Solufy MaxTalk FMMUG 2018
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Solufy Planning Scheduling for Maximo overview short talk at Facilities Management Maximo Users Group 2018
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A review of the IBM Maximo HSE for Work Process as presented at the Facilities Management Maximo Users Group/ FMMUG 2018
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Predictive maintenance
One of the major challenges for Gas Turbine users is to ensure high level of engine availability and reliability, and efficient operation during their complete life-cycle. For this purpose, Various maintenance approaches have been introduced over the years for the gas turbine maintenance: Breakdown Maintenance or Run to Failure, Preventive Maintenance or Scheduled Maintenance and Condition-Based Maintenance (CBM). Here the focus is on CBM or predictive maintenance.
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Here is a draft functional block diagram for the air compressor:
CUT OUT
85 PSI
PRESSURE
SWITCH
AIR
INTAKE
AIR
FILTER
AIR
TANK
44© Life Cycle Engineering 2013
Failure Mode and Effects Analysis
(FMEA)
• A systematic method of identifying and
preventing product and process problems before
they occur.
• Evaluates potential failure modes in a system,
and assesses their effects.
• Aims to take actions to eliminate or reduce risks
prior to a failure occurring.
45© Life Cycle Engineering 2013
FMEA Process
1. Define system/process
2. Break down into functional blocks
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Learn how to use Maximo HSE to Add a Layer of Control on Top of your Work Pro...
A review of the IBM Maximo HSE for Work Process as presented at the Facilities Management Maximo Users Group/ FMMUG 2018
Leveraging Performance Standards to Reduce Risk - Houston SMRP MaRS 2013
Mike Poland will present a methodology to create a risk-based asset management strategy for safety-critical equipment of offshore oil rigs. He will cite case study examples from LCE client Atwood Oceanics, Inc. This methodology is also appropriate for other industries that require managing the asset integrity of safety and environmental management systems.
Maximo 7.6.0.8
With IBM releasing lots of new Maximo offerings in May 2017, we wanted to share the most current product information with our customers.
Predictive maintenance
One of the major challenges for Gas Turbine users is to ensure high level of engine availability and reliability, and efficient operation during their complete life-cycle. For this purpose, Various maintenance approaches have been introduced over the years for the gas turbine maintenance: Breakdown Maintenance or Run to Failure, Preventive Maintenance or Scheduled Maintenance and Condition-Based Maintenance (CBM). Here the focus is on CBM or predictive maintenance.
Preventive maintenance
The presentation describes the Preventive Maintenance feasibility, scheduling and the pros and cons for the same.
Maximo Oil and Gas and HSE 7.6.1 roadmap
Maximo Oil and Gas and HSE Manager 7.6.1 provide new and enhanced capabilities for managing health, safety, environmental and operational processes in the oil and gas industry. Key new features include improvements to incident management, risk assessment, certifications management, and new applications for operator logs, log books, isolation management and an incident reporter mobile app. The release aims to help customers improve operational performance and regulatory compliance.
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Definition of RCM, principles and goals of RCM; Four major components of RCM: reactive maintenance, preventive maintenance, predictive testing and inspection and proactive maintenance; RCM strategies.
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Here is a draft functional block diagram for the air compressor:
CUT OUT
85 PSI
PRESSURE
SWITCH
AIR
INTAKE
AIR
FILTER
AIR
TANK
44© Life Cycle Engineering 2013
Failure Mode and Effects Analysis
(FMEA)
• A systematic method of identifying and
preventing product and process problems before
they occur.
• Evaluates potential failure modes in a system,
and assesses their effects.
• Aims to take actions to eliminate or reduce risks
prior to a failure occurring.
45© Life Cycle Engineering 2013
FMEA Process
1. Define system/process
2. Break down into functional blocks
Why predictive maintenance should be a combined effort
Predictive maintenance is an extremely promising maintenance strategy, but implementation often turns out to be way more complicated than expected. A lot of attempts to implement predictive maintenance strand at the same departments as where they were initiated. The key towards successful implementation of predictive maintenance is to combine the knowledge of all departments in making decisions. In this presentation we start by explaining, based on the subject of sensor selection, why involving your entire organization is so important. Afterwards we give advice on how to implement predictive maintenance, give examples based on the Strukton Worksphere case and discuss how to get your entire organization on board.
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-Related Operator Logs
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-Safety Bulletins
-Safety Meetings
-Incident Reporter
-Support for OSHA style reporting
-Environmental management
-Permit to Work process enh.
