FasTrak SoftWorks, Inc. is pleased to announce the release of FTMaintenance Select v.4.6.1.0, which incorporates the following:
Solutions
FasTrak SoftWorks, Inc. is pleased to announce the release of FTMaintenance Select v.4.6.0.0, which incorporates the following:
Features
Solutions
FasTrak SoftWorks, Inc. is pleased to announce the release of FTMaintenance Select v.4.5.1.0, which incorporates the following:
Solutions
FasTrak SoftWorks, Inc. is pleased to announce the release of FTMaintenance Select v.4.5.0.0, which incorporates the following:
Features
Solutions
FasTrak SoftWorks, Inc. is pleased to announce the release of FTMaintenance Select v.3.76.4.0, which incorporates the following:
Solutions
FasTrak SoftWorks, Inc. is pleased to announce the release of FTMaintenance Select v.3.76.2.0, which incorporates the following:
Solutions
FasTrak SoftWorks, Inc. is pleased to announce the release of FTMaintenance Select v.3.76.1.0, which incorporates the following:
Solutions
FasTrak SoftWorks, Inc. is pleased to announce the release of FTMaintenance Select v.3.76.0.0, which incorporates the following:
Features
Solutions
Industrial organizations continue to invest in computerized maintenance management system (CMMS) software in pursuit of greater efficiency to increase asset reliability and reduce maintenance costs. However, the urgency of CMMS implementation often leads to organizations overlooking the importance of maintenance data quality.
As a result, bad data is entered into the CMMS from the start, disrupting maintenance operations and setting your team up for failure. In this article, we’ll examine the consequences of poor quality CMMS data and what you can do to ensure your CMMS delivers value to your organization.
Data quality generally refers to the extent to which information is fit for its intended purpose and correctly reflects the real-world entities it represents. In a maintenance management context, this means ensuring that maintenance records accurately document and reflect the true state of assets, inventory levels, and resource availability.
The quality of your maintenance data is critical for making decisions related to asset lifecycle management, maintenance scheduling, resource allocation, and other maintenance management processes. Therefore, you must ensure that you are working with high quality data. Poor-quality data makes these decisions more difficult and leads to real-world consequences. For example, a Gartner report estimates that organizations lose an average of $12.9 million (USD) each year due to poor quality data.
Recognizing poor-quality data is easier said than done. Within a dataset containing hundreds to hundreds of thousands of CMMS records, it can be difficult to distinguish the “bad” data from the “good” data. So, what is meant by “high-quality” data after all?
Data quality is measured by comparing your data to a desirable state. High-quality data is commonly defined by the following characteristics:
Maintenance data that meets these criteria provides a strong foundation for informed decision-making, ensuring maintenance teams can rely on facts rather than gut feel. This data-driven approach helps you make better recommendations and strengthens your credibility within the organization.
CMMS solutions allow you to manage several types of data, each playing a role in effective maintenance management. Understanding the types of data in your CMMS and what the data represents is essential for evaluating data quality. This knowledge helps you become familiar with what maintenance records should look like, and makes it easier to identify poor-quality data. The primary types of CMMS data include:
Asset data refers to information about your physical assets and equipment. This includes:
Work order data captures the performance of maintenance activities, including what was done, who did it, and what resources were used, among other information. Work order data typically includes:
MRO inventory data is the information related to your inventoried assets and consumables. Inventory data can include:
Labor resources are parties that provide labor for an organization, whether it is an employee, vendor, contractor, or other service provider. Examples of labor data include:
Maintenance history is a record of all past maintenance activities. CMMS solutions automatically create a maintenance history using closed work order records.
Management data provides essential insights that help maintenance managers and other decision-makers assess performance, control costs, and optimize operations. This data includes:
On the surface, a little compromised data in your CMMS may seem like a minor issue. After all, could a little bad data really be that bad? To put it simply, yes. Even small errors and inconsistencies can have big implications and lead to costly consequences. Let’s look at a few examples of this ripple effect in the real world.
Suppose an asset is entered into the CMMS multiple times under different record IDs. When users encounter the duplicated records, they choose one using their best judgment or out of convenience, which results in maintenance activities for the same asset being tracked across multiple records.
This split results in incomplete asset data, redundant maintenance events being scheduled for the same asset which wastes time and resources, and difficulty in generating maintenance reports that track asset management KPIs.
