Objectives:

• Automate tasks assignment and prioritisation based on technical requirements and technicians’ profiles.
• Optimise execution with a grouping of tasks to improve efficiency.
• Predict the demand vs supply and forecast the overtime planning.
• Identify the technical competency gap among technicians.

Desired Outcomes:

• Over 34 technicians with different skillsets for operation and engineering tasks are complex and vary widely, from logistical units collection to equipment setup.
• To have a one-stop solution platform between managers, engineers and technicians.
• Interactive solution on a mobile device for technicians to receive notifications and report efficiently.
• If the execution of tasks can be on auto-pilot mode and optimised continuously driven by data analytics, this would significantly improve work efficiency.

Current Limitations:

• Engineers need to manually book the necessary resources, including equipment and technicians’ availability.
• Independent systems are used to check and book different resources, e.g. equipment booking, technician scheduling, engineering samples, etc.
• Manual and tedious effort on engineers to communicate, cross-check, and set priorities with managers and teammates.

Objectives:

• The purpose of i4.0 implementation is to increase productivity or promote process transparency.
• To convince and attract the decision-makers / top management.
• Provide a cost-benefit analysis in this i4.0 transformation process to address and educate the benefits of i4.0 implementation and that it should be of high priority.
• Lower the cost of implementing new technologies.

Desired Outcomes:

• The reasons for the reluctance to bring operations to the Internet/Cloud are often security and cost.
• There is currently no one-size-fits-all solution that can be easily applied to companies for a large scale internal review to produce the cost-benefit report for consideration to move operations to the Internet/Cloud.
• There is also no ability to effectively visualise these benefits and present data coherently to address cost and security concerns. 

Current Limitations:

• i4.0 implementation can consist of various technologies/services, which can be costly overall.
• Despite the time and effort spent, the solution proposed may not yield positive results or be up to the business owner’s expectations.
• No ability to effectively visualise benefits – business owners cannot gauge the results / ROI.
• Difficult for a large-scale internal review to produce a cost-benefit report.

Objectives:

• To help establish fully interconnected and digitised smart factories
• Data to be extracted from legacy machining data/throughput
• Data within legacy machines/systems can integrate with external condition monitoring systems into one complete dashboard

Desired Outcomes:

• Key users are management and shop-floor personnel.
• One current method to obtain data from legacy machines is to introduce sensors in a non-invasive way to extract data for visualisation and analysis.
• However, there are still crucial data of these legacy machines or data from their Manufacturing Execution system that are still not retrievable.
• The limitation to the add-on sensors is that they cannot generate data to the needs of business owners fully.

Current Limitations:

• Costly and unjustifiable to replace existing legacy machines/systems (e.g. CNC/laser cutting).
• Lack of standard IoT communication protocols like MQTT and OPC UA.
• External sensors can only fulfil a partial wish list of business owners – mainly on reducing downtime and saving wastage costs.
• Crucial data like cutting speed, machine uptime, and throughput are also needed for OEE.

Perfect low-code platforms to capture more relevant data and improve efficiency.

Technology and best practices to turn our middle managers into data citizens.

Alternative transport modes, fuels, packing materials & end-to-end services.

Automated human tasks, and automated product handling with small changeover time.

As part of the Capitaland Master Sustainability Plan, Ascott is committed to reducing waste over the next few years. There is an increasing need for the group to find solutions that can address the needs of the properties that Ascott operates globally. The properties range from Serviced Residences, Rental Housing, Hotels, Senior Living Estates and Student Accommodations.

Objectives:

Because each Ascott property is on average 200 rooms, and does not operate F&B, the scale of the property does not justify the purchase of expensive equipment that costs tens of thousands of dollars.

The Ascott is looking for a solution that will help Ascott-operated properties with at least two out of four of the following:

• Waste Measurement
• Waste Tracking
• Recycling
• Waste Reduction

Working Model:

The solution should be lightweight and if possible, offered on the as-a-service model.

CPF Thailand is looking for a renewable energy solution for their farms and factories. The solution has to be able to generate or store enough energy to power the farm and factory for 24 hours a day with a sound financial feasibility. This aligns with the group’s holding policy to help CP Group achieve carbon neutrality.

Objectives:

To identify a renewable energy solution to power their farms and factories.

CPF Thailand has identified the following potential solutions to their problem but is open to all other ideas.

• Installing a wind turbine to generate larger amounts of renewable energy
• Installing an energy storage system to store enough energy to power their farms and factories throughout the day.

Working Model:

After partnering with selected startups, CPF Thailand will test solutions and co-develop a prototype or a POC before testing the solution at scale in a real environment to measure its business impact.

Objectives:

To identify opportunities within the global availability of more than 1 billion tonnes of agrifood by-products (such as husks, hulls, bran, germ, etc) being under-valorised in terms of nutrients or components and going to waste.

Working Model:

Bühler group has identified three key opportunity areas

• Component extract
  • By using a process or technology that can extract valuable components from by-products of agro-industrial food processes
• Direct nutrient recovery
  • Upcycling the micro and macronutrients from by-products through an applied process or technology into new food products such as alternative meat/dairy, savoury/sweet snacks or others
• Energy or heat recovery
  • Novel processes which can efficiently recover the energy value of low-value byproducts