AI Software Implementation Project Plan for Toyota Motors

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AI Summary
This project plan details the implementation of AI software within Toyota Motors Corporation, addressing the need for enhanced operational strategies. It outlines project objectives, organizational goals, and project scope, emphasizing the use of AI to streamline business processes and improve quality management. The plan covers project assumptions, roles and responsibilities, a timeline with a Gantt chart, risk management strategies, stakeholder management, and project funding. It also includes a PERT diagram analysis and potential drawbacks. The project aims to improve Toyota's operational efficiency and customer service by leveraging AI and machine learning. The project plan includes a detailed risk assessment, stakeholder analysis, and mitigation strategies, ensuring a comprehensive approach to successful AI software implementation.
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Implementation of AI Software in Toyota Motors Corporation
Name of Student
Name of University
Author Note
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Table of Contents
Introduction..........................................................................................................................2
1. Project Objectives............................................................................................................2
2. Organizations Objectives.................................................................................................3
3. Project Scope...................................................................................................................4
4. Project Assumptions........................................................................................................5
5. Project Roles and Responsibilities...................................................................................6
6. Timeline with Gantt chart................................................................................................7
7. Risk Management............................................................................................................8
8. Stakeholder Management..............................................................................................14
9. Project Funding..............................................................................................................15
10. PERT Diagram and Drawback of PERT.....................................................................16
10.1. Drawbacks of Applying PERT in Project.............................................................17
10.2. Recommendations.................................................................................................17
Conclusion.........................................................................................................................17
Bibliography......................................................................................................................19
Appendices........................................................................................................................21
Appendix 1: MS Project File.........................................................................................21
Appendix 2: PERT Chart...............................................................................................21
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Project Plan for Implementation of AI Software in Toyota Motors Corporation
Introduction
Artificial Intelligence (AI) software can be described as a computer program that is
capable of imitating human behavior by learning the data patterns and insights (Nilsson 2014).
There are several benefits of combining AI with machine learning. It provides the users with the
needed functionality of streamlining the complex business processes.
On analyzing the current business operations of Toyota Motors Corporation, its
operational strategy, issues in its supply chain management, it is recommended that big data
drive AI platform can be implemented in the Corporation to enhance the overall business
operations.
The goal of this plan is to provide an outline of the project process, tools and techniques
that can be used to implement AI software in Toyota Motors. It is assumed that the feasibility
study of the project has already been completed and the project has moved to its planning stage.
In the following paragraphs, a detailed discussion on the project objectives, organization
objectives, the scope of the entire project, the related assumptions and the time required for
completion of this project are discussed. Along with that, a detailed description of the risks,
stakeholders and the funding of the AI software project are provided in the succeeding
paragraphs.
1. Project Objectives
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The objectives that will be fulfilled by the completion of the AI implementation project in
Toyota Motors Corporation are indicated as follows-
To realize the need for implementation of AI in enhancing the operational strategy
of Toyota Motors Corporation (TMC)
To plan and execute the project of AI software implementation in TMC
To improve the quality management process by streamlining the business
operations of TMC by the implementation of AI software
To install and launch the AI software in Toyota Motors Corporation
To provide training to the staffs and employees with the working principle of the
new AI software to enhance the working process of Toyota Motors Corporation
and to reduce the operational inefficiency.
The completion of the above-identified objectives will indicate that the undertaken
project is successfully accomplished. The objectives of the undertaken project is linked with the
organizational objectives of Toyota Motors Corporation.
2. Organizations Objectives
The plan for implementation of new AI software is linked with the business objectives of
TMC. The company is committed to providing quality services to their clients with their
ceaseless innovation and passion for growth (Toyota Corporation 2020). The organization is
committed to providing quality services to its clients by continuously raising its standards for
consistency and satisfaction of the customer. In this pursuit, Toyota Motors Corporation aims to
improve their internal processes so that the product of high quality is delivered to its customers.
