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5 Ways to Increase Manufacturing Productivity with an MES

5 Ways to Increase Manufacturing Productivity with an MES

In order to remain competitive, manufacturers need to maintain high manufacturing productivity – or high revenue generated per employee.

Most methods of improving manufacturing productivity begin with a thorough analysis of a company’s systems and manufacturing processes, to eliminate waste and optimise the value-adding processes.

  • Eliminate wasteful processes.
  • Systemise what’s left.
  • Automate wherever possible.

When it comes to automating processes, a Manufacturing Execution System (MES) can help. A good MES can automate the manual decision making, data collection and process instructions, that have previously been paper-driven or controlled using a variety of separate IT systems.

Here are our top 5 tips on how an MES can be used to make the biggest impact on manufacturing productivity and company profits:

Reduce Labour Costs

Manual assembly, test and inspection processes can be very time consuming, particularly when manufacturing complex products. Traditional paper-based work instructions or those displayed in basic image viewing software can limit the flexibility of training new operators. It can also slow down complex labour-intensive manufacturing processes.

Work instruction displays in an MES will reduce the time spent in manufacture, by making it faster to train operators proficiently. When an MES is used to display videos of complex assembly processes or exploded views that illustrate the details of the manufacturing process, operators can get up to speed much quicker.

Manufacturing ProductivityDigital work instructions in an MES can reduce labour costs.

Digital work instructions can also be used to speed up labour-intensive assembly processes, by reducing the amount of context switching that operators have to do. An operator can identify the product they are building and rely on the MES to display the correct work instructions for them. They do not need to waste time looking for the correct version of a work instruction.

Reduce Material Costs

Material costs can be reduced by improving the accuracy and repeatability of manufacturing processes. By integrating an MES with existing shop floor equipment or using a statistical process control (SPC) module within the MES, a production control step can be used to monitor, control and adjust process parameters. When the accuracy and repeatability of processes are improved there will be less material wastage through scrap or rework.

Reduce Defects & Errors

Reducing defects and errors in the manufacturing process can have a huge impact on productivity and profitability. It avoids wasting materials and labour on non-value adding processes. An MES helps by adding quality checks to the manufacturing process so errors are detected or prevented early on. This ensures that defects leading to lengthy and expensive rework do not appear at the end of manufacturing.

A common example seen by manufacturers is a component fitted in error at an early assembly process. The product goes on to have several manufacturing processes completed and is functionally tested before being shipped to the customer. If the defect is detected at a final functional test, the product must be completely stripped down so that the component can be replaced. This can often take up to 5 times the standard production time.

Manufacturing ProductivityUsing a quality control step in an MES to ensure correct components are assembled.

When a manufacturer uses an MES with quality checking steps, this error could be detected at the time of assembly. The operator would be notified that this was an incorrect component and could remedy the error immediately, with minimal impact on time.

Reduce Cycle Times

When cycle times can be reduced, a manufacturer can output more product in each shift. This enables them to generate more revenue from their factory every month.

An MES can be used to reduce cycles times by using it to automate manufacturing processes. This means that previously manual processes can be run unattended. One of our clients used this method to reduce their cycle times by 25% and increased their shift output. They had one operator performing as an assembly process, then a functional test. We created a customised production step in our MES for their functional test so that the operator could perform an assembly, then start an automated test and return to assembling the next product.

Improve Delivery Performance

Improving delivery performance by reducing production lead times, means a manufacturer can generate more revenue from increased product sales.

One of our clients, Mettler Toledo Safeline, found that their existing paper-driven production process had several stages where the product was left in batches waiting for an inspection or test process. When they used our MES they eliminated waiting times and as a result, reduced their production lead time by 50%.

 

 

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Digitalising Manufacturing

Digitalising Manufacturing

I visited the Manufacturing Technology Centre in Coventry for a Digitalising Manufacturing Conference, where I had the chance to discuss the benefits that digital manufacturing can bring to manufacturing businesses, and also some of the roadblocks to its full adoption in the UK.

Impact of Digital Manufacturing

Carlos Lopez Gomez discussed the results of an Innovate UK funded study into the impacts of Digital Manufacturing globally. The study is aiming to collect and analyse evidence on the potential improvements from digital manufacturing. Most predictions of improved manufacturing productivity have focussed on expected, rather than observed impacts. So this Study is to provide some evidence-based research on actual improvements.

Few countries have reported data on observed impact, however, both Singapore and Korea have reported improvements of 30% manufacturing efficiency by adopting digital manufacturing technologies.

Business Value

Businesses surveyed in the report were asked what they found were the biggest business impacts of digital technologies on their business. They reported three key benefits:

  • Increased Revenue.
  • Reduced Costs.
  • Reduce Working Capital.

