Maximo Oil and Gas 7.6.1 HSE: Locations & Assets Overview Helen Fisher
The following changes have been made to Locations:
- New saved query – Active Permits Related to Locations
- New Environmental Consent Monitoring Details section on --
- Meters tab
- Audit and Survey tab
- Certifications tab
- Location Details tab
- Operating Context tab
- Characteristics tab
- Failure Analysis tab
- Calculations tab
- Review Actions tab
- Regulations tab
- New Create Actions
- View Failures and Deferrals
- View Operator Log Details
The following changes have been made to Assets:
- Assets tab new Reliability, State, Hose Register, Piping, Personal Protective Equipment, Access Equipment, Lifting Equipment and Leakage sections to support registers
- New Environmental Consent Monitoring Details section on
- Meters tab
- Audit and Survey tab
- Certifications tab
- Regulations tab
- Failure Analysis tab
- View Failure and Deferral Details
- View Operator Log Details
Simple and Effective Solution for Equipment Calibration, PM (Preventative Maintenance) and OOT (Out of Tolerance) Management. Use Calibration Management Software for increased productivity and meet the compliance requirements for ISO and FDA.
Maximo Oil and Gas 7.6.1 HSE: Locations & Assets Overview Helen Fisher
The following changes have been made to Locations:
- New saved query – Active Permits Related to Locations
- New Environmental Consent Monitoring Details section on --
- Meters tab
- Audit and Survey tab
- Certifications tab
- Location Details tab
- Operating Context tab
- Characteristics tab
- Failure Analysis tab
- Calculations tab
- Review Actions tab
- Regulations tab
- New Create Actions
- View Failures and Deferrals
- View Operator Log Details
The following changes have been made to Assets:
- Assets tab new Reliability, State, Hose Register, Piping, Personal Protective Equipment, Access Equipment, Lifting Equipment and Leakage sections to support registers
- New Environmental Consent Monitoring Details section on
- Meters tab
- Audit and Survey tab
- Certifications tab
- Regulations tab
- Failure Analysis tab
- View Failure and Deferral Details
- View Operator Log Details
Simple and Effective Solution for Equipment Calibration, PM (Preventative Maintenance) and OOT (Out of Tolerance) Management. Use Calibration Management Software for increased productivity and meet the compliance requirements for ISO and FDA.
GenesisLab360, a laboratory information management system (LIMS), the strongest and more flexible LIMS/LIS Platform that is tailored not only to manage an organization´s laboratory information but to provide an integrated informatics solution and platform that allow for outstanding laboratory capabilities for workflow management, optimizing productivity and operating cost with increasing quality.
Maximo Oil and Gas 7.6.1 HSE: Change Module OverviewHelen Fisher
Module overview: Change Management. This module comprises three applications:
1. Management of Change (MOC) Requests
2. Management of Change (MOC)
3. Improvements.
Each application is described in detail more detail in the following slides. A separate presentation covers initial set up and configuration of these applications. Process flow charts used in this presentation are extracted from Blueworks Live.
Equipment Taxonomy for the Collection of Maintenance and Reliability DataRicky Smith CMRP, CMRT
ISO 14224 defines the standard for equipment taxonomy or the grouping of equipment in order to collect and disseminate good maintenance and reliability data in order to manage any maintenance or reliability organization effectively. Collection of good equipment data is key to any failure elimination and mitigation program or maintenance management program.
NCQC is sharing information about Instrument Calibration and its requirements in organizations. This ppt presentation helps organization and management trainee to understand purpose, importance and requirements of calibration management system.
Data Integrity II - Chromatography data system (CDS) in PharmaSathish Vemula
- Introduction
- Functions of CDS
- Validation of CDS
- Regulatory requirements
- Procedures required
- Areas for ensuring CDS Data Integrity
- Previous observations
- FDA Warning Letters – 2013
- FDA Warning Letters – 2014
- FDA 483’s related to CDS
- EU – Non compliance Reports
- WHO - Notice of Concern
- How to avoid observations ?
- Conclusion
Basics of EBR: What Are Electronic Batch Records?Laura Olson
Software applications the store and manage data electronically for each batch produced in addition to the entire manufacturing process on a step-by-step basis.
EBR software typically relies on another system such as a manufacturing execution system or enterprise resource planning system to systematically generate a formal master batch record or EBR. This master record stores all the materials, processes and activities which were required for the production of a given product.
Electronic batch records provide the structure and means for automatically compiling batch production data into a formatted electronic document, reducing paper and manual records for more accurate record keeping.
Data is recorded and stored in encrypted form, guaranteeing data privacy and security.
