The document summarizes a monthly knowledge sharing meeting for Palmal Group of Industries. Key discussion points included the previous month's performance on planning, production, quality assurance, and human resources KPIs. Data on production targets vs achievement, efficiency percentages, defects analysis, and worker absenteeism was reviewed. The group analyzed root causes for shortfalls and set new targets for the coming month. Style-wise production plans and actual outputs were compared through heat maps for two factory units.
Factory Monthly KPI OF KRC(U-1,2), January to July-2022.pptNittamallik216
The monthly knowledge sharing meeting reviewed the last seven months of performance for Palmal Group of Industries KRC units 1 and 2. Key discussion points included monthly targets versus achievement for production, efficiency, profit/loss and other KPIs. Issues that hampered production were also analyzed, such as delays in input plans, supplies and machine issues. The meeting aimed to understand the current position, identify areas for improvement and set new monthly performance targets.
This document shows monthly progress percentages from January 2011 to October 2015 for a four-laning highway project in Bihar, India. It includes the original project timeline, revised monthly targets, actual monthly progress achieved, and cumulative percentages completed. Several notes list factors that could impact the project schedule such as delays in land acquisition, design approvals, and equipment availability. The project met three contractual milestones, with the final completion of outstanding items by April 2015.
This document summarizes the monthly performance review meeting of Palmal Group of Industries. Key discussion points included the performance of various departments against targets in areas like production, quality assurance, and human resources. Production performance was analyzed based on metrics like target achievement, efficiency, non-productive time, revenue, and machine utilization. Quality assurance performance was reviewed in terms of inspection pass rate, defects, and root cause analysis. Human resources performance included absenteeism rates. The meeting aimed to understand current performance, identify improvement areas, and set new targets for the next month.
This document contains work plans and expenditure details for road construction projects in Bihar, India. It provides monthly targets and achievements for various tasks needed to complