MES Integration with IoT

I’ve had a number of “chicken or egg” / what comes 1st conversations around MES/MOM and the IOT devices/platform.

Each time, when pressed to choose between one or other as to which is more essential for leading manufacturing operations, the MES/MOM wins out. Nevertheless, it’s abundantly clear that together, it’s the perfect marriage, the perfect team.

Let’s talk: 1+1 = 3 and the integration.

The Definition of MES Integration with IoT

An MES Integration with IoT refers to the seamless incorporation of Manufacturing Execution Systems (MES & MOM Manufacturing Operations Management) with the Internet of Things (IoT) technologies in an industrial setting.

It involves connecting and integrating various devices, sensors, machines, and systems within your manufacturing environment to collect real-time data and enable effective control and optimization of production processes.

MES/MOM, as a software-based solution, is designed to manage and control manufacturing operations on the shop floor.

·??????It helps to bridge the gap between your enterprise resource planning (ERP) systems and the actual execution of production activities.

·??????MES provides functionalities such as resource allocation, production scheduling, quality management, inventory tracking, and performance monitoring.

On the other hand, IoT refers to a network of physical devices embedded with sensors, software, and connectivity that allows them to collect and exchange data.

These devices can range from simple sensors to complex machinery and equipment. IoT enables these devices to communicate and interact with each other and with centralized systems, resulting in enhanced automation, data-driven decision-making, and improved operational efficiency.

When MES/MOM and IoT are integrated, it creates a synergistic environment where real-time data from IoT devices can be seamlessly integrated into the MES platform. This integration allows you to more accurately and quickly derive data-driven insights, enabling manufacturers to optimize production processes, improve quality control, reduce downtime, and enhance overall operational efficiency.

1.????In MES/MOM integration with IoT, data from IoT devices such as sensors, RFID tags, and smart machines are collected in real-time and transmitted to the MES system.

2.????The MES system then processes and analyzes the data, providing actionable insights and facilitating decision-making at various levels of the organization.

3.????This integration helps you gain a comprehensive view of your production processes, track and trace materials and products, monitor equipment performance, and implement predictive maintenance strategies.

Overall, MES integration with IoT empowers your shop floor engineers and factories to leverage the power of real-time data, automation, and connectivity to achieve operational excellence, optimize resource utilization, and drive continuous improvement in their operations.

It represents a significant step towards the realization of the Industry 4.0 vision, where intelligent, interconnected systems revolutionize the way products are manufactured, monitored, and controlled.

1. The Importance of MES/MOM Integration with IoT

Here are some main reasons why MES integration with IoT is crucial:

Real-time Data Acquisition and Monitoring:

MES integration with IoT enables the collection of real-time data from IoT devices and sensors deployed throughout your manufacturing process. This real-time data provides visibility into production operations, allowing you to monitor KPIs, track production status, and identify issues as they occur.

Real-time data acquisition helps in making prompt decisions, optimizing processes, and improving overall operational efficiency.

Enhanced Visibility and Traceability:

By integrating IoT devices with MES/MOM, you can achieve enhanced visibility and traceability across your entire production processes.

IoT sensors and devices can track and trace materials, components, and finished products throughout the supply chain. This enables you to identify bottlenecks, optimize workflows, improve inventory management, and ensure compliance with quality and regulatory standards.

Enhanced visibility and traceability lead to improved product quality, reduced waste, and increased customer satisfaction.

Predictive Maintenance and Optimization:

IoT integration with MES allows for predictive maintenance strategies based on real-time equipment data.

IoT sensors can monitor machine conditions, detect anomalies, and predict potential failures or maintenance needs. By leveraging this data, you can:

• schedule maintenance activities proactively,
• reduce unplanned downtime,
• optimize equipment performance, and
• minimize the risk of costly breakdowns.

Predictive maintenance leads to increased operational efficiency, improved equipment reliability, and reduced maintenance costs.

Automation and Efficiency:

MES integration with IoT enables automation of various processes. IoT devices and sensors can automate data collection, equipment control, and inventory management, eliminating the need for manual interventions and reducing human errors.

Automation improves process efficiency, reduces cycle times, and increases throughput. It also frees up your resources to focus on value-added tasks, innovation, and problem-solving.

Data-driven Decision-making:

MES integration with IoT provides a wealth of real-time data that can be leveraged for data-driven decision-making.

By analyzing the collected data, you can gain valuable insights into process performance, identify patterns, and make informed decisions to optimize operations, improve product quality, and meet customer demands effectively.

