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iyarpage · 6 years

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Predictive Maintenance as Business Driver

When the sensor calls

It is like a dream come true.

Running factories with hundreds of machinery for forging, cutting, melting, extruding, all monitored continuously 24/7 by many more sensors. Gigabytes of data streamed directly in the cloud. Every alteration in the production is detected: vibration, temperature, pressure are measured and processed by AI. Eventually, a signal will trigger the red alarm: failure in 42 days, maintenance required. No downtime, no unforeseen costs, a boost of production. This is the Predictive Maintenance world, and every production asset, from chemical plants, to your own washing-machine will never, unexpectedly, break again.

Or, at least, this is the dream.

The aim of Predictive Maintenance (PrM) is to timely identify anomalies, and indicate a safe interval of time to perform the necessary repair. Figure 1 shows a typical component lifecycle, where an indicator of the component’s health is plotted on the y-axis against time. This scheme is useful to see the advantages of Predictive vs Preventive Maintenance (PvM) vs Repair to Failure (R2F). In Figure 1, three different sectors, identified by numbers, can be noticed and each one represents a component cycle from the initial deployment (healthy status) until the failure or the repair.

Figure 1. An inspection report. Dashed lines identify maintenance events, intervals are numbered from 1 to 3. The component degradation is random. From this data, one would start a Preventive Maintenance (PvM) scheme choosing the smallest life-cycle, interval 3. This would certainly result in unexploited resources. A Repair to Failure (R2F) scheme would, conversely, exploit all the available resources, yet producing unplanned downtime. A Predictive Maintenance (PrM) scheme would suggest an optimal repair time window to minimize the unexploited time and resources, avoiding unexpected downtime.

In the R2F strategy, the whole component life is used, e.g. a repair is performed only at failure, causing downtime and unpredictability. A preventive strategy would be implemented with calendar-based inspections at a frequency that is the shortest experienced component life-cycle (e.g. in Figure 1 the time interval identified with the number 3), resulting in sub-optimal exploitation of machinery lifetime.

A predictive strategy outperforms the precedent ones in terms of increase in resource utilization and decrease of repair frequency, for example in intervals 1 and 2. An interesting case happens in interval 3, when the component experiences a fast degradation and the time window from the identification of the failure to the predicted failure is very short (few hours). Well, in this case, extra costs for unplanned maintenance would be likely to occur, whatever the strategy is. Nevertheless, PrM would result in shorter or null downtime, and would also give the necessary time to take actions to exclude secondary damages (such as changing the production speed).

The supremacy of PrM over other strategies makes it very attractive. Truth is, that the path to the adoption of a Predictive Maintenance strategy is complex, and many factors affect the success of its design/deployment, such as:

Uncertainties in production

Data quality/preprocessing

Availability of failure data, past maintenance scenario

Complex feature engineering, domain-specific knowledge

Robustness, please!

Let’s start analysing the most hindering fact: uncertainties are unavoidable. Lack of knowledge, the so-called epistemic uncertainty, and aleatory variability, like ambient noise, human error, black-swan events, make every model questionable.

For example, machinery usually works under noisy conditions that influence the data obtained from sensors. Of course, noises can be filtered out by applying signal processing methods. But an important distinction is that noises which are of additive nature, let’s say they are superimposed to the sensor data, are easily detected and filtered. out. Conversely, there are noises which are tightly connected to the data we want to process, e.g. multiplicative noises, that are more difficult to identify and preprocess.

Other sources of uncertainty might come from sensor deterioration, human error, variability in the mechanical properties, an so on.

The model we use for the identification of the component health state, and consequently its degradation is then almost never certain. Quoting Georg Box, famous statisticians:

Essentially all models are wrong, but some are useful.

In this context, as uncertainty is unavoidable, there is no other rational option than having models which embrace it. These are useful, and let me add, reliable and robust models.

The payoff is not of philosophical nature. It is a revelation that is a business driver: predictive maintenance strategies that account for uncertainty of the prediction are robust. And this, in turn, gives the possibility to deliver robust business specific indicators for decision makers.

But how do we design such robust strategies? What are the key factors for delivering reliable results? How to calculate the costs and the risks? And how the benefits?

The approach we sketch in this article is based on three keystones:

The analysis of the data

The cost-benefit oriented design

The iterative deployment

In this article we skip the many technicalities with the aim to focus on the conceptual framework for a robust maintenance design.

