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Top Predictive Maintenance Companies in Singapore

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60 companies for Predictive Maintenance in Singapore

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AccuPredict Services Pte Ltd's Logo

AccuPredict Services Pte Ltd

Singapore

C

11-50 Employees

2021

Key takeaway

AccuPredict's Predictive Maintenance solution has demonstrated significant cost savings and enhanced production efficiency, resulting in a financial benefit of several million dollars. With over three decades of experience, AccuPredict invites you to leverage their expertise for operational excellence.

Reference

Core business

ACCUPREDICT | Machines Run Forever

Vision Elevator's Logo

Vision Elevator

Singapore

C

1-10 Employees

2010

Key takeaway

The company specializes in predictive maintenance for elevators and escalators through its Remote Monitoring and Diagnostics (RM&D) systems, which help reduce breakdowns and enhance availability. Their commitment to high-quality solutions and real-time analytics supports condition-based maintenance practices, ensuring optimal performance and safety.

Reference

Service

Condition Monitoring Solutions – Vision Elevator

POWER TECHNOLOGIES PRIVATE LIMITED's Logo

POWER TECHNOLOGIES PRIVATE LIMITED

Singapore

C

251-500 Employees

2013

Key takeaway

Power Technologies specializes in IoT monitoring solutions, offering expertise in predictive maintenance through thermal monitoring and other advanced technologies. Their focus on data-driven insights and innovative strategies helps clients enhance operational efficiency and proactively address potential issues.

Reference

Service

Smart Facilitiesmaintenance - IoT Monitoring & Integration Solutions Singapore | Power Technologies

SMART Facilities Maintenance We build, operate and manage bundled IOT solutions.

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Linkstuffs's Logo

Linkstuffs

Singapore, Singapore

C

11-50 Employees

2018

Key takeaway

Linkstuffs is a prominent provider of Predictive Maintenance IoT solutions in Singapore and Malaysia, having connected over 1000 machines for condition monitoring and failure prediction since 2018. Their mission focuses on leveraging advanced data analytics to enhance predictive maintenance, optimize resource allocation, and empower businesses with IoT-driven insights for improved productivity and real-time decision-making.

Reference

Core business

Linkstuffs

Predictive Maintenance Industry 4.0 Energy monitoring

DM Group Services's Logo

DM Group Services

Singapore

C

51-100 Employees

1974

Key takeaway

DM Group Services specializes in underwater inspection, repair, and maintenance services, offering tailored solutions that could be integral for predictive maintenance strategies in marine operations. Their use of cutting-edge technologies and compliance with international best practices ensures reliable and efficient maintenance for various vessels.

Reference

Service

maintenance | DM Group Services

JD Works Pte Ltd's Logo

JD Works Pte Ltd

Singapore

C

1-10 Employees

2016

Key takeaway

JD Works PTE LTD focuses on providing quality maintenance services that can help reduce unexpected downtime in the industry, which is essential for effective predictive maintenance. Their offerings include on-site and workshop maintenance, system vibration analysis, and failure analysis, all of which are integral to anticipating and addressing potential equipment failures.

Reference

Product

Motor Maintenance | JD WORKS PTE LTD

Repairs and Spares's Logo

Repairs and Spares

Singapore

C

1-10 Employees

2006

Key takeaway

The company emphasizes its extensive knowledge and experience in providing solutions for various equipment, which could be beneficial for predictive maintenance needs. They position themselves as a reliable partner for after-sales and repair services, indicating their capability to support mission-critical systems.

Reference

Service

Technical Partner – Repairs And Spares

IX Technology Pte Ltd's Logo

IX Technology Pte Ltd

Singapore

C

51-100 Employees

2004

Key takeaway

The company emphasizes its expertise in predictive maintenance for mission-critical facilities like data centers, highlighting a proactive approach with the mantra "We Predict even before We Prevent." This forward-thinking strategy ensures optimal uptime and sustainable business continuity for clients.