Manufacturing data requirements for supply chain origin, ingredients, and processes has in the past been applied primarily to food, beverage and pharmaceutical. Now, these requirements are being driven by regulatory agencies and the end user to ensure product safety in the automotive, life sciences and consumer packaged goods industry sectors.
Maximo Oil and Gas 7.6.1 HSE: Certifications OverviewHelen Fisher
Example use cases:
- Equipment certification
- Material certification
- Personal Certification
- Construction and commissioning certification
- Regulatory permits
- Environmental consents
- Inspection certification
- Acceptance test certification
Use Cases for Big Data and the Connected EnterpriseESE, Inc.
This presentation showcases uses for big data in maintaining and improving production quality, identifying/quantifying opportunities for cost reduction, and a walk-through of a Connected Enterprise application.
Tieghi Anipla 20 04 2010 Come Possiamo Essere Sicuri Che Tutti Seguano Le Pro...Enzo M. Tieghi
How can you be sure that operators will follow SOPs Standard Operating Procedures? Using an Industrial WorkFlow management tool such as GEIP Procify WorkFlow.
This paper was presented at ANIPLA conference in Milano April 20th, 2010
GenesisLab360, a laboratory information management system (LIMS), the strongest and more flexible LIMS/LIS Platform that is tailored not only to manage an organization´s laboratory information but to provide an integrated informatics solution and platform that allow for outstanding laboratory capabilities for workflow management, optimizing productivity and operating cost with increasing quality.
Maximo Oil and Gas 7.6.1 HSE: Change Module OverviewHelen Fisher
Module overview: Change Management. This module comprises three applications:
1. Management of Change (MOC) Requests
2. Management of Change (MOC)
3. Improvements.
Each application is described in detail more detail in the following slides. A separate presentation covers initial set up and configuration of these applications. Process flow charts used in this presentation are extracted from Blueworks Live.
Equipment Taxonomy for the Collection of Maintenance and Reliability DataRicky Smith CMRP, CMRT
ISO 14224 defines the standard for equipment taxonomy or the grouping of equipment in order to collect and disseminate good maintenance and reliability data in order to manage any maintenance or reliability organization effectively. Collection of good equipment data is key to any failure elimination and mitigation program or maintenance management program.
NCQC is sharing information about Instrument Calibration and its requirements in organizations. This ppt presentation helps organization and management trainee to understand purpose, importance and requirements of calibration management system.
Data Integrity II - Chromatography data system (CDS) in PharmaSathish Vemula
- Introduction
- Functions of CDS
- Validation of CDS
- Regulatory requirements
- Procedures required
- Areas for ensuring CDS Data Integrity
- Previous observations
- FDA Warning Letters – 2013
- FDA Warning Letters – 2014
- FDA 483’s related to CDS
- EU – Non compliance Reports
- WHO - Notice of Concern
- How to avoid observations ?
- Conclusion
Basics of EBR: What Are Electronic Batch Records?Laura Olson
Software applications the store and manage data electronically for each batch produced in addition to the entire manufacturing process on a step-by-step basis.
EBR software typically relies on another system such as a manufacturing execution system or enterprise resource planning system to systematically generate a formal master batch record or EBR. This master record stores all the materials, processes and activities which were required for the production of a given product.
Electronic batch records provide the structure and means for automatically compiling batch production data into a formatted electronic document, reducing paper and manual records for more accurate record keeping.
Data is recorded and stored in encrypted form, guaranteeing data privacy and security.
Manufacturing data requirements for supply chain origin, ingredients, and processes has in the past been applied primarily to food, beverage and pharmaceutical. Now, these requirements are being driven by regulatory agencies and the end user to ensure product safety in the automotive, life sciences and consumer packaged goods industry sectors.
Maximo Oil and Gas 7.6.1 HSE: Certifications OverviewHelen Fisher
Example use cases:
- Equipment certification
- Material certification
- Personal Certification
- Construction and commissioning certification
- Regulatory permits
- Environmental consents
- Inspection certification
- Acceptance test certification
Use Cases for Big Data and the Connected EnterpriseESE, Inc.
This presentation showcases uses for big data in maintaining and improving production quality, identifying/quantifying opportunities for cost reduction, and a walk-through of a Connected Enterprise application.
Tieghi Anipla 20 04 2010 Come Possiamo Essere Sicuri Che Tutti Seguano Le Pro...Enzo M. Tieghi
How can you be sure that operators will follow SOPs Standard Operating Procedures? Using an Industrial WorkFlow management tool such as GEIP Procify WorkFlow.
