What is Cloud Manufacturing?

AUTHOR: MUHAMMAD ADLI HAMIZAN BIN SHAMSIR

LECTURER: DR. MOHAMAD BIN MINHAT

QUIZ 1 FOR BMIG 4123 CLOUD MANUFACTURING 

SEMESTER 1 SESSION 2025/2026

Table Of Contents

• 1.0 What is Cloud Manufacturing?
• 2.0 Basic Concepts and Types of Cloud Manufacturing
• 3.0 Main Features of Cloud Computing And Cloud Manufacturing
• 4.0 Advantages of Cloud Manufacturing
• 5.0 Disadvantages and Challenges of Cloud Manufacturing
• 6.0 Cloud Manufacturing Applications in Industry
• 7.0 The Future of Cloud Manufacturing
• 8.0 Conclusion
• 9.0 Reference
• 10.0 Quiz 2

1.0 What is Cloud Manufacturing?

Figure 1: cloud manufacturing platform

What is cloud manufacturing? This may be the first time you’ve heard of it, but it has nothing to do with cloud seeding in the sky. For your information, Cloud Manufacturing (CMfg) is a modern approach in the manufacturing sector that combines cloud technology (cloud computing) with industrial operations to improve business efficiency, flexibility, and competitiveness. This concept emerged in line with the development of the Industrial Revolution 4.0, which emphasises digitalisation, automation, and integration of intelligent systems in the production process. Cloud manufacturing allows manufacturing resources such as machines, software, equipment, and expertise to be transformed into digital services that can be accessed via the internet. Thus, companies can share resources, reduce operating costs, and speed up the production process.

Cloud Manufacturing is derived from two words: Cloud and Manufacturing. The word "cloud" is derived from the term "cloud computing." According to the International Standards Organisation (ISO), it can be defined as a paradigm for enabling network access to a scalable and resilient collection of physical or virtual resources with self-service provisioning and administration on demand. Manufacturing is defined as the creation of new products, whether from raw materials or components. So, from the combination of these two words, Cloud Manufacturing can be defined as a service-oriented, intelligent manufacturing model that leverages cloud computing and other technologies like the Internet of Things (IoT) to provide on-demand manufacturing resources and services over a network. In short, it allows manufacturers, designers, and customers to access and use manufacturing resources online, similar to how we use cloud storage or cloud software, for example, applications like AutoCAD.

Basically, cloud manufacturing uses technologies such as the Internet of Things (IoT), big data, artificial intelligence (AI), and virtualisation to ensure that every element in the production chain can communicate and operate more effectively. Through this model, businesses no longer need to own all their own physical assets because they can rent or use virtual production resources based on current needs. This change not only increases the competitiveness of the industry but also opens up opportunities for small and medium-sized enterprises (SMEs) to compete in the global market.

2.0 Basic Concepts and Types of Cloud Manufacturing

There are various cloud manufacturing services, which can be divided into several categories depending on how they are used and managed. These are some of the main types of CMfg found in the industry:

2.1 Public Cloud Manufacturing

Figure 2: Public cloud

This is a public platform where manufacturing resources can be used by anyone who is registered. It is suitable for companies that do not have large production capacity and want to reduce initial investment costs. Public cloud manufacturing allows access to machines, simulation software, product designs, and more online.

2.2 Private Cloud Manufacturing

Figure 3: Private cloud

Private cloud manufacturing is specifically for an organisation. It provides advantages in terms of data security, system control, and better internal integration. This type is used by large companies that want to ensure their information and operations are in a controlled environment.

2.3 Hybrid Cloud Manufacturing

Figure 4: Hybrid cloud

A hybrid cloud is a combination of public and private clouds. It provides a balance between flexibility and security, where companies can protect sensitive information in a private cloud, and other, less critical processes can use the public cloud to save costs.

2.4 Community Cloud Manufacturing

Figure 5: Community cloud

This type has the characteristics of collaboration among organisations that have common objectives. For example, the automotive or aerospace industries can share manufacturing infrastructure to accelerate innovation and lower development costs.