-Risk Assessment Hazard Review
-Certifications enhancements
-Location and Asset FMECA
-Human Factor Analysis
CBM Requirements by Carl Byington - PHM Design, LLC
Carl Byington with PHM Design, LLC reviews:
Conceptual functional architecture:
Describes functions and functional interactions
Traces functions to capabilities or services desired in the COO
Conceptual physical architecture:
Allocates and describes the conceptual implementation of functions
Traces implementation to function
Activity Flows:
Identifies primary paths through the principal use-cases to meet the goals and interests of the stakeholders
Trades identify preferred path which, in turn, provides context for requirements derivation and operational thread development.
#phmdesign
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Carl Byington with PHM Design, LLC reviews some of the elements of CBM Cost Benefit Analysis. The analysis consider implementation and non recurring engineering cost as well as deferred, eliminated scheduled maintenance, reduced unscheduled maintenance, and operational cost savings drivers. Specific examples from aircraft, ground vehicle, and industrial applications are provided.
#phmdesign
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A net reduction in cost of operations directly and positively affects the bottom line. Companies can boost revenue without sacrificing profitability by factoring in long-term debt-to capital ratio. Since finance puts a premium on a company’s ability to maximize productivity and use existing assets, you have to continually measure, analyze, and adjust your processes. This is accomplished by a rigorous practice of productivity gains, cost cutting with increased efficiencies, and maximizing returns on fixed assets.
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The industry is reeling under the explosion of data generated by smart sensors, motors, actuators, machines, and other “things”. With the pace at which production is happening currently, the last straw would be an asset breakdown. Statistics show that the automotive industry deals with an alarming 800 hours of downtime every month. The cost of such downtime is a staggering US$22,000 per minute, or US$12.6 million a month.
Additionally, data shows that 20% of these breakdowns are common or predictable and that a majority – a shocking 80% – of them are seemingly random instances and cannot be predicted.
According to McKinsey, the Industrial IoT (IIoT) market is worth $11 trillion, and predictive maintenance solutions can help companies save $630 billion over the next 15 years. So, how can manufacturers tap these savings and benefits?
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Predictive Maintenance Solution -1019
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Predictive Maintenance vs Preventive Maintenance
Whether your business is small, medium or large, effective equipment maintenance is crucial. The CMMS market is flooded with solutions promising cost and time savings but also demanding a solid investment. Every maintenance professional will tell you that predictive and preventive maintenance are absolutely worth it and of highest importance for asset management.
But how to choose the right maintenance strategy for your equipment according to your budget?
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Machine maintenance
The document discusses different types of machine maintenance. It defines maintenance as activities intended to retain or restore functionality. There are two main types of maintenance: planned and unplanned. Planned maintenance includes preventive, corrective, improvement, and predictive maintenance. The goals of maintenance are to maximize uptime and equipment life while minimizing costs. Proper maintenance is important for safety, productivity and profitability.
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The document discusses the importance of proactive maintenance planning and scheduling. It outlines how to measure current effectiveness, set goals for planning and scheduling, prioritize work, and develop standards and guiding principles. Implementing effective planning and scheduling requires defining roles, developing work procedures, ensuring parts are available, and focusing on eliminating failures.
Maintenance management- Production Management
Maintenance management involves keeping production equipment in good operating condition on a daily basis. This includes maintaining existing plant and equipment, inspecting and lubricating machinery, and installing new equipment. The main goals of maintenance are to maximize equipment uptime and efficiency while minimizing repair costs and production downtime through activities like preventative maintenance, equipment inspections, and reliability engineering. An effective maintenance program requires planning work activities, scheduling tasks, and controlling costs.
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Predictive maintenance is an extremely promising maintenance strategy, but implementation often turns out to be way more complicated than expected. A lot of attempts to implement predictive maintenance strand at the same departments as where they were initiated. The key towards successful implementation of predictive maintenance is to combine the knowledge of all departments in making decisions. In this presentation we start by explaining, based on the subject of sensor selection, why involving your entire organization is so important. Afterwards we give advice on how to implement predictive maintenance, give examples based on the Strukton Worksphere case and discuss how to get your entire organization on board.
Maximo Oil and Gas 7.6.1 HSE: Overview
Overview and new product features. Including:
-Shift handover
-Log Book
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-Operational Actions
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-Safety Bulletins
-Safety Meetings
-Incident Reporter
-Support for OSHA style reporting
-Environmental management
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-Risk Assessment Hazard Review
-Certifications enhancements
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CBM Requirements by Carl Byington - PHM Design, LLC
Carl Byington with PHM Design, LLC reviews:
Conceptual functional architecture:
Describes functions and functional interactions
Traces functions to capabilities or services desired in the COO
Conceptual physical architecture:
Allocates and describes the conceptual implementation of functions
Traces implementation to function
Activity Flows:
Identifies primary paths through the principal use-cases to meet the goals and interests of the stakeholders
Trades identify preferred path which, in turn, provides context for requirements derivation and operational thread development.