It is safe to assume that nearly every maintenance department has dealt with the consequences of inaccurate inventory data. Outdated or inaccurate stock levels can lead to too much or too little inventory, both of which present challenges for maintenance teams.
When the CMMS incorrectly shows low stock for a part, it can trigger unnecessary purchasing activity. Even though the part is actually available, reordering it results in overstock, which ties up money and takes up physical space in the stockroom. Worse yet, these excess parts may become obsolete before they are used.
On the other hand, stockouts can occur when the CMMS indicates that a part is available when, in reality, it is not. This mismatch can lead technicians to proceed with maintenance work under the impression that parts are available, only to discover they are not actually in stock. As a result, costs are incurred due to excess downtime and emergency orders with premium shipping fees. Stockouts are especially problematic for highly specialized parts, which may have long lead times for replenishment.
Organizations in highly regulated industries like food and beverage and pharmaceuticals face rigorous maintenance audits to ensure compliance with safety protocols and regulatory standards. When a CMMS contains poor-quality maintenance data, the consequences can be severe.
For example, if task information related to critical equipment maintenance is incomplete or missing, auditors cannot verify that necessary inspections or repairs took place. This lack of verification can lead to costly fines, product recalls, or even shutdowns by regulatory bodies.
Additionally, poor-quality data makes it challenging to address violations promptly, as valuable maintenance resources must be dedicated to tracking down the correct information. This delay can expose organizations to additional penalties and heightened scrutiny in the future. Continued non-compliance can increase liability, damage the organization’s credibility, and undermine its ability to do business.
As you can see, the effects of poor-quality data are far-reaching, disrupt maintenance operations, and negatively impact maintenance efficiency.
Bad data comes from various sources, but a handful of factors are responsible for most CMMS data quality issues. Understanding these sources is essential for preventing poor-quality data in the first place. Here are the top causes of poor-quality data:
People make mistakes. When data is entered by hand, there is a risk of typos, skipped fields, and other data entry errors. One study found that as much as 4% of manually entered data contains errors. Other studies have found that up to 5% of data contains errors, depending on its complexity.
While this number may seem small, consider that CMMS systems contain hundreds or thousands of records, meaning that dozens of critical maintenance records may contain inaccuracies. Not only can this poor quality data lead to misinformed decisions, it also raises doubts about the reliability of other data in the system.
Standardization refers to entering data consistently based on pre-defined rules and formats. Without standardization, CMMS data may be entered in various formats, spelling, or abbreviations, which leads to further errors and confusion. For example, one user may enter an asset number as “Pump 1,” while another user enters “Pump 001” or “P-1”. These inconsistencies make it harder to track the asset because multiple naming conventions prevent accurate search results and may cause the asset to be left out of valuable maintenance reports.
Read More: What is an Asset Naming Convention?
Whether created out of convenience or in error, duplicate records cause big problems in a CMMS. Duplication splits maintenance history across multiple records, making it difficult to track performance and costs, identify failure patterns, or schedule preventive maintenance. Because one user might be unaware of the duplicated record, maintenance activities may be scheduled more frequently than is necessary, resulting in over-maintenance and wasting precious resources.
In the context of MRO inventory management, duplicate records can cause serious overstock, as multiple records may trigger unnecessary orders for the same part. Not only does this cost money, the excess parts take up valuable space in the stockroom.
Sometimes, a CMMS solution’s design or lacking configuration options can lead to poor-quality data. For example, when essential fields for capturing maintenance data are missing, users will enter information into any other available fields, even if they weren’t intended for that purpose. Systems that lack sufficient field validation allow users to enter data in non-standard formats, creating inconsistencies.
Additionally, systems that don’t include configuration options such as mandatory fields and dropdown field customization leave the system susceptible for errors. The reliance on manual data entry without automation also significantly increases the risk of human error.
Poor-quality CMMS data can be a widespread problem, but the good news is that there are effective ways to fix or prevent these data quality issues. Ideally, bad data is caught before being entered into the CMMS. However, if poor-quality data does make its way into the system, either through direct import of legacy data or through manual entry, there are ways to address it. Below are some strategies to consider.
As the saying goes, “garbage in, garbage out.” When it comes to data quality, this means that entering poor-quality data into your CMMS will lead to poor-quality results. Therefore, organizations should prioritize data cleaning. Data cleaning is the process of identifying and fixing errors within a dataset so that it is accurate and usable. Common steps include resolving duplicate records, updating outdated information, and removing irrelevant data. For best practices on preparing maintenance data for import, check out our article Best Practices for Preparing Maintenance Data for CMMS Import.
