asm1 1625 (merit) greenwich

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.

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* Please note that grade decisions are provisional. They are only confirmed once internal and
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assessment.

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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

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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

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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.

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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.

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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

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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:

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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.

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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.

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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.

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III. Project Management Plan (P2)

1. Scope

What the Project Does:

The project focuses on optimizing logistics processes by streamlining the movement of goods from their
arrival at the seaport to their final destination. This involves the implementation of efficient workflows for
cargo handling, with the goal of minimizing delays and enhancing overall process efficiency.

To reduce loading and unloading times, the project introduces strategies and technologies aimed at
minimizing the time it takes to load and unload goods from ships and containers. This includes the
utilization of advanced technologies such as automated handling systems and optimized scheduling to
streamline these crucial processes.

Efforts to improve cargo handling efficiency are centered around enhancing the overall efficiency of
handling goods at every stage of the supply chain. Technologies such as IoT devices and real-time
tracking are implemented to provide increased visibility and coordination throughout the handling process.

In terms of safety and security, the project implements measures to ensure the well-being of goods during
transportation and storage. This involves the utilization of technologies like IoT for real-time monitoring,
guaranteeing compliance with safety standards, and implementing security protocols to safeguard the
entire supply chain. The project is committed to creating a secure and efficient logistics environment that
adheres to the highest safety standards and leverages cutting-edge technologies for optimal outcomes.

What the Project Doesn't Do:

The project steers clear of large-scale reconstruction efforts concerning the physical infrastructure at
seaports. Instead, its primary focus lies in the optimization of the existing infrastructure and processes,
emphasizing efficiency enhancements without necessitating a complete redesign of the entire port layout.

In terms of logistics processes, the project maintains a direct and targeted scope, excluding activities not
directly related to seaport operations. This intentional limitation ensures that the project's efforts remain
concentrated on enhancing efficiency, reducing processing times, and enhancing safety and security within
the specific context of seaport operations. Administrative tasks unrelated to the supply chain, therefore,
fall outside the project's purview, allowing it to maintain a sharp focus on its core objectives and the
improvement of seaport logistics.

2. Time

The specific timeline of the Seaport Logistics Supply Chain Management System project is crucial for
understanding its phases and milestones. However, the following is a generic breakdown, and actual
durations may vary based on project complexity, size, and unforeseen challenges.

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Phase Description Time Status

Project - Form a diverse team of experts with strong skills in 1 January 2024 to 9 Completed
Initiation logistics, technology, and project management. January2024
(9 days) Processing
Requirements - Clearly define goals, scope and identify important
Analysis and stakeholders and team. 11 January 2024 to Waiting
Planning 29 January 2024
- Propose and seek approval, present the benefits of the (19 days)
Basic project and ensure commitment to implementation.
Infrastructure 31 January 2024 to
Deployment - Develop an initial resource allocation plan to ensure the 25 March 2024
Phase team has the necessary tools and support. (26 days)

- At the same time, prepare for the launch by securing the
necessary approval and resources from the team.

Engineering and technology planning

- Conduct a detailed analysis of project requirements, detailed
and specific.

- Based on analysis, develop a detailed project plan with
factors such as time, resources, and comprehensive risk
assessment.

- This planning phase lays the foundation for a structured
implementation approach and prepares well for the
implementation of the Seaport Logistics Supply Chain
Management System.

- Technical Infrastructure Deployment: Building and
Integrating IoT Devices, Deploying Big Data System.

- User Interface Development

- Integrate hardware and software systems (Basic check)

- Start the development phase with programming and system
deployment.

- Perform seamless integration of IoT devices, big data
analytics, and other technology components.

- Implement regular testing and feedback loops to ensure

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Testing and strict quality control throughout the development process. 28 March 2024 to Waiting
Quality 26 April 2024 Waiting

Assurance - Enhance the reliability and functionality of the Seaport (1 months) Waiting
Logistics Supply Chain Management System.
Implementation 30 April 2024 to 22
and Training - The testing phase is characterized by thorough tests, May 2024
including functional, performance and security testing. (22 days)
Monitoring and
Optimization - Identified issues are resolved immediately, and the system 24 May 2025 to 27
undergoes a tuning process to meet strict quality assurance July 2024
standards. (1 month 3 days)

- This rigorous testing process ensures a robust and reliable
Seaport Logistics Supply Chain Management System.