Reference

Core business

IX Technology – Critical M&E Infrastructure Solution for Data Centre

A-Speed Infotech Pte Ltd's Logo

A-Speed Infotech Pte Ltd

Singapore

C

11-50 Employees

2003

Key takeaway

A-Speed Infotech Pte. Ltd. emphasizes its role as a proactive provider of ICT and Industrial Integration solutions, focusing on using the latest technology to enhance productivity and deliver value to businesses. Their expertise in Data Centre Infrastructure Management (DCIM) and tailored engineering solutions suggests a strong foundation for implementing effective predictive maintenance strategies.

Reference

Service

Critical Response & Maintenance - A-Speed Infotech Pte. Ltd.

CM Werkz's Logo

CM Werkz

Singapore

C

1-10 Employees

2010

Key takeaway

CM Werkz specializes in Condition Monitoring (CM) services and products for the electrical industry, offering solutions that help extend the lifespan of electrical plants and equipment. Their range of products includes advanced monitoring instruments that provide insights into the condition and deterioration of assets.

Reference

Core business

CM Werkz – Condition Monitoring Works


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Products and services for Predictive Maintenance

A selection of suitable products and services provided by verified companies according to your search.

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Use cases around Predictive Maintenance

A selection of suitable use cases for products or services provided by verified companies according to your search.

UseCase: Continuous monitoring

Use case

Continuous monitoring

Airport, Logistics

The challenge: A leading provider of ground services and cargo handling wanted to offer comprehensive solutions to the aviation industry. To drive innovation in key areas such as service, quality and reliability, the company wanted to improve visibility and communication through integration and networking across departments. Monitoring irregularities in process flows was critical to optimizing ground handling services. Working with multiple service providers and their disparate IT systems, which varied between airports and internal departments, was a challenge, while maintaining uninterrupted operations throughout the project. The solution: This multi-stage project used edpem, a process event monitoring tool, as the primary solution for monitoring ground services. To ensure fast aircraft turnaround times, the critical path in the process flow needed to be measured and monitored, especially when processes were transferred between suppliers. edpem recorded multiple events, including parking, disembarking completion, cleaning, catering, fuelling, crew boarding and loading completion. Service Level Agreements (SLAs) were tracked and monitored, and causes of delays identified and improved. Ground handling services were optimized by assessing service duration and process flow irregularities. In addition to monitoring traditional EDI processes, visualized reports improved reporting efficiency and facilitated faster decision-making. Key results included reduced turnaround times and fewer disruptions to flight operations. Our client: A major European airport provides ground services to approximately 265 million passengers annually and manages 4.6 million tonnes of global air cargo. Several warehouses are IATA CEIV certified for pharmaceutical logistics. In 2019, its 64,000 employees operated at 300 airports in 47 countries on six continents.

UseCase: Real-Time-Monitoring

Use case

Real-Time-Monitoring

Logistics

The challenge: The pharmaceutical company works closely with logistics service providers. Due to the volatile nature of the sector's order book, it was difficult to accurately predict capacity utilization, leading to recurring problems with service providers during collection. Service providers need timely information on freight volumes, collection details and the appropriate mode of transport. A key challenge was the sharing of real-time transport data. Another key concern was tracking and tracing, which proved difficult due to incomplete integration of certain areas of the warehouse management system. In addition, real-time monitoring of internal and external departments and service providers was required to optimize logistics processes. The solution: edpem was implemented as an end-to-end monitoring solution to improve logistics processes. The monitoring covered the entire delivery process, from SAP order documents and invoices to final delivery. Connection and monitoring of the warehouse management system was also part of the scope. Comprehensive tracking of goods throughout the supply chain enabled quick retrieval of information without involving other departments, saving valuable time and resources. Optimal vehicle selection for parcel collection and product tracking by batch were achieved. Internal IT system security was ensured, as external partners could only access edpem without needing permissions for internal applications. Parcel scanning enabled customer order tracking and tracing, early problem identification and real-time notification of process owners. edpem tracked the entire shipping process from packaging to customer delivery. The automation of electronic data interchange (EDI) provided new opportunities for superior service and quality for customers and logistics providers. Our customer: A pharmaceutical company based in Germany provides "Made in Germany" products to patients worldwide, with almost all products manufactured at its headquarters in Baden-Baden and distributed through an extensive network. Its main focus is on the research and production of medicines based on natural ingredients. The company has achieved global growth and operates in 50 countries.

