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The Operations Ecosystem (also called the solution enablement and value chain efficiency layer), is the key to ensure customer, strategy, and technology work seamlessly to deliver maximum value across the value chain. From product development, planning, sourcing, manufacturing and warehousing to logistics and services, all parties internally and externally have to work seamlessly across the value chain.
We believe the the operations ecosystem must have the requisite capabilities, partnerships, technology and plan to propel efficiency and effectiveness. This is to achieve profitability and greater market share, and to adapt and innovate, in order to build a sustainable business.
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Distinct from Industry 3.0, which involved the automation of single machines and processes, Industry 4.0 encompasses end-to-end digitization and data integration of every aspect of the value chain: offering digital products and services, operating connected, physical and virtual assets, digitizing and integrating all
Digital operations looks at digitising and integrating processes vertically across the entire organisation, from product development and purchasing, through to manufacturing, logistics and service.
A high-functioning operations ecosystem is essential for planning and execution because it optimises takt time: the pacing of activity so that it continuously aligns supply chain execution (including production and replenishment) with real-time customer demand signals, to drive sustainable and profitable results across the ecosystem.
The Digital Operations ecosystem allows for collaboration and full transparency across the entire value chain.
In digitising your operations, there are a few key benefits you can leverage:
Digital is not a strategy, it is a business strategy in a digital age.
The goal of digital operations strategy is to allow you to harness your digital capabilities. How quickly you are able to devise and implement a strategy will significantly affect just how competitive you are in the next few years.
We can help you tap into your digital capabilities:
Benchmark against your peers
Evaluate industry trends
Identify capability gaps
Develop a digital roadmap
We help you optimise your end-to-end supply chain, tailoring to your market needs and helping you gain competitive advantage in terms of service level, cost and asset efficiency, and flexibility.
Using our proprietary supply chain tool, the Supply Chain Opportunity and Optimisation Platform (SCOOP), we are able to provide rapid insight into your supply chain performance. Using advanced analytics – including machine learning, simulation and optimisation – we are able to identify and address your complex supply chain challenges, helping you identify quick wins.
SCOOP helps clients answer some of their most pressing questions:
How do I gain rapid visibility into my Supply Chain performance?
How do I identify and quantify hard-to-find benefits?
What does my optimal supply chain look like?
How can I manage my supply chain in real time?
Smart Manufacturing uses the digitisation of data to help factories transition into an agile and distributed model to increase factory efficiency and asset performance and extend asset life.
To help manufacturers become more data-driven, we have developed a set of analytics solutions which aim to help you:
Reduce product defects
Increase asset performance and life
Improve process visibility
Increase factory up-time
Robotic Process Automation (RPA) is a powerful tool which performs manual, time-consuming and rules-based office tasks more efficiently by reducing cycle time and at lower costs compared to other automation solutions.
RPA allows separate business units within a company to customise solutions to rapidly digitise processes, delivering significant and sustainable value in short timeframes while reducing overall risks. By deploying RPA operations at the business unit level, managers can support repetitive processes without conforming to centralised standards. This allows flexibility to be preserved while still achieving efficiencies and cost savings.
The key factors for successful RPA transformation:
Automating as much as possible
Focusing on front-end processes
Aiming for 100% auditability