 1 SCOPE .10 2 TIME 11 3 COMMUNICATION 12 4 RISKS 14 5 RESOURCES 15 6 COST ESTIMATION 17 IV PLANNING (P3) 18 1 WBS 18 2 GANTT CHART 19 PART 2: RESEARCH (P4) 21 I PRIMARY RESEARCH: 21 1 LIST OF INTERVIEW QUESTIONS (INCLUDE OPENED AND CLOSED QUESTIONS) 23 2 SUMMARY ABOUT INTERVIEW 26 3 LIST OF SURVEY QUESTIONS 26 4 SUMMARY ABOUT SURVEY 28 5 EVALUATION ABOUT INTERVIEW AND SURVEY 32 II SECONDARY RESEARCH 33 1 WHAT IS SECONDARY RESEARCH 33 2 THE ADVANTAGES AND DISADVANTAGES OF SECONDARY RESEARCH 33 3 SECONDARY RESEARCH RESOURCES 34 V EVALUATE THE ACCURACY AND RELIABILITY OF DIFFERENT RESEARCH METHODS APPLIED 37 BIBLIOGRAPHY 39 04.85-BM/ĐT/HDCV/FE 1/0 2/51 Table of Figures FIGURE 1: PROJECT 4 FIGURE 2: LOCATION SENSOR (GPS) 5 FIGURE 3: TEMPERATURE AND HUMIDITY SENSOR 5 FIGURE 4: VELOCITY AND ACCELERATION SENSOR .6 FIGURE 5: DATA COLLECTION 6 FIGURE 6: FORECASTING TRANSPORTATION NEEDS 6 FIGURE 7: LOGISTICS OPTIMIZATION .8 FIGURE 8: BUFFER RATE .21 FIGURE 9: BUFFER COST .21 FIGURE 10: WBS 23 FIGURE 11: GANTT CHART 25 FIGURE 12: QUESTION 1 34 FIGURE 13: QUESTION 2 34 FIGURE 14: QUESTION 3 35 FIGURE 15: QUESTION 4 35 FIGURE 16: QUESTION 5 35 FIGURE 17: QUESTION 6 36 FIGURE 18: QUESTION 7 36 FIGURE 19: QUESTION 8 36 FIGURE 20: QUESTION 9 37 FIGURE 21: QUESTION 10 37 Table of Tables TABLE 1: TIME 12 TABLE 2: COMMUNICATION 14 TABLE 3: RISKS 15 TABLE 4: HUMAN RESOURCES .16 TABLE 5: TOOLS RESOURCES .17 TABLE 6: COST FOR HUMAN .18 TABLE 7: COST FOR TOOLS 19 TABLE 8: COSTS ARISING FROM RISK .22 TABLE 9: THE DIFFERENCE BETWEEN QUALITATIVE RESEARCH AND QUANTITATIVE RESEARCH 27 TABLE 10: DEFINITION OF INTERVIEW AND SURVEY 27 TABLE 11: DIFFERENCE BETWEEN INTERVIEW AND SURVEY .28 TABLE 12: INTERVIEW QUESTIONS AND RESPONSE 31 TABLE 13: THE ADVANTAGES AND DISADVANTAGES OF SECONDARY RESEARCH 40 TABLE 14: THE DISTINCTIONS BETWEEN PRIMARY AND SECONDARY RESEARCH .44 04.85-BM/ĐT/HDCV/FE 1/0 3/51 I Introduction In the context of increasingly becoming the focus of the economy, the logistics industry faces many difficulties in performance and safety management To meet this challenge, the Seaport Logistics Supply Chain Management project is not only a solution but an opportunity to open a potential future of development With the ability to optimize logistics processes, reduce cargo handling time and improve the ability to predict shipping times, the project not only helps the logistics industry overcome current challenges but also creates an environment operate more efficiently By using big data and implementing an IoT system, the project not only helps logistics industry management gather insights from diverse sources but also opens the door for demand prediction and optimization resources This not only delivers huge returns on transparency and efficiency, but also enhances safety and security throughout the entire supply chain With this project, I believe that the logistics industry will not only overcome current challenges but also open the door for sustainable development, which is an important step to push the industry forward in the environment The economy is fluctuating 1 Project name: Logistics Supply Chain Management System at Seaports Figure 1: Project The project's main goal is to optimize the logistics process at the seaport, to reduce loading and unloading time and handling goods At the same time, improving the ability to track and predict transit times, along with increasing safety and security in transportation and storage processes 04.85-BM/ĐT/HDCV/FE 1/0 4/51 In detail, the project will collect data from many different sources such as seaports, ships, containers and transportation vehicles Using big data, we can accurately analyze performance and predict transportation demand, and deploy an IoT system to monitor real-time location, temperature, and humidity of goods An important part of the project was to build a user-friendly interface that provides periodic and real-time information This helps users monitor logistics status conveniently and flexibly, creating an effective and transparent management environment 2 IoT devices for the project We are proud to introduce a diverse set of high-quality IoT devices to support the Logistics Supply Chain Management Project at Seaports Designed to optimize logistics processes, these devices not only provide accurate information about the location and storage conditions of goods but also contribute to predicting transit times and improving efficiency total system capacity Join us to explore the powerful integration of GPS, temperature, humidity, velocity and acceleration sensors to ensure transparency, safety and efficiency in every step of the logistics process Location Sensor (GPS): Use GPS sensors to track the location of transportation vehicles such as ships, containers, and vehicles moving in seaports Integrate location data into the system to improve real-time positioning and tracking processes Figure 2: Location Sensor (GPS) Temperature and Humidity Sensor: Deploy temperature and humidity sensors on containers to monitor the storage conditions