OPTIMUS

Optimising manufacturing opportunity costs through data-driven decisions

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Build a sustainable data-driven decision making process for your manufacturing needs.

WHAT IS OPTIMUS

Optimus is our proprietary software that tracks and identify the performance matrix of your machines. This is to manage overall equipment effectiveness, manufacturing costs and ensure continuous improvement for sustainable machine operations. We support your manufacturing, product development as well as quality control functions, to build a sustainable data-driven decision making process for your manufacturing needs.

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HOW WE ACQUIRE DATA

Optimus pulls data collected from machines, sensors and instruments, environmental data as well as data from existing systems to analyse and evaluate areas that can improve efficiencies and reduce losses. We provide end-to-end implementation from the provision and installation of sensors, syncing of data from your existing systems into our platform, all the way to analysing of data.

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Background of Client

Temperature and humidity control of the warehouse environment was crucial for our client’s business. The existing method of monitoring these factors were manual readings and paper recordings that was required to be conducted multiple times a day at various locations. Product spoilage often incurred if there was not immediate rectification to adjust and monitor storage condition.

Goals

To automate the data collection process, increase accuracy and improve time to action.

What We Did For Them

We introduce Optimus E series together with IoT devices that tracked temperature and humidity readings across all locations. Data was collected every minute and algorithms were put in place to send regular updates and trigger alerts to key operational managers via email.

Outcome

Reduction in product spoilage

Productivity improvement

Contact us

to see how we can do all this and more
through Optimus Digital Suite of Tools.

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Case Study 1

Manufacturing & Quality Control Digitalisation

Background of Client

The client’s manufacturing and quality control process was monitored and tracked manually using basic office softwares. This was a time consuming process and could not accurately evaluate machine operational efficiencies, maintenance needs and quality conformance.

Goals

To improve productivity in a sustainable way using proper enterprise systems.

What We Did For Them

We digitalised the entire manufacturing and quality control process by identifying specification limits, installed sensors to collect machine data, monitored machine output, created algorithms for predictive maintenance as well as managed quality control. Optimus Module M and Q series was adapted to fit the unique manufacturing needs of the client such as integrating with existing SAP and instruments for automated data collection.

Outcome

Productivity and overall waste was reduced. Skills upgrade initiatives and knowledge transfer of existing ground staff to manage highly complex manufacturing was crucial. Overall, better quality control and output.

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Case Study 2

Digitalisation Through Internet of Things (IoT)

Background of Client

Temperature and humidity control of the warehouse environment was crucial for our client’s business. The existing method of monitoring these factors were manual readings and paper recordings that was required to be conducted multiple times a day at various locations. Product spoilage often incurred if there was not immediate rectification to adjust and monitor storage condition.

Goals

To automate the data collection process, increase accuracy and improve time to action.

What We Did For Them

We introduce Optimus E series together with IoT devices that tracked temperature and humidity readings across all locations. Data was collected every minute and algorithms were put in place to send regular updates and trigger alerts to key operational managers via email.

Outcome

Reduction in product spoilage

Productivity improvement

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