The origin of everything: The data

Predictive maintenance strategies are based on algorithmic intelligence which monitors the health of an asset, be it a small component or a whole system of many components.

At the origin of the maintenance design there is a classical data flow process: Data collection, pre-processing, features extraction, information extrapolation and prognostic. But which data? Just sensor output? No, not necessarily.

The algorithms learn to discern a healthy from an altered state, caused by some potential anomaly. In general, all available information, structured or unstructured can be used to train the algorithm.

Four data scenarios are encountered in practice.

Streams of data are available.Classification algorithms can be used to find patterns that indicate component or system degradation. With the increase of source inputs, dimensionality reduction techniques are required to find the most significant features. Time series forecasting plays a fundamental role in this case, as well as signal preprocessing, resampling, feature extraction.Classification based on Machine Learning techniques are easier to be interpreted with respect to AI ANN, GAN etc, due to the black box intrinsic nature of the latter. Yet, it must be remarked that there are research progresses in the direction of interpretability of AI results .

Experimental data is available. It is very desirable, yet not strictly necessary, to have experimental test data for healthy and faulty conditions of single components. In this case, the data quality is very high at component level. This means that data delivers information ready to be processed for identification of the health status. The sensors’ signals might require preprocessing for the extraction of features that are then used to train a Machine Learning algorithm.

Simulation data is available. System modeler softwares, finite element methods analysis tools, computational fluid dynamic softwares, are, among others, useful tools for simulating the different failure modes. This is a physics based approach, which requires domain-knowledge to identify and simulate possible faults.

Past inspections are available. Logs, past inspections, maintenance reports and expert assessments can be used to infer features on the equipment’s health status.

From the above considerations, we sum up an easy takeaway: all the available data can and shall be used.

The decision process: Predictive Maintenance Cost-Benefit Oriented Design

How does a decision maker evaluate the advantage of investing in a Predictive Maintenance strategy?

To answer to this question, we need to get slightly more specific about how we can estimate the performances, first. One way is to focus on a measure of the predictive ability that can be easily connected to costs. We consider the Receiver Operating Characteristic (ROC curve, term coming from radar theory in the fifties) depicted in Figure 2. It is a curve in which each point has in the y-axis the probability of detection (also known as recall) and in the x-axis the probability of false alarm (also known as fall-out). Each point in the ROC is the result of tuning many parameters, from the preprocessing of data to the hyper-parameters of the ML algorithm.

Figure 2. The Receiver Operating Characteristic (ROC) curve, expresses the ability of any binary classifier as its discriminant threshold is varied. Each point is calculated from the confusion matrix (bottom right) for a value of the threshold, where TP (True Positive) and TN (True Negative) are correct classifications and FN (False Negative) and FP (False Positive) are misclassifications. Every outcome above the diagonal line is better than tossing a fair coin. The point (0,1) is the point of perfect classification.

Now, to obtain the optimal parameters of the predictive strategy we follow two steps: first we associate a cost to every possible classification (i.e. to every point of the ROC curve) and then we minimise the total cost, that is the maintenance cost.

We start from a clear cost analysis (for a component, a machinery or an ensemble of components/machinery). More specifically, the analysis is conducted calculating the misclassification costs and two main cases are relevant:

The first case is when an alarm is triggered but no replacement is needed. These are called false alarms or false positive. Costs falling into this category are for example:

Inspection downtime cost (stop the production to inspect without repair)

Maintenance cost (cost of the technicians)

The second case is when a failure happens without being detected. This might cause:

Production downtime cost (usually higher than the inspection downtime costs)

Maintenance cost (cost of the technicians)

Replacement / repair cost

It is worth to notice that false detections and missed detections events are conflicting with respect to the detection threshold, and therefore their sum (the cost functional) has a minimal value.

Lastly, we need to account for the number of failure occurrences in a specific time window (let’s say, per year). To this aim, a probabilistic model that represents the variation of the component health in time (degradation model) can be built. For example, one degradation model would give an indicator such as the so-called Remaining Useful Lifetime, RUL, see Figure 3. At the end of this analysis we get a probabilistic representation of the yearly fluctuation of the component health and, consequently, we can infer the number of misclassifications and their total cost per year.

Figure 3. The Remaining Useful Lifetime (RUL) is the optimal interval of time to perform a repair. Dashed lines in the figure indicate confidence intervals.

