As background, we are very reliant on the serial items and every single serial item has it's own unit cost and price, etc...We are on 2017r2 for now.
We have had to overwrite the standard acumatica functionality that tries to pick up the stock items last cost to use that as it's unit cost fo that form/document. We have seen this on most documents in the inventory and distribution modules...
Anyway, we have realized that we missed a few spots and now we have a massive project to try and identify all of the items that were out of sync and correct them.
My questions/request for help is the following:
1) Is there any way to know all of the places that could effectively change what Acumatica has as the unit cost for a serial item? I know this happens on inventory receipts, purchase receipts, Adjustments, items that come out of the Manufacturing module, etc... Pretty much everywhere where it ends with a receipt of some sort i guess. I see this is also the case for inventory receipts on a two step transfer (This is the one that got us, we didn't realize that would happen).
2) Is there anyway on a more global level within Acumatica to have it automatically pick up the serial level unit cost as opposed to ever using the stock item cost statistics?
3) Does anyone have any ideas as to how to try and identify all of the possible items that may be effected, and how to resolve them once we identify them? Thankfully, we do have some custom fields that will hopefully have the correct unit cost, but we will still need to adjust these items back to their correct unit cost. But any ideas would be greatly appreciated.
I hope I explained the above clearly, and thank you in advance for anyone kind enough to help us out.
Please find the detailed explanation of the Item Costing in Acumatica by this link.
I think you can consider the generation of the Inventory Adjustment for all the Items with corresponding serial numbers, 0 quantity and fixed amount to correct all the costs without checking if the cost is correct or not. Please create backup snapshots before trying to generate such adjustments and check it on the test instance.
Related
In my company (train company) there is a sort of battle going on over two viewpoints on something. Before going to deep into the problem I'm first going to explain the different domains we have in our landscape now.
Product: All product master data and their characteristics.
Think their name, their possible list of choices...
Location: All location master data that can be chosen, like stations, stops, etc.
Quote: To get a price for a specific choice of a product with their attributes.
Order: The order domain where you can make a positive order but also a negative one for reimbursements.
Ticket: This is essentially what you get from paying the order. Its the product but in the state that its at, when gotten by the customer.
The problem
Viewpoint PURPLE (I don't want to create bias)
When an order is transformed into all "tickets", we convert the order details, like price, into the ticket model. In order to make Order something we can throw away. Order is seen as something transient. Kind of like the bag you have in a supermarket. Its the goods inside the bag that matter. Not the bag itself.
When a reimburse flow would start. You do not need to go to the order. You would have everything in the Ticket domain. So this means data from order will be duplicated to Ticket.
But not all, only the things that are relevant. Like price for example.
Viewpoint YELLOW (I don't want to create bias)
You do the same as above but you do not store the price in Ticket domain. The ticket domain only consist of details that are relevant for the "ticket" to work. Price is not allowed in there cause its a thing of the order. When a reimburse flow would start, its allowed to go fetch those details from the order. Making order not something you can throw away as its having crucial data inside of it.
The benefit here is that Order is not "polluting" the Ticket with unnecessary data. But this is debatable. The example of the price is a good example.
I wish to know your ideas about these two viewpoints.
There is no "Don't repeat yourself" when it comes to the business domain. The only thing that dictates the business domain is the business requirements. If the requirements state that the ticket should work independent of the order changes, then you have to duplicate things.
But in this case, the requirements are ambiguous. There is no correct design using the currently specified requirements. Building code based on assumptions is the #1 way of getting bad code, since you most likely will have to do a redesign down the road.
You need to go back to the product owner and ask him about the difference between the Order and the Ticket.
For instance:
What should happen to the ticket if the order is deleted?
What happens to the order and/or ticket if the product price changes?
What happens to a ticket if the order is reimbursed?
Go back, get better requirements and then start to design the application.
Our evolution of using DevOps is continuing (slowly but surely). One thing we've noticed is that some people are trying to but excessive estimates in for their time, but what we really want to be encouraging is for people to be breaking work down into multiple tasks.
Is there a way that we can set our DevOps work items to only accept a maximum value? I've had a look at the 'rules' and there doesn't seem to be anything there to let us do this, and because it's an out of the box field I don't think we can put a value limit against it.