This paper was presented at ANIPLA conference in Milano April 20th, 2010
final Year Projects, Final Year Projects in Chennai, Software Projects, Embedded Projects, Microcontrollers Projects, DSP Projects, VLSI Projects, Matlab Projects, Java Projects, .NET Projects, IEEE Projects, IEEE 2009 Projects, IEEE 2009 Projects, Software, IEEE 2009 Projects, Embedded, Software IEEE 2009 Projects, Embedded IEEE 2009 Projects, Final Year Project Titles, Final Year Project Reports, Final Year Project Review, Robotics Projects, Mechanical Projects, Electrical Projects, Power Electronics Projects, Power System Projects, Model Projects, Java Projects, J2EE Projects, Engineering Projects, Student Projects, Engineering College Projects, MCA Projects, BE Projects, BTech Projects, ME Projects, MTech Projects, Wireless Networks Projects, Network Security Projects, Networking Projects, final year projects, ieee projects, student projects, college projects, ieee projects in chennai, java projects, software ieee projects, embedded ieee projects, "ieee2009projects", "final year projects", "ieee projects", "Engineering Projects", "Final Year Projects in Chennai", "Final year Projects at Chennai", Java Projects, ASP.NET Projects, VB.NET Projects, C# Projects, Visual C++ Projects, Matlab Projects, NS2 Projects, C Projects, Microcontroller Projects, ATMEL Projects, PIC Projects, ARM Projects, DSP Projects, VLSI Projects, FPGA Projects, CPLD Projects, Power Electronics Projects, Electrical Projects, Robotics Projects, Solor Projects, MEMS Projects, J2EE Projects, J2ME Projects, AJAX Projects, Structs Projects, EJB Projects, Real Time Projects, Live Projects, Student Projects, Engineering Projects, MCA Projects, MBA Projects, College Projects, BE Projects, BTech Projects, ME Projects, MTech Projects, M.Sc Projects, Final Year Java Projects, Final Year ASP.NET Projects, Final Year VB.NET Projects, Final Year C# Projects, Final Year Visual C++ Projects, Final Year Matlab Projects, Final Year NS2 Projects, Final Year C Projects, Final Year Microcontroller Projects, Final Year ATMEL Projects, Final Year PIC Projects, Final Year ARM Projects, Final Year DSP Projects, Final Year VLSI Projects, Final Year FPGA Projects, Final Year CPLD Projects, Final Year Power Electronics Projects, Final Year Electrical Projects, Final Year Robotics Projects, Final Year Solor Projects, Final Year MEMS Projects, Final Year J2EE Projects, Final Year J2ME Projects, Final Year AJAX Projects, Final Year Structs Projects, Final Year EJB Projects, Final Year Real Time Projects, Final Year Live Projects, Final Year Student Projects, Final Year Engineering Projects, Final Year MCA Projects, Final Year MBA Projects, Final Year College Projects, Final Year BE Projects, Final Year BTech Projects, Final Year ME Projects, Final Year MTech Projects, Final Year M.Sc Projects, IEEE Java Projects, ASP.NET Projects, VB.NET Projects, C# Projects, Visual C++ Projects, Matlab Projects, NS2 Projects, C Projects, Microcontroller Projects, ATMEL Projects, PIC Projects, ARM Projects, DSP Projects, VLSI Projects, FPGA Projects, CPLD Projects, Power Electronics Projects, Electrical Projects, Robotics Projects, Solor Projects, MEMS Projects, J2EE Projects, J2ME Projects, AJAX Projects, Structs Projects, EJB Projects, Real Time Projects, Live Projects, Student Projects, Engineering Projects, MCA Projects, MBA Projects, College Projects, BE Projects, BTech Projects, ME Projects, MTech Projects, M.Sc Projects, IEEE 2009 Java Projects, IEEE 2009 ASP.NET Projects, IEEE 2009 VB.NET Projects, IEEE 2009 C# Projects, IEEE 2009 Visual C++ Projects, IEEE 2009 Matlab Projects, IEEE 2009 NS2 Projects, IEEE 2009 C Projects, IEEE 2009 Microcontroller Projects, IEEE 2009 ATMEL Projects, IEEE 2009 PIC Projects, IEEE 2009 ARM Projects, IEEE 2009 DSP Projects, IEEE 2009 VLSI Projects, IEEE 2009 FPGA Projects, IEEE 2009 CPLD Projects, IEEE 2009 Power Electronics Projects, IEEE 2009 Electrical Projects, IEEE 2009 Robotics Projects, IEEE 2009 Solor Projects, IEEE 2009 MEMS Projects, IEEE 2009 J2EE P
Risk assessment for computer system validationBangaluru
A risk assessment is a process to identify potential hazards and analyze what could happen if a hazard occurs.