Data cleaning is particularly important for organizations transferring data from a legacy CMMS, spreadsheet, or other in-house solution into a modern CMMS. Too often, organizations focus solely on migrating data into the new system without analyzing their existing data. As a result, maintenance teams struggle to derive value from the new system because they continue to work with flawed data.
Creating and enforcing data entry standards is vital for ensuring consistent data across the CMMS. This includes designing an asset naming convention, setting required fields, and defining appropriate formats for data, such as dates or numerical values. To help users adhere to these standards, the CMMS can be configured with required fields and field validation rules. Additionally, offering users pre-selected values instead of allowing free-form entry can further minimize errors.
Resolving data quality issues is an ongoing process. Humans are prone to make mistakes from time to time, and the software can’t realistically prevent every error. Therefore, it is important that administrators regularly audit CMMS data to ensure that standards are being followed.
Schedule periodic reviews to ensure that all assets are tracked in the system, all required data is being entered, and that users are following a consistent format. Depending on the size of your dataset, consider spot checks that randomly assess a subset of records for accuracy.
Proper training ensures that technicians can effectively utilize the CMMS and maintain high data quality. Since technicians are primarily responsible for data entry, it is critical that they are well-equipped with the knowledge and skills needed to enter good data.
Training sessions should emphasize the value of accurate data by helping them understand how their data entry responsibilities impact maintenance operations. In addition, technicians should receive thorough instructions on how to navigate the CMMS and input data correctly. Vendor-provided training, user manuals, and step-by-step guides for common tasks are valuable resources for reinforcing best practices and minimizing errors.
Learn more about FTMaintenance Select training
High-quality CMMS data is the backbone of effective maintenance management. Accurate, consistent information empowers you to make strategic maintenance management decisions that minimize downtime, improve performance, and control costs. Though maintaining data quality is challenging, the costly and widespread consequences of poor data are worth avoiding.
Implementing a CMMS, like FTMaintenance Select, presents the perfect opportunity to establish strong data quality management practices. FTMaintenance Select provides a centralized platform that helps you organize your maintenance data, making it easier to track, manage, and maintain data quality. By bringing together all of your critical asset, work order, inventory, and resource information in one place, you can ensure consistency across your data and reduce errors. With accurate, reliable data at your fingertips, you can make informed decisions that optimize maintenance operations.
Request a demo today to learn how FTMaintenance Select can provide the insights you need for successful maintenance management.
FasTrak SoftWorks, Inc. is pleased to announce the release of FTMaintenance Select v.3.75.0.0, which incorporates the following:
Features
FasTrak SoftWorks, Inc. is pleased to announce the release of FTMaintenance Select v.3.74.4.0, which incorporates the following:
Solutions
Learn more by reading our companion article How to Write an Effective Maintenance Task.
FasTrak SoftWorks, Inc. is pleased to announce the release of FTMaintenance Select v.3.74.3.0, which incorporates the following:
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FasTrak SoftWorks, Inc. is pleased to announce the release of FTMaintenance Select v.3.74.2.0, which incorporates the following:
Solutions
FasTrak SoftWorks, Inc. is pleased to announce the release of FTMaintenance Select v.3.74.1.0, which incorporates the following:
Solutions
FasTrak SoftWorks, Inc. is pleased to announce the release of FTMaintenance Select v.3.74.0.0, which incorporates the following:
Features
Solutions
Maintenance management professionals constantly face the critical question of whether to repair or replace an asset. This decision isn’t a simple routine task; each situation presents a unique case that requires careful consideration of the costs and benefits of each option. Making this decision without thorough analysis can lead to significant financial and operational risks.
In this article, we’ll explore what to consider when making repair vs. replace decisions, walk through a typical analysis, and discuss how a computerized maintenance management system (CMMS) can help you make an informed, data-driven decision.
At its core, the goal of a repair vs. replace decision is to minimize an asset’s total cost of ownership to your organization. Rushing into a decision without proper evaluation can be costly and have other long-term effects. Each option – repair or replace – comes with its own benefits and drawbacks, which makes the decision challenging.
Repairing equipment is often a cost-effective option, at least in the short term. Repairs are typically less expensive than purchasing new equipment, can be completed more quickly than sourcing and installing new equipment, and when done correctly, may extend the life of the asset. However, if you don’t address the underlying causes of failure, ongoing repairs will inevitably increase maintenance costs, lower productivity, and cause costly unplanned downtime.
