MRO for a more connected enterprise

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MRO Supply Chain Assessment

At SDI, we believe strongly that your entire enterprise benefits from a more holistic approach to MRO. Let's talk about how our MRO Supply Chain Assessment will help you get a better understanding of what is happening in your facilities from an end-to-end perspective. After some initial qualification, we conduct site tours of a representative sample of your facilities, gather data for analysis, conduct interviews with key stakeholders--and analyze all of the information to let you know what is going well and identify opportunities for improvement. We'll make recommendations on how to connect it all to your enterprise for an MRO supply chain that really works for you.

Focusing on critical areas, and all stakeholders impacted:

Data Management

Increase visibility and consistency for anyone who touches data – maintenance, planners, receiving, sourcing, procurement, inventory

Enterprise Asset Management

Drastically reduce unplanned downtime for your maintenance and engineering staff through parts availability

Source to Pay

Streamline the process to directly impact sourcing, procurement and accounts payable

Technology

Ensure visibility, efficiency and control by evaluating technology, integration and interdependence in a single platform

Receiving / Storeroom

Ensure parts availability to support reliable maintenance and production through process and technology for inventory management

Change Management

To guide all stakeholders smoothly through the process of awareness, alignment, acceptance and adoption of critical change initiatives

Fill out the short form below for a no-obligation MRO Supply Chain Assessment.

Success Story

It is important for my MRO supply chain provider to have a general understanding of my business--SDI knows my business from end to end.

SDI at Work

Data standardization is part of Google’s new initiative to help people find relevant datasets.  With a recent study from Data Science Central, it’s estimated that data scientists spend 60% of their time preparing data for analysis, rather than performing the analysis itself.  Therefore, the goal of this schema is to drive standardization so that more time can be spent analyzing it.