Certain operational and quality issues have been identified in Toyota Motors that reflects its
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operational strategy. Certain modifications are needed to be brought in the operational strategy to
fulfil the following organizational objectives of Toyota Motors Corporation –
To lead the future mobility society by enriching lives around the world
To provide the best quality services to the customers
To meet the challenging goals by engaging talented and passionate people to work
with them (Toyota Corporation 2020)
To accept the challenging goal of making use of the passion and talent of people
A project of implementation of AI software is proposed for Toyota Motors Corporation
as issues in their existing operational strategy that can affect the long term goals of the
organization. For enhancing the operational strategy, the use of AI software within the
organization is suggested and accordingly, a plan for the project is being prepared.
3. Project Scope
Development of the project plan is subjected to the correct identification of the project
scope. This step is needed to eliminate the chances of scope creep in a project (Moustafaev
2014). Scope of a project can be described as a well-defined boundary that encompasses the key
activities that are done for delivering a software product. The in-scope requirements for the AI
software implementation project are shown as follows-
1. To develop a working plan for AI software implementation in Toyota Motors
Corporation
2. To allocate resources for the efficacious accomplishment of the AI software project
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3. To estimate and calculate a realistic schedule for implementation of AI software in
Toyota Motors Corporation
4. To train the employees regarding the use of the new AI software
The plan developed for the AI software implementation project considers that above-
discussed scope, and there is the in-scope need of the project. The out scope project needs that
are not considered in the project plan are indicated as follows-
1. Maintenance of the system to be developed
2. Changes in the charter and the business case
3. Change in the baseline of the project
4. Change in the feasibility status
The above four points indicate the requirements that will not be fulfilled with the
completion of the project and hence it is out of the scope (Crawford 2014). The project plan for
AI software implementation project, therefore, excludes the fulfillment of the above
requirements.
4. Project Assumptions
The plan for the project is developed on the basis of certain key assumptions. Project
completion might be affected if these assumptions do not hold to be true. The critical
assumptions considered for implementation of AI software are indicated as follows-
1. It is assumed that the feasibility test of the AI software project has already been done
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2. It is assumed that the funding for this entire project has already been approved
3. It is a part of the assumption that the all the staffs and the employees of TMC, will
support the implementation of AI software to streamline the business process and they will
readily take the necessary training to operate the software
4. It is a part of the project assumptions that there will be no change in the baseline
(scope, cost and schedule), throughout the execution of the project.
The project plan for AI software implementation reflects the above four assumptions.
5. Project Roles and Responsibilities
Clear definition of the AI software project role and responsibilities is needed to ensure
that the entire project is executed in accordance to the developed plan (Adam and Danaparamita
2016). The entire project is subdivided in several smaller task and the responsibility of
fulfillment of each task is provided to certain specific individuals. The role and responsibility of
each of the tasks associated with the AI software implementation project is provided to certain
specific human resources, which are indicated in the following table-
Task Name Roles and Responsibility
Stakeholder Meeting Project Manager
Training of Power Users Technical Trainer
Installation of Hardware Technical Expert
Testing of hardware Technical Expert
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Certification and Approval Project Manager
Installation of Software-P1 Technical Expert
Installation of Software-P2 Technical Expert
Software Testing Technical Expert, Software Engineer
Software Configuration Technical Expert, Software Engineer
Cloud Setup Technical Expert, Software Engineer
Change Management exe.
Project Manager, Resource Manager, Project
Sponsor
SOP changes Company Executive
Going live in stages Project Manager, CEO
Post-mortem and Problem Solving Project Manager, Technical Expert
Table 1: Showing the Roles and Responsibilities of Each project task
The task name indicates the key tasks that are required to be completed for successful
execution of the AI software deployment project in Toyota Motors Corporation. The role and
responsibility column identifies the team member or the stakeholder, who is provided with the
responsibility of completion of that particular task within the allocated deadline (Harrison and
Lock 2017). The tasks are scheduled in such a way that no over-allocation of the resources can
be observed while the execution of the task.
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6. Timeline with Gantt chart
The project is assumed to start on Mon 20-01-20 and will end on Fri 20-11-20. The Gantt
chart below represents the detailed timeline and task sequence of AI software implementation
project in Toyota Motors Corporation.