On the other hand, replacing problematic equipment sometimes proves more beneficial in the long run. New equipment typically needs less maintenance in the early stages of life, offers new features that enhance productivity, and is more reliable, but requires a significant upfront investment.
Beyond the direct costs to repair or replace, one must also consider factors including:
As you can see, balancing the costs and benefits of equipment repair versus replacement is a strategic choice requiring thorough analysis. By evaluating these factors, you can make informed asset management decisions.
Many sources encourage you to start your repair vs. replace analysis using depreciation, specifically straight-line depreciation, as a rule of thumb. Straight-line depreciation spreads the cost of an asset evenly over its estimated useful life. For example, imagine a forklift truck costs $30,000 and is expected to last 15 years. It depreciates in value by $2,000 every years ($30,000 ÷ 15 years = $2,000 per year), so in year 1 the forklift is worth $30,000, in year 2 it is worth $28,000, and so on.
| Warning: It’s important to remember that accounting depreciation, including straight-line depreciation, is designed for tax and financial reporting purposes, as outlined by Internal Revenue Service (IRS) guidelines. These guidelines are meant to standardize how assets are depreciated for tax compliance purposes, but do not necessarily reflect actual equipment performance. As a result, accounting depreciation and the depreciation estimated by the maintenance team may not match. |
Suppose there is a transmission failure in year 12. By year 12, the forklift has lost $24,000 in value (12 years × $2,000 per year = $24,000) and now has a value of $6,000 ($30,000 original cost – $24,000 depreciation = $6,000 remaining value), and is expected to last just 3 more years. A vendor quotes you $4,000 to rebuild the transmission, and you discover that a new forklift costs $35,000.
Using straight-line depreciation as your guide, you can see that the forklift’s value is relatively low, and that the cost to repair is a significant portion of that remaining value. Now comes the critical question: do you repair it or replace it? To answer that question, further analysis is needed.
Let’s explore the business case for both the repair and replace options using our forklift example from earlier. To recap, the forklift is worth $6,000 and has an estimated 3 years of useful life remaining. A transmission rebuild is quoted at $4,000 and the forklift costs $35,000 to replace.
Depending on the nature of a given repair, you must determine whether value will be added back to the asset in terms of performance and useful life. In this case, we must determine whether the repair will extend the forklift’s useful life.
For example, suppose you determine that rebuilding the transmission allows the forklift to fulfill its remaining 3 years of useful life. Your $4,000 in maintenance costs allows you to maintain the forklift’s operation, but does not add any new value or increase performance.
Alternatively, if you estimate that the transmission rebuild will enhance performance and extend the forklift’s useful life by an additional 3 years, the situation changes. The $4,000 repair allows the forklift to operate for another 6 years total (3 remaining useful years + 3 extended years) and you avoid the significant cost of replacement.
A common rule of thumb in repair vs. replace decisions is the “50% rule.” This guideline suggests that if a repair costs more than 50% of the cost of replacement, it is more cost-effective to replace the asset. Some organizations use a different threshold, such as the United States Marine Corps, which uses a threshold of 65%. In our example, the cost of replacement is $35,000, and 50% of that is $17,500. The repair cost is only $4,000, suggesting that repair might be a good option.
It is important to recognize that the forklift may require other significant repairs (and as a result, downtime) as it approaches the end of its lifecycle. Future maintenance and operational costs will impact your total cost of ownership and should be weighed in your repair vs. replace decision.
For example, assume that the forklift’s annual maintenance cost under normal operation is $800, and costs are expected to increase by 10% each year. By the end of its 3 remaining years of useful life, you’ll incur another $2,648 in routine maintenance costs ($800 in the third-to-last year + $880 in the second-to-last year + $968 in the last year = $2,648), barring any additional major repairs. These standard repairs do not add new value to the forklift truck, and now the remaining total cost of maintenance over the 3 years is $6,648 ($4,000 + $2,648 = $6,648), compared to its current value of $6,000.
If the lifespan is extended to 6 years, the ongoing maintenance cost becomes $6,172 ($800 + $880 + $968 + $1,064 + $1,171 + $1,288 = $6,172), again barring any major repairs. Add this to the cost of the transmission rebuild, and you’re in for $10,172 ($4,000 + $6,172 = $10,172), which is about 30% of the cost to replace.
