Examples of SMaaS Model
Real-time Operational Insights Services
Smart manufacturing factory ensures ordered are delivered to customers on time, in total, and at the correct cost. From moving trucks to an overview of the operations, a digital control tower assess real-time data to gain actionable insights on possible late production, deliveries, inventory, and stocks, and all the fallacies that impede operations.
These help in improving on-time service operations and reduce the cost of transports through increased fleet utilization. To built resilient and more innovative supply chains, real-time operational analytics plays an important role.
Performance Analysis Services
Customers today look for the best quality at an economical rate. Measurement of supply chain performance helps to monitor the overall system. This integrative system approach includes the factories, suppliers, and distributors.
Digitized and automation of warehouses use different performance enhancement
tools to automate and monitor warehouse management. Using digital twins with IT-OT-ET systems enables optimization of cost, delivery, and quality. They are using a swarm of robots and inventory inspection drones to reduce manual intervention.
Optimization and Decision Support Services
Easy to scale without disrupting the existing infrastructure, this SMaaS model removes the roadblocks to making effective decisions. Connected factories
use a single source of truth, from raw materials processing to finished goods. Cloud solutions ensure a centralized information flow connecting and controlling the various platforms to minimize risk and process duplication. Data-driven solutions induced real-time actions enabling more innovative manufacturing and operations.
Examples of Smart Manufacturing-as-a-Service Model
Predictive Operations and Insights Services
Predictive maintenance utilizes interconnected devices, lightweight sensors, curated AI and IoT technologies, public clouds to keep critical machinery up and running with little to no human intervention. Throughout the implementation process, the critical failures due to a machine are tagged, and data is collected from sensors with the help of advanced machine learning algorithms.
This predictive maintenance of operations is usually done by a team that translates this information into action-packed decisions improving business value. Predictive quality and production insights are mapped to the corrective and preventive actions. This improves overall process efficiency and effectiveness.
Benefits of Adopting SMaaS
A smart manufacturing-led factory has numerous benefits to leverage for bettering the overall state of the manufacturing industry during unprecedented change.
Reduced Time to Market
Through automated systems and processes, SMaaS uses the cloud to establish a connected factory. A centralized cloud-enabled environment ensures automated collection and updates from one single source instead of accessing multiple databases. Analytics performed on real-time streaming, and batch data provide:
- Real-time insights into production processes for prevention of rework and material scrap.
- Improving labor productivity.
- Reducing mean time to repair and to recover, which reduces the lead time. Also, identify and predict bottlenecks for material flow and shop floor, improving material flow efficiency. Feedback to design systems improves the overall product lead-time and time to market.
Reduced Cost of Production
Disruptive technological adoption in the manufacturing industry improved through modern sensors, robotics, actuators, and improved overall production efficiency. Smart operations focus on asset management, operations management, energy management in an integrated manner. This significantly impacts the overall workflows, ensuring process improvement and reduces the cost of operations, quality assurance, and maintenance.
Benefits of Adopting Smart Manufacturing-as-a-Service
Reduced Cost of Logistics
Consistent and automated tracking of parts, inventories, and goods. Geofencing solutions to locate data and GPs for tracing assets improves logistics operations. The solutions create an environment that alerts businesses during stock storage and inventory shortage to ensure that the business never runs out of stock.
Lesser Cost of Maintenance and Quality Management
Better asset utilization reduces OPEX and CAPEX, improving the overall product lifecycle and asset utilization. Connected touchpoints enable enhanced data analysis to better view the overall quality and maintenance of the products and assets. Blockchain-enabled action points ensure transparency, keeping a tab on the product movement and transactions.
How to Build Your SMaaS Strategy
Evaluating all the pros and cons, the smart way to build a SMaaS strategy is to start by analyzing the current framework and business objectives. Blind integration of technology won't bring out the results the business needs. The existing operational environment and business process optimization should be aligned and lay down to ensure outcome effectiveness. Identify the key areas and driving a phase-wise transformation is a key to seamless implementation.