Business ValueHow Digital Manufacturing Helped
Increased Revenue• Increased Profit Margin
• Increased Sales of Existing Products
• Improved Product Performance
• Increased Customer Satisfaction
• Reduced Time to Market

Reduced Costs • Increased Manufacturing Efficiency
• Reduce Defects & Errors
• Reduce Maintenance Costs
• Improved Delivery Performance
• Reduce Equipment Commissioning & Tooling

Reduced Working Capital• Reduced Inventory

Business Value in Applications of Digital Manufacturing
Source: IfM

Manufacturers found that the biggest improvements came from reduced materials & labour costs, reduced defects & errors, increased output, and improved delivery performance.

In the manufacturing projects we’ve worked on we have helped Husco International to achieve their goal of zero defects manufacturing, and Mettler Toledo to improve their delivery performance by reducing production lead times. You can read the full case studies here.

Applications & Solutions

Businesses reported on digital manufacturing applications and solutions that led to the largest business impact. They found that the definition of manufacturing processes led to the biggest impact in reducing labour costs. An example of this would be defining a repeatable work process and using digital work instructions to ensure operators can quickly and repeatably follow the process.

The study also reported that manufacturers had achieved reduced costs by diminishing defects and errors in the manufacturing process. This was accomplished through good design and definition of the manufacturing process. Our clients use Tascus to guide operators through complex manufacturing processes. They use quality checks and inspection throughout, to ensure that defects and errors are eliminated.

Business ImprovementMost Impactful Technology Solutions
Reduction of Labour Costs• Process Design & Definition
• Resource Management
• Product design & definition
Reduction in Material Costs• Process design & definition
• Product development
• Process control & optimisation
Reduction of Defects and Errors• Product design definition
• Staff and workflow management
• Process design & definition
Increased Outputs• Packaging & Shipping
• Process control & optimisation
• Assembly

Improved Delivery Performance• Staff & workflow management
• Product & service quality management
• Production control & planning

We’ve worked with many manufacturers over the past 8 years, to implement business improvements in all of these areas. Our product Tascus helps manufacturers to increase outputs and reduce defects and errors in the manufacturing process.

You can read the full report here.

Industry 4.0 Guide – An Overview

Industry 4.0 Guide – An Overview

We are currently experiencing the 4th Industrial Revolution, where machines and manual operations are being connected together to bring the benefits of automation to entire production processes and factories. The term Industry 4.0 was coined in Germany, as a proposed way for SME manufacturing companies to remain competitive and relevant in the future. Business leaders recognised that German manufacturers could not compete with low-cost manufacturing, so they must develop new and innovative manufacturing techniques.

“Industry 4.0 is not just about technologies. It is also about new ways of solving problems, creating unique experiences and accelerating business performance.” Bjorn Johansson – PwC

industry 4.0 overview stages

An overview of the 4 Industrial Revolutions (Christoph Roser at AllAboutLean.com.)

Benefits of Industry 4.0

Research by PwC suggests that companies who embrace Industry 4.0 will also have an advantage over their competitors. Their report talks about:

  • 30% increases in productivity through increased machine uptime and usage.
  • Reduced time to market for new products.
  • Mass Customisation – Competitive advantage through meeting customer demand with ‘make to order’ products.

Companies who have implemented Industry 4.0 have reported an increase of 3% in ROI from cost savings (better use of labour and machinery), and also additional revenue (new digital products and data analytics services) of 3%.

Are you ready for Industry 4.0?

Once a company is convinced of the benefits of applying Industry 4.0 techniques within their company, they must assess the companies Digital Readiness Level (DRL) to understand what will be required to create a connected factory.

Our assessment of the key stages and requirements for implementing Industry 4.0 are:

  • Big data from machines, manual processes and PLCs needs to be acquired and networked across the factory.
  • Big data needs to be analysed and converted into smart business data.
  • Machines should then be able to make the business decision currently being made by people.

“In the future, your IT infrastructure may be more valuable than your production assets”.

Consequently, the major benefit of implementing this will be reduced costs from better use of labour and machinery. There can also be additional revenue from new digital products and data analytics services.

What next?

We will take you through each of the stages required to set up and implement Industry 4.0 in your manufacturing organisation, step by step.

Read the next part of the guide: Part 1 – Creating a Secured Network Factory.

Industry 4.0 Guide Part 1 – Creating a Secured Network Factory

Industry 4.0 Guide Part 1 – Creating a Secured Network Factory

The benefits of Industry 4.0 are achieved when computers can collate production data and make production decisions that are currently made manually. The first step to implementing this is connecting each production operation and machine with a secure network connection.