#phmdesign
https://phmdesign.com
CBM Cost Benefit Analysis by Carl Byington - PHM Design, LLC
Carl Byington with PHM Design, LLC reviews some of the elements of CBM Cost Benefit Analysis. The analysis consider implementation and non recurring engineering cost as well as deferred, eliminated scheduled maintenance, reduced unscheduled maintenance, and operational cost savings drivers. Specific examples from aircraft, ground vehicle, and industrial applications are provided.
#phmdesign
https://phmdesign.com
Sky Futures
A Sky Futures presentation from the Maximo Maintenance Managers' User Forum - UAV Inspection & Maintenance Applications.
RCM
This document discusses reliability centered maintenance (RCM). RCM aims to provide required system functions with maximum reliability and availability at lowest cost. It employs various maintenance techniques like preventive maintenance, predictive testing, and repair. A key part of RCM is failure modes and effects analysis (FMEA) which identifies potential failure modes and their consequences. RCM analysis determines appropriate tasks to address failures based on probabilities and system reliability calculations. The goal is to minimize failures and costs over the system's lifecycle.
The Critical KPI to drive Manufacturing Productivity
A net reduction in cost of operations directly and positively affects the bottom line. Companies can boost revenue without sacrificing profitability by factoring in long-term debt-to capital ratio. Since finance puts a premium on a company’s ability to maximize productivity and use existing assets, you have to continually measure, analyze, and adjust your processes. This is accomplished by a rigorous practice of productivity gains, cost cutting with increased efficiencies, and maximizing returns on fixed assets.
Future-Proofing Asset Failures with Cognitive Predictive Maintenance
The industry is reeling under the explosion of data generated by smart sensors, motors, actuators, machines, and other “things”. With the pace at which production is happening currently, the last straw would be an asset breakdown. Statistics show that the automotive industry deals with an alarming 800 hours of downtime every month. The cost of such downtime is a staggering US$22,000 per minute, or US$12.6 million a month.
Additionally, data shows that 20% of these breakdowns are common or predictable and that a majority – a shocking 80% – of them are seemingly random instances and cannot be predicted.
According to McKinsey, the Industrial IoT (IIoT) market is worth $11 trillion, and predictive maintenance solutions can help companies save $630 billion over the next 15 years. So, how can manufacturers tap these savings and benefits?
Learn how manufacturer and suppliers can experience the power of Cognitive Predictive Maintenance (CPdM) to avoid unplanned downtimes and drive greater efficiencies.
Operations and-maintenance-best-practices
This document is a guide to achieving operational efficiency through best practices in operations and maintenance (O&M). It was prepared by Pacific Northwest National Laboratory for the Federal Energy Management Program. The guide consists of 11 chapters that cover topics such as why O&M is important, O&M management, computerized maintenance management systems, types of maintenance programs, predictive maintenance technologies, commissioning existing buildings, metering for O&M, and O&M ideas for major equipment types. The target audience includes federal O&M and energy managers.
Predictive Maintenance Solution -1019
An AI-enabled predictive maintenance solution can help companies improve business performance by analyzing asset data to derive actionable insights. It can help reduce unplanned downtime by 11% on average, lower maintenance costs by 30%, and minimize breakdowns by up to 70%. An effective predictive maintenance solution should leverage existing backend technologies, apply models and algorithms to data to derive insights, and provide a flexible front-end dashboard integrated with existing tools.
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The document discusses how effective process automation is key to operational excellence and improving return on assets (ROA) for manufacturing companies. While cost cutting has limitations, using automation to add value through more efficient use of manufacturing assets leads to higher performance. The document recommends that companies evaluate their process automation strategies to achieve precise implementation and flawless execution, institute continuous improvement programs for process automation, acquire monitoring tools to facilitate a six sigma approach, and integrate process automation performance monitoring into plant performance reporting.
Modernizing complex MRO processes
Learn how proper control of your MRO processes can streamline your workflow and improve overall product quality. Integrated MRO supply chain management can automate repair and overhaul processes, lowering your maintenance expenditures and overall compliance risk.
Plant maintenance system
The plant maintenance module provides an integrated solution to support enterprise-wide maintenance needs. It includes products to manage all aspects of plant and equipment maintenance. The module provides technical and business reports to help reduce plant downtime and recognize weak points in the technical system. The major subsystems include preventive maintenance control, equipment tracking, component tracking, calibration tracking, and warranty claims tracking. Preventive maintenance control allows planning, scheduling, and monitoring of equipment lubrication, replacement, and safety inspections. Equipment tracking monitors and protects assets, while component tracking identifies chronic repair problems. Calibration tracking supports ISO 9000 requirements and warranty claims tracking recovers reimbursements by managing warranty information.