3.0 Main Features of Cloud Computing And Cloud Manufacturing

3.1. Cloud Computing 

Cloud computing delivers computing services over the internet on a pay-as-you-go basis, primarily categorised into three models: IaaS (Infrastructure as a Service), PaaS (Platform as a Service), and SaaS (Software as a Service). Together, they form a layered stack of services that offer different levels of abstraction, control, and management.

Figure 6: Types of cloud computing

3.1.1. Infrastructure as a Service (IaaS)

IaaS is the most fundamental layer, providing basic building blocks for cloud IT as a service. It offers virtualised computing resources over the internet, including virtual servers, network infrastructure, and storage. With IaaS, users rent IT infrastructure instead of buying and maintaining their own physical data centres, gaining high control over their operating systems and applications. The cloud provider manages the underlying hardware. A common example is a company renting a virtual machine to host its website; the company is responsible for managing the OS, storage, and applications, while the provider maintains the physical servers and hypervisors. Prominent IaaS examples include Amazon Web Services (AWS) EC2, Google Compute Engine, and Microsoft Azure Virtual Machines.

3.1.2. Platform as a Service (PaaS)

PaaS sits atop IaaS and provides a cloud-based platform as a service for developers to build, run, and manage applications without the complexity of maintaining the underlying infrastructure. It delivers a framework that includes operating systems, programming language execution environments, databases, and web servers. This allows developers to focus solely on coding and deploying their software without worrying about software updates, patching, or hardware scaling. The cloud provider manages the runtime, middleware, and operating system. This model significantly speeds up application development. Examples of PaaS are Google App Engine, Microsoft Azure App Services, and Heroku.

3.1.3. Software as a Service (SaaS)

SaaS is the top layer, delivering fully functional software as a service directly to end-users over the internet, typically through a web browser. The application, along with all its infrastructure, platform, and data, is entirely hosted and managed by the service provider. Users do not need to install, maintain, or manage any aspect of the software; they simply access and use it via a subscription. This model removes all technical burdens from the user, making it the most straightforward cloud service to adopt. Common examples of SaaS include Google Workspace (Gmail, Google Docs), Microsoft 365, Salesforce, and Dropbox.

3.2. Cloud Manufacturing

Figure 7: Community

Cloud Manufacturing is a service-oriented paradigm that applies the core principles of cloud computing to the manufacturing industry. It involves the centralised management and on-demand provision of manufacturing resources and capabilities over the internet. This model transforms traditional, fixed production systems into a flexible, scalable, and collaborative ecosystem. The key characteristics of Cloud Manufacturing are as follows:

3.2.1. Resource Sharing and Integration

A fundamental feature of Cloud Manufacturing is the pooling and integration of both physical and virtual resources. Physical assets, such as machinery, robots, and assembly lines, are connected with virtual resources, including design software, simulation tools, and production data. This integration creates a shared resource pool that can be intelligently managed and allocated to various tasks, leading to optimised utilisation and reduced idle time for expensive equipment.

3.2.2. On-Demand Self-Service

Users can utilise manufacturing services as needed, much as they would use cloud computing power. Customers can request and use specialised services, such as 3D printing, CNC machining, or sophisticated assembly, via a web interface, without requiring direct human intervention from the provider. This pay-per-use model avoids the need for major capital investments while providing enterprises with flexible access to high-end production capabilities.

3.2.3. Scalability and Elasticity

Cloud Manufacturing platforms provide remarkable scalability. Computational and manufacturing resources can be easily increased or decreased to suit project requirements. This is especially beneficial for data-heavy tasks like digital twins and production simulations, where substantial processing power can be temporarily assigned without any physical alterations to the factory, thereby saving raw materials and energy.

3.2.4. Enhanced Collaboration and Accessibility

The cloud platform functions as a centralised hub that overcomes geographical and time zone barriers. Various companies, departments, and suppliers can collaborate instantly on the same project, exchanging designs, production information, and feedback smoothly. This promotes a more cohesive supply chain and speeds up innovation processes.

Essentially, Cloud Manufacturing applies cloud computing principles to turn traditional, inflexible manufacturing into a more adaptable, efficient, and smart service-based approach. By virtualising and centralising manufacturing resources, it forms the foundation of Industry 4.0, supporting a more responsive, sustainable, and interconnected industrial environment.