Secure Local Networks

The majority of installations we have been involved in, have had secure local networks for production lines. These were connected to the internet or corporate network through a gateway computer with TLS/SSL Encryption. The connections between production devices, gateways and the processing & analytics services in the cloud or on corporate networks, must, therefore, have Confidentiality, Integrity and Availability (CIA).

benefits of industry 4.0 iiot network

By following the key rules of CIA, a system will have:

Confidentiality – the ability to hide information to those who are not authorized to view it. Cryptographic encryption must be used to ensure confidentiality.

Integrity – ensures that the data received is an accurate representation of the data transmitted from the source. Devices should use cryptographic hashing to ensure data is not corrupted.

Availability – ensures that the data is available to be accessed by the authorized viewer at any time. Devices must use cryptographic certificates to prove who they are.

The benefits of this are that the reliability of the production line is not reliant on the internet or corporate network connection. It also has security benefits that each machine network connection requires lower security standards, as they are not directly connected to the internet.

Configuring Networks

Custom machinery may be using industrial protocols like Modbus or OPC to connect to the Gateway. Therefore, ensuring the Gateway to Cloud / Corporate Network is the main focus of secure local networks.

When configuring a network like this, the Gateway Hub computer will need 2 network ports, one for the local network using a fixed IP address, and a second for connection to the internet or corporate network using a TLS / SSL Encrypted connection.

The local network should then be connected with fixed IP addresses to all devices and machines in the production line. An example is shown below:

Machine NameDevice TypeLocal IP Address
Gateway HubWindows PC192.168.0.90
CNC Machining StationPLC > Windows PC HMI192.168.0.95
Sub Assembly Station Windows PC 192.168.0.100
Sub Assembly InspectionSmart Camera192.168.0.105
Assembly StationWindows PC 192.168.0.110
Functional Test Station PLC > Windows PC HMI192.168.0.115

Using this network configuration, the Gateway PC will manage to communicate with the wider factory network eg. for acquiring production order data. The local network will be used to guide and manage the production process.

Additionally, a local production database can be installed on the Gateway PC to store local production data. The Gateway PC will also poll each of the production devices to check on their status to ensure that they are capable of performing production operations.

Distributed Devices

Local networks are not an option when production equipment is located in remote locations. In this case, the only option is to directly connect machines and devices directly to the internet. This requires more stringent security procedures on the machine connection, to reduce the risk of attack onto production equipment.

iiot-network-overview-distributed-devices

In this case, an encrypted connection from the device to the hub is required, as the distributed devices are susceptible to attack from outside of the organization.

Building a secure, reliable network is a key foundation of all Industry 4.0 solutions and should not be overlooked.

Read the next part of the guide: Part 2 – Connecting Devices Throughout Your Factory

Industry 4.0 Guide Part 2 – Connecting Devices Throughout Your Factory

Industry 4.0 Guide Part 2 – Connecting Devices Throughout Your Factory

Device Communications

Once a secure network that enables a connection between production devices is in place, a system must be created for connecting devices that will allow production machines to communicate with each other.

There are two main reasons for enabling production devices to communicate:-

1. Monitor Machinery Status

Firstly, acquiring and storing machinery status. Health and production data will enable you to perform machine data analysis to predict its performance. Doing this can also help you decide when and how the machine should be used and ultimately improve its production efficiency and machine utilization.

Connecting Devices

2. Control The Production Processes

Secondly, sending commands to the production equipment to control what production processes to perform. This reduces manual interaction and decision making within the production process, therefore making the production process more efficient and consistent.

By taking out the manual decision making of which program a machine should run and having a software application make that decision, allows several key benefits to arise:-

  • The risk of making production mistakes is greatly reduced. The correct machine program and setting can be configured correctly from the products routing and Bill of Materials (BOM), instead of being selected manually from a work instruction.
  • A greater variety of different products can be routed through the same production line, with extremely small batch sizes. A software application will select the new machine configurations for each new product. As a result, change-over times can be drastically reduced between different parts.
  • The result of each production operation can be recorded. Consequently,  product managers can instantly see the current production status of products moving along the production line. Product certifications can be automatically created and also submitted directly to customers.

Connecting Devices

There are several types of manufacturing processes to connect to, simplified it by categorising them into manual and automated processes. Manual processes are primarily controlled by a human operator, whereas automated processes are primarily controlled by an automation device eg. a PLC or robot.

Each process must acquire data from the production process. The data is then broadcast out using a standardized data format. This is a data formatting schema that can be used for every manual process, machine or device. It contains the structure that allows software applications to understand the type of device sending the production data, and also the production data characteristics contained.