- After a successful development and testing phase, the
system is deployed in a controlled environment.

- Organize comprehensive training sessions for end users and
administrators to ensure a smooth transition.

- Next, the system is gradually deployed to all users,
facilitating effective implementation and user adoption of the
Seaport Logistics Supply Chain Management System.

- Prioritize continuous monitoring of performance, security,
and user feedback after deployment.

- Implement timely updates and enhancements as needed to
maintain optimal functionality.

- Conduct periodic assessments and adjustments to ensure

continued success and rapid response to changing needs
within the Seaport Logistics Supply Chain Management
System.

Table 1: Time

3. Communication

In the Logistics Supply Chain Management System project, the communication management part plays an
important role in building an information bridge between stakeholders. Optimizing communication type
and frequency using modern technology such as email, video conferencing and internal information
systems helps increase transparency, speed and understanding among project members. Strong

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communication management not only reduces risk but also creates the foundation for strong collaboration,
synchronizes information and ensures every decision is made accurately and evenly.

Stakeholders in the Logistics Supply Chain Management System project may include:

 Project Management Board: Operate and manage the entire project.

 Development team and technicians: Build and deploy the system.

 Shipping experts and logisticians: Provide detailed information about the shipping process and
logisticians.

 End users: Employees involved in the transportation and storage process at seaports.

 Security experts: Protect information and ensure safety during transportation.

 Strategic decision maker: Decide on the overall strategy of the business.

 Technology partners: Partners providing technology and equipment.

All of these stakeholders play an important role in ensuring the success of the project.

Communication Purpose Frequency Audience Owner Tools for manager

Project Updates Provide overall Weekly Project Project Project
project progress, Manager Manager management
milestones, and software (e.g., Jira,
achievements. Trello)

Technical Briefings Communicate As needed Development Technical Lead Video Conferencing
technical details, Team, (e.g., Zoom),
challenges, and Technical Technical
solutions. Experts Documentation

Logistics Process Discuss and Monthly Logistics Logistics Collaboration
Reviews optimize logistics Experts, Manager Platforms (e.g.,
processes. Operations Microsoft Teams),
Team Process Flow
Diagrams

Security Briefings Share updates on Quarterly Security Security Secure
data security Experts, Officer Communication
measures and Project Channels, Security

potential risks. Manager Reports

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User Training Provide training for On-demand End-Users, Training Training Platforms
Sessions end-users on Trainers Manager (e.g., Learning
system operation. Management
Top Systems)
Strategic Decision Align project goals Bi-monthly Project Management
Meetings with overall Manager, Video
business strategy. Decision- Project Conferencing,
Issue Resolution makers Manager Strategic Planning
Meetings Address and Software
resolve project- As needed Project
related issues Manager, Collaboration
Relevant Platforms, Project
Stakeholders Management Tools

Table 2: Communication

4. Risks

The Seaport Logistics Supply Chain Management project faces diverse challenges, encompassing
technical complexities, security vulnerabilities, user adoption resistance, resource constraints, integration
difficulties, external events impact, and vendor reliability concerns.

Risk Risk Probability Impact Suggestion/Action
Category

Insufficient budget Medium High Conduct a thorough budget review and
Budget allocation identify areas for cost optimization. Clearly
communicate the budget constraints to
Budget Fluctuations in Low Medium stakeholders. Explore potential sources for
Resource currency exchange additional funding.
rates Low High
Monitor currency trends regularly and
Key team members consider hedging strategies. Include a
leaving the project currency fluctuation contingency in the
budget.

Implement knowledge transfer sessions and
cross-training. Develop a succession plan.
Regularly assess team satisfaction and
address concerns proactively.