Data-driven decision-making helps you stay competitive, agile, and responsive in a rapidly changing market environment.

Scalability and Flexibility:

IoT integration with MES offers scalability and flexibility to adapt to evolving manufacturing requirements. As your landscape evolves, you can easily integrate new IoT devices and sensors into the existing MES infrastructure. This scalability and flexibility allows you to leverage emerging technologies, accommodate changing production needs, and stay ahead in a dynamic industry.

By harnessing the power of IoT in conjunction with MES, you can transform your operations, drive innovation, and achieve competitive advantages in today's digital manufacturing landscape.?

2. Understanding MES/MOM and IoT

A. Explanation of MES (Manufacturing Execution & Operational Systems)

1. The Role of MES in manufacturing processes

The role of Manufacturing Execution Systems (MES) in manufacturing processes is pivotal, as it serves as a critical bridge between the strategic planning and execution stages of production. For me, it’s THE Digital Transformation hub. All things?across your enterprise and ecosystem direct toward it.

MES plays a multifaceted role in ensuring the smooth operation and optimization of manufacturing activities.

Here are some key components that highlight the importance of MES/MOM in manufacturing processes:

Production Planning and Scheduling:

MES acts as a central hub for production planning and scheduling activities. It takes inputs from higher-level systems such as Enterprise Resource Planning (ERP) and Supply Chain Management (SCM) and translates them into detailed production plans.

MES considers factors like resource availability, machine capacities, and order priorities to generate optimized production schedules. It helps allocate resources efficiently, balance workloads, and ensure on-time delivery of products.

Shop Floor Control:

MES provides real-time visibility and control over shop floor activities. It enables operators and supervisors to monitor the progress of work orders, track the status of operations, and manage work-in-progress (WIP) inventory. MES can capture real-time data from various sources, including IoT devices, to provide accurate and up-to-date information about production processes. This visibility allows for timely interventions, quality control, and proactive decision-making.

Quality Management:

Quality control is a critical aspect of manufacturing, and MES plays a vital role in ensuring product quality. It provides functionalities for capturing quality data, performing inspections, and enforcing quality standards throughout the production cycle. MES systems can integrate with quality control tools, perform statistical analysis, and trigger alerts or corrective actions when quality deviations are detected. This ensures adherence to quality specifications, reduces defects, and improves overall product quality.

Inventory and Material Management:

MES facilitates efficient inventory and material management by tracking the movement and usage of materials in real-time. It helps manage inventory levels, maintain material traceability, and avoid stockouts or excesses.

By integrating with supply chain systems, MES can provide accurate inventory data, enable automated material replenishment, and support efficient supply chain management.

Performance Monitoring and Analysis:

MES collects and analyzes data related to production performance metrics, such as cycle time, throughput, yield, and downtime.

It provides real-time dashboards and reports to monitor and analyze key performance indicators (KPIs).

This identifies bottlenecks, optimize processes, and drives continuous improvement initiatives. MES acts as a valuable tool for performance measurement, root cause analysis, and the implementation of lean manufacturing principles.

Regulatory Compliance and Reporting:

Manufacturing operations are subject to various regulatory requirements and reporting obligations. MES helps ensure compliance with industry-specific regulations, quality standards, and safety guidelines.

It can generate comprehensive reports, maintain electronic records, and provide audit trails to demonstrate compliance and facilitate regulatory inspections. MES systems automate the documentation and reporting processes, reducing manual efforts and improving accuracy.

Integration with Enterprise Systems:

MES serves as an integration layer between the shop floor and higher-level enterprise systems. It seamlessly connects with ERP, Supply Chain Management (SCM), and Product Lifecycle Management (PLM) systems, enabling data exchange and synchronization.

This integration ensures alignment between production activities and broader business objectives, facilitates information flow, and supports decision-making across your organization.

In summary, MES/MOM acts as your central nervous system for manufacturing operations, enabling efficient execution, optimizing resources, ensuring product quality, and driving continuous improvement in the manufacturing environment.

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2. The features and functions of MES/MOM solution

MES provides functionality to support:

·??????Establishing the plan and maintaining schedule, by inputting your production plan and monitoring real-time progress on dashboards

·??????Enforcing a repeatable process and building a systematic approach

·??????Creating intelligent data for continuous improvement

Some MESs have advanced control and optimization built-in covering all aspects of supporting operations management.

Firstly, an in-depth portal for MOM execution.