There are many web-formatted data formats that can be used as a starting point for this communications protocol.  JSON and XML being two popular data transfer standards.

joint-image

Currently, there are no agreed standards for transferring machinery data using Industry 4.0, so this is an area of the technology that needs to be monitored. This will ensure that systems developed now, can adapt and conform to burgeoning standards for data communication within Industry 4.0. Using a popular format like XML or JSON and making customized schemas within that framework for your device communications is, therefore, a good starting point.

Connecting Manual Process

Any manual or semi-automated process means we need to add sensors and a User Interface (UI). This gives the manual operator instruction of the manual process to be performed and also feedback on the results of the manufacturing process. The process HMI and process sensors must receive production information and send production data out, that the networked production line can understand and process.

Connecting Devices

A National Instruments Wireless Data Acquisition (DAQ Device)

To implement a system like this requires either intelligent Industrial Internet of Things enabled sensors or regular sensors connected through a device, that can process incoming commands and broadcast the sensor data out using a standardised data format.

Connecting Automated Processes

If a process is automated, a device will be controlling the process – typically a PLC or Robot controller. To connect these types of devices together, an industrial protocol will be used. The right type of protocol often depends on which protocol can be supported by the PLC or robotic device that controls the process.

There are numerous established industrial protocols existing today, including:-

  • Modbus
  • OPC DA / OPC UA
  • TCP/IP
  • Profinet
  • Open Protocol

Each of these industrial protocols can communicate with computers, using an Ethernet network connection. A key requirement for the system is a software layer that sits between the devices that use the machine-specific protocol. This software layer can, in a generic format, broadcast the current machine status. It can also receive and send commands to the machine, using a protocol that it understands.

Connecting Devices

An Overview of an Industry 4.0 Production Software System, where manufacturing devices communicate through a Software Communications Layer.

As an example of this, we have developed our Industry 4.0 software product Tascus. It has a device communication software layer that can communicate with any industrial protocol. It also acts as a software layer to send and receive information to each manufacturing process. The Tascus software layer then stores its production data in a SQL Database for analysis and production tracking.

Read the next part of the guide: Part 3 – Connecting Entire Production Operations

Industry 4.0 Guide Part 3 – Connecting Production Operations

Industry 4.0 Guide Part 3 – Connecting Production Operations

Connecting production operations is the first step in creating a paperless factory. This can deliver large increases in production efficiency and reduce the lead time of manufacturing products.

Many production systems control product routings manually. A bill of materials and job routing will be developed for a product. It will be printed out and carried along with a product batch, through a factory and various manufacturing operations. This requires planners, supervisors and production operators to review each product routing and also to decide what should happen next to the product batch.

By connecting manufacturing processes together, a software system can perform all of this product routing. It can communicate directly with production machinery to select the correct production process for each product batch.

Optimising Product Routing

When all production equipment is connected to the production system, the software application controlling the process has a large amount of data about the machinery and production equipment, throughout the entire production process.

In addition, a software application can perform far more analytics and quality checking on products as they progress through the factory. Product routings can be changed based on feedback from production data, or on data from production machinery further down the production line.

The production software can optimise the production process by adding logic to change routing when:

  • Bottlenecks can be avoided by balancing product routing against current process times.
  • When sales order volume changes, the product can be rerouted automatically through the fastest path to delivery.
  • New products can be routed quicker, with less manual decision making on the shop floor.

Connecting Production Operations

An example software HMI layout of a production facility with product routings highlighted.

Automatic Delivery of Job Packs

The software controlling the production systems knows all the production information about the part coming in to be manufactured. Therefore, it can be connected to CAD and ERP systems to deliver the full job pack with manufacturing information, for the production operator.

This ensures that the correct information is delivered for each product when it is required. It also makes the production of small batches of product easier.

Guided Assembly

Human Machine Interfaces (HMIs) can be used to display production work instructions, guiding the operator through any manual production process. It displays production feedback from machinery that is needed for any decision making that the operator must make.

Connecting Production Operations

A Production Line HMI

When guided assembly stations are combined with sensors, barcode scanners and RFID tag readers, a trackable and traceable production line can be built. As the product moves along the production line, the software system will record each manufacturing operation that has been completed. It can also record component details that have been used in the product.

All this information can be stored in a production database, so that product reports can be generated detailing all manufacturing operations performed and all components used during manufacture.

Key benefits of connecting production operations

  • Producing new products and products with low batch sizes quickly, as production planning and production data can be controlled through the production software.
  • Track and Trace production lines with all manufacturing operations recorded and components used.
  • Generating production reports for products and batches of product
  • Insight into the current production status by viewing production data.

Read the next part of the guide: Part 4 – Improving Your Business With Production Data Analytics