Computer system validation (sometimes called computer validation or CSV) is the process of documenting that a computer system meets a set of defined system requirements.
1
Low Cost automated inventory system
Low cost automated inventory system
Today’s technology demands small businesses to utilize the available technology and gain the competitive advantage. My sister’s business will be far much better an automated inventory system as compared to the current manual system for managing the inventory. The major advantage of utilizing this technology is the ability to substitute the time consuming and more expensive processes with a much more reliable and low-cost system (Quintero, C. 2009). The system will also help to track the business merchandise and keep track of the business items individually. In this discussion, a detailed design of a low cost automated inventory system and the costs for such a system.
Automated inventory system is a software or group of related software that allows a business to access and input their inventory tasks and allow them to be tracked in a consistent, reliable and fast way. They make use of identifiers for individual items like barcodes and scanners for the goods being sold. These processes are controlled by software that takes the input in the form of barcodes or any other manner and processes relevant information to give out the required output. With the system, guesswork is minimized and the company can focus on other sectors to maximize its profit. The system makes accurate predictions on sales and also allows updates on the inventory.
Having an automated inventory system is critical in any business because they are very helpful in retail sales. Automated inventory system helps to categorize and access business data in a competent and reliable way. The system will, therefore, be designed to utilize the computer resources and other related resources as follows.
Required equipment
To design a complete automated inventory management system that is inexpensive and efficient, necessary equipment would include;
- A personal computer
- One long wireless antenna cable together with a circuit board
- Automation circuit board (probably the Rockwell printed board)
- A unit for microcontroller PIC1F4550
- G-Mobile Computer that is handheld
- Barcodes
- Toggle switch kit
This system will use the low-cost resources and make the inventory management process automated through the use of wireless infrared signals. The signals will involve a manual check but the automation will be still in place (Ismail, S., 2010). Manual check, in this case, will be to double-check the system and ensure the automation process is on track. In addition, automation in the inventory process may experience a lag and so there is the need to check the process manually in case automation may be outdated and put it in order. The customers may be disappointed and make the services offered look bad if these lags are not rectified in time.
System working principles and maintenance
The proposed system will have a configuration (at least one) that contain total stock items and a pla ...
From Data to Insights: How IT Operations Data Can Boost QualityCognizant
By leveraging highly-analyzed operational data - the voice of customers, machines and tests - quality assurance (QA) and IT groups can derive major gains in quality of apps and in user experience.
These ready to use LIMS are designed for versatility, security, accessibility ensuring any time connectivity over
a secure web network interface, cross platform and cross database compatibility with customization
possibilities. Well established research organizations and laboratories choose to implement enterprise edition
of LIMS after a lot of deliberation and for a bunch of good reasons
Quality Management with zenon for the Food & Beverage IndustryMathias BAUMGARTNER
zenon integrates production into quality management.
Checking and analysis mechanisms in the production
processes ensure a consistently high product quality.
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AIVladimir Iglovikov, Ph.D.
Presented by Vladimir Iglovikov:
- https://www.linkedin.com/in/iglovikov/
- https://x.com/viglovikov
- https://www.instagram.com/ternaus/
This presentation delves into the journey of Albumentations.ai, a highly successful open-source library for data augmentation.
Created out of a necessity for superior performance in Kaggle competitions, Albumentations has grown to become a widely used tool among data scientists and machine learning practitioners.
This case study covers various aspects, including:
People: The contributors and community that have supported Albumentations.
Metrics: The success indicators such as downloads, daily active users, GitHub stars, and financial contributions.
Challenges: The hurdles in monetizing open-source projects and measuring user engagement.
Development Practices: Best practices for creating, maintaining, and scaling open-source libraries, including code hygiene, CI/CD, and fast iteration.
Community Building: Strategies for making adoption easy, iterating quickly, and fostering a vibrant, engaged community.
Marketing: Both online and offline marketing tactics, focusing on real, impactful interactions and collaborations.
Mental Health: Maintaining balance and not feeling pressured by user demands.
Key insights include the importance of automation, making the adoption process seamless, and leveraging offline interactions for marketing. The presentation also emphasizes the need for continuous small improvements and building a friendly, inclusive community that contributes to the project's growth.
Vladimir Iglovikov brings his extensive experience as a Kaggle Grandmaster, ex-Staff ML Engineer at Lyft, sharing valuable lessons and practical advice for anyone looking to enhance the adoption of their open-source projects.