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Resource Insufficient expertise in Medium High Invest in training programs for team
IoT technologies High members. Consider hiring external experts
Medium or consultants with IoT experience.
Schedule Unforeseen delays in Medium High Establish partnerships with IoT technology
technology integration High providers.
High
Schedule Dependence on third- High Medium Implement a detailed project plan with
party vendors for buffer times for potential delays. Regularly
technology components monitor progress and adjust timelines as
needed. Conduct thorough testing during

Project Changes in project Medium the development phase.
Scope scope mid-way
Identify backup vendors and establish clear
Project Incomplete Medium communication channels. Regularly assess
Scope the reliability of third-party vendors. Have
requirements gathering contingency plans for delays in vendor
deliveries.
Quality Insufficient testing Medium
leading to bugs Implement a robust change control process.
Clearly define and document the project
Quality Inadequate user Low scope from the outset. Regularly
communicate scope boundaries to
training and support stakeholders.

Conduct comprehensive requirements
analysis workshops. Involve all
stakeholders in requirement gathering.
Regularly review and update requirements
throughout the project.

Implement a rigorous testing phase,
including functional, performance, and
security testing. Establish clear testing
criteria and conduct thorough test cases.
Regularly update and enhance the testing
process.

Develop comprehensive user training
programs. Provide ongoing support
channels for users. Gather user feedback

and continuously improve training

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Technology Integration challenges Medium High materials.

with existing systems Engage technology experts in the planning
phase. Conduct pilot integrations before full
Technology Data security breaches Low High implementation. Establish clear
communication channels with existing
systems' providers.

Implement robust access control
mechanisms and encryption. Regularly
conduct security audits. Provide training to
users on data security best practices.

Table 3: Risks

5. Resources

In the realization of any project, the allocation and management of resources are pivotal to its success.
Resources, both human and technological, form the bedrock upon which project deliverables are
constructed and goals are achieved. This section provides a comprehensive outline of the resources
dedicated to the project, detailing the roles and responsibilities of our team members, as well as the tools
and technologies that will be utilized throughout the project lifecycle.

The human resources encompass a spectrum of professionals, each with a specialized skill set critical to

the project's advancement. From Project Managers to Data Scientists, and from Software Developers to
Logistics Experts, the team is structured to address all dimensions of project execution with proficiency
and dexterity. The availability of these professionals is a testament to our commitment to the project's
continuous progress and adherence to its timelines.

In concert with our human resources, we employ an array of tools that are indispensable in today’s data-
driven environment. These tools range from Logistics Supply Chain Management Software to Big Data
Analytics Software, Security Solutions, Development Tools, and Training Platforms. Each tool has been
carefully selected to serve specific functions that are essential to the project’s objectives, ensuring
efficiency, security, and innovation in our processes.

Human Resources Function Availability
Project Manager
Overseeing the entire project, setting goals, creating Full-time
timelines, and managing resources.

They ensure the project stays on track, aligns with
objectives, and is delivered within the specified timeframe
and budget.

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Data Scientists Analyzing big data sets to extract meaningful insights, Full-time
trends, and patterns.

They contribute to predictive analytics and help optimize
logistics processes based on data-driven decisions.

Software Developers Designing, coding, testing, and implementing software Full-time
components for the logistics management system.

They ensure the system's functionality, security, and
efficiency.

Logistics Experts Providing domain-specific knowledge in logistics and Full-time
supply chain management.

They contribute to defining system requirements, ensuring
alignment with industry best practices.

End-Users (Logistics Personnel) Using the system for day-to-day logistics operations, As needed
monitoring real-time data, and ensuring the efficient
movement of goods.

IT Support and Infrastructure Managing the IT infrastructure, ensuring the system's Full-time
Specialists availability, security, and performance.

Trainers Developing and delivering training programs for end- As needed
users to ensure effective system utilization.

Table 4: Human Resources

The human resources table lists key personnel involved in the project, along with their functions and
availability. The Project Manager is the cornerstone, responsible for steering the project towards its goals
full-time. Data Scientists and Software Developers, also available full-time, are tasked with extracting
insights from data and coding the logistics management system, respectively. Logistics Experts provide
the necessary industry-specific knowledge and contribute full-time. The End-Users (Logistics Personnel)
and Trainers, though crucial to the operational success and continuity of the project, are engaged as

needed, reflecting the project's dynamic resource allocation strategy.

