search.noResults

search.searching

saml.title
dataCollection.invalidEmail
note.createNoteMessage

search.noResults

search.searching

orderForm.title

orderForm.productCode
orderForm.description
orderForm.quantity
orderForm.itemPrice
orderForm.price
orderForm.totalPrice
orderForm.deliveryDetails.billingAddress
orderForm.deliveryDetails.deliveryAddress
orderForm.noItems
18


Analytical Instrumentation


Improving Productivity in the Petrochemical Industry


The Benefits of an Integrated Enterprise Level LIMS Solution Colin Thurston, Director of Product Strategy, Process Industries, Thermo Fisher Scientific


Companies in the petrochemical industry face many challenges that impact productivity and decision-making. Today’s high throughput petrochemical laboratories need tools that not only automate laboratory data capture and analysis but also facilitate connectivity to help them improve enterprise-wide communications, reach critical decisions faster and produce timely, accurate reports on end products. This article will provide an insight into the challenges faced by the petrochemical industry and will use an application example to demonstrate the benefits achieved when utilising an integrated enterprise level laboratory information management system (LIMS) to connect the organisation.


Integration Challenges within the Petrochemical Industry


Within the petrochemical industry, most IT and automation systems employed at production plants are an amalgamation of disparate systems, operating independently from each other. These systems are often sourced from different suppliers and vendors, selected according to the needs or market trends in force at the time. A data system created in this manner can prove to be a time-consuming maintenance job for IT personnel, particularly if the systems are managed in isolation rather than as a single integrated solution.


The petrochemical industry faces the consistent, yet ever more difficult challenge of improving personnel efficiency, productivity, business intelligence and decision-making. Traditionally, data from different systems is captured, entered, compared and manipulated manually, often using multiple systems with different user interfaces, data dictionaries and proprietary data structures. This can be a cumbersome and extremely time-consuming process, resulting in a tremendous drain on human resources, as well as the potential for errors to occur, leading to questionable data integrity.


A solution that enables connectivity between LIMS and laboratory instruments, equipment and other resources is crucial to remove this bottleneck. It is important to be able to integrate laboratory-generated data with ERP systems, PIMS, MES and other collaboration tools throughout the organisation. The integration of informatics solutions with a variety of enterprise systems is particularly relevant in today’s business climate, where speed, accuracy and efficiency are critical. Companies working in the petrochemical industry need to be able to make decisions in response to raw materials inconsistencies and condition changes in the manufacturing process, to ensure the consistent quality of the end product and the safety of the environment.


The lack of a coherent strategy for systems, instrument or software integration can result in data redundancy stemming from the same data existing in different systems. Master data being defined several times within different automation and IT systems affects data integrity, consistency and increases the maintenance overhead and adds additional costs for integration/interfaces between the different systems.


Adding to these difficulties is the lack of interoperability between the different products from market leading vendors. The result is that the technologies implemented can often result in a data silo, mentality leading to information gaps as well as functional overlaps and data redundancy.


Further problems include:


•Fragmented support from individual vendors or IT personnel not fully trained in all the various systems


•Complex software upgrades required for disparate systems originating from different vendors


•Error-prone manual work due to a limited data exchange and availability at all levels for all systems/users.


•Difficulty in performing implementing new requirements


•Mis-match of terminology between similar systems


•ERP systems failing to utilise the referential and dynamic data of sub systems.


•Inability to fully benefit from the capabilities and data of real-time systems


•Changes in one system that has a knock on effect across other systems


An integrated solution is needed that assimilates data from all systems, instruments and software. In petrochemical plants most processes require information such as plant hierarchy, plant configuration areas, equipment definition, streams definition etc. At least 20% of the tables that store this information are shared between two or more applications. In addition, multiple systems offer source data for common reporting, data warehousing, data mining and analysis. They use standard networks and are implemented using open software systems and technologies. This open architecture and commonality amongst the systems provides a solid foundation and justification for better and more seamless integration. By leveraging and sharing the data, faster and more informed decisions can be made about operational conditions.


Application Example


Thermo Fisher Scientific has worked with many of the leading global oil and gas companies to complete enterprise-wide deployments of its Sample Manager LIMS with the aim of reducing costs and increasing productivity, while ensuring optimum product quality and regulatory compliance. One of the world’s largest petrochemical companies with major manufacturing facilities around the world needed a LIMS to ensure its products are of a certain quality, optimise the efficiency and throughput of its continuous processes, keep within governmental safety standards, and control its processes with rigorous testing and real-time monitoring.


