Lawson PR160 Job is in Needs Recovery or “is currently running”

, ,

If your Lawson PR160 job status is in “Needs Recovery” or “Is currently running” (because it’s in recovery), see below for the potential fix.

Another error you may encounter is “Ern2 Record Exceeded limit size of 15000”

 

 

Resolution:

  1. Rerun PR140 (If you encounter an error indicating that PR160 is currently running when rerunning PR140, you should restart PR00 by performing a “double delete.”)
    1. “Double Delete” means going to PR00 and hitting the delete button twice until you clear out * and R flags
  2. Run PR160 with the Earnings Record NOT equal to blank after clearing flags in PR00

 

Hope this was helpful!

4 Ways Cloud-Native ERP Solutions Differ From Cloud-Hosted Solutions

With the increasingly rapid growth of cloud the cloud platform for end-user technology, especially in enterprise resource planning (ERP), there may be some confusion whether or not a company’s system is cloud-native or simply just cloud hosted. And yes, there is a difference. Simply put, cloud-native applications are created in the cloud, utilizing the full power of cloud architecture to transcend traditional application restrictions. Cloud-hosted applications are traditional applications that have been migrated to the cloud and are not designed to take full advantage of the cloud. So, which one does your organization have and which is better to use? Robert Jolliffe President at Sabre Limited, shares an article on Spiceworks.com of four characteristics that distinguish cloud-hosted ERP solutions from cloud-native ones. Jolliffe notes that there are some common characteristics you should observe, but still major differences. Cloud-native ERP systems should have these (and maybe more) features:

  1. Serverless Design. “These technologies are serverless. The customer does not need a server, and the technology runs in a public cloud. I think the best of them have dual-use rights (so you can also choose to run them on your own infrastructure). These systems use single sign-on through Google, Microsoft, Facebook etc. Customers usually pay through a monthly subscription model, but that defines its economics, not the technology.”
  2. Cloud Native Technology is Device Agnostic. “Any cloud-native technology is, by its nature, device agnostic. A cloud-native ERP system runs on any hardware platform and any operating system. Even Microsoft’s Dynamics 365 ERP systems (Business Central and Finance and Operations) can run on a Mac, a Chromebook, a Pixel, or Android Phone. They speak “swipe and pinch” and recognize Bluetooth printers. They have native apps in all the major app stores.”
  3. Cloud-Native is App Friendly. “Whether it is Salesforce, Netsuite, the Microsoft Dynamics 365 product line, or any other cloud-native line-of-business system, they all support some private app store. The design of these technologies is open and easily integrated. It’s the design philosophy that exploded the use of the iPhone and buried Blackberry.”
  4. Rapid Deployment. “Speaking as someone who spent years selling Dynamics NAV (now in the cloud as Dynamics 365 Business Central), cloud-native ERP is deployed with virtually zero effort. The onboarding effort is more limited by customers submitting payment methods than any technical element. Old ERP systems could take weeks or months to get hardware in place and software installed. Cloud-native systems can come online by the end of a phone call.”

Moving to the cloud? Here are three things you need to consider before you do

When you think digital transformation, these days cloud migration comes to mind. This process of moving your enterprise resource planning (ERP) platform to the cloud goes hand-in-hand with transforming your business towards a digital landscape. While it is a clear cut solution and the direction many are already taking, you must still weigh your options and understand certain aspects of cloud migration before starting the move for your business. An informative article on ERP Today shares three things that one should consider before a big ERP move.

“First, you need to decide on cloud technology or a hybrid of cloud and on-premise technology for your ERP system. A hybrid system is typically used by those who already have a pre-existing ERP system in place. It could cost more to maintain in the long run, however a hybrid ERP means you won’t have to rebuild an entirely new system – as you would have to with a cloud-based ERP.”

“The next factor you need to consider is if cloud technology will help leverage AI technology. Short answer: yes. Cloud software will help pave the way for AI tech to take the center stage. Cloud tech better positions everything from your business (data, systems, processes) to be ready for AI tools and functionality. Cloud technology is flexible and versatile; the agility of the technology on hand is why AI functions are so readily available. Insight Software’s Oracle system tools readily take advantage of generative AI to enhance the user experience.”

“Upgrading from old legacy systems to new and improved broaches the final factor you need to think about: how will you migrate data to the cloud? Insight Software’s Angle Professional was created for this specific purpose. Rather than having to import all legacy data, Angle Professional is a cloud data warehouse. It’s a central point to access data and information from multiple, different sources.”

 

For Full Article, Click Here

Lawson Error – PR160 error Bad File Status 9 009 on File TAPE-FILE

, ,

Problem:

So you’re running a Lawson PR160 job (Payment Print) and encounter the “Bad File Status 9 009 error on File TAPE-FILE” error. What do you do?