Benefits of Predictive Maintenance can be also calculated. To this aim, one commonly used strategy is the cost comparison between PrM versus R2F and PvM. The comparison terms are still the previously defined costs, calculated for the different possible strategies, adding the implementation costs (e.g. sensors, thermographic cameras and the monitoring infrastructure). Monte Carlo simulation, comes very handy to perform this comparison. Once the cost-benefit analysis is done, other statistics for the support of the decision process such as calculation of the probability of extreme events and risks of failure scenario can be evaluated.

Learning from the past (and the errors)

The previous sketches an approach for the evaluation of the costs and the benefits of a PrM strategy, mainly based on the misclassification events.

The whole procedure can now be implemented: we start from processing the data, we feed a ML/AI algorithm whose parameters follows the optimisation of a cost functional, and we end up with a decision, i.e. the RUL. Once the signal “maintenance in 42 days” is triggered, the inspection takes place. As last step, we can feedback the result of the inspection in the algorithm, by using the statistical technique called Bayesian updating.

The powerful idea behind it, is to adjust the belief in the model ability to predict, through the experience. The details are beyond the scope of this introductory blog, but just to understand the concept:

We start from a model, that is based on the available data and this is our prior belief on the model ability of predict failures.

Then we apply the model and we get new data. We quantify the likelihood that the new obtained data match well the model.

Lastly, we evaluate the posterior belief on the model ability.

The three steps happens iteratively, that is, the more data on the performances is available, the better the predictive performances will be.

Conclusions

Calendar-based maintenance is implemented widely in production sectors and causes unnecessary inspections/replacements and downtime costs. As alternative, Predictive Maintenance is based on the concept of monitoring the production assets through sensors, notifying the right time to perform the required repair.

This blog sketches the key concepts to plan and implement a robust Predictive Maintenance strategy, that really represents a business driver. Summing up:

PrM optimizes the production process, increasing reliability and resiliency of the production.

PrM can be smoothly implemented alongside other maintenance traditional schemes, by letting the PrM algorithm learn from the inspections’ results when they happen. This avoids the problem of having a priori information about the many possible failures’ scenarios.

Generally, PrM can be implemented with clear investments, following a cost/benefit analysis.

If correctly planned, it is possible to minimize the risk of sensors’ failure in detection (such as in case of sensor breaking, outliers events, false alarms) increasing the overall reliability of the PrM.

The optimization of PrM does not necessarily imply the need to change the production process to generate benefits.

Bayesian update, that is continuous learning, makes PrM strategy iteratively better.

We will continue to report on implementation examples, hands-on and use cases in this blog, so come back soon for more details on Predictive Maintenance!

Der Beitrag Predictive Maintenance as Business Driver erschien zuerst auf codecentric AG Blog.

Predictive Maintenance as Business Driver published first on https://medium.com/@koresol

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notmuchofatail · 2 years

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Has your pet jumped into the mud again? Perhaps it’s just time for that regular trim or maybe you’re feeling adventurous and are looking for a vibrant dye job! Maybe you’re in the market for some pet supplies, or you’re looking for a new friend to join your home. Whether you’re here for an exciting day at the dog park, or for a quick pamper, Ruff to Fluff is here to provide you and your pet with all of your day to day needs! Grooming, Pet Supplies, Doggy Daycare, Boarding, Adoptions & more! Stop in and say Hello!

[LINK TO GOOGLE DOC FOR EASIER VIEWING]

1400 Yellow Brick Road - The Old Dalmatian Plantations

Established March 10th, 2019. Ownership Transferred to Gregory Eeyore July 29th, 2019 Renovated: Spring of 2022

Hours: Grooming: M-F: 8am-6pm Saturday: 12pm-5pm Sunday: CLOSED

Adoption: M-F: 10am-5pm Saturday: 12pm-5pm Sunday: CLOSED

Boarding: As needed, 24/7 Including all Holidays

Doggy Daycare: M-F 7am-6pm. Saturday & Sunday: By appointment only

Dog Park: Dawn-Dusk each Day*

*Closed the 1st Monday of Every Month for Scheduled Maintenance, Deep Cleaning & Sanitization

Available Services:

Grooming Services

Full package grooming of all breeds big or small! This includes but is not limited to; dogs, cats, guinea pigs, rabbits, etc.

Bathing, brushing, hair trimming, etc.

Nail trimming, filing, capping and/or painting.

Teeth brushing and scraping for plaque removal.

Shedless treatment.

Gland Expression

Pet-Safe Dye Services

*Full grooming packages include a seasonal bandana for them!