Figure 1: Displaying the Gantt chart for AI software Implementation Project
[The tasks that are marked in red indicate the critical tasks]
Figure 1 indicates the detailed timeline for the AI project in Toyota Motors. The
predecessor column represents the sequence in which the project will be executed. The Gantt
chart indicates the critical path which is further evaluated in section 9.
7. Risk Management
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Every software implementation project is linked with a certain amount of risks and
uncertainties that are required to be allayed or managed (Bowers and Khorakian 2014). The
following risk table documents the key risks, their impact and their strategy of mitigation.
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Risk ID Risk Description Risk Owner Probability of
Occurrences (P)
[On a scale of 1
to 5]
Impact of the
Risk (I) [On a
scale of 1 to 5]
Risk Score
(P*I)
Risk
Mitigation
Strategy
R1 Schedule
Issue
Certain tasks
taking longer
than expected
leading to
Project Delays
Project
Manager
3 4 12 Schedule
planning by
allocation of
maximum
possible time
for each task
(Kliem and
Ludin 2019)
R2 Budget Risk Unforeseen
circumstances
leading to delay
in completion of
a particular task
Business
Analysts and
Project
Manager
2 4 8 Effective
Project
supervision to
reduce project
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leading to
budget overrun
(Cagliano,
Grimaldi and
Rafele 2015)
delays
R3 Technical
Issue
Compatibility
issues of the
software with
the existing
system
Technical
Expert
3 5 15 Appointment
of an
experienced
technical
expert in the
team
R4 Resource
Issue
Unavailability of
the critical
resources
Resource
Manager
2 4 8 Resource
allocation to
be done at
planning
phase
R5 Scope Creep Change in basic Project 4 4 16 Detailed
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project
requirements
Manager and
Resource
Manager
requirements
gathering
feasibility test
to be done at
the start of the
project
R6 Design Issues Incompatible
software design
Software
Engineer
2 5 10 An
experienced
software
engineer to be
appointed in
the team
R7 Employee
Resistance to
change
Employee
resistance in
training and
software launch
Business
Executive of
Toyota Motors
3 3 9 Employees
are needed to
be
communicated
with the
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benefits of the
AI system to
be
implemented.
Table 2: Showing the Key risk in AI Software Implementation Project in Toyota Motors Corporation
Probability
Impact
5
(Fatal)
4 (Major) 3 (Moderate) 2
(Minor)
1 (Unlikely)
5 (Fatal) R3 R6
4 (Major) R5 R1 R2, R4
3 (Lost Time) R7
2 (Minor)
1 (Trivial)
Table 3: Illustrating the Risk Register for AI Software Implementation Project
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The risk register indicates that the risk, R1, R3 and R5 are critical risks that are to be mitigated with high priority. Followed by
that, mitigation of Risk R6, R2, R4 and R7 is necessary. The mitigation approach of each risk is documented in table 2.
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8. Stakeholder Management
The process of stakeholder management involves keeping the project stakeholders
engaged with the AI software implementation project (Eskerod and Jepsen 2016). For that power
and interest of each of the associated stakeholders are identified. Apart from that, a
communication plan is to be prepared to ensure that communication among the stakeholders is
readily established.
Stakeholders Interest in the Project [On a
scale of 1 to 5]
Power/Influence in the
Project [On a scale of 1 to 5]
Project Manager 5 3
Resource Manager 4 3
Project Sponsor 4 5
Software Engineer 4 4
Technical Expert 3 4
Employees and Staffs 5 4
Software Consultant 3 3
Software Vendor 2 2
Table 4: Representing the Stakeholders
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Figure 2: Showing the Stakeholders’ Matrix
The stakeholders’ matric indicates that majority of the stakeholders are to be managed
closely.
9. Project Funding
The entire project is undertaken by Toyota Motors and therefore the funding for the
project is sought from Toyota Motors. The Toyota Motors is the owner as well as the sponsor for
this undertaken project. It is assumed that at this stage, the funding for implementation for AI
software is already approved by Toyota Motors Corporation.