 

Resolution:

First, understand that the error message “Bad File Status 9 009” signifies that either the directory is full or doesn’t exist.

What you will need to do is simple: ensure that a valid path is specified in the PR160 parameters. If there is, double-check that the path is correctly spelled and has sufficient available space in the default location (along with any folder permissions). See the screenshot below for guidance. That’s all there is to it!

 

Ruiz Food Products, Inc. Modernizes Processes with Infor CloudSuite Food & Beverage

Infor recently announced that Ruiz Food Products, Inc. (Ruiz Foods), a frozen food manufacturer specializing in Mexican food products, has migrated its entire Infor product platform to the cloud. Per the press release, Infor’s platform helped Ruiz Foods to modernize its operations, especially through the use of scanners, planning tools and data analytics. This was especially important to help Ruiz Foods navigate meaningful changes in product demand brought on by several years of industry disruptions including the Covid-19 pandemic. Ruiz Foods has been an Infor customer for more than 20 years, having utilized a variety of Infor solutions on-premises, including Infor Optiva, M3, Supply Chain Planning, Factory Track, and EPM. However, in 2022 Ruiz Foods’ data center hardware needed to be replaced, requiring a significant capital investment. Thus, the company began with upgrading its Infor PLM for Process (Optiva) into the cloud, providing a way for Ruiz Foods to capture raw materials, subcomponents and finished goods in a way that illuminated product financials. Moreover, Infor’s configurability helps Ruiz Foods react quickly to support the dynamic needs of our customers. The Ruiz Foods’ Supply Chain Planning team uses the Infor planning tools to adapt to an ever changing business environment and manage manufacturing schedules daily. Ruiz Foods looks forward to continuing its 20+ year partnership with Infor to grow and optimize its business.

 

For Full Article, Click Here

dbreorg -lc lists does not show dictionary changes exist

, ,

Problem:

After adding a view to a productline database and adding it to the application productline using dbdef, blddbdict and dbreorg, the blddbdict created  a +dictionary, but the dbreorg -lc does not show anything as being added.

 

Resolution:

Files added in dbdef and assigned a database space defined as “Is View Yes” are treated as views by the dbreorg.

Views are not created or modified in the database by the dbreorg process, therefore, they will not show up in the output list from dbreorg -lc.

The dbreorg -lc only lists structure changes that the dbreorg makes to the database.

Any non-structure changes made to the file definitions are not shown in the dbreorg -lc output.  Non-structure changes are file relation definitions and fields defined as compute, conditional or string.

AI’s Role in Reshaping the Fashion Landscape

Another industry where artificial intelligence (AI) is making a splash is the fashion industry – curating creativity and efficiency into design, as well as streamlining production and making shopping more seamless than ever before, according to an article on PYMNTS.com. One powerful tool that AI brings to the table is the data collected by retailers and the analysis that AI can help for forecasting, production efforts and customer relations to name a few areas. Ana Friedlander, NA director of industry solution and strategy, fashion and retail at Infor, says of AI’s utilization, “Using purchase history, market trends, and algorithms coupled with data analysis, companies can offer tailored recommendations to consumers.” In addition, manufacturers also use AI to identify and forecast potential issues in the manufacturing processes, helping to minimize inefficiencies, “AI-driven systems are placed in production facilities to predict the possibility of machine failure, allowing maintenance to be scheduled ahead of time. They use AI-based analytics to help predict demand, optimize production schedules, and the ability to manage inventory in real-time that can mitigate supply chain risks,” Friedlander says. Moreover, AI can also assist in the fashion “drawing board” and generate ideas/designs from mood boards to sketches. Dev Nag, CEO of QueryPal, noted in an interview, “Designers check these samples, often making changes to the tech packs, repeating this process several times until everything is suitable for full production. AI can now help designers at almost any point in this process, even turning mood boards directly into fashion and technical sketches.”

 

For Full Article, Click Here

Infor Named to Constellation ShortList in 6 Product Categories

Last month, Infor was named to the Constellation ShortList™ for six product categories in Q1 2024. The technology vendors and service providers included in this program deliver critical transformation initiative requirements for early adopters and fast-follower organizations. Per the press release, Infor solutions have been evaluated and chosen for Constellation ShortListTM for Q1 2024 in six product categories:

  • Service-Centric ERP
  • Configure Price Quote (CPQ)
  • Enterprise Application Platform
  • Product-Centric ERP
  • Healthcare ERP
  • Enterprise Cloud Finance

R “Ray” Wang, chairman and founder at Constellation Research, says of Infor’s inclusion, “Infor’s leadership position in six product categories across service-centric ERP, CPQ, enterprise application platforms, product-centric ERP, healthcare ERP and enterprise cloud finance highlights the business value we are providing our customers across a broad array of market segments. Designed with industry-specific insights and leading-edge automation capabilities, Infor’s mission-critical products make it easier for businesses to transform and achieve success.”