of goods Data from this sensor can be used to ensure that goods are transported and stored in safe conditions 04.85-BM/ĐT/HDCV/FE 1/0 5/51 Figure 3: Temperature and Humidity Sensor Velocity and Acceleration Sensor: Velocity and acceleration sensors can be integrated on vehicles to monitor and analyze transport data This data can be used to predict transit times and improve logistics performance Figure 4: Velocity and Acceleration Sensor 3 Big data Using big data technology, the project focuses on automating data collection from various sources such as seaports, sensors, customs systems and paperwork processes Optimized data collection tool to synthesize information on imported and exported goods, port entry time, port departure time, type of goods, storage time, weight of goods, taxes and information customs information Figure 5: Data collection 04.85-BM/ĐT/HDCV/FE 1/0 6/51 Using big data to predict shipping demand and determine estimated times for imports and exports, the project optimizes shipping schedules based on predictive data The goal is to reduce waiting times and increase efficiency in logistics management Figure 6: Forecasting transportation needs In managing goods storage time, big data is applied to evaluate and manage storage time Data on product type and market demand are integrated to determine effective warehouse inbound and outbound schedules To optimize paperwork and customs procedures, big data is used to automate these processes The goal is to minimize time and risk of errors in customs processing Integrating big data to predict expected taxes based on product type and customs process, the project helps automate the tax calculation and payment process This helps reduce the risk of errors and increase accuracy in financial management The project applies big data security techniques to ensure safety and compliance in commodity data management Access control mechanisms are created to allow only necessary users to access sensitive information 5V characteristics of Big Data Volume: Big data from many sources: The project collects data from many sources such as seaports, ships, containers, and transportation vehicles Information such as location, temperature, humidity, transit time, product type, and customs information will generate large amounts of data Collect and synthesize data: Use big data to automate the collection and synthesis of data from many sources, helping to create large amounts of information about goods, transportation processes, and logistics management Velocity: 04.85-BM/ĐT/HDCV/FE 1/0 7/51 Real-time data: The system deploys location sensors (GPS) for real-time transportation tracking, as well as velocity and acceleration sensors to analyze transportation data This creates a continuous stream of high- velocity data for location and performance Predict shipping times: Use big data to predict shipping demand and expected times for imports and exports, optimizing shipping schedules to reduce waiting times and increase logistics performance Variety: Diverse data from multiple sources: The project uses sensors for location, temperature, humidity, velocity, acceleration and many other sources, creating a diverse range of data types This data includes numeric, text, and image information Data aggregation: Big data is used to synthesize data from different sources, helping to create a rich and diverse data set Veracity: Ensuring transparency: Principles of integrating technologies such as big data, IoT and GPS to optimize logistics processes as well as ensure transparency and information security in data management Access control: Apply access control mechanisms to only allow necessary users to access sensitive information, helping to ensure information security and authenticity Value: Performance analysis: Use big data to analyze the performance of the goods management process, thereby evaluating and optimizing processes, minimizing time and costs Demand prediction and schedule optimization: The project uses big data to predict transportation demand and optimize schedules, helping to increase value by reducing waiting times and increasing logistics efficiency 4 Business potential and profits The Seaport Logistics Supply Chain Management project has significant business potential and great profit opportunities thanks to a comprehensive strategy to optimize logistics processes at seaports By integrating advanced technologies such as IoT, GPS and big data analysis, this system aims to increase efficiency, transparency and safety in the process of transporting and storing goods First of all, the main goal of the project is to optimize the logistics process at the seaport, reduce loading and unloading time and improve cargo handling This optimization not only provides time efficiency but can also lead to reduced operating costs, a significant benefit for businesses involved in import and export activities 04.85-BM/ĐT/HDCV/FE 1/0 8/51 Figure 7: Logistics optimization The system also focuses on real-time tracking and monitoring of goods, thanks to the