A portal that opens the MES user interface, allows access to the dashboards, launch activities and functions. It authenticates user access privileges and provides a comprehensive view of process execution. It is a powerful tool for reviewing and fine-tuning manufacturing processes. The solution should?provide a tight connection from your collaborative intelligence platform with your Manufacturing Operations & Execution Management System.

Pulled into that portal for management, operations and collaboration should be:

???????Executive intelligence Center

???????Maintenance Intelligence

???????Production / Quality Intelligence

???????Logistics Intelligence

???????Manufacturing Process Intelligence

???????Time & Labor intelligence

???????Machine Intelligence

???????Warehouse Intelligence

???????Reporting Analytics Platform

???????Quality Management

???????Warehouse management

???????Visual Quality Defect Tracking

???????Time & Labor

???????production

???????Quality Planning?

???????Process Builder

???????Issue management

???????Business Integrator

???????Production Supervisor

???????Global Traceability

???????Machine Integrator

???????Just-in-sequence

???????Global Process Manager

???????Dispatching Board

???????Maintenance

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B. Explanation of IoT (Internet of Things)

The Internet of Things (IoT) is a network of interconnected physical devices, objects, and sensors embedded with electronics, software, and connectivity capabilities that enable them to collect and exchange data.

These devices, often referred to as "smart" or "connected" devices, can include everyday objects such as appliances, vehicles, wearables, industrial machinery, and more.

The concept of IoT revolves around the idea of connecting these devices to the internet or to each other, allowing them to communicate, share information, and collaborate in various applications. By integrating IoT technologies into different industries, businesses and individuals can unlock numerous benefits and transform the way they operate.

Here are some key aspects that highlight the definition of IoT and its applications in various industries:

• Connectivity and Data Collection: IoT devices are equipped with sensors and actuators that enable them to collect and transmit data. These sensors can detect and measure parameters such as temperature, humidity, pressure, location, movement, and more. By connecting these devices to the internet, a massive amount of real-time data can be collected, providing valuable insights and enabling data-driven decision-making, especially in your manufacturing operations.
• Monitoring and Control: IoT applications allow for remote monitoring and control of devices and systems. For example, in manufacturing, IoT devices can monitor machine performance, detect faults, and initiate maintenance actions. Such monitoring and control capabilities enable proactive maintenance, reduce downtime, and improve operational efficiency.
• Automation and Efficiency: IoT facilitates automation by enabling devices to communicate and collaborate intelligently. For instance, in smart factories, IoT devices like thermostats, lights, and appliances can interact with each other to optimize energy usage. Furthermore, IoT integration enables the automation of production processes, optimizing resource utilization, reducing manual interventions, and increasing efficiency.
• Supply Chain Optimization: IoT plays a crucial role in supply chain management by enhancing visibility and traceability. IoT sensors can track the movement and condition of goods throughout the supply chain, providing real-time information about location, temperature, and other relevant parameters. This enables better inventory management, reduces losses, improves delivery accuracy, and enhances overall supply chain efficiency.
• Safety and Security: IoT applications enhance safety and security in various industries.
• Predictive Analytics and Maintenance: IoT-generated data can be leveraged for predictive analytics and maintenance. By analyzing historical and real-time data from IoT devices, patterns and anomalies can be identified, enabling predictive maintenance strategies. Predictive maintenance reduces downtime, optimizes equipment performance, and lowers maintenance costs by identifying and addressing potential failures before they occur.
• Smart Energy Management: IoT applications contribute to energy efficiency and sustainability by enabling smart energy management. IoT devices can monitor energy consumption, automatically adjust usage based on demand, and optimize energy distribution. This allows for efficient energy management, cost savings, and reduced environmental impact.?

3. Benefits of MES Integration with IoT

The beating heart and the blood running through remains with the Data and the IoT collectors/platform, providing information to the brain, The MES/MOM:

A. Real-time Data Acquisition

Utilizing IoT sensors and devices for data collection: By integrating IoT sensors and devices with MES, you can benefit from real-time data acquisition.

These sensors can be deployed at various points in the production process to collect data on parameters such as temperature, pressure, vibration, and more. The data collected from these sensors is transmitted in real-time to the MES system, providing up-to-date information on the status of machines, equipment, and production processes.

Continuous monitoring of production processes:

With MES integration with IoT, you can achieve continuous monitoring of production processes. IoT devices can capture data at regular intervals, allowing for real-time monitoring of KPIs such as:

• production rates,
• cycle times, and
• quality metrics

This continuous monitoring allows you to have a comprehensive view of your operations, identify deviations or anomalies, and take prompt action to address any issues.