MaxTECH Technical Training Presentation from MaximoWorld 2018
This document describes a technique for creating non-BIRT reports in Maximo to provide concise summaries of information from various applications and tables. The method uses automation scripts to populate a non-persistent attribute with formatted HTML that displays key data fields. The steps involve adding the attribute, writing a script to generate the HTML summary, configuring a new tab to display it, and setting security permissions. This allows quick, customizable summaries for various Maximo records without running slow BIRT reports.
Predictive Maintenance vs Preventive Maintenance
Whether your business is small, medium or large, effective equipment maintenance is crucial. The CMMS market is flooded with solutions promising cost and time savings but also demanding a solid investment. Every maintenance professional will tell you that predictive and preventive maintenance are absolutely worth it and of highest importance for asset management.
But how to choose the right maintenance strategy for your equipment according to your budget?
Embed RBI in your EAM
This document discusses embedding Risk-Based Inspection (RBI) software within IBM Maximo enterprise asset management solutions. RBI helps asset-intensive industries improve safety, uptime, and cost control by predicting failures and focusing resources. Embedding RBI provides predictive models, reliability analysis, and compliance monitoring to maximize asset performance while leveraging existing EAM investments. It can quantify risk, predict failures, focus work, and enable continuous improvement through an integrated approach within the Maximo platform.
Machine maintenance
The document discusses different types of machine maintenance. It defines maintenance as activities intended to retain or restore functionality. There are two main types of maintenance: planned and unplanned. Planned maintenance includes preventive, corrective, improvement, and predictive maintenance. The goals of maintenance are to maximize uptime and equipment life while minimizing costs. Proper maintenance is important for safety, productivity and profitability.
Canadian Maximo User Group Technical Training - Maximo Reporting 201
BPD Zenith sponsored the Toronto CanMUG 2018. Stephen Hume ran a Training Workshops on BIRT Reporting. This course was designed to improve your company’s ability to make the most of its Maximo data. Plus, discover a cool way to generate a detailed report without BIRT or any SQL by using Maximo MBOs, relationships, automation scripts and actions to their full potential.
BPD Zenith AMUG Presentation 2017
A major international airport faces many challenges in uncertain times. To meet evolving business needs, they partnered with BPD Zenith and UnitiFM to implement MaxiCloud for Airports, a managed facilities management solution powered by IBM Maximo. This agile, cloud-based solution enhances visibility and control of each area's maintenance data. With call center integration for incoming reactive work, the solution can gather real-time data to enhance overall efficiency of maintenance teams. Integrated reporting provides management with financial, operational and service insights. Results include real reductions in asset downtime and increased passenger satisfaction. The presentation covers drivers, requirements, benefits and more.
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The Critical KPI to drive Manufacturing Productivity
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The Benefits of Applying Lean Sigma for Service
The document provides an overview of using Lean Six Sigma (LSS) methodology to improve service and transactional processes. It summarizes the key steps and tools used in each phase of the LSS approach - Define, Measure, Analyze, Improve, and Control. In the Define phase, tools like value stream mapping, process mapping and identifying customer requirements are used. Data collection tools like Pareto charts and process metrics are emphasized in Measure. Analyze makes use of cause-and-effect diagrams and root cause analysis. Improve focuses on eliminating waste and variation. Control establishes procedures to sustain gains through documentation, training and monitoring.
Enhancing Service Quality: Implementing Lean Sigma
Lean Sigma combines Lean and Six Sigma methodologies, benefiting service businesses in several ways (1) Streamlines processes, reducing waste and lead times, (2) improves service quality, response times, and consistency, (3) identifies and eliminates unnecessary costs, improving profitability, (4) uses data and analysis to inform decisions and improve performance, (5) involves employees in problem-solving, boosting morale and productivity, (6) involves employees in problem-solving, boosting morale and productivity, and (7) delivers higher-quality services more efficiently, gaining market share and loyalty.
Overall, Lean Sigma offers service businesses a systematic approach to improving efficiency, quality, and customer satisfaction, ultimately driving profitability and competitiveness in the marketplace.
Enhancing Service Quality: Implementing Lean Sigma
Lean Sigma combines Lean and Six Sigma methodologies, benefiting service businesses in several ways (1) Streamlines processes, reducing waste and lead times, (2) improves service quality, response times, and consistency, (3) identifies and eliminates unnecessary costs, improving profitability, (4) uses data and analysis to inform decisions and improve performance, (5) involves employees in problem-solving, boosting morale and productivity, (6) involves employees in problem-solving, boosting morale and productivity, and (7) delivers higher-quality services more efficiently, gaining market share and loyalty.