integration of GPS sensors and IoT devices This provides high transparency in the supply chain, leading to better decision making, reducing latency and enhancing overall performance Using big data analytics, the project not only collects but also analyzes a variety of data such as location, temperature, humidity, velocity and acceleration Making decisions based on this information helps improve resource allocation, inventory management and end-to-end supply chain optimization Another important thing is the reduction of costs through automating the process of data collection, paperwork, customs procedures and tax calculations using big data This process not only minimizes manual errors but also helps optimize processing time, contributing to reducing costs and increasing accuracy in financial transactions The system also focuses on enhancing security and compliance through the implementation of access control mechanisms, ensuring that sensitive information is only available to authorized users Compliance with security standards is important to businesses, and the project's focus on data security creates value by minimizing the risk of unauthorized access Ultimately, using big data to predict transportation needs and optimize schedules helps businesses leverage improved forecasting to align their operations with market requirements, avoiding overstocking or lack of goods This not only helps improve performance but also puts businesses in a competitive position with unique and effective supply chain management solutions in the market II Project initialization (P1) The Seaport Logistics Supply Chain Management System project's main goal is to optimize logistics processes, especially in reducing loading and unloading time, improving cargo handling capabilities and Improve safety and security during transportation and storage This project uses advanced technologies such as IoT, GPS and big data analytics to create a comprehensive system to increase efficiency, transparency and ensure safety throughout the supply chain 04.85-BM/ĐT/HDCV/FE 1/0 9/51 The main objective of the project is to reduce loading and unloading times and improve cargo handling capabilities, thereby bringing special benefits of increased efficiency and reduced operating costs to businesses involved in the operation import and export At the same time, the project aims to improve the level of safety and security during transportation and storage, to reduce the risk of accidents, loss of goods and ensure information security throughout the entire supply chain By combining technologies such as IoT, GPS and big data analysis, the project aims to develop a comprehensive information system, helping management make smart and quick decisions This will increase transparency in the logistics supply chain management process, support effective resource management and create seamless connectivity throughout the entire process from transportation to storage The project not only aims to solve the current challenges that the seaport logistics industry is facing but also opens up opportunities for sustainable development in the future By applying technological advances, the project hopes to reshape logistics management, optimize processes and contribute to the stable development of the industry in the context of economic fluctuations The objectives of the Seaport Logistics Supply Chain Management System project are strategically aligned to ensure specific, measurable, achievable, relevant, and time-bound outcomes (SMART) S: In terms of specificity, the project aims to optimize logistics processes at seaports, reduce loading and unloading times, improve cargo handling efficiency, and enhance safety and security in transportation and storage M: The measurable aspects involve quantifying the reduction in loading and unloading times, measuring the improvement in cargo handling efficiency, and monitoring safety and security enhancements throughout the project implementation A: Achievability is addressed by implementing IoT devices, including location sensors, temperature and humidity sensors, velocity, and acceleration sensors, to enable real-time tracking and monitoring Additionally, the project utilizes big data technology to collect and analyze data from various sources, contributing to informed decision-making The development of a user-friendly interface further ensures convenient logistics status monitoring R: Relevance is emphasized through the project's focus on addressing challenges faced by the logistics industry in both performance and safety management Moreover, the objectives align with the industry's increasing significance in the broader economic landscape T: Lastly, the time-bound nature of the objectives is underscored by the commitment to implementing the Logistics Supply Chain Management System within a specified timeframe Setting deadlines for achieving specific milestones, such as the reduction in loading and unloading times, adds a sense of urgency and accountability to the project timeline 04.85-BM/ĐT/HDCV/FE 1/0 10/51