The client is a stand-alone, metallurgical coal producer based in North America. Their surface mine operations produces over 10 million tonnes annually. The client has a great reputation amongst the global steelmaking sector for the highest quality metallurgical coals. The client is known for hard coking coals used by steel producers and coke makers worldwide.

The objectives of this engagement are:

• To develop a (RCM)Strategy using FMECA techniques for improving the OEE of the assets with a focus on improving and sustaining maintenance and reliability; that follows the client’s Maintenance and Reliability Philosophy and Asset Lifecycle process.
• To engage operations, maintenance, and engineering teams in collaboration and to establish focus client’s resources to do the right work, on the right equipment, at the right time, based on criticality and importance to business objectives.
• Ensure utmost plant reliability and asset availability
• To provide training for employees focusing on Best Practices in Maintenance and Reliability

�ۿ۴�ý’s comprehensive solution will provide the client with:

• Pre-work, Planning & Training: Defining standards for all the data collected from various sources and plant locations.Identify key stakeholders and determine their roles and responsibilities.Provide maintenance and reliability awareness sessions and conduct training on Reliability processes and techniques for key stakeholders in plant operations and asset management.
• Master Equipment List (MEL): Review the existing master list and develop a classification system and data standard for all equipment. �ۿ۴�ý will provide a List of Values, along with creating specification sheets/templates and generate Damage Codes and the resultant hierarchy for all equipment.
• Asset Criticality Ranking: �ۿ۴�ý will incorporate the corporate criticality standards and develop a Criticality Ranking methodology and ranking criteria for all equipment across multiple plant locations.
• Bill of Material Development: Create “Planner BOMs” for all of the equipment to ensure proper work planning and validate the current BOMs assigned to the equipment and add/remove parts as required.
• Material Master Harmonization: �ۿ۴�ý will review, standardize, enhance, and update material master data standards; to properly define a material master record for both OEM and MRO parts.
• Material Stocking Strategy: �ۿ۴�ý will design a comprehensive methodology by adopting the best tools to evaluate and provide risk-based stocking level recommendations for all items on BOMs developed.
• Maintenance & : �ۿ۴�ý will facilitate the development of Reliability Strategies for all plant assets using a combination of RCM, FMECA and templating RCM methodologies to determine the appropriate maintenance tasks. Also, identify regulatory requirements for all assets including Mechanical Integrity Requirements, Safety Instrumented Systems, and Interlocks.
• PMs and Work Instructions: �ۿ۴�ý will validate existing maintenance tasks and develop proactive tasks based on the results of the Reliability Strategy Development. This activity is followed by establishing proper task sequencing to edit, delete or create Maintenance Plans, Maintenance Items, and Tasks lists.

Kiran Sivadas, EVP, �ۿ۴�ý said, “Asset Lifecycle management in an asset-intensive industry has always been a challenging task. Our plan is to ensure effective assistance to the client in enhancing plant reliability and asset availability. We are helping the client to co-create reliable plant operations, asset availability and derive the maximum ROI from their CMMS Systems.

About �ۿ۴�ý:

�ۿ۴�ý Engineering (enventure.com) is a privately-held, ISO 9001:2015 & ISO 27001:2013 certified Engineering and Supply Chain Solutions company, with full-fledged delivery centers in India. �ۿ۴�ý has been serving clients in North America and Europe since 1997 and is today a preferred supplier of engineering and master data management services to Fortune 500 companies, across different industry verticals such as Hi-tech Electronics, Oil & Gas, Water Treatment, Automotive and Industrial Manufacturing. �ۿ۴�ý provides a wide variety of services to Clients, in areas such as Plant Design Engineering, Building Engineering, Master Data Management, MRO Data Services, Component Engineering, Environmental Compliance Support and Product Design.

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The major changes in the plant that affect the data integrity are operational changes that are implemented and Process changes. Changes in machine parameter settings, the addition of data into the system like work order history, predictive/preventive maintenance results, all these create new data or replace the existing data. Asset data is dynamic and it is important to understand the process that address data integrity at all levels. How can we expect accurate business decisions if the information received is inaccurate, out of date due to failure to keep up with the dynamic changes that impact the assets? To have an accurate and timeliness in data, you need to pay careful attention to the assets’ lifecycle and the data that is changed during the assets’ life cycle.

Data accuracy leads to effective work, increased reliability, improved safety, and environmental performance. All these aspects of the business are directly linked to the profitability of the organisation. Maintaining data integrity is not just the responsibility of stores or maintenance supervisor. It is a shared responsibility throughout all executive levels including the CEO.

Organization wide awareness to be created on the value of maintaining accurate data and the downside of not maintaining it is understood, there needs to be something done about it.

Need to make the data integrity -whether entry of new asset or upgrading existing data -a part of every project and every work initiative. This approach makes the data integrity everyone’s job. To have optimum data integrity, the roles and responsibilities should be clearly defined, and the overriding data process is clearly mapped. A robust data management process ensures data integrity and continually demonstrates the value of data integrity.

What are the key elements to ensure data integrity

1. Data modelling frame work
2. and architecture
3. Robust processes with people accountability
4. system

Our MDM services ensure data integrity of the data architecture.

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