Overall, Lean Sigma offers service businesses a systematic approach to improving efficiency, quality, and customer satisfaction, ultimately driving profitability and competitiveness in the marketplace.
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IBM BIM and Maximo: Values for Owners and Operators
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Overview: With rapid worldwide BIM (Building Information Modelling) adoption, more owners and operators are taking advantage of the BIM data in operation and maintenance cycle of their assets. This session will cover an overview of how Maximo leverages BIM to create additional values for the owners and operators.
IBM Maximo Performance Tuning
Speaker: Darlene Nerden, IBM
Overview: In this session will review the Maximo architecture and factors that influence performance. We will discuss some details for those factors regarding tuning for a performance impact. We will look at troubleshooting tools and Maximo settings to help identify and resolve a Maximo performance issue.
Projetech MaxTalk FMMUG 2018
The document discusses cloud computing and the benefits of private cloud solutions. It promotes Projetech as offering dedicated private clouds with benefits like automated installations, continuous upgrades, high availability, disaster recovery, and 24/7 support from a network of certified experts. Projetech's private cloud solutions are said to reduce risks, accelerate businesses, and enable increased agility and focus on business priorities. The document closes with quotes about cloud computing from Marc Benioff and Steve Jobs.
IBM Maximo Predictive Maintenance FMMUG 2018
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JFC & Associates is an enterprise asset management services company that focuses on the entire asset management lifecycle, not just IBM Maximo. They have over 100 combined years of functional and technical expertise. JFC & Associates provides asset management services, consulting services, cloud hosting managed services, mobility services, and IoT products services. They aim to enable, encourage, and empower their clients and help them achieve their desired outcomes by understanding both their business and technical needs and filling any gaps.
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The document discusses the importance of data quality and management. It notes that over 50% of attendees at a conference reported data quality as a top issue. The presentation then covers how poor data quality occurs, the benefits of improved data, and the data enhancement process. Examples are provided of raw legacy data and the same data after being enriched through standardization, classification, and adding additional details. The findings indicate that data cleansing cannot be avoided and is an ongoing process that requires assessment, tools, clear expectations, and defined processes for new data.
TTC MaxTalk FMMUG Maximo 2018
Technology Training & Consulting overview short talk at Facilities Management Maximo Users Group 2018
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IBM's Maximo roadmap for 2018 focuses on modernizing the user experience, expanding capabilities for asset health insights and field service management, and ensuring regulatory compliance. Key areas of investment include updating Maximo Work Centers with a simplified and role-based design, enhancing supply chain and inventory management, and integrating innovative technologies like artificial intelligence, augmented reality, and blockchain. Continuous delivery of new features is planned to extend Maximo's value through innovation.
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Explore "The Rising Future of CPaaS in the Middle East in 2024" with this comprehensive PPT presentation. Discover how Communication Platforms as a Service (CPaaS) is transforming communication across various sectors in the Middle East.
What’s New in Odoo 17 – A Complete Roadmap
Odoo releases a new update every year. The latest version, Odoo 17, came out in October 2023. It brought many improvements to the user interface and user experience, along with new features in modules like accounting, marketing, manufacturing, websites, and more.
The Odoo 17 update has been a hot topic among startups, mid-sized businesses, large enterprises, and Odoo developers aiming to grow their businesses. Since it is now already the first quarter of 2024, you must have a clear idea of what Odoo 17 entails and what it can offer your business if you are still not aware of it.
This blog covers the features and functionalities. Explore the entire blog and get in touch with expert Odoo ERP consultants to leverage Odoo 17 and its features for your business too.
An Overview of Odoo ERP
Odoo ERP was first released as OpenERP software in February 2005. It is a suite of business applications used for ERP, CRM, eCommerce, websites, and project management. Ten years ago, the Odoo Enterprise edition was launched to help fund the Odoo Community version.
When you compare Odoo Community and Enterprise, the Enterprise edition offers exclusive features like mobile app access, Odoo Studio customisation, Odoo hosting, and unlimited functional support.
Today, Odoo is a well-known name used by companies of all sizes across various industries, including manufacturing, retail, accounting, marketing, healthcare, IT consulting, and R&D.
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A default auto-signature option and a refuse-to-sign option in HR modules.
Options to divide and merge manufacturing orders, track the status of manufacturing orders, and more in the MRP module.
Dark mode in Odoo 17.
Now that the Odoo 17 announcement is official, let’s look at what’s new in Odoo 17!
What is Odoo ERP 17?