Replacing the forklift requires an upfront capital investment of $35,000, which is more than 8 times as much as the repair. However, the new forklift is expected to last for 15 years, which is an additional 9 – 12 years compared to the repaired one. Newer equipment typically has lower maintenance costs in their first few years, leading to lower maintenance costs. Additionally, any new technology, improved design, and advanced capabilities may make the new lift more productive compared to the current one.
Gaining buy-in for your repair vs. replacement recommendation can be challenging without solid evidence to back you up. A CMMS provides you with the data you need to build a strong business case and justify your decision. Here’s how a CMMS can help:
The decision to repair or replace an asset directly impacts your organization’s operational efficiency and financial performance. Making these decisions without a thorough analysis can lead to costly mistakes that strain your budget and jeopardize plant productivity. A CMMS solution, like FTMaintenance Select, provides you with critical maintenance data needed to make these decisions with confidence.
FTMaintenance Select is a centralized platform for managing all aspects of your maintenance operations including work orders, equipment and facility assets, spare parts and inventory, preventive maintenance, and more. Request a demo today to learn more.
FasTrak SoftWorks, Inc. is pleased to announce the release of FTMaintenance Select v.3.73.0.0, which incorporates the following:
Features
FasTrak SoftWorks, Inc. is pleased to announce the release of FTMaintenance Select v.3.72.0.0, which incorporates the following:
Features
FasTrak SoftWorks, Inc. is pleased to announce the release of FTMaintenance Select v3.70.3.0, which incorporates the following:
Solutions
FasTrak SoftWorks, Inc. is pleased to announce the release of FTMaintenance Select v3.70.2.0, which incorporates the following:
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Key Takeaways
Plastic products play a critical role in our daily lives, ranging from simple household items like toothbrushes and combs, to cutting-edge technology like 3D printing. With an estimated global market value of $712 billion (USD), the high demand for plastic products highlights their importance across various consumer and industrial markets.
To keep pace with current demand and expected growth, plastics manufacturers must invest in effective maintenance strategies and technologies such as computerized maintenance management system (CMMS) software. In this article, we will explore maintenance management challenges in the plastics industry and how a CMMS helps ensure efficient maintenance operations.
Maintenance management is a critical component of plastics manufacturing, ensuring that equipment remains productive and profitable. However, there are several maintenance challenges that characterize the plastics industry. The sections below discuss some of the most common.
Maintaining injection molds is challenging due to their strict durability requirements and the precision of care needed to manage them effectively. These molds can be incredibly costly, often $80,000 or more, in addition to the cost of the injection molding machines themselves. Organizations must minimize mold wear and tear through targeted maintenance while working within the constraints of the production schedule and tool and die team.
Coordination with the tool and die team adds another layer of complexity to maintenance in plastics manufacturing. The tool and die team is responsible for designing, building, and repairing the molds, and has specialized knowledge and skills critical for maintaining production quality. The overlap in responsibilities between the general maintenance team and tool and die team often leads to challenges in balancing competing priorities and coordinating access to maintenance resources.
Further, miscommunication between maintenance and the tool and die teams may influence the production team’s operations. If maintenance tasks are scheduled during critical production runs or repairs aren’t completed on time, there may be unnecessary downtime, higher maintenance costs, or quality issues.
Given the high volume of products produced in plastics manufacturing, even minor equipment issues can lead to significant quality control issues. The maintenance team plays a critical role in ensuring plastic products meet stringent requirements and customer expectations.
Equipment must be kept in good working condition to eliminate defects such as surface imperfections, warping, cracking, or other inaccuracies. This requires the maintenance team to implement process control measures that include regular calibrations, condition monitoring, and preventive maintenance, which is challenging with limited resources.
Maintaining consistent quality control also becomes difficult when investigating the origin of product defects. Conducting thorough root cause analysis (RCA) is essential, but can be complex, time-consuming, and must be balanced against other immediate needs.
Environmental conditions within the plastics manufacturing facility also pose significant maintenance challenges. The high temperatures and pressures from plastic molding and extrusion processes put considerable wear on equipment, increasing the risk of failure. Avoiding these outcomes requires tight control of asset lifecycles and maintenance practices to ensure optimal performance.
Depending on your geographic location, humidity may also play a role in equipment maintenance. Excessive moisture can be absorbed by plastic materials and result in defects. Moisture that sits on equipment surfaces can corrode molds and metal components, compromising their integrity. Maintenance teams must take measures to control the temperature and humidity levels in manufacturing spaces.
