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Showing posts with the label OEE

How Spare parts management can boost OEE

Spares Management The ability to ensure the availability of the equipment through maintenance interventions, corrective or preventive, depends on the presence and maintenance of an adequate stock of spare parts. It is not exaggerated to consider the unavailability of spare parts as the responsible for 50% of the total down time of a system subject to failure. Of course, the stock levels of the various spare parts depend on the maintenance policies adopted and it represents itself a potential maintenance policy. This is the reason that put the spare parts management at the top priority for any company that want to improve the OEE of the production asset, to have a clear TCO of the machines and to optimize the working capital on spare parts. What is Spare Parts Management? Spare Parts Management is all about maintaining the relevant parts stock in the appropriate location adhering to quality, at optimal cost and available at the right time. This ensures that the efficiency and operating

Why Predictive Maintenance with AI, ML and IIOT is the trend for future

The process of maintenance over the years has evolved based on the circumstances and the technological advancement in the manufacturing process. When the manufacturing process started to invest in machineries and equipment to take over from the manual process, the maintenance concept was limited to maintain the equipment once it breaks down. Over the years as manufacturing process started to use new technologies and increase in production activity, the maintenance concept shifted to planned preventive maintenance. The objective is to achieve maximum efficiency (OEE) in production and to drive major cost savings in maintenance. Today, preventive and predictive maintenance planning is the norms in industrial equipment maintenance process and it is a standard condition to stay competitive in the market.  To execute any maintenance strategy several software tools help to reduce the manual errors, lethargy in scheduling of maintenance activity, creating maintenance notifications and recordi

6 steps to implement the Total Productive Maintenance (TPM)

With introduction to the foundation (5-S system) and 8 pillars on which the TPM process is built , the implementation of TPM program needs to be understood. This is generally done in 6 steps: 1) share your plans with the entire organization 2) identifying a pilot area, 3) restoring equipment to prime operating condition, 4) measuring OEE, 5) addressing and reducing major losses, and 6) implementing planned maintenance. Step 1: Share your plans with your entire organization Implementation of TPM starts with introduction of the program, creating awareness and understands the objectives and value it generates within the organisation. But above all it’s critical that management and supervisors grasp the importance of proper TPM procedures. If managers promote, introduce, and adopt a certain way of working, then shop-floor personnel will generally embrace plans much faster. Step 2: Identify a Pilot Area Identifying a work area, or a plant, or an equipment where the production process operat

The 8 pillars of Total Productive Maintenance

The Total Productive Maintenance Total Productive Maintenance (TPM) is a system of maintaining and improving the integrity of production, safety and quality systems through the machines, equipment, processes, and employees morale and job satisfaction that add business value to an organization. The dual goals of TPM are zero breakdowns and zero defects; this obviously improves equipment efficiency rates and reduces costs. It also minimises inventory costs associated with spare parts.  Total Productive Maintenance (TPM) was developed by Seiichi Nakajima in Japan between 1950 and 1970. This experience led to the recognition that a leadership mindset engaging front line teams in small group improvement activity is an essential element of effective operation. The outcome of his work was the application of the TPM process in 1971. Nippon Denso (now Denso), a company that created parts for Toyota, was one of the first organizations to implement a TPM program. This resulted in an international

A comparison between SAP PM and CMMS

A comparison between SAP PM* and CMMS  *R ecently the SAP PM modules has been reviewed and reinforced with new functionalities becoming SAP EAM (SAP Enterprise Asset Management). In this article, I will use SAP PM and SAP EAM referring to same SAP module. Industries across the globe use different software and tools to manage various business processes within the organization including accounting, human resources, purchasing, production and maintenance. Some may use different standalone tools for each purpose and some may use an integrated package like an ERP to manage all purposes. One of the most popular ERP is SAP, and SAP PM is the specific module used to manage and run maintenance in an industry. In addition, on the shelf, there are available many CMMS software for the maintenance management. The choice of SAP, CMMS and other in-house software to manage maintenance activities depends on many factors. SAP PM (for those that run SAP) and various vendors of CMMS are used commonly in t

Overall Equipment Effectiveness, high performance gain and data analysis

Overall Equipment Effectiveness Overall Equipment Effectiveness OEE is a “best practices” metric that identifies the percentage of planned production time that is truly productive. An OEE score of 100% represents perfect production: manufacturing only good parts, as fast as possible, with no downtime. OEE is useful as both a benchmark and a baseline: - As a benchmark it can be used to compare the performance of a given production asset to industry standards, to similar in-house assets, or to results for different shifts working on the same asset;  - As a baseline it can be used to track progress over time in eliminating waste from a given production asset (leanproduction.com, 2020). OEE is a percentage metric (%) and is calculated by the simple multiplication of three factors: Availability   X   Performance   X   Quality   =   OEE Below we describe and detail every single factor that influences this important production indicator. Factors having an impact on OEE - Avail