B. Enhanced Visibility and Traceability

Tracking and tracing of materials, products, and equipment:

MES integration with IoT enables enhanced visibility and traceability throughout the manufacturing process. IoT devices and sensors can be utilized to track and trace the movement of materials, components, and finished products.

By attaching IoT tags or using RFID technology, you can accurately monitor the location and status of items in real-time. This visibility helps in reducing errors, improving inventory management, and ensuring the right products are delivered to your customers.

Identifying bottlenecks and optimizing workflows:

By integrating IoT data with MES, you can identify bottlenecks and optimize workflows. Real-time data from IoT devices provides insights into the performance of machines, production lines, and overall processes.

By analyzing this data, you can identify areas of inefficiency, such as machine downtime or production slowdowns, and take proactive measures to address them. This optimization leads to improved productivity, reduced cycle times, and increased overall operational efficiency.

C. Predictive Maintenance and Optimization

Utilizing IoT data for predictive maintenance strategies:

One of the significant benefits of MES integration with IoT is the ability to leverage IoT data for predictive maintenance.

IoT sensors can monitor the condition of equipment, detect anomalies or deviations from normal operating parameters, and predict potential failures or maintenance needs.

By analyzing this data in real-time, you can implement predictive maintenance strategies. This approach allows for planned maintenance activities based on the actual condition of the equipment, reducing the risk of unexpected breakdowns, optimizing maintenance schedules, and extending the lifespan of assets.

Minimizing downtime and optimizing equipment performance:

By implementing predictive maintenance through MES integration with IoT, you can minimize downtime and optimize equipment performance. With real-time data from IoT sensors, you can proactively identify maintenance needs and schedule maintenance activities during planned downtime periods.

This minimizes the impact on production and reduces the risk of unscheduled downtime.

Furthermore, by analyzing IoT data, you can gain insights into equipment performance and identify opportunities for optimization and efficiency improvements, such as adjusting operating parameters or implementing predictive algorithms.

By harnessing the power of IoT in conjunction with MES, you can make data-driven decisions, improve operational efficiency, and achieve higher levels of productivity and customer satisfaction.

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4. The Challenges in MES/MOM Integration with IoT

A. Data Security and Privacy

Ensuring the protection of sensitive production data:

One of the primary challenges in MES integration with IoT is data security. With the increased connectivity and data exchange between devices and systems, the risk of data breaches and unauthorized access to sensitive production data becomes a concern. You must implement robust security measures to protect the confidentiality, integrity, and availability of data throughout you IoT ecosystem. This includes implementing encryption, access controls, authentication mechanisms, and secure communication protocols.

Implementing robust security measures:

You'll need to implement comprehensive security measures to address the unique challenges posed by IoT integration.

This includes ensuring secure device onboarding and provisioning, secure communication channels, secure storage of data, and regular security audits and updates.

Security policies and procedures need to be established, and employees should be trained on data security best practices to mitigate risks associated with IoT integration.?

B. Interoperability and Standardization

Integration challenges between various IoT devices and systems:

The IoT landscape consists of a wide variety of devices, sensors, and systems, each with different protocols, data formats, and communication interfaces. This diversity poses challenges when integrating multiple IoT devices and systems with MES.

Integration efforts may require significant customization and development to establish interoperability and seamless data exchange between different components of the IoT ecosystem.

Importance of standard protocols and interfaces:

To address interoperability challenges, the industry needs to establish and adopt standard protocols and interfaces for IoT devices and systems. Standardization allows for easier integration, simplifies data exchange, and promotes compatibility between different IoT components.

Standards such as MQTT (Message Queuing Telemetry Transport), CoAP (Constrained Application Protocol), and OPC UA (Unified Architecture) play a crucial role in ensuring interoperability and easing the integration process.

C. Scalability and Infrastructure

Handling large volumes of data generated by IoT devices:

Integration with IoT introduces the challenge of handling and processing large volumes of data generated by numerous IoT devices. This requires scalable and robust infrastructure capable of storing, processing, and analyzing massive amounts of data in real-time.

It's time to invest in cloud-based or edge computing solutions to accommodate the scalability requirements of IoT data processing and ensure timely and efficient data management.

Upgrading existing infrastructure to support IoT integration:

MES integration with IoT often requires the upgrading or modification of existing infrastructure to support the increased data flow and connectivity.