Additionally, equipment is vulnerable to damage from fine plastic particles created during production. These particulates can enter machinery, causing abrasions and damaging sensitive components. While machine operators typically handle routine cleanings, maintenance teams are responsible for disassembly and deep cleaning during scheduled downtime periods.
Just as in other manufacturing environments, the degree of communication between maintenance and production teams can present considerable challenges. Production teams expect equipment to run at peak performance and support smooth, continuous operation in order to meet production goals and deadlines. The maintenance team is often blamed if equipment fails or experiences unplanned downtime.
On the other hand, maintenance teams can struggle to gain access to equipment for repairs. Tight production schedules leave small windows open for maintenance, and any downtime can be seen as jeopardizing production quotas. This lack of access makes it difficult to perform necessary preventive maintenance, leading to the risk of more sever breakdowns and extended downtime.
Overcoming the maintenance challenges of plastics manufacturing requires a robust maintenance strategy. Computerized maintenance management system (CMMS) software provides the tools needed to meet these challenges head-on and better manage your maintenance operations. Below are some ways that a CMMS benefits the plastics industry.
A CMMS provides robust asset management features essential for tracking molds and plastic manufacturing equipment. It allows you to keep detailed records on all maintenance assets, including their specification, condition, availability, usage, and maintenance history. Using this information, you can manage asset lifecycles more effectively and ensure each piece of equipment receives the attention it needs.
In industries with high production volumes like plastics manufacturing, time is money. The consequences of downtime make reactive maintenance strategies unsustainable. The maintenance planning and scheduling features of a CMMS empower you to be more proactive about maintenance management.
CMMS software allows you to create a master preventive maintenance plan for all of your production assets, ensuring that routine maintenance is performed on time. Tasks lists allow you to define exactly what needs to be done, what materials and supplies should be used, and approximately how long routine tasks should take, leading to more consistent, quality maintenance. Work orders can then be triggered using time-based or runtime-based intervals, ensuring maintenance occurs when needed.
Some CMMS systems take proactive maintenance a step further and connect with condition-monitoring sensors. This integration supports advanced maintenance strategies like condition-based maintenance (CbM), which triggers work orders based on real-time equipment conditions, and predictive maintenance (PdM) which forecasts when equipment is expected to fail. These strategies allow you to perform maintenance only when it is needed, unlike with time-based maintenance practices.
Successful maintenance management in the plastics industry relies on effective communication and collaboration between the maintenance, tool and die, and productions teams. A CMMS ensures that the general maintenance team and tool and die team have access to the same maintenance information about production equipment and can work together to prioritize repairs and coordinate resources.
CMMS solutions also include a work request portal that allows non-maintenance employees to submit service requests directly to the maintenance team. With this feature, the production team can submit requests, check request status, and be automatically notified when requests change status or are completed. This level of transparency makes everyone aware of when maintenance will occur and creates a more collaborative relationship between maintenance and production.
Using a maintenance tracking system enables you to leverage historical maintenance data in order to diagnose why equipment failed. CMMS solutions automatically create a service history for each asset, providing you with a wealth of data that can be used to identify failure trends, track reliability following repairs, and generate maintenance management reports that reveal key insights about asset performance. This allows you to move beyond treating symptoms and address the root causes of breakdowns, thereby preventing the likelihood of the problem recurring.
Read Also: What is a Failure Code?, What is a Cause Code?, and What is a Remedy Code?
The plastics manufacturing industry faces many maintenance management challenges that significantly impact production, product quality, and overall profitability. Given the importance of plastics in our lives, organizations that fail to tackle these challenges may find it difficult to maintain consistent production.
Now is the time to modernize your maintenance operations and invest in a computerized maintenance management system (CMMS) like FTMaintenance Select. FTMaintenance Select provides robust tools for managing assets, inventory, preventive maintenance, and work requests. Leveraging this platform, you can implement proactive maintenance strategies that will reduce downtime, ensure consistent production, and set you up for long-term success. Request a demo today to learn more.
Read More about FTMainenance Select benefits for the plastics industry
FasTrak SoftWorks, Inc. is pleased to announce the release of FTMaintenance Select v3.67.1.0, which incorporates the following:
Features
Solutions
Learn more by reading our companion article 4 Inventory KPIs to Improve MRO Inventory Management.
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