I Holland Enhances Manufacturing Efficiency with Lighthouse Shopfloor-Online for Tablet Forming Tools
Customer Company Size
Mid-size Company
Region
- Europe
- Asia
Country
- United Kingdom
Product
- Shopfloor-Online
- SPC-Light
- Complaints and Concerns Module
Tech Stack
- Manufacturing Execution Systems (MES)
- PLC Integration
- CRM System Integration
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Productivity Improvements
- Waste Reduction
- Customer Satisfaction
Technology Category
- Functional Applications - Manufacturing Execution Systems (MES)
- Application Infrastructure & Middleware - Data Exchange & Integration
Applicable Industries
- Pharmaceuticals
Applicable Functions
- Discrete Manufacturing
- Quality Assurance
Use Cases
- Predictive Maintenance
- Machine Condition Monitoring
- Inventory Management
Services
- System Integration
- Software Design & Engineering Services
About The Customer
I Holland, based in Nottingham, UK, is a leading manufacturer of tablet forming tools, which are essential in the pharmaceutical industry for producing tablets with distinctive shapes, colors, and embedded logos or text. These tools are precision-made to ensure that the correct dose is formed when the top and bottom halves of the tool come together. The manufacturing process involves various discrete operations, including cutting, shaping, grinding, heat treatment, and tip formation, along with numerous inspection operations. The company operates on a batch basis, with multiple orders at different production stages across the floor. I Holland's tools are designed to produce millions of tablets, requiring them to be hardened for extensive use. The company has a single production facility that operates 24/7, necessitating efficiency improvements to meet growing demands without adding new production lines or shifts.
The Challenge
Around the year 2000, I Holland faced a significant challenge in its manufacturing operations due to the lack of any systems running or reporting on its factory lines. The operations were small enough for those involved to 'know what was going on,' but with the appointment of a new Finance Director and a new Managing Director, both with strong manufacturing credentials, there was a demand for 50% growth in production over a five-year period. This necessitated better visibility of all parts of the production process. The lack of information and data was evident, and it was clear that changes were needed to achieve the desired growth. The first step was to implement a scheduling system and key machine monitoring system, along with a standalone SPC system from Lighthouse Systems, known as SPC-Light. However, further shop floor-specific capabilities were deemed important to meet the new management's requirements.
The Solution
To address the challenges, I Holland implemented Lighthouse Systems' Shopfloor-Online in April 2004, replacing the previous SPC-Light system. This enterprise-wide solution provided greater control to operators and improved links between order processing systems and shop floor operations. The implementation aimed to enhance productivity through efficiency improvements, particularly in waste reduction. Historically, waste was caused by extra throughput that was scrapped after production runs, running at 10-15%. The new system eliminated the need for manual calculations by operators, reducing human error and allowing quality measurements to be input directly into the system. This enabled immediate issue flagging and quicker resolution. Additionally, the availability of information on the shop floor reduced lead times, increased capacity potential, and allowed I Holland to offer 'priority deliveries' as an enhanced service. The system also facilitated capacity planning, downtime analysis, and quality improvements by mapping critical machines within the factory. In 2007, Lighthouse Systems implemented PLCs to collect machine data directly into the MES, empowering operators to lead development and improve production visibility.
Operational Impact
Quantitative Benefit
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
Related Case Studies.

Case Study
Case Study: Pfizer
Pfizer’s high-performance computing software and systems for worldwide research and development support large-scale data analysis, research projects, clinical analytics, and modeling. Pfizer’s computing services are used across the spectrum of research and development efforts, from the deep biological understanding of disease to the design of safe, efficacious therapeutic agents.

Case Study
Fusion Middleware Integration on Cloud for Pharma Major
Customer wanted a real-time, seamless, cloud based integration between the existing on premise and cloud based application using SOA technology on Oracle Fusion Middleware Platform, a Contingent Worker Solution to collect, track, manage and report information for on-boarding, maintenance and off-boarding of contingent workers using a streamlined and Integrated business process, and streamlining of integration to the back-end systems and multiple SaaS applications.

Case Study
Process Control System Support
In many automated production facilities, changes are made to SIMATIC PCS 7 projects on a daily basis, with individual processes often optimised by multiple workers due to shift changes. Documentation is key here, as this keeps workers informed about why a change was made. Furthermore, SIMATIC PCS 7 installations are generally used in locations where documentation is required for audits and certification. The ability to track changes between two software projects is not only an invaluable aid during shift changes, but also when searching for errors or optimising a PCS 7 installation. Every change made to the system is labour-intensive and time-consuming. Moreover, there is also the risk that errors may occur. If a change is saved in the project, then the old version is lost unless a backup copy was created in advance. If no backup was created, it will no longer be possible to return to the previous state if and when programming errors occur. Each backup denotes a version used by the SIMATIC PCS 7 system to operate an installation. To correctly interpret a version, information is required on WHO changed WHAT, WHERE, WHEN and WHY: - Who created the version/who is responsible for the version? - Who released the version? - What was changed in the version i.e. in which block or module of the SIMATIC PCS 7 installation were the changes made? - When was the version created? Is this the latest version or is there a more recent version? - Why were the changes made to the version? If they are part of a regular maintenance cycle, then is the aim to fix an error or to improve production processes? - Is this particular version also the version currently being used in production? The fact that SIMATIC PCS 7 projects use extremely large quantities of data complicates the situation even further, and it can take a long time to load and save information as a result. Without a sustainable strategy for operating a SIMATIC PCS 7 installation, searching for the right software version can become extremely time-consuming and the installation may run inefficiently as a result.

Case Study
ELI LILLY ADOPTS MICROMEDIA’S ALERT NOTIFICATION SYSTEM
Pharmaceutical production is subject to a strict set of enforced rules that must be adhered to and compliance to these standards is critically necessary. Due to the efforts of WIN 911’s strategic partner Micromedia, Lilly was able to adopt an alarm notification infrastructure that integrated smoothly with their existing workflows and emergency hardware and protocols. These raw energy sources enable the industrial process to function: electricity, WIN-911 Software | 4020 South Industrial Drive, Suite 120 | Austin, TX 78744 USA industrial steam, iced water, air mixtures of varying quality. Refrigeration towers, boilers and wastewater are monitored by ALERT. Eli Lilly identified 15000 potential variables, but limitations compelled them to chisel the variable list down to 300. This allowed all major alarms to be covered including pressure, discharge, quantity of waste water discharged,temperature, carbon dioxide content, oxygen & sulphur content, and the water’s pH.