This may involve the installation of additional networking equipment, updating software systems, enhancing storage capabilities, or implementing edge computing capabilities.

The need to assess your existing infrastructure and invest in necessary upgrades to support the integration of IoT devices and systems effectively is now.

5. Case Studies: Successful MES Integration with IoT

A. Example 1: Automotive Manufacturing?

Integration of MES with IoT devices for real-time production monitoring:

In the automotive manufacturing industry, MES integration with IoT has proven to be highly successful. IoT devices such as sensors and machine monitoring systems are integrated with MES platforms to enable real-time monitoring of production processes.

These devices collect data on machine performance, cycle times, quality metrics, and other relevant parameters. The data is then transmitted to the MES system, providing a comprehensive view of the production floor in real-time.?

Improved efficiency and reduced downtime:

By integrating IoT devices with MES, automotive manufacturers have achieved significant improvements in efficiency and reduced downtime. Real-time data acquisition allows for immediate identification of production bottlenecks, machine malfunctions, or quality issues.

With this information, you can take prompt action, such as scheduling maintenance, adjusting production schedules, or allocating resources more effectively.

The result is improved operational efficiency, optimized production cycles, and minimized downtime, leading to higher productivity and cost savings.

B. Example 2: Food and Beverage Industry

Utilizing IoT sensors for real-time temperature and humidity monitoring:

In the food and beverage industry, MES integration with IoT has been instrumental in ensuring product quality and compliance with regulations.

IoT sensors are deployed throughout the production and storage facilities to monitor critical parameters such as temperature and humidity. These sensors continuously collect data and transmit it to the MES system.

Real-time monitoring enables proactive measures to be taken if there are deviations from the required conditions, such as adjusting temperature settings or triggering alerts for corrective actions.?

Ensuring quality control and compliance with regulations:

By leveraging IoT integration with MES, the food and beverage industry has enhanced quality control and regulatory compliance.

Real-time monitoring of temperature and humidity conditions helps maintain the freshness and safety of perishable goods.

In addition, the collected data serves as valuable documentation for regulatory compliance, allowing manufacturers to demonstrate adherence to food safety standards and regulations. This integration ensures product integrity, reduces the risk of product recalls, and enhances customer satisfaction and trust.

These case studies highlight the successful integration of MES with IoT in different industries.

By leveraging IoT devices and sensors, you too can achieve real-time production monitoring, improved efficiency, reduced downtime, enhanced quality control, and compliance with regulations.

The integration of IoT with MES empowers businesses to make data-driven decisions, optimize processes, and achieve operational excellence.

With the continuous advancement of IoT technologies and the increasing adoption of MES systems, you can expect more industries to benefit from the successful integration of IoT and MES in the future.

6. Best Practices for Successful MES/MOM Integration with IoT

A. Define Clear Objectives and Requirements

Aligning MES and IoT integration goals with business objectives:

Before initiating MES integration with IoT, it is crucial to define clear objectives and align them with the overall business objectives. Determine the specific areas where IoT integration can bring you value, such as improving operational efficiency, reducing downtime, or enhancing quality control. This alignment ensures that the integration efforts are focused and result-oriented.

Identifying key performance indicators (KPIs) for measuring success:

Establishing measurable KPIs is essential for tracking the success of MES integration with IoT.

Identify the key metrics that will indicate the effectiveness of the integration, such as production cycle times, equipment uptime, energy consumption, or quality metrics. These KPIs will serve as benchmarks for evaluating the impact of IoT integration and help identify areas for continuous improvement.

B. Choose the Right IoT Devices and Sensors

Evaluating various IoT devices based on functionality and compatibility:

Selecting the appropriate IoT devices and sensors is critical for successful integration. Evaluate different devices based on their functionality, compatibility with existing infrastructure, and the specific requirements of the manufacturing processes.

Consider factors such as:

• data accuracy,
• connectivity options,
• power requirements, and
• durability to ensure that the chosen devices align with the integration objectives and can withstand the manufacturing environment.

Ensuring scalability and flexibility for future expansion:

When selecting IoT devices and sensors, consider their scalability and flexibility to accommodate future expansion and changes.

The manufacturing landscape is dynamic, and new technologies may emerge or business requirements may evolve over time. Choose devices and sensors that can easily integrate with existing systems and allow for seamless scalability as production volumes increase or new processes are introduced.?