I suppose what I want to understand is whether it would be possible to do this in some way? Could I do something with the existing 'Original Estimate' field or would I have to create a new custom field to have any chance of preventing people from putting in 100 hours for something that's actually more like 2?
If you are also using Boards, you could highlight work items where the original estimate is higher than a certain value. This would not prevent setting these values, but rather encourage the users to put in lower values.
https://learn.microsoft.com/en-us/azure/devops/boards/boards/customize-cards?view=azure-devops
Beware that this might not really help the underlying issue: People must be convinced of the benefits of splitting up tasks, otherwise they will just work around the tooling. Like always putting in the maximum value or not putting in the actual work hours.
Is there a way that we can set our DevOps work items to only accept a
maximum value?
I am afraid that setting the value limit for the Original Estimates field is currently not supported.
As workaround, you could need to create a custom field of type Picklist, and then specify the available values in the picklist.
You could add your request for this feature on our UserVoice site , which is our main forum for product suggestions.After suggest raised, you can vote and add your comments for this feedback. The product team would provide the updates if they view it.
I am researching a problem that is pretty unique.
Imagine a roadside assistance company that wants to dynamically route its vehicles. Hence for each packet of new incidents wants to create routes that will satisfy them, according to some constraints (time constraints, road accessibility, vehicle - incident matching).
The company has an heterogeneous fleet of vehicle (motorbikes for easy cases, up to tow trucks for the hard cases) and each incident states it's uniqueness (we know if it wants just fuel, or needs towing).
There is no depot, only the vehicles roaming on the streets.
The objective is to dynamically create routes on the way, having in mind the minimization of time and the total traveled distance.
Have you ever met such a problem? Do you have any idea in which VRP variant it belongs?
I have seen two previous questions but unfortunately they don't fit with my problem.
The respected optaplanner - VRP but with no depot and Does optaplanner out of box support VRP with multiple trips and no depot, which are both open VRPs.
Unfortunately I don't have code right now, as I am still modelling the way I will approach this problem.
I am really sorry for creating a suggestion question and not a real one.
Thank you so much in advance.
It's a rich dynamic/realtime vehicle routing problem. You won't find an exact name for your problem, as when VRPs get too complex they don't fit inside any of the standard categories.
It's clearly a dynamic/realtime problem (the terms are used interchangeably) as you would typically only find out about roadside breakdowns at short notice.
Sometimes you're servicing a broken down car, which would be a single stop (so a vehicle routing problem). Sometimes you're towing a car, which would be a pick-up delivery problem. So you have a mix of both together.
You would want to get to the broken down vehicles ASAP and some would need fixing sooner than others (think a car broken down in a dangerous position on a motorway). You would therefore need soft time windows so you can penalise lateness instead of the standard hard time windows supported in most VRP formulations.
Also for you to be able to scale to larger problems, you need an incremental optimiser that can restart from the previous (possibly now infeasible) solution when new jobs are added, vehicle positions are changed etc. This isn't supported out of the box in the open source solvers I know of.
We developed a commercial engine which does the above. We started off using the jsprit library, which supports mixing single stop and pickup delivery problems together. We later had to replace jsprit due to the amount of code we had to override to get it running happily for realtime problems, however jsprit may still prove a useful starting point for you. We discuss some of the early technical obstacles we had to overcome in getting jsprit to handle realtime problems in this white paper.
I am working on DDD project and I am currently focused on two bouned contexts, Orders and Warehouse.
What confuses me is the following situation:
Order keep track of all the placed orders, and warehouse keeps track about all the available inventory. If user places one order for certain product item, that would mean one less item of that product in a warehouse. I am oversimplifying this process, so please bear with me.
Since two domain models are placed inside of a different BC, i am currently relying on eventual consistency ie. after one item has been sold, it would eventually be removed from the warehouse.
That situation unfortunately leads to the problem scenario where another user could simultaneously make another order of the same item, and it would appear as available until eventual consistency kicks is. That is something it is unacceptable by the domain expert.