4.0 Advantages of Cloud Manufacturing

Cloud manufacturing transforms traditional production by offering manufacturing capabilities as on-demand services over the internet. This model provides significant strategic advantages, which can be categorised into financial, operational, and collaborative benefits.

4.1 Financial Advantages

Figure 8: Reduce costs

4.1.1 Reduction of Capital and Operating Costs (CapEx to OpEx)

Cloud manufacturing eliminates the need for large upfront investments in expensive machinery, hardware, and software licenses. Instead, companies adopt a pay-per-use model, converting capital expenditure (CapEx) into a more manageable operational expenditure (OpEx). This significantly reduces financial risk, lowers maintenance costs, and frees up capital for other strategic business areas like R&D and marketing.

4.1.2 Lower Total Cost of Ownership (TCO)

Beyond just usage fees, the total cost of ownership is reduced. Companies avoid costs related to hardware maintenance, software updates, IT security, and the specialised personnel required to manage on-premise systems. The cloud provider bears these burdens, leading to a more predictable and often lower TCO.

4.2 Operational and Strategic Advantages

Figure 9: Supply chain

4.2.1 Enhanced Flexibility and Scalability

Businesses can instantly scale production capacity up or down based on real-time market demand. This agility allows companies to respond quickly to seasonal fluctuations, new orders, or changing customer preferences without being constrained by physical infrastructure limits. This ensures high efficiency and prevents both underutilization and overcapacity.

4.2.2 Accelerated Innovation and Access to Cutting-Edge Technology

Companies gain immediate access to state-of-the-art software (like advanced CAD/CAM, simulation, and AI tools) and production technologies without the need for continuous capital investment. Since the cloud provider is responsible for all system updates and upgrades, manufacturers always have access to the latest features, ensuring they remain competitive and can innovate faster.

4.2.3 Improved Supply Chain Visibility and Optimisation

By leveraging real-time data analytics across the cloud platform, companies can achieve unprecedented visibility into their entire supply chain. This enables more efficient planning of inventory, production schedules, and distribution routes. Predictive analytics can forecast disruptions and automate replenishment, preventing problems before they occur and minimising waste.

4.3 Collaborative and Quality Advantages

Figure 10: Quality control

4.3.1 Seamless Global Collaboration

Cloud manufacturing platforms break down geographical barriers. Experts, designers, and engineers from around the world can collaborate on the same project in real-time, sharing data and making concurrent design changes. This not only shortens product development cycles but also pools global expertise, leading to higher-quality outcomes.

4.3.2 Increased Focus on Core Competencies

By outsourcing the management of manufacturing IT infrastructure to the cloud provider, companies can redirect their internal resources and expertise towards their core business activities, such as product design, marketing, and customer relationship management. This strategic focus can become a significant source of competitive advantage.

5.0 Disadvantages and Challenges of Cloud Manufacturing

Although cloud manufacturing provides many benefits, we cannot deny that there are also several constraints that need to be considered. These include:

5.1 Cyber ​​Security Risks

Figure 11: Cybersecurity

Data stored in the cloud is exposed to cyber threats such as hacking, identity theft, and malware attacks. This requires a strong security system, which may be quite costly.

5.2 Dependence on the Internet

Figure 12: Internet lagging

Cloud manufacturing requires a high-speed and stable internet connection. If there is any internet disruption, this will affect the production operations being carried out.

5.3 System Compatibility Issues

As we know, not all legacy machines are compatible with the current cloud system. This makes us need to do integration, which may require expensive modifications.

5.4 Physical Control Constraints

Because many manufacturing assets are provided by external parties, companies may lose some control over the production process being carried out.

6.0 Cloud Manufacturing Applications in Industry

Cloud manufacturing has been widely used in various sectors such as automotive, electronics, medical, and consumer product manufacturing. Here I will explain a little about each part:

6.1 Automotive Industry

Figure 13: car manufacturing

From the automotive sector, manufacturers can share various data via the cloud, including design data, run simulations, and order components via the cloud to speed up manufacturing, for example, car manufacturing.

6.2 Electronics Industry

Figure 14: Electronic board installation

In the electronics sector, manufacturers of electronic devices can use the cloud for testing their product prototypes, mass production, and supply chain management so that their products can be widely available.

