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Makoro™ is not the same old way of asset performance management. It combines data from IoT, operational, and enterprise systems and makes recommendations on how asset performance can be improved in real-time. While other solutions are using advanced visualization for advanced analytics, Makoro™ takes a radically different approach with recommendations, With a recommendation system for asset performance manufacturers can take a more strategic approach to asset management.

Join this event to learn about how Makoro™ recommendations can make asset management cheaper and more engaging for your workforce.

#SmartManufacturing #Industry49 #RecommendationEconomy #ContinuousIntelligence

 

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The unprecedented impact of COVID-19 has proved that to innovate past the post-COVID-19 world, businesses require an ever-increasing velocity and scale of analysis to succeed in the face of unforeseen market shifts. The National Association of Manufacturers released the findings of a survey of manufacturing leaders examining the economic and operational impacts of COVID-19.

The survey highlights that 53.1% of manufacturers anticipate a change in operations and 35.5% of manufacturers are facing supply chain disruptions as a result of COVID-19.

To respond to change, activities in a production process must be continuously monitored and adjusted as needed. including purchasing of raw materials and the handling of inventories to maintaining the quality standards of the goods produced. Decisions based on continuous analysis of such processes empower manufacturers to predict, prepare, and respond in a proactive and accelerated manner to changing market conditions, including the likes of this crisis and its aftermath.

For manufacturers to lead the way, continuous intelligence is paramount. Gartner predicts that by 2022, more than half of major new business systems will incorporate continuous intelligence that uses real-time context data to improve decisions. A recently released report by ABI Research also identified Continuous Intelligence as a top technology trend to watch in the year to come.

Powered by advanced analytics and artificial intelligence technologies, continuous intelligence solutions improve the speed, quality, and precision of real-time and near-real-time operational decisions because they ingest higher volume and variety of quality data into the decision making process.

Moreover, these systems are able to process high volumes of data – both from IoT and other disparate systems – quickly, shielding your workforce from overload. Also, as the complexity and number of manufacturing assets increase, these systems are able to apply optimization techniques to evaluate far more options than a person could consider in the same amount of time. When done right, these systems also ensure better safety and distribution of your workforce.

Why now?

Because it is possible to implement continuous intelligence at scale due to advances in device connectivity leading to an explosion of data from sensors, actuators, and other devices, processing capabilities in the cloud, and streaming technologies operating at scale. Further impetus is provided by the advent of 5G to the already-present physical layer technologies, with the promise of openness, better performance, stability, security, and implementation simplicity, for faster use of IoT data in continuous intelligence applications.

Effective continuous intelligence systems display these 4 characteristics:

  1. Continuous Monitoring: Continuous intelligence systems run all the time, listening to and analyzing events as they occur, and making recommendations that require responses by persons or systems.
  2. Continuous Improvement: It’s important to correlate business goals with recommendations to make sure the models are working correctly and if necessary, modify rules and analytics and re-run to get recommendations aligned with business outcomes.
  3. Human Validation: People should be able to validate the intelligence periodically so that actions can be taken when recommendations do not achieve the desired results.
  4. Common Understanding: Although each person may have a personalized view of recommendations specific to their role within the organization, continuous intelligence provides a common operating view of processes across the enterprise.

Continuous intelligence from Makoro™ makes asset performance recommendations to manufacturers so they can deal proactively with changes in market demands. Makoro™ continuously correlates and analyzes data from IoT devices, enterprise, and operational systems and makes simple, real-time, and contextual recommendations that can be directly used by your workforce.

Recommendations from Makoro™ relate to users’ job functions and past interactions and are delivered directly to where they can be acted upon.

Users interact with Makoro™ via simple Accept/Ignore actions, which feed back into Makoro™; Makoro™ learns from the user interactions and re-trains so the recommendations get better continuously.

We invite you to take the Ten-day Makoro™ Challenge and experience continuous intelligence by Makoro™.

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A key success measure in the automotive industry is order-to-delivery (OTD) time. To speed up sales and to lower costs, automotive manufacturers need to reduce OTD. In order to stay competitive, manufacturers must maximize speed, efficiency and quality in how products are developed, assembled and delivered to customers.

MAKORO™ – Predictive and Automatic Recommendations:

MAKORO™ helps automobile manufacturers achieve these objectives. It allows businesses to track and manage assets critical to the performance of the business, thereby supporting optimal performance and maintenance levels. MAKORO™ applications – Line, Care and Force – deliver insights and recommendations automatically and continuously, giving businesses the ability to improve manufacturing line, asset and workforce performance from a unified perspective. By managing both critical assets and human resources closely, companies can significantly reduce process inefficiencies while improving workforce engagement. Having top operational performance can make a huge impact on a company’s bottomline. MAKORO™ helps businesses improve uptime of manufacturing assets,  manage compliance and create competitive advantages.

MAKORO™ Force – for the Workforce of Tomorrow (WoT):

Success of digital transformation in manufacturing and supply chain is centered on workforce training and change management. When it comes to workforce, the real challenge is up-skilling operators and maintenance engineers in the areas of continuous improvement, predictive maintenance and their understanding of how the line operates. For workforce managers the skill shift lies in refocusing their managing efforts from asset management toward proactively managing their workforce. Insights and recommendations from MAKORO™ Force delivers recommendations on continuously improving workforce productivity.

MAKORO™ Tab – Recommendations delivered:

MAKORO™ Tab securely delivers insights and recommendations relevant to connected workers – operators and maintenance engineers – on portable hand-held systems as well as on the web to improve workforce productivity. It allows workers to move freely around the factory floor and focus on other core tasks such as accepting recommendations and completing maintenance requests rather than having to monitor systems and machines. MAKORO™ Tab also allows supervisors and managers to review insights and recommendations on the web, in real time and act upon them instead of poring into reports and dashboards, understand data and make decisions.
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MAKORO monitors assets and proactively provides maintenance recommendations. Such prediction reduces unplanned downtime and time taken to repair. This in turn reduces lost revenue and improves productivity.

Recommendations from MAKORO are contextual and delivered at the point they are used so they can be conveniently accessed and acted upon. For example, maintenance engineers may get recommendations related to maintenance requests assigned to them on tablets while they are moving around on the factory floor, while maintenance managers would receive cost of service recommendations on their work laptops in their offices.

Businesses use MAKORO to:

  1. Reduce unplanned downtime: MAKORO combines data from sensors with asset service history with parts inventory and workforce availability to schedule preventive maintenance for assets.
  2. Reduce workforce cost: Predictive ability in MAKORO enables businesses balance their maintenance workforce better, resulting in cost reduction.
  3. Improve quality of service: MAKORO predictively routes maintenance requests to maintenance personnel best suited to perform the job – onsite or outsourced, as the case may be. Thus maintenance personnel can ensure highest quality of service with minimal planned downtime.
  4. Improve consistency of service: MAKORO provides contextual recommendations to maintenance personnel to help them perform maintenance work on the assets with a reduced time, better quality and consistency. This results in higher mean time between failure, higher workforce satisfaction and higher customer satisfaction through better product quality.
  5. Lower cost of service: In the process of routing service requests, MAKORO analyzes workforce distribution across geographies and skillsets. MAKORO also tracks other workforce metrics. This helps businesses reduce skill gaps and set up programs for workforce improvements. This also results in optimized workforce distribution and will lower cost of service.
  6. Improve performance continuously: MAKORO allows businesses to track their customer satisfaction indices, workforce satisfaction indices and indices related to quality and cost of service. Notifications are automatically sent out when these indices change patterns.

#makoroai #codedataio #smartmanufacturing #predictivemanufacturing #contextualrecommendations