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WWDC 2024 Keynote Review: For CocoaCoders Austin
Overview of WWDC 2024 Keynote Address.
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Understandable dialogue on Apple TV+
On-device app controlling AI.
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Benefits of AI in Healthcare
Faster Diagnoses
AI speeds up the diagnostic process, helping doctors identify conditions quickly and accurately.
Personalized Treatments
AI creates customized treatment plans based on individual patient data, improving outcomes.
Predictive Healthcare
AI anticipates health issues before they arise, allowing for preventative measures.
Improved Accuracy
AI reduces human error in diagnostics and treatment, leading to better patient care.
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24/7 Patient Support
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Cost Reduction
AI optimizes resource use and reduces operational costs, making healthcare more affordable.
Continuous Monitoring
AI continuously monitors patient health, enabling timely interventions and better management of chronic conditions.
Experience the Future of Healthcare with AI!
#AIinHealthcare #MedicalInnovation #HealthTech #BetterCare
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SQL-with-measures has the power, conciseness and reusability of multidimensional languages but retains SQL semantics. Measure invocations can be expanded in place to simple, clear SQL.
To define the evaluation semantics for measures, we introduce context-sensitive expressions (a way to evaluate multidimensional expressions that is consistent with existing SQL semantics), a concept called evaluation context, and several operations for setting and modifying the evaluation context.
A talk at SIGMOD, June 9–15, 2024, Santiago, Chile
Authors: Julian Hyde (Google) and John Fremlin (Google)
https://doi.org/10.1145/3626246.3653374
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一比一原版(USF毕业证)旧金山大学毕业证如何办理
USF硕士毕业证成绩单【微信95270640】一比一伪造旧金山大学文凭@假冒USF毕业证成绩单+Q微信95270640办理USF学位证书@仿造USF毕业文凭证书@购买旧金山大学毕业证成绩单USF真实使馆认证/真实留信认证回国人员证明
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四：留信认证留学生信息网站永久可查
国外毕业证学位证成绩单办理方法：
1客户提供办理旧金山大学旧金山大学本科毕业证成绩单信息：姓名生日专业学位毕业时间等（如信息不确定可以咨询顾问：我们有专业老师帮你查询）；
2开始安排制作毕业证成绩单电子图；
3毕业证成绩单电子版做好以后发送给您确认；
4毕业证成绩单电子版您确认信息无误之后安排制作成品；
5成品做好拍照或者视频给您确认；
6快递给客户（国内顺丰国外DHLUPS等快读邮寄）。
教育部文凭学历认证认证的用途：
如果您计划在国内发展那么办理国内教育部认证是必不可少的。事业性用人单位如银行国企公务员在您应聘时都会需要您提供这个认证。其他私营 #外企企业无需提供！办理教育部认证所需资料众多且烦琐所有材料您都必须提供原件我们凭借丰富的经验帮您快速整合材料让您少走弯路。
实体公司专业为您服务如有需要请联系我: 微信95270640奈一次次令他失望山娃今年岁上五年级识得很多字从走出小屋开始山娃就知道父亲的家和工地共有一个很动听的名字——天河工地的底层空空荡荡很宽阔很凉爽在地上铺上报纸和水泥袋父亲和工人们中午全睡在地上地面坑坑洼洼山娃曾多次绊倒过也曾有长铁钉穿透凉鞋刺在脚板上但山娃不怕工地上也常有五六个从乡下来的小学生他们的父母亲也是高楼上的建筑工人小伙伴来自不同省份都操着带有浓重口音的普通话可不知为啥山娃不仅很快与他们熟识了
Superpower Your Apache Kafka Applications Development with Complementary Open...
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Many Apache Kafka use cases take advantage of Kafka’s ability to integrate multiple heterogeneous systems for stream processing and real-time machine learning scenarios. But Kafka also exists in a rich ecosystem of related but complementary stream processing technologies and tools, particularly from the open-source community. In this talk, we’ll take you on a tour of a selection of complementary tools that can make Kafka even more powerful. We’ll focus on tools for stream processing and querying, streaming machine learning, stream visibility and observation, stream meta-data, stream visualisation, stream development including testing and the use of Generative AI and LLMs, and stream performance and scalability. By the end you will have a good idea of the types of Kafka “superhero” tools that exist, which are my favourites (and what superpowers they have), and how they combine to save your Kafka applications development universe from swamploads of data stagnation monsters!
INTRODUCTION TO AI CLASSICAL THEORY TARGETED EXAMPLES
Image: Include an image that represents the concept of precision, such as a AI helix or a futuristic healthcare
setting.