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10. PERT Diagram and Drawback of PERT
The PERT diagram for AI software implementation project is indicated as follows-
Figure 3: Showing the PERT chart for the AI Software Implementation Project
(Source: Created by Author by making use of MS Project and MS Visio)
The critical or the shortest path for the execution of the project is highlighted in red.
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10.1. Drawbacks of Applying PERT in Project
The key limitations or disadvantages of using PERT in the project are indicated as
follows-
1. PERT is incapable of handling situations where two or more projects share an
available resource (Boushaala 2014).
2. PERT fails in accurate calculation of the shortest path when there is a variation in
precedence or in the successive relationship of the activities of the project.
3. PERT technique generally requires a lot of data as an input for generating an operative
plan for the AI software implementation project (Hazar 2014).
4. It is mainly a time focused approach and is a labor-intensive method as well.
10.2. Recommendations
The drawback of implementation of PERT in AI software implementation project in
Toyota Motors, can be limited by the following recommendations-
1. The situation of shared resources should not arise in this project
2. The number of tasks to be completed should be kept minimum to reduce labor.
Conclusion
The project plan for AI software implementation project in Toyota Motors documents the
key objectives of the project. The project objectives have a linear link with the objectives of
Toyota Motors Corporation. The Plan identifies the in-scope and out-scope project needs and
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documents a feasible project plan with Gantt chart. The risks in the project are identified, and the
stakeholders’ interest in the project are discussed in the report. The plan illustrated the PERT
diagram displaying the critical path and discusses the disadvantages of making use of the same in
the project.
The project plan prepared will impact the strategic objective of the organization in a
positive manner as it will ensure that the AI software is successfully implemented in Toyota
Motors Corporation. The implementation of the same will streamline the existing business
processes and enhance the operational efficiency of the organization. However, employees’
support is necessary for this project to realize maximum benefits.
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Bibliography
Adam, A.R. and Danaparamita, M., 2016, November. Understanding the influence of poor scope
management affecting the successful of an IT Project. In 2016 International Conference on
Information Management and Technology (ICIMTech) (pp. 124-129). IEEE.
Allen, M., Alleyne, D., Farmer, C., McRae, A. and Turner, C., 2014. A framework for project
success. Journal of Information Technology and Economic Development, 5(2), p.1.
Boushaala, A., 2014. An approach for project scheduling using PERT/CPM and Petri Nets (PNs)
Tools. Industrial engineering and operations management, 5(85), pp.939-947.
Bowers, J. and Khorakian, A., 2014. Integrating risk management in the innovation
project. European Journal of innovation management, 17(1), pp.25-40.
Cagliano, A.C., Grimaldi, S. and Rafele, C., 2015. Choosing project risk management
techniques. A theoretical framework. Journal of Risk Research, 18(2), pp.232-248.
Crawford, J.K., 2014. Project management maturity model. Auerbach Publications.
Ebert, C., 2014. Software product management. IEEE Software, 31(3), pp.21-24.
Eskerod, P. and Jepsen, A.L., 2016. Project stakeholder management. Routledge.
Gantt, H., 2015. Gantt chart.
Harrison, F. and Lock, D., 2017. Advanced project management: a structured approach.
Routledge.
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Hazar, H.H., 2014. Time management tools and techniques for project management. Socio-
economic research bulletin, (4), pp.57-62.
Kliem, R.L. and Ludin, I.S., 2019. Reducing project risk. Routledge.
Moustafaev, J., 2014. Project scope management: A practical guide to requirements for
engineering, product, construction, IT and enterprise projects. Auerbach Publications.
Muller, R., 2017. Project governance. Routledge.
Nicholas, J.M. and Steyn, H., 2017. Project management for engineering, business and
technology. Routledge.
Nilsson, N.J., 2014. Principles of artificial intelligence. Morgan Kaufmann.
Toyota Corporation. 2020. Toyota Global Vision | Vision & Philosophy | Company | Toyota
Motor Corporation Official Global Website. [online] Toyota Motor Corporation Official Global
Website. Available at: https://global.toyota/en/company/vision-and-philosophy/global-vision/
[Accessed 19 Jan. 2020].
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Appendices
Appendix 1: MS Project File
Appendix 2: PERT Chart
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