Animal Spa & Post-Disaster Pampering:

Ruff to Fluff offers a relaxing pet spa for when your pet needs a good pampering! We also provide post-disaster comforting and kenneling for animals with anxiety disorders or general post-disaster angst.

Kennel & Boarding:

Ruff to Fluff offers luxury boarding for your pet while you’re away! Comfortable and stylish kennels provide your pet with comfort during their stay, equipped with clean bedding, toys and privacy!

Pets will be provided with enrichment, exercise, and plenty of owner-approved treats during their stay! They’ll enjoy a full grooming package during their stay, daily exercise and solo or group (temperament dependent) time in our Doggy Day-care Park facilities and 24/7 monitoring. Doggy-Cam services are also available for you to keep an eye on them during their stay!

Doggy Daycare:

New! R2F now offers Doggy Daycare! Are you busy with working during the week and want a social way for your dog to run out some energy while you’re gone and a dog walker just isn’t cutting it for your excitable pooch? Enroll them in our Doggy-Daycare program! Dogs will have the time of their life in our brand new, safe and secure Dog Park & Covered Playroom! All breeds welcome!

NOTICE

Pets must be non-reactive and good with other animals in order to be eligible for play dates

All pets must be up to date on their vaccines in order to stay at Ruff to Fluff. A dated record must be provided before arrival. All allergies, medical conditions, and temperament must be disclosed before a pet’s arrival as well. Please bring enough of your pet’s favourite food, medication, and treats to last the duration of their stay. A house kibble will be provided in emergencies, however we prefer to keep a pet’s diet as close as possible to normal. Switching diets can cause tummy issues and more anxiety. Medications must be LABELED with names, dates, instructions and more.

Adoptable Pets

In memory of Vinny Santorini, the owner & founder of Ruff to Fluff, we decided to bring in adoptable dogs & cats from the NTO shelter for another chance to find their fur-ever homes! These adoptable pets are sponsored, meaning adoption is FREE with an approved adopter’s application. Say hello to our current adoptable pets here!

Fill out an Adopter’s Application to get approved for adoption here!

Adoption Application

All adoptions are completed with a ‘Welcome Home’ Package that includes treats, toys, first day necessities and a pet portrait done by the talented Devyn Morey

Pet supplies:

Custom Bandanas, Collars, Leashes, etc.

Small animal hide-aways, hamocks, and corner covers.

Pet beds

Homemade Dog, Cat, and small animal treats

Special Birthday Treats

Dog, Cat, Small Animal foods.

Toys, pet-safe dyes, and general supplies

Ruff to Fluff T-Shirts (Ruff to Fluff Logo seen above)

Local Artist’s Works (when available)

About the New Ruff to Fluff:

Appearance:

Updated Floorplan:

Main Entry:

The reception area opens up with a short hall in which a 125 gallon fish tank is the first thing that greets you! Once clear of the entryway, the reception desk sits in front of three beautiful bay windows and across from a comfy couch where you can wait for your pet to be finished grooming, picking up from boarding, or let in from the dog park. There’s always a fresh pot of coffee, tea and water available to those waiting, as well as light snacks for both humans and animals alike!

**There is no bell on the door! It drove the dogs nuts!

The Pet Shop:

The Pet Shop is an expanded area between the reception and the back porch/dog park area where Ruff to Fluff has all of their pet items for sale on display. Within the pet shop you can find yourself a wide selection of anything you might need for your furry friends! They sell organic and homemade treats for dogs, cats and critters, leashes, collars, bandanas, other accessories, toys, beds, food, small critter supplies and occasionally local artists’ works that reflect animals or nature.

The Grooming Area:

The grooming room contains two state of the art animal grooming tubs, and two harness-lock animal grooming tables. This room was built with sound-proofing insulation installed in the walls so that there are minimal distractions or stress both for animals inside the room and out. The windows in this room also always have the blinds drawn, if only to minimize outside distractions or dangers. Ruff to Fluff always uses natural and gentle shampoos, conditioners, cleansers and scents to pamper your animals!

*We have a minimal stress policy at R2F. This means that if your dog/animal is showing severe signs of stress, we will stop any and all treatments for the day. If this occurs we will work with you and your pet to do our best to work them up to a level in which we can provide our services! This is for the safety and comfort of our staff and your pet!