C. Establish Robust Data Analytics Capabilities

Implementing advanced analytics tools for processing IoT data:

Integration with IoT generates a significant amount of data that needs to be processed and analyzed. Implement advanced data analytics tools, such as machine learning algorithms or artificial intelligence, to derive meaningful insights from the collected IoT data.

These tools can uncover patterns, identify anomalies, and provide actionable recommendations for process optimization and predictive maintenance.

Extracting actionable insights for process optimization:

The real value of IoT integration with MES lies in the ability to extract actionable insights from the collected data.

Develop your data analysis workflows that translate raw data into meaningful information. This includes data preprocessing, feature engineering, and applying appropriate statistical or machine learning models.

The insights derived from data analysis can guide decision-making, drive process optimization, and enable proactive maintenance strategies.

7. Future Trends and Outlook

A. Evolution of MES Integration with IoT

Integration with emerging technologies like AI and machine learning:

The future of MES integration with IoT holds immense potential for further advancements, particularly in the integration of AI and machine learning.

By combining IoT data with AI algorithms, you can gain deeper insights and predictive capabilities.

• AI can analyze vast amounts of data in real-time, identify patterns, and make data-driven decisions to optimize processes, predict maintenance needs, and improve overall operational efficiency.
• Machine learning models can continuously learn and adapt based on new data, enabling autonomous decision-making and driving further automation in manufacturing processes.

Predictions for the future of MES and IoT integration:

The future of MES integration with IoT is expected to see exponential growth and innovation.

• Predictive analytics will play a crucial role in optimizing production processes, minimizing downtime, and reducing costs.
• Real-time monitoring and control of machines, equipment, and inventory will become more seamless and efficient, leading to increased agility and responsiveness in the manufacturing ecosystem.

Furthermore, the integration of IoT with other emerging technologies such as blockchain and augmented reality (AR) can bring new possibilities for supply chain transparency, remote monitoring, and enhanced visualization of production data.

B. Potential Industries and Applications

Exploring other industries where MES integration with IoT could benefit:

While MES integration with IoT has gained significant traction in industries such as automotive and food and beverage, there are numerous other industries where this integration can bring substantial benefits.

Industries such as pharmaceuticals, consumer electronics, energy, and logistics can leverage IoT integration to optimize their manufacturing processes, improve quality control, and enable real-time tracking of materials and products.?

Identifying potential applications and use cases:

The potential applications of MES integration with IoT are vast and diverse. Some potential use cases include:

• Pharmaceutical Industry: Integration of IoT sensors for real-time monitoring of temperature and humidity in storage facilities, ensuring compliance with stringent regulations for pharmaceutical products.
• Energy Industry: Utilizing IoT devices and smart meters for real-time monitoring of energy consumption and optimizing energy usage in manufacturing processes.
• Logistics and Supply Chain: Leveraging IoT sensors for tracking and tracing of goods, optimizing warehouse operations, and enabling real-time inventory management.
• Electronics Manufacturing: Integration of IoT devices for real-time monitoring of machine performance, detecting anomalies, and improving overall equipment effectiveness.
• Aerospace Industry: Utilizing IoT sensors and predictive maintenance for optimizing aircraft component performance, reducing maintenance costs, and enhancing safety.

The potential for MES integration with IoT extends to various industries, and the applications will continue to evolve as technology advances.

Manufacturers across different sectors can benefit from the integration of IoT with MES by gaining improved visibility, enhanced control, and data-driven decision-making capabilities.

Andrew Sparrow

Smarter Innovation & Product Lifecycle Management & Manufacturing: People, Teams & Business Solutions enabled through Change & Technology

Sometimes you need a real expert to help decide what's next and sometimes you need an entire team and sometimes you need an entire program delivering.

Delivering the entire PLM & Smart Manufacturing application layer, along with integration to ERP and moving your people to adopt new ways of working, is the holistic approach we take. It's the quality of our people and their experience that makes the difference.

If we can help you through your Smarter Manufacturing journey, you just have to ask

I'm a huge believer in constant change.

Standing still is going backwards

Oh, I can "boil the ocean" with the best of them, but let's not live there. Analysis leads to paralysis. Dreaming of & waiting for perfection is the enemy of execution.

Do something, get some quick wins and start building momentum.

I like to bring attention to Innovation, Smart Manufacturing, Global People Integration & Human Sustainability - I Blog, Vlog, Podcast, host a few Live Shows and love being involved in your revolutionary programs.

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I'm a big people-person & have spent my life meeting as many people & cultures as I can. At my last count, I am lucky enough to have visited & done business in over 55 countries

Talk soon, Andrew