• Conduct regular data audits to assess the current stock levels of warehouse materials.
• Identify slow moving or obsolete items during these audits.
• Identify Same Materials stocked in different places with different Material code and descriptions.
• Identify Materials stocked and not used for more than 5 years.
• Consider selling or donating items that are no longer needed.
• Immediately Scrap, if any material no longer be used.

• Improve your demand forecasting processes to better predict the actual need for raw materials, consumable materials and spare parts.
• Use historical data, market trends, and production schedules to refine and redefine forecasts.

• Maintain open relationship with suppliers to adjust orders based on actual production requirements.

• Adopt a just-in-time inventory system for materials to minimize excess stock.

• Constitute minimum and maximum inventory levels for critical parts.
• Implement automated systems to trigger reorders when stock levels reach minimum predetermined thresholds and investigate if it reaches maximum.

• Explore the use of Vendor Managed Inventory where suppliers/vendors monitor and manage predefined stock levels on your behalf.
• This will improve efficiency and reduce the risk of overstocking.

• Implement a centralized inventory management system to review, track and control stock levels.
• Utilize technology to automate inventory tracking and ordering processes in the best possible way.

• Establish a clear returns and exchanges policy for all the direct and Indirect material.
• So that excess stock can be managed by returning of unused items.

• Regular check and audit by MRO experts on the overall data is must.
• Regular Meeting to be conducted and feedback from different department involved in the inventory management process should be discussed and changes must be made if needed.

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The MRO Data Excellence Framework is a set of best practices and guidelines for managing in an organization. It is designed to help all functions ensure that their data is accurate, complete, and up-to-date across ERP / CMMS / EAM systems.

Major components of MRO Data Excellence Framework

• Accurate and complete data: This means having a comprehensive and reliable set of data that is as per ISO 8000鈥痙ata quality standard and free from any errors.
• Data Standards and Industry specific Taxonomy: a well-defined data taxonomy can ensure to cover a wide range of data parameters including data formatting, naming conventions, classification, category and many more.
• Robust data governance: Defining Policies, procedures, and controls to ensure data integrity, security, and availability.
• Data quality management: This involves implementing processes and tools to regularly assess, monitor, and improve the quality of the data.
• Data integration and interoperability: Integrating data from multiple sources and systems and ensuring that the data can be easily shared and accessed by different stakeholders.
• Data analytics and reporting: using advanced analytics and visualization tools to extract insights and trends from the data, and to provide meaningful and actionable reports to supply chain, procurement and maintenance activities.

Role of Data Governance in Data Excellence Framework

One key component of the MRO Data Excellence Framework is data governance. This involves establishing clear policies and procedures for managing MRO data, including how it is collected, stored, and used.

A robust data governance system ensures:

• Defining roles and responsibilities for data management within the organization
• Designing Implementing an industry specific data taxonomy
• Establishing processes to meet the ISO 8000 data quality standard
• Setting standards for data formatting and naming conventions
• Establishing clear policies and procedures for managing MRO data
• Developing a system for tracking and documenting data changes and updates
• Assuring appropriate permissions and safeguards are in place to control and secure data edit privileges

It is important to note that while data governance is a crucial component of the Framework, it is not the only one. Other components, such as data quality, integration, and reporting, are also essential for ensuring that MRO data is being used effectively to drive business value. However, if the data itself is of poor quality or is not properly integrated with other systems and processes, it will not be able to provide the insights and value that the MRO team is seeking. Similarly, robust reporting and analytics capabilities are necessary to extract meaningful insights from MRO data. Without the ability to analyze and interpret the data, it will be difficult for MRO teams to make informed decisions and optimize their operations.

Talk to one of our MDM specialists today to learn how you can implement MRO Data Excellence Framework at your organization and drive business value.

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Though the process seems simple, it鈥檚 not. Industry specific taxonomy, best data classification practice, specialized data workflows, and data cleansing experts are required to cleanse mass MRO data across . The idea behind material master cleansing is to keep data files in order. The files should be accessible across the organization without any errors. This is why, MRO data cleansing companies recommend timely data audits, accurate classifications and the best data cleansing processes to enrich the master data management strategies of their clients.

The need for MRO data cleansing

It鈥檚 critical to maintain reliable data quality for the smooth functioning and success (or failure) of an organization. This is specifically true for manufacturing, processing and asset-intensive organizations looking for optimum value generation.

• As firms scale up, an increase in the complexity of digital and inventory data throws up new challenges that require adept handling of the material master.
• Inferior data quality may result in unusable and unreliable data, lack of spend visibility, ownership issues and junk accumulation.

MRO data cleansing specialists help you identify gaps created by sub-standard processes, obsolete technology, major organizational changes and manual MRO data handling processes to ensure more effective Master MRO data management. For instance, a robust taxonomy system in a can help segregate spare parts that are food grade and nonfood grade to reduce risks and streamline asset performance.