Tools Resources Description Tools Purpose

Logistics Supply The Logistics Supply Chain  SAP Integrated Integration of logistics
Chain Management Management System Software Business Planning processes, real-time
System Software serves as the cornerstone, tracking, and user
orchestrating seamless integration  Oracle SCM Cloud

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of logistics processes. interface for monitoring.

Big Data Analytics Big Data Analytics Software,  Apache Hadoop Analyzing and extracting
Software whether in the form of open-  Apache Spark valuable insights from
source solutions like Apache diverse data sources,
Hadoop and Apache Spark or including location,
commercial analytics platforms, temperature, humidity,
plays a pivotal role in the project's and velocity data.
success.

Security Software Security Software serves as a  Antivirus software Ensuring the security and
crucial shield, employing robust  Firewalls integrity of data
tools like antivirus software, throughout the supply
firewalls, and encryption chain, safeguarding
solutions. against potential
vulnerabilities.

Development Tools Development Tools, exemplified  Visual Studio Code Coding, testing, and
by Integrated Development
Environments (IDEs) like Visual  Eclipse deploying the logistics
Studio Code and Eclipse, serve as management system.
the backbone for the project's
coding, testing, and deployment
processes.

Training Platforms Training Platforms, whether in the  Learning Providing training
form of Learning Management Management programs for end-users to
Systems (LMS) or customized Systems (LMS) operate and understand
training platforms, serve a pivotal the functionalities of the
role in ensuring a smooth new system.
transition for end-users.

Table 5: Tools Resources

The tools resources table showcases the software and platforms that will be employed in the project. The
Logistics Supply Chain Management System Software, like SAP Integrated Business Planning and Oracle
SCM Cloud, is vital for integrating logistics processes and tracking. Big Data Analytics Software,
represented by Apache Hadoop and Apache Spark, is selected for processing large datasets to derive
actionable insights. Security is addressed by antivirus software and firewalls, ensuring data integrity.
Development tools such as Visual Studio Code and Eclipse are the backbone for coding and testing.
Lastly, Learning Management Systems (LMS) provide a structured environment for training end-users,
facilitating a smooth transition to the new system.

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Each tool has been chosen not only for its individual capabilities but also for how it integrates with other
resources to meet the project's needs. The synergy between human expertise and technological tools
underscores the project's comprehensive approach to resource management.

6. Cost estimation

Cost estimation is a critical aspect of project planning, providing insights into the financial requirements
necessary for the successful execution of a project. In this context, we have meticulously evaluated both
human and tool costs associated with our project. The breakdown encompasses various roles contributing
to the project's success, as well as the essential tools required for efficient operations. Let's delve into a
detailed analysis of the human and tool costs to gain a comprehensive understanding of the financial
landscape.

Roles Number of Work hours Cost per hour Total
members 240 $100 $24,000
Project Manager 160 $120 $38,400
Data Scientists 1 480 $80 $38,400
Software Developers 2 220 $90 $19,800
Logistics Experts 5 120 $40 $48,000
End-Users (Logistics 2
Personnel) 240 $100 $24,000
IT Support and 10 120 $60 $7,200
Infrastructure Specialists
Trainers 2

2

Total $199,800

Table 6: Cost for Human

The human costs breakdown reveals a strategic allocation of resources across diverse roles. The Project
Manager, with a cost of $24,000, spearheads the project's direction, while Data Scientists and Software
Developers contribute specialized skills at $38,400 each. Logistics Experts, IT Support, and Trainers add
unique value, creating a balanced and efficient team. The hourly rates align with the roles' expertise,
ensuring fair compensation. Overall, the human costs of $199,800 reflect a judicious investment in a
skilled workforce crucial for project success.

The allocation of human costs demonstrates a thoughtful approach to resource distribution. The diverse
skill sets of Project Manager, Data Scientists, Software Developers, Logistics Experts, IT Support, and

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