Quality control management

Pharma Pharmaceuticals deploys Epicor ERP

Pharma Pharmaceuticals deploys Epicor ERP

Epicor Software Corporation, a global provider of industry-specific enterprise software, has announced that Pharma Pharmaceutical Industries (Pharma)—a leader in the kingdom’s pharmaceutical services industry—has implemented Epicor ERP to enhance data capture and archiving capabilities, optimise operational efficiencies, and guarantee on-time delivery to customers.
Pharma brings together business leaders and healthcare veterans to offer services to the Saudi pharmaceutical industry that include branding, marketing and sales, warehousing and logistics, facilities management, and regulatory compliance consultancy.
The company’s international reach demanded a new approach to technology to ensure it remained a leader in the new global digital economy. It embarked upon a bold digital transformation journey, with a robust ERP platform as the planned keystone.
“We didn’t have an ERP platform in place and relied on a paper system to manage each department’s activity,” said Tariq Kayyali, quality unit director and ERP project manager, Pharma Pharmaceuticals Industries, whose team of stakeholders focused on linking and integrating department transactions to reduce the time taken to locate vital archived data.
Errors in starting materials and the resulting mix-ups and delays in order deliveries became significant business risks to the company, pre-digitization. The risk of using incorrect or expired material in the manufacturing process was compounded by the company’s inability to accurately control all its assets and due to its tendency to produce inaccurate reports due to manual compilation.
With the support of trusted Epicor partner, Full Insight Technology Solutions (FITS), Pharma deployed a platform that was easy to install, user-intuitive, and provided tight-fit functionality with its needs. Over a period of 10 months, the system was rolled out to 15 users, who all reported ease of use and unprecedented accuracy.
Switching to Epicor ERP has allowed Pharma to smoothly link and integrate transactions across all departments and enhance accuracy in operations and inventory control. Strict audit trails now allow every critical transaction to be traced—to the user, date, and time of action—allowing Pharma to closely monitor related business impacts. Labelling problems have also been overcome, by enabling greater control over purchased and manufactured parts.
“We ended up saving about 30 percent of unnecessary warehouse-team transactions and managed to reduce the time taken to find or track historical data records or transactions, from hours or days to seconds or minutes,” said Kayyali. “We also reduced the risk of mix-up and eliminated the possibility Pharma Pharmaceuticals deploys Epicor ERP to streamline processes and optimise service delivery of using an invalid or expired part as a starting material—which is critical in the pharma industry.”
Having a validated ERP system helps us meet the expectations and compliance requirements of medicinal product agencies, both in the Kingdom of Saudi Arabia and around the world.”
“Remaining relevant in the digital economy is no minor feat,” added Amel Gardner, regional vice president, Middle East, Africa and India (MEAI), Epicor.
“Competitors—especially new market entrants—will not be using manual processes for critical functions. It is therefore vital that all firms digitise as much as possible. Epicor ERP will give Pharma a strong platform for growth and enable it to easily comply with granular industry requirements. The platform is designed to fit every business like a glove, delivering automation and operational enhancements that pave the way to true digital transformation.” — Tradearabia News Service


Data V Tech is proud to be one of the leading ERP vendors in the Asia Pacific. We have implemented Epicor ERP for many enterprises and organizations in Vietnam and China, particularly in the pharmaceutical industry. For direct consultation, please feel free to contact us.

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big data in erp

Big Data in ERP: Leveraging for support

Big data in enterprise resource planning – ERP – is defined as larger, more complex data sets. Especially from new data sources. These data sets are huge, to the point where traditional data processing software can’t manage them completely. For manufacturers, leveraging big data with ERP systems can be used to help solve certain persistent business problems. Not only does big data offers a huge amount of support to improve visibility and performance. It also improves your ERP system from sales forecasting and scheduling to enhanced quality control, and more.


Big data captures the information needed for all types of scheduling, and is more immediate and readily available, due to today’s expansive collection of delivery devices. Having real-time feedback from your ERP system can give manufacturers a leg up on scheduling efficiency and will ultimately lead to comprehensive ERP scheduling that, in turn, will create better overall project management efficiencies.