Boarding/Adoption Room:

The Boarding Room is the area where overnight stays spend their vacation. This is also where all of the adoptable animals call their temporary home until we can place them in their forever ones! Our floor to ceiling boarding kennels are roomy, cozy and always stocked with freshly cleaned blankets, beds and toys to keep your pets happy and healthy. There’s direct access to a private section of the outdoor doggy-park/yard where boarded animals can have private outdoor access daily during their trip!

There’s a wall in the Boarding Area where Greg puts up pictures of all the animals that have been adopted out with their owners to remember them & say thanks! There’s more, but I’m only listing the in play characters/animals here, so - so far this wall consists of:

Tiny, previously known as Rusty - Adopted by Tito.

Frito, previously known as Amber - Adopted by Tony.

Yoda, previously known as Moose - Adopted by Ian.

Tilly - Adopted by The Saluki-Sykes (Oliver)

Juniper, previously known as Calliope - Adopted by Ashlee.

Saint, previously known as Saint Nick - Adopted by Shere.

Mew - Adopted by Devyn

Merlin - Adopted by Martin

Tony - Adopted by The Moons.

Celeste - Adopted by Vixey

Nova - Adopted by Seamus

Jean-Honoré Fragonard (Honoré) - Adopted by Toulouse

Pluto - Adopted by Amy Seville

Bunny - Adopted by Kristoff

Vincenzo Santorini Memorial Dog Park

The largest project for Ruff to Fluff - Swynlake’s newest Dog Park & Play Area. Built on the expansive flat land of the previous Dalmatian plantation, the new dog park is completely enclosed, has multiple areas and includes many different features!

The ‘small city’ inside of the main dog park is themed to our very own Swynlake - with the fake buildings inside bearing a likeness to our very own small businesses right here in town! Dogs can chill out in the shade at Pixie’s, or splash along Atlantis Lake near Tiana’s Place. They can also blast through a quick game at Al’s Comic Barn, shop for some toys at Moon Market or admire the scenery at The Rock Shoppe. V.S Memorial Park is split into three main areas: The Small Dog Section, The Large Dog Section, and our Doggy Daycare Area.

All areas are open to public access on the weekends. On Weekdays, the Doggy Daycare Area is only available to those enrolled in our Doggy Daycare program during those hours.

Also inside our Mini-Swynlake, Atlantis is split into two swimming areas for dogs to paddle and splash away at - one for the big dogs and one for the little ones too! (Note: These areas are staffed at all times whenever this area of the park is open. Whenever it can not be staffed, a cover will be placed over any water feature).

Full List of Businesses that have their own little Model Buildings in the R2F Dog Park: Pixie’s, Moon Market, Tiana’s Place, Al’s Comic Barn, SunBurst, The Rock Shoppe, The Court of Miracles, Chapter Three.

Separate from our Model-Swynlake Doggy Park and further behind the building - Ruff to Fluff also has a fenced in open field area with multiple bays, where dogs can run free in the grass, play around or just enjoy the sunshine - either privately or with friends. Feel free to join them in our outdoor yard chairs! There are also a small selection of dog-playground activities for dogs to enjoy here. There’s a path leading right from the gate back towards Main Street!

Around the yard are paw-print shaped stepping stones engraved with the names of our donors who helped fund this project!!

The final outdoor dog-park area is our smaller covered playroom. This section is for when the weather in Swynlake gets a little dreary! We still need room for a bit of outdoor play time sheltered from the elements!

Both of these outdoor areas are available to the public from dawn-dusk.

#about #x; Ruff to Fluff #inspo #Ruff to Fluff #x; R2F

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notmuchofatail · 3 years

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Has your pet jumped into the mud again? Or perhaps it’s just time for that regular trim. In any case, Vinny’s Ruff to Fluff Grooming Etc. is here to provide your pet with quality grooming and care. Need to take a vacation? Ruff to Fluff Grooming Etc. will also provide a kennel for your pet to be provided the finest of care.

Ruff to Fluff Grooming https://ruff-to-fluff.carrd.co/ 10 Main Street, Swynlake Establish March 10th(?), 2019. Ownership Transferred to Gregory Eeyore July 29th, 2019

Hours:

Monday-Friday: 8am-6pm Saturday: 12pm-5pm Sunday: CLOSED

Available Grooming Services:

Full package grooming of all breeds big or small! This includes but is not limited to; dogs, cats, guinea pigs, rabbits, etc.

Bathing, brushing, hair trimming, etc.

Nail trimming, filing, capping and/or painting.

Teeth brushing and scraping for plaque removal.