Explore more about Albumentations and join the community at:
GitHub: https://github.com/albumentations-team/albumentations
Website: https://albumentations.ai/
LinkedIn: https://www.linkedin.com/company/100504475
Twitter: https://x.com/albumentations
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!SOFTTECHHUB
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
Large Language Model (LLM) and it’s Geospatial Applications
Klenzan IT [janus+wish+insite]
1.
2. MANAGEMENT INFORMATION SYSTEMS a T.M.I.S. ( T ask M anagement & I nformation S ystem) providing a hygiene planning tool and personnel training package for the food processing industry. All information is archived and readily available for detailed interrogation by Auditors. software program simplifying creation of CICs ( C leaning I nstruction C ards), Site Operating Procedures or Emergency Procedures. System ‘links’ with Janus database eliminating additional data input and ensuring conformity of information. a T.M.I.S. ( T ask M anagement & I nformation S ystem) providing a hygiene planning tool and personnel training package for the food processing industry. All information is archived and readily available for detailed interrogation by Auditors. software program simplifying creation of CICs ( C leaning I nstruction C ards), Site Operating Procedures or Emergency Procedures. System ‘links’ with Janus database eliminating additional data input and ensuring conformity of information. a T.M.I.S. ( T ask M anagement & I nformation S ystem) providing a hygiene planning tool and personnel training package for the food processing industry. All information is archived and readily available for detailed interrogation by Auditors. software program simplifying creation of CICs ( C leaning I nstruction C ards), Site Operating Procedures or Emergency Procedures. System ‘links’ with Janus database eliminating additional data input and ensuring conformity of information. a Management Information System that monitors, records and archives all operations of processing plant, packaging lines, automated CIP systems ( C leaning I n- P lace) and discharges to effluent. Detailed reports are generated for analysis and auditing. ...setting the benchmark to progress ‘ BEST PRACTICE’ standards a Management Information System that monitors, records and archives all operations of processing plant, packaging lines, automated CIP systems ( C leaning I n- P lace) and discharges to effluent. Detailed reports are generated for analysis and auditing.
3.
4.
5.
6. Management Information What needs cleaning When Using which CIC With which chemicals Specialist Training required? Who cleaned it ATP result? Current Tasks – active screen Sign-off sheets ~ daily ~ weekly Archive of all Cleaning Records Task Marking What was Cleaned When it was Due When it was Done By whom Who Inspected it Add Micro Results?
7.
8. Simple, straight forward to use Or for photos just Drag n’drop Pick n’tick to input PPE or Cleaning Equip Comprehensive information Secure document control Professional presentation Colour coded cleaning cards Identifying: High Care Areas Low Care Areas Emergency Procedures
9.
10. Procedure text of CIC can be typed in directly or copied and pasted from existing documents. CIC Procedure Text Images of cleaning equipment or icons depicting summary of application method can be added into the procedure ‘Text Box’.
11. Pages for photos are provided and each page can have a different matrix: 1x1, 2x2, 3x3, 4x4 or 5x5 Inserting Photographs Simply ‘drag and drop’ Photographs are auto-sized to fit selected image box
12.
13. Verification Report 160 performance check points 2 tolerance levels A comprehensive tool for QA audits Time Flow Detg % Temp pH Turbidity Per stage Out/Return Out/Return Out/Return Out/Return Out/Return Cleans automatically classified as: PASS CAUTION FAIL
14. Detailed Reports Available immediately after each CIP Operation Detailed graph report monitors & trends Digital signals: Pumps Valves Level switches Alarm signals, etc. Graph Display can be ‘zoomed’ for greater detail to aid analysis Graph data is supported by a detailed Sequence Table Temperature Conductivity Flow Turbidity, etc. Analogue signals:
15. What was the cost of Cleaning? Utility, energy and chemical costs: Single Clean Monthly costs Are the costs repeatable, clean on clean? Comparison of individual Cost elements Report generated after each CIP Operation
16. Environmental Report Impact of Pumps Impact of Heating Single Clean Monthly CO 2 Other reports generated after each CIP Operation & Times details how many times each pump/valve operated for and total duration they were active for. Maintenance identifies when a pump or valve has reach ‘service required’ trigger, (item text changes colour) Service Log records when each item of plant (pump/valve) was Serviced and details plant utilisation at time of Service Reports can be of a single operation or entire CIP channel Scope and System Capabilities The system is able to monitor multiple CIPs and Process Plant simultaneously, i.e. an entire Site. Connectivity can be into the Site’s Ethernet, or plugged into a port of the operating PLC. Verification archives all ‘out of spec’ occurrences, results can be analysed via filtering to establish if ‘faults’ occur each CIP operation – possible program fault. History Each separate Insite Channel can monitor and record data from: 10x Analogue Signals 64x Digital Signals 5x Pulse Meters