Quality Assurance

Predictive capabilities of big data can extend to product quality assurance as well. It allows manufacturers to channel, store and monitor every real-time data point along a production line in order to create better results at the work-in-progress phase rather than having to deal with problems only after a product hits the quality assurance floor.

Supply Chain

Integrating big data analytics in processes and operations leads to greater efficiency in the supply chain. According to Accenture’s report, Big Data Analytics in Supply Chain, the consultancy found that using big data within ERP systems instead of on an ad hoc basis led to 1.3 times the supply chain speed.

Having the ability to keep track of all the moving parts within the supply chain is a huge advantage. Big data improves visibility to each step of the supply chain process. Furthermore, it gives businesses a 360-degree view of where all of their assets are at any certain time. Big data improves supply chain reaction time by 41 percent, according to Accenture. When there is a product issue, the mix of big data and ERP systems can help ensure to handle it quickly.

Sales Forecasting

When combined with ERP systems, big data can help businesses predict demand for specific items. Individuals have the ability to track and trap customer trend patterns in real-time. They then can immediately apply that focused data to create further direct sales offers. For instance, a retailer could use big data to analyze how the release of a new iPhone model affects the sales of headphones and computer peripherals.

Posted on  by Elizabeth Quirk in Best Practices

Click here for further information about big data in Epicor ERP – ERP solution for manufacturers or contact us for direct consultation. 

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quality control

Quality control management through transformation due to newer ERP platforms

One of the leading tasks for enterprise resource planning – ERP – platforms is to control the quality of a company’s products before delivering them to customers. Nonetheless, manufacturing has become tremendously complex due to the increasing demands of customers. Thus, former ERP systems have difficulties in staying up to the job.

Frequently, the purpose of programming software systems previously was to emphasize consistency. But today’s newer systems incorporate advanced analytics and artificial intelligence technologies in the quality control process.

The systems have become more attuned to the highly-customized approach of current manufacturing processes. They must automatically learn how to deal with more complex products and resolve multiple issues that can delay a process and eat into earnings.

Managing Multiple Platforms

Some manufacturers are forced to juggle multiple systems to stay on top of challenges in production such as shop floor control or track-and-trace visibility within the supply chain. So they often look for more from their ERP platforms – for example, allowing a short-notice production run.

The latest ERP systems manage data effectively so they can optimize production runs across multiple metrics. They also are adaptable and able either to incorporate or run alongside software used by other firms.

Managers must also consider increased time pressures in the production process. The window from design to manufacture is shrinking all the time, but quality control must stay consistent.

New Ways to Test

The latest ERP technology can handle these demands using Failure Mode and Effects Analysis, or FMEA. There are tests on new products against a digital twin due to a lack of sufficient time for a more thorough analysis.

Quality management demands require the next generation of ERP systems to rely on data inputs that go beyond scrap rates. Manufacturers need to catch quality issues on the factory floor and stay abreast of issues with raw materials and components coming into the process.

Leading the way are companies that use metallurgical components. An instance is in aerospace manufacturing, where there are zero margins for error. However, we ought to apply similar processes to the plastics sector.

Artificial intelligence and the Internet of Things are predicted to play a more significant role in the quality control process of the future: Connected devices will likely channel reams of additional data back into the production process, while AI can help ERP systems gain new insights that will improve quality by detecting issues far earlier than currently possible.

Key takeaways:

  • The next generation of ERP software platforms is revolutionizing the entire process of quality control within manufacturing.
  • More sophisticated products combined with intense time pressures mean that ERP systems need to step up with more dynamic and insightful quality control processes.
  • Beyond this, breakthroughs with AI research and the implementation of IoT or connected technology means that ERP systems increasingly are able to incorporate a greater level of product data and insights into quality control.
  • A more granular approach to product analysis including raw materials should translate into more efficient quality control in the near future.

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