6.3 Health and Medical Industry

Figure 15: synthetic bone manufacturing

In the health and medical sector, manufacturing prosthetics, implants, and medical equipment is more efficient with the use of design data and cloud-based 3D printing machines. This further speeds up the medical process time for patients.

7.0 The Future Of Cloud Manufacturing

Cloud manufacturing represents a fundamental paradigm shift, ushering in a new era of intelligent, interconnected, service-oriented production. At its core, it is the extension of the "as-a-service" model from cloud computing to the real world of manufacturing. This concept converts all aspects of manufacturing, including physical equipment and robotics, design software, and operational data, into scalable, on-demand services managed and provided via a centralised cloud platform.

This platform acts as the intelligent brain of the entire operation, powered by a synergistic convergence of advanced technologies. Artificial Intelligence (AI) and big data analytics process vast amounts of information to optimise every decision, while the Internet of Things (IoT) and edge computing provide a real-time stream of data from the factory floor. This is further enhanced by digital twins, which create virtual replicas of physical assets for simulation and monitoring, and autonomous robotics that execute tasks with precision.

The practical outcomes of this integration are transformative. The entire manufacturing process becomes intelligently automated, enabling the system to perform feats like selecting the most efficient machine from a global pool, predicting equipment failures before they occur to minimise downtime, dynamically reorganising production schedules in real time, and drastically reducing material and energy waste. This not only accelerates product delivery to market but also establishes a new benchmark for operational efficiency.

Furthermore, this model fundamentally reshapes the industrial landscape by enabling seamless cross-country and cross-organisational collaboration, unhindered by geographical constraints. It democratizes access to advanced manufacturing capabilities, allowing even small businesses to compete on a global scale by accessing high-tech machinery and expertise on a flexible "pay-as-you-use" basis, without the burden of massive capital investment. This fosters a more equitable, inclusive, and dynamic global manufacturing ecosystem.

End-customers also stand to gain significantly, as this system facilitates the mass customisation of products. Consumers can obtain completely tailored items that meet their specific demands, often at a lower cost and with faster turnaround times than traditional mass-production methods allow.

Concurrently, cloud manufacturing is a powerful engine for sustainability. By optimising production routes, increasing machine utilisation rates, and minimising waste, it significantly enhances the energy and material efficiency of the industry. The system can intelligently select the greenest available production pathways, contributing to the long-term environmental and economic sustainability of the entire industrial ecosystem.

Finally, the ascent of cloud manufacturing is catalysing an evolution in the workforce. It is creating demand for a new generation of workers who must master digital skills such as data analytics, virtual simulation, robot integration, cloud platform management, and digital design. This transformation is turning the manufacturing industry into a field that is not only more modern, responsive, and efficient but also decidedly more technologically sophisticated and future-oriented.

8.0 Conclusion

Cloud manufacturing has proven itself to be an important component in the development of Industrial Revolution 4.0. Through the integration of cloud technology, artificial intelligence, and IoT, this concept is changing the way organisations produce products and manage supply chains. Although challenges such as data security, integration issues, and dependence on the internet exist, the benefits are far more significant. With the implementation of a strong cybersecurity strategy, employee training, and the selection of a reputable cloud provider, these risks can be minimised.

Overall, cloud manufacturing not only helps reduce costs and increase operational flexibility but also accelerates the innovation process. This model has great potential to increase the competitiveness of companies in the global market and support the development of small and medium-sized businesses in the modern manufacturing industry.

9.0 Reference

4 jenis storan awan ('Cloud storage’) Yang Anda Perlu tahu. UBC. (n.d.). https://ubc.unifi.com.my/ms/articles/4-jenis-storan-awan-cloud-storage-yang-anda-perlu-tahu

SEM 1 - 2025/2026 - eet. Log in to the site. (n.d.). https://ulearn-2.utem.edu.my/sem1202526_eet/course/view.php?id=8428

Tsabit, A. (2025, November 12). Cloud manufacturing: Pengertian, Manfaat Dan Fiturnya. Review ERP. https://review-erp.com/cloud-manufacturing/#toc-section-0

Wikimedia Foundation. (2025, October 6). Cloud manufacturing. Wikipedia. https://en.wikipedia.org/wiki/Cloud_manufacturing

10.0 Quiz 2