Shedless treatment.

Gland Expression

Pet-Safe Dye Services

*Full grooming packages include a seasonal bandana for them!

Animal Spa & Post-Disaster Pampering:

Kennel & Boarding

Ruff to Fluff offers luxury boarding for your pet while you're away! Comfortable and stylish kennels provide your pet with comfort during their stay, equipped with clean bedding, toys and privacy!

Pets will be provided with enrichment, exercise, and plenty of owner-approved treats during their stay! Mainstreet Park is right next door and a perfect place for outdoor time! If applicable, your pet will also have the option to join others in pet play dates throughout their stay*

Pets must be non-reactive and good with other animals in order to be eligible for play dates

NOTICE

All pets must be up to date on their vaccines in order to stay at Ruff to Fluff. A dated record must be provided before arrival. All allergies, medical conditions, and temperament must be disclosed before a pet's arrival as well. Please bring enough of your pet's favourite food, medication, and treats to last the duration of their stay. A house kibble will be provided in emergencies, however we prefer to keep a pet's diet as close as possible to normal. Switching diets can cause tummy issues and more anxiety. Medications must be LABELED with names, dates, instructions and more.

Adoptable Pets

In memory of Vinny Santorini, the owner & founder of Ruff to Fluff, we decided to bring in adoptable dogs & cats from the NTO shelter for another chance to find their fur-ever homes! These adoptable pets are sponsored, meaning adoption is FREE with an approved adopter's application. Say hello to our current adoptable pets here!

Fill out an Adopter's Application to get approved for adoption here!

Adoption Application

Pet supplies:

Custom Bandanas, Collars, Leashes, etc.

Small animal hide-aways, hamocks, and corner covers.

Homemade Dog, Cat, and small animal treats

Special Birthday Treats

Toys, pet-safe dyes, and general supplies

Headcanons/Aesthetic listed in the Ruff to Fluff Server:

Lena’s OG floorplan:

The reception is a small corner desk at the front and the 'pet shop' stuff they sell is on the wall/on a display between it and the couch. This top picture is a good idea of what I imagine it looks like (minus the door behind the desk) and maybe a lil.. less fancy. The grooming room is a mix between these fancy tubs and normal grooming tables (2 and 2). So there's a place for full grooming with baths, and just a place for nail trims or what have you. The rehabilitation center is the biggest change since Vinny's ownership. Greg spent a lot of time trying to revamp it a bit to make it a very cozy area for animals and where adoptable animals stay (max like... 5 at a time, usually overflow from the NTO shelter), where animals stay when owners are on vacation or where animals needing a get-away after disaster or rehabilitation stay. The kennels are roomy and cozy and Greg makes sure to keep them stocked with blankets/beds/toys that he washes and disinfects every few days/between different occupants. There’s also access to an outdoor yard from here and a connection to Mainstreet Park. This room is basically a smol doggy day-care area now really. The kennels are floor to ceiling like in this picture but again... a lil less fancy. but general idea.

There's a wall in the rehab center where Greg puts up pictures of all the animals that have been adopted out with their owners to remember them & say thanks! There's more, but I'm only listing the in play characters/animals here, so - so far this wall consists of:

Tiny, previously known as Rusty - Adopted by Tito.

Frito, previously known as Amber - Adopted by Tony.

And don’t forget to say hi to the animals that tend to either stay at the shop or frequent it often! Clifford is the resident Betta fish hanging out in reception in front of the Rehab/Kennel room. You can also expect to see Tucker curled up in a bed behind the reception desk most days, or maybe even Evie (Greg’s rat) curled up in a smaller bed tucked safely atop the desk in a little nook.

Random Headcanons:

Greg removed the bell that used to be above the door because it would drive the dogs crazy whenever someone came in. There’s an electronic sensor now that either will vibrate Greg’s phone (or whoever’s working) in case they’re alone and no one’s at reception - or will sound off a much calmer alert noise within the grooming room.

There’s one someone wrote about for a Wrimo where Ruff to Fluff’s building growled at people which I wanted to include but I can’t find the Wrimo it was in so I’ll update this when I sort through all of them and find it again.

#x; Ruff to Fluff #Ruff to Fluff #about #x; R2F #I wanted to compile everything from before and now into one post since... I have all of this listed in the business server but #not everyone can see it #I will continue to update this post as things change #as there's a link to show the 'adoptable animals'#as well as a link to a fake adoption form #if your character is actually interested in adopting!

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