The company decided to invest in a LIMS capable of ensuring optimum quality control in its manufacturing plant in Singapore. Like many of today’s petrochemical manufacturing businesses, this particular company is under continual pressure to control costs and increase efficiency whilst ensuring the quality of its petrochemical and chemical products.


To achieve this, a LIMS was required to ensure that the correct tests were performed on its products at the correct time and ensure that a record of conformance with internal and external standards and regulations was produced. The company looked for a solution to sort test information and organise it into specific report formats in order to meet customer requirements. They also required a solution that would manage the


complete testing routine from sample login to preparation, testing, re-testing, and final reporting. In order to meet these requirements, the company began to look for a LIMS that would provide efficient and accurate data and information on the production process and product quality. A key demand for the LIMS was to support the streamlining of laboratory information work flows while monitoring both the quality of the product and ensuring a clean and safe environment.


Furthermore, a LIMS solution was required that would easily integrate with other technologies employed by the company, including their ERP system (SAP) and Process Information Management System (OSI PI). The LIMS solution needed to provide full audit capabilities for routine reporting to regulatory agencies. Like all major oil and gas companies, the business also faces pressures from environmental regulations, therefore a LIMS was required to ensure environmental samples were taken regularly and reported back accordingly.


Following the successful implementation of Thermo Scientific Sample Manager LIMS at its manufacturing plant, and in line with an IT model, the company decided to commence an enterprise-wide LIMS standardisation project, implementing Sample Manager LIMS across 27 of its production sites across the US, Europe and Asia Pacific. This global IT solution would speed the company’s business decision-making process and continuously improve its practices as well as delivering a consistent IT framework throughout the organisation. It is a continuous program rolling new LIMS implementations as plants are acquired.


Sample Manager LIMS impacts the wider organisation, integrating the laboratory with the rest of the enterprise by interfacing LIMS with SAP, OSI PI, Honeywell PHD and Yokogawa Exaquantum to name just a few. Since each plant may have its own unique combination of IT applications, it was a requirement that the Sample Manager LIMS should be able to fit within the local framework, whilst delivering the same business information capability. By linking Sample Manager with these applications, the company can bridge the gap between laboratory generated data and the enterprise level information that is required for mission-critical management decision making.


The data are accessible not only to laboratory staff and engineers monitoring the production process, but also to business managers, suppliers and even customers, enabling the business to maintain profitable margins as well as improve customer satisfaction. Sample Manager can also provide internet based access to visualise online data, product status, end product characteristics and quality reports, extending the reach of the system beyond the laboratory.


Benefits


The benefits of better and more consistent quality products, faster and more informed decision making,


Annual Buyers’ Guide 2011


Page 1  |  Page 2  |  Page 3  |  Page 4  |  Page 5  |  Page 6  |  Page 7  |  Page 8  |  Page 9  |  Page 10  |  Page 11  |  Page 12  |  Page 13  |  Page 14  |  Page 15  |  Page 16  |  Page 17  |  Page 18  |  Page 19  |  Page 20  |  Page 21  |  Page 22  |  Page 23  |  Page 24  |  Page 25  |  Page 26  |  Page 27  |  Page 28  |  Page 29  |  Page 30  |  Page 31  |  Page 32  |  Page 33  |  Page 34  |  Page 35  |  Page 36  |  Page 37  |  Page 38  |  Page 39  |  Page 40  |  Page 41  |  Page 42  |  Page 43  |  Page 44  |  Page 45  |  Page 46  |  Page 47  |  Page 48  |  Page 49  |  Page 50  |  Page 51  |  Page 52  |  Page 53  |  Page 54  |  Page 55  |  Page 56  |  Page 57  |  Page 58  |  Page 59  |  Page 60  |  Page 61  |  Page 62  |  Page 63  |  Page 64  |  Page 65  |  Page 66  |  Page 67  |  Page 68  |  Page 69  |  Page 70  |  Page 71  |  Page 72  |  Page 73  |  Page 74  |  Page 75  |  Page 76  |  Page 77  |  Page 78  |  Page 79  |  Page 80  |  Page 81  |  Page 82  |  Page 83  |  Page 84  |  Page 85  |  Page 86  |  Page 87  |  Page 88  |  Page 89  |  Page 90  |  Page 91  |  Page 92  |  Page 93  |  Page 94  |  Page 95  |  Page 96  |  Page 97  |  Page 98  |  Page 99  |  Page 100  |  Page 101  |  Page 102  |  Page 103  |  Page 104  |  Page 105  |  Page 106  |  Page 107  |  Page 108