So IMO I am stuck with two options
merge order and warehouse (at least the part regarding product
inventory, units available in warehouse) into one BC
have Order BC (or microservice if you wish) to be dependent of Warehouse BC (microservice) in order to pull a live product units
available
Which option does actually follows DDD patern? Is there another way out?
You could use a reservation system with a timeout.
Using a messaging analogy: With a broker-style queuing mechanism (such as RabbitMQ) you get a message from the queue and you have control over it until you either acknowledge that it can be removed from the queue or you release it back to the queue.
You could do the same thing in your ordering process. You reserve any items on your order. SO when you add them they have a status of, say, reserving and upon sending some message to reserve the items. If the response comes back you can decide how to proceed. Perhaps you could add any items that cannot be reserved onto a back order or try again later.
There are going to be different ways to approach this. Depending on your business case it may be acceptable to only check availability when someone really accepts the order.
If you domain expert reckons it is totally unacceptable that having this resolved at the end of the process then you could move it to the start. The issue is of course that user A could reserve and never buy thereby losing user B as a customer; whereas only applying the real "taking" of the item at the end of the process is closer to ensuring a purchase. But that is a business decision.
This issue is a really great example of where reality actually is eventually consistent. Is it really the best thing to decline an order if there is no inventory currently in the warehouse - even if there was a replenishment due in the next 20 minutes?
What if the item was actually on the shelf, but the operator hadn't yet keyed it into the system?
Sometimes designers and domain experts assume that people want 100% consistency, when really, users might be willing to accept a delay in confirmation of their order, if it increased the chance that their order would be accepted rather than rejected.
In the case above, why make it the user's job to retry their order N minutes later? In an eventually consistent system, you can accommodate such timing flexibility by including a timeout to retry the attempt to fulfill the order for a period of time before confirming to the client that it really wasn't possible.
There are technical solutions that will give you 100% consistency, but I think really this is not a technical challenge but a cultural/mindset one, changing people's minds about what is possible & acceptable to achieve an what is actually a better outcome.
IMO you can build a PlaceOrderSaga which will ask for inventory availability before placing the order.
Can we achieve regression tesing coverage with BDD using JBehave/Cucumber?
Please share your inputs that the complete regression testing is achievable with Behavior Driver Development. (Jbehave/Cucmber).
In all but the most trivial products, it's impossible to perform complete regression testing.
Consider these acceptance criteria:
Items can be replaced or refunded.
This leads to two scenarios; one where we refund the item, and one where we return it. Now let's add a bit more to that:
Items are put in stock when returned or refunded, unless faulty.
Now we have four scenarios:
The one where we replace the item and it's faulty
The one where we refund the item and it's faulty
The one where we replace the item and put it back in stock
The one where we refund the item and put it back in stock.
Now let's add the criteria that a receipt must be in date. We need to check that refunds and replacements are both refused, but also that the item doesn't accidentally go back into stock, nor that any fault label is printed. So now we have eight scenarios.
Now let's think about the scenarios where we have a discount, and the ones where we can't scan the barcode, so we manually input the number, and the ones where the customer lost the receipt so we have to look it up using his loyalty card, and the ones where he paid by gift certificate...
Every scenario could, if the code was poorly designed, affect every other scenario. The number of potential combinations becomes exponential, very quickly.
We hope that the code is well-designed, and that the different aspects of behaviour are well-encapsulated. We hope that all the scenarios had been considered. However, if that was the case, we wouldn't be accidentally changing behaviour we didn't mean to, and we wouldn't need regression testing at all. So we know that at least some of the time, in most teams, changes to one scenario do affect changes in another.
Thinking about the responsibility of each piece of code can help to reduce this, which is why most teams practice both BDD and TDD (or BDD at a class level).
Additionally, it's impossible to ensure that every scenario has been thought of up-front, especially since every software project involves something new (or you wouldn't be doing it).
The only thing we can do is get confidence that the code works.
BDD is pretty good at giving us confidence. Not only does it help people to understand what the code does - so they are less likely to make mistakes and write bugs - but it also helps with automating the scenarios, so that there's less work for the testers, and they can focus more on looking for scenarios nobody's thought of yet (exploratory testing).
So, BDD can definitely help with regression testing... but nothing, not even BDD, can perform complete regression test coverage.