Objective: Provide a foundational understanding of precision medicine and its departure from traditional
approaches
Role of theory: Discuss how genomics, the study of an organism's complete set of AI ,
plays a crucial role in precision medicine.
Customizing treatment plans: Highlight how genetic information is used to customize
treatment plans based on an individual's genetic makeup.
Examples: Provide real-world examples of successful application of AI such as genetic
therapies or targeted treatments.
Importance of molecular diagnostics: Explain the role of molecular diagnostics in identifying
molecular and genetic markers associated with diseases.
Biomarker testing: Showcase how biomarker testing aids in creating personalized treatment plans.
Content:
• Ethical issues: Examine ethical concerns related to precision medicine, such as privacy, consent, and
potential misuse of genetic information.
• Regulations and guidelines: Present examples of ethical guidelines and regulations in place to safeguard
patient rights.
• Visuals: Include images or icons representing ethical considerations.
Content:
• Ethical issues: Examine ethical concerns related to precision medicine, such as privacy, consent, and
potential misuse of genetic information.
• Regulations and guidelines: Present examples of ethical guidelines and regulations in place to safeguard
patient rights.
• Visuals: Include images or icons representing ethical considerations.
Content:
• Ethical issues: Examine ethical concerns related to precision medicine, such as privacy, consent, and
potential misuse of genetic information.
• Regulations and guidelines: Present examples of ethical guidelines and regulations in place to safeguard
patient rights.
• Visuals: Include images or icons representing ethical considerations.
Real-world case study: Present a detailed case study showcasing the success of precision
medicine in a specific medical scenario.
Patient's journey: Discuss the patient's journey, treatment plan, and outcomes.
Impact: Emphasize the transformative effect of precision medicine on the individual's
health.
Objective: Ground the presentation in a real-world example, highlighting the practical
application and success of precision medicine.
Data challenges: Address the challenges associated with managing large sets of patient data in precision
medicine.
Technological solutions: Discuss technological innovations and solutions for handling and analyzing vast
datasets.
Visuals: Include graphics representing data management challenges and technological solutions.
Objective: Acknowledge the data-related challenges in precision medicine and highlight innovative solutions.
Data challenges: Address the challenges associated with managing large sets of patient data in precision
medicine.
Technological solutions: Discuss technological innovations and solutions
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A neural network is a machine learning program, or model, that makes decisions in a manner similar to the human brain, by using processes that mimic the way biological neurons work together to identify phenomena, weigh options and arrive at conclusions.
Boost Your Savings with These Money Management Apps
A money management app can transform your financial life by tracking expenses, creating budgets, and setting financial goals. These apps offer features like real-time expense tracking, bill reminders, and personalized insights to help you save and manage money effectively. With a user-friendly interface, they simplify financial planning, making it easier to stay on top of your finances and achieve long-term financial stability.
Modelling Up - DDDEurope 2024 - Amsterdam
What to do when you have a perfect model for your software but you are constrained by an imperfect business model?
This talk explores the challenges of bringing modelling rigour to the business and strategy levels, and talking to your non-technical counterparts in the process.
Safelyio Toolbox Talk Softwate & App (How To Digitize Safety Meetings)
Consistent toolbox talks are critical for maintaining workplace safety, as they provide regular opportunities to address specific hazards and reinforce safe practices.
These brief, focused sessions ensure that safety is a continual conversation rather than a one-time event, which helps keep safety protocols fresh in employees' minds. Studies have shown that shorter, more frequent training sessions are more effective for retention and behavior change compared to longer, infrequent sessions.
Engaging workers regularly, toolbox talks promote a culture of safety, empower employees to voice concerns, and ultimately reduce the likelihood of accidents and injuries on site.
The traditional method of conducting safety talks with paper documents and lengthy meetings is not only time-consuming but also less effective. Manual tracking of attendance and compliance is prone to errors and inconsistencies, leading to gaps in safety communication and potential non-compliance with OSHA regulations. Switching to a digital solution like Safelyio offers significant advantages.
Safelyio automates the delivery and documentation of safety talks, ensuring consistency and accessibility. The microlearning approach breaks down complex safety protocols into manageable, bite-sized pieces, making it easier for employees to absorb and retain information.
This method minimizes disruptions to work schedules, eliminates the hassle of paperwork, and ensures that all safety communications are tracked and recorded accurately. Ultimately, using a digital platform like Safelyio enhances engagement, compliance, and overall safety performance on site. https://safelyio.com/
Malibou Pitch Deck For Its €3M Seed Round
French start-up Malibou raised a €3 million Seed Round to develop its payroll and human resources
management platform for VSEs and SMEs. The financing round was led by investors Breega, Y Combinator, and FCVC.