 

For Full Article, Click Here

CKPOINT table does not exist after a productline copy

, ,

If you’ve ever come across the following problem below, follow this quick guide to solve it.

 

Problem:

Users receive error messages when they are running jobsf. The errors are indicating that the CKPOINT table does not exist after the system admin completed a productline copy.

 

Resolution:

Simply put, the CKPOINT file did not get copied over during the copy procedure. Run the following commands to add the CKPOINT table into the productline:

bldckp productlinename

blddbdict productlinename

 

Stop the WebSphere Application Server

dbreorg productlinename

Have the users login and try to run their jobs again. Your error message is now resolved.

 

ERP Vendors predict the technology that will impact Manufacturers in 2024

Steve Brooks, joint Editor at Enterprise Times and Senior analyst at Synonym Advisory, shares insights from ERP vendors and their prediction of technology impacts in Manufacturing in 2024.

  • Acumatica. – Debbie Baldwin, director of product management and manufacturing, at Acumatica, sees AI-enabled automation as key in 2024. She noted, “There are several ways manufacturers can embrace AI to their advantage in 2024. For example, utilizing sensor data for preventative maintenance, minimizing costly repairs, leveraging data to optimize production schedules, and employing digital twins for thorough product development simulation.”
  • IFS – Bob De Caux, VP of Automation, IFS, believes, like many others, that 2024 is the year when AI will be widely adopted by manufacturers. He commented, “Manufacturing systems are becoming more complex, so AI-driven data pattern recognition is crucial for sharpening quality control, predicting equipment problems, and optimising production for fewer defects, higher overall equipment effectiveness (OEE), and significant cost savings.”
  • Infor – Phil Lewis, Senior Vice President of Solution Consulting, Infor predicted that Intelligent Automation would be the technology that manufacturers look to deliver in 2024. Lewis commented, “Intelligent automation is comprised of RPA and AI. RPA has the potential to replace a great deal of manual, ruled-based, repetitive processes, bringing greater accuracy, faster, and freeing up time for teams to innovate and add value, and apply much needed skills to those areas where gaps exist. Ultimately, this means that production can be planned for with greater insight and accuracy, undertaken in the most efficient way, and with fewer errors to minimize waste and optimize fulfilment.”
  • Rambase – “Rambase, whose Chief Sales Officer, Odd Magne Vea, responded to the questions and presented a very different, though valid, prediction around Cyber Resilience. When asked how manufacturers will develop cyber resilience, he answered, “In the present era of smart factories and digital infrastructure, cyber resilience will become paramount for all manufacturing companies. Ever-increasing connectivity and AI automation expose these enterprises, large and small to heightened cyber threats. A breach can disrupt production, compromise sensitive data, and incur substantial financial losses.  Robust cyber resilience strategies are essential to safeguard against evolving cyber threats, ensuring the uninterrupted operation of any organization which distracts from their true objectives. By prioritizing cybersecurity measures, manufacturing companies can protect intellectual property, maintain customer trust, and fortify the foundation upon which they’ve built their businesses over difficult years and decades.”
  • Rootstock Software – Raj Badarinath, Chief Product & Marketing Officer at Rootstock, believes AI Decisioning will be most adopted by Manufacturers in 2024. He noted, “Today, manufacturers are accumulating data at a fast and furious pace. The only way for them to steer through the volume and velocity of this information is with a decisioning platform powered by multi-model AI as their nav system. This new approach—which blends various forms of AI/ML, business intelligence, and predictive capabilities—allows manufacturers to interpret data as incoming signals of demand and supply so they can adjust production capacity for optimal margins. Manufacturers can essentially speed-read market conditions to reliably fulfill customer orders, rapidly convert data into insights and actions, and continually optimize for efficiency and growth.”
  • SAP UKI – Greg Moyle, Head of Energy & Discrete Industries, SAP UKI, was surprisingly conservative in his prediction, noting that “Cloud computing” will be the most adopted trend. The prediction may be an indication of the fact that large enterprises are moving to the cloud compared to mid-market organizations. It also, perhaps, reflects the success that the RISE with SAP initiative has had over the last two years. Moyle further explains, “2024 will see the manufacturing industry go ‘all in’ on industry 4.0 technologies. More and more manufacturers will transition to the cloud in order to scale up adoption of new and transformative technologies such as Artificial Intelligence and the Internet of Things to manage project workloads and improve end-to-end business visibility.”

 

For Full Article, Click Here