UseCase: Continuous monitoring

Use case

Continuous monitoring

Airport, Logistics

The challenge: A leading provider of ground services and cargo handling wanted to offer comprehensive solutions to the aviation industry. To drive innovation in key areas such as service, quality and reliability, the company wanted to improve visibility and communication through integration and networking across departments. Monitoring irregularities in process flows was critical to optimizing ground handling services. Working with multiple service providers and their disparate IT systems, which varied between airports and internal departments, was a challenge, while maintaining uninterrupted operations throughout the project. The solution: This multi-stage project used edpem, a process event monitoring tool, as the primary solution for monitoring ground services. To ensure fast aircraft turnaround times, the critical path in the process flow needed to be measured and monitored, especially when processes were transferred between suppliers. edpem recorded multiple events, including parking, disembarking completion, cleaning, catering, fuelling, crew boarding and loading completion. Service Level Agreements (SLAs) were tracked and monitored, and causes of delays identified and improved. Ground handling services were optimized by assessing service duration and process flow irregularities. In addition to monitoring traditional EDI processes, visualized reports improved reporting efficiency and facilitated faster decision-making. Key results included reduced turnaround times and fewer disruptions to flight operations. Our client: A major European airport provides ground services to approximately 265 million passengers annually and manages 4.6 million tonnes of global air cargo. Several warehouses are IATA CEIV certified for pharmaceutical logistics. In 2019, its 64,000 employees operated at 300 airports in 47 countries on six continents.

Information about Predictive Maintenance in Singapore

When exploring the predictive maintenance industry in Singapore, several key factors warrant attention. The country is known for its strong regulatory framework, which emphasizes safety and efficiency in industrial operations. Understanding compliance with local regulations is crucial, as non-compliance can lead to significant penalties. Additionally, the competitive landscape is robust, with both local startups and established multinational companies vying for market share. This creates a dynamic environment, but also presents challenges such as the need for continuous innovation and differentiation. Opportunities abound in sectors like manufacturing, transportation, and utilities, driven by Singapore's push towards digital transformation and smart technologies. Companies that can leverage IoT and big data analytics will find a receptive market. However, environmental considerations are increasingly important, as industries face pressure to adopt sustainable practices. This trend aligns with Singapore's green initiatives and commitment to reducing carbon emissions. Furthermore, tapping into the global market relevance of predictive maintenance can provide insights into best practices and technological advancements. This sector is projected to grow significantly, driven by the need for operational efficiency and cost reduction. Potential investors and stakeholders should closely monitor industry trends, emerging technologies, and partnerships that can enhance competitive advantage in this evolving field.


Insights about the Predictive Maintenance results above

Some interesting numbers and facts about your company results for Predictive Maintenance

Country with most fitting companiesSingapore
Amount of fitting manufacturers51
Amount of suitable service providers58
Average amount of employees11-50
Oldest suiting company1974
Youngest suiting company2021

Frequently asked questions (FAQ) about Predictive Maintenance Companies

Some interesting questions that has been asked about the results you have just received for Predictive Maintenance

Based on our calculations related technologies to Predictive Maintenance are Big Data, E-Health, Retail Tech, Artificial Intelligence & Machine Learning, E-Commerce

Start-Ups who are working in Predictive Maintenance are AccuPredict Services Pte Ltd

The most represented industries which are working in Predictive Maintenance are IT, Software and Services, Oil, Energy and Gas, Automation, Electronics and Electrical engineering, Manufacturing

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Predictive Maintenance results by various countries

Related categories of Predictive Maintenance