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Solufy MaxTalk FMMUG 2018
- 1. FMMUG18 :: Seattle 1 Simplify the Complex Matt Midas Director of Sales February 12, 2018
- 2. FMMUG18 :: Seattle 2 ID Equipment and Criticality Asset Register & Equipment Records Life Cycle Asset Management Reliability Analysis & Risk Assessment Spare Parts Program Automation & Controls Program Calibration Program OEM Assessment & Training Planning & Scheduling Metrics and Measurement Reliability Strategy
- 3. FMMUG18 :: Seattle 3 Building Blocks Equipment History - Oral & Written Equip Failure Investigations Maintenance Repair Analysis Lube Analysis OEM Equip Evaluations FMEAs & RCFA Maintenance Excellence Investigations Spare Parts & Usage Action Plans PMs – Job Plans Task Lines Spare Parts – ID, Sourcing & Stocking Lubrication – Plans & Routes Asset Strategy – Repair, Rebuild, Replace “Bad Actor” Equipment Failure Investigations Maintenance Plan. & Sched. • Regular PMs – Preventive, Predictive & CMs • Minor Shutdowns • Major Shutdowns • Unplanned Shutdowns Update Asset Plans • PMs • Spare Parts • BOMS • Lube Plans • Asset Strategy • PM, PDM • Run to Fail • Repair, Rebuild, Replace Maintenance Execution • Breakdowns • Scheduled PMs • Predictive • Rebuilds Equipment History • Performance • Repairs • Improvement Statistics by Qtr. Scorecard Asset Management
- 4. FMMUG18 :: Seattle 4 Waste in Maintenance Labor Productivity • Waiting for instructions • Looking for supervisors • Checking out the job • Multiple trips to stores • Idle at Job Site • Special tools • Waiting for approval • Excess technicians per job Stores - Materials • Waiting for Materials • Travel time to obtain materials • Time to move materials to job site • Time to identify untagged materials • Time to find substitute materials • Time to find parts in remote/alternative locations • Requisition/Purchase Order • Time lost due to: • Other crafts having material problems • Wrong materials planned, ordered, or delivered • Materials out of stock
- 5. FMMUG18 :: Seattle 5 Planned Maintenance Reactive without planning & scheduling Proactive with Planning & Scheduling Typical Maintenance Worker’s Day - Reactive vs. Proactive Receiving instructions Obtaining Tools and materials Travel to and from job (both with and w/o tools and materials) Coordination Delays Idle at job site Late starts and early quits Authorized breaks and relief Excess personal time (extra breaks, phone calls, smoke breaks, slow return from lunch and breaks, etc.) Sub-Total Direct actual work accomplished (as a % if whole day) 5% 12% 15% 8% 5% 5% 10% 5% 65% 35% 3% 5% 10% 3% 2% 1% 10% 1% 35% 65% Typical Job Planned On-the-Run Same job if Professionally Planned Planning Activity Work Activity Maintenance Practice - Planning and Scheduling
- 6. FMMUG18 :: Seattle 6 Planning and Scheduling Represents an increase of 2.95 FTEs Full of non-value Waste Moving to LEAN
- 7. FMMUG18 :: Seattle 7 Reliability Lean Planning and Scheduling Efficiency Unleashing the value of your workforce Understanding your Assets Understanding your processes and the value of your workforce Understanding your workload and your resources availability Eliminating the waste – LEAN Provide the right tools to maximize the efficiency of your workforce Eliminate the Waste Simplify the Complex
- 8. FMMUG18 :: Seattle 8 Joe Lonjin Maximo Business Analyst Penn State University, Pennsylvania, USA. Return on Investment We are trying not to add more enterprise systems or software, so we critique any new software needs and really try to force an intelligent decision on whether it is really needed, and provides a return on investment. AKWIRE was chosen against these standards and provides us value every day. Doc Palmer Author, McGraw-Hill Maintenance Planning and Scheduling Handbook, Richard Palmer and Associates, USA. They Get It! The best thing about Solufy is they understand planning and scheduling from a maintenance perspective rather than an IT perspective. All too often, IT people think that if you plan a job for five hours, it should take five hours. IT-centric geared CMMS software is designed around perfect job plans and perfect schedules that are just not real life. Dustin Dunaway Automation and Electrical Manager, Oxy Permian Resources, Texas, USA. Incredible Results AKWIRE helped to reduce our average TTR (Time To Repair) from 27 days to 7 days over a three-month implementation period equating to approximately $25M in savings (bringing on lost production). This was for Maximo priorities 1-7 and with a staff that was reduced by 40 percent. After the initial phase 1 was so successful, we formed a PIT (Process Improvement Team) and further reduced the TTR by an additional 20 percent