Benefits of MRO data cleansing

The consequences of removing the inefficiencies of low data quality are many:

• Structured and unified MRO data will curb the high costs of impulse purchases/spot buys
• Reduced equipment downtime and stock-out of critical parts
• More informed preventive maintenance decisions and intelligence sharing of maintenance operations
• Effective procurement of inventory, materials handling operations and Inventory optimization
• Successful part searches and MRO item identification
• Efficient sourcing strategies and enterprise risk mitigation
• Better maintenance systems performance, MRO supply chain optimization, and process compliance

Tasks performed during MRO data cleansing

• Rationalization/ Normalization of descriptions with noun-modifier pairs
• Determination and removal of MRO data duplicity
• Use of correct data dictionaries for product description
• Accurate extraction and filing of attributes
• Application of reliable information for data management, enhancement and validations

Cleansing MRO Master Data with 扣扣传媒!

Are you worried about duplicate entries, missing information of MRO parts, inconsistent classification and a difficult EAM system? Get rid of bad master data and ineffective coding structures. Upgrade your materials master via smart data cleansing initiatives. Connect with 扣扣传媒 to get the best results from your MRO data, today.

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The client has mines in North, Central and South America, the client holds a significant share in gold, supplies across the globe with multiple mines.

The major challenge for the client is their supplier have been supplying the MRO parts with multi-year contracts, yet not been able to identify what make, model they are purchasing, barring just the generic part category e.g., a bearing, or a gasket, or a belt without specifications.

扣扣传媒 estimates that the company may have been purchasing items that would already be available in their warehouse, and from the data analysis, this percentage we believe will be higher than normally present. All the while the company was making 鈥榩rocurement and spend鈥� decisions basis the data they had, and during the engagement they discovered that 鈥榯hey do not know what they are buying鈥�.

The approach to address this challenge is by working on that data in phases 鈥� by site, by category, which is critical for the success of the project. During the engagement we understood both from the data and the client that the origins of this challenge is due to 鈥� multiple formats, multiple systems, multiple bad actors, and acquisitions. This caused them to rethink their entire procurement strategy.

Also put forward an important question 鈥� 鈥楬ow is their risk with managed?鈥� The managed MRO Data offering includes 鈥� Data Enrichment, Classification, Real-time integration, and ongoing governance. The entire package is enabled with a combination of an online platform 鈥� Partlinq庐, to automate workflow management 鈥� and a dedicated team of MRO Engineers, Data Catalogers, ERP Material master specialists.

鈥淎t 扣扣传媒, we aim to address two critical aspects for the company viz., Reduce risks and Reduce procurement costs. And to achieve this, we begin with delivering good quality data which is cleansed, classified, enriched, and by eliminating duplicates鈥�, says Joseph Santosh 鈥� Head of Partnerships & Solutioning, 扣扣传媒.

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The Client was in the process of designing a new competitive product for the American market and required nonlinear analysis for the rubber component, as material properties for rubber are complex and require mandatory checks under various load conditions. The Client then floated the requirement amongst various engineering partners, during the evaluation of the partners, 扣扣传媒 interacted with the Client and demonstrated in-depth domain expertise that helped build the Client鈥檚 confidence. 扣扣传媒 proposal highlighted the team鈥檚 expertise and on schedule delivery, hence the Client partnered with 扣扣传媒 to execute the project. After the stipulated delivery was made, the Client was expressed its pleasure with the quality of execution and commitment shown by the team.

扣扣传媒鈥檚 Business Head, Product Engineering mentioned, 鈥淓very time a new client comes on board, the team collaborates with energy and zeal to lay the foundation of a great long standing relationship. Every new project brings in a wave of spirit and enthusiasm that gets reflected in our output. The same happened with this Client. The Client was impressed with our delivery pace and quality. The experience has helped the 扣扣传媒 team to further grow their skillset and we now have a satisfied client who has confirmed that they would be utilizing our services on long term basis.鈥�

For more information about the wide range of services provided by 扣扣传媒, visit enventure.com

About 扣扣传媒 Technology Services

扣扣传媒 Technology Services (enventure.com) is a privately-held, ISO 9001:2008 certified engineering solutions company, with full-fledged engineering service delivery center in India. 扣扣传媒 has been serving clients in North America and Europe since 1997 and is today a preferred supplier of engineering services to Fortune 500 companies, across different industry verticals such as Hi-tech electronics, Medical device manufacturers, Oil & Gas, Automotive and Heavy machinery. 扣扣传媒 provides a wide variety of services to its clients, in areas such as Electronic Design, PCB Design, Plant Design Engineering, Piping Engineering, Mechanical design, CAD, CAM, CAE, Technical Documentation, Component Engineering and Environmental Compliance Support.

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E-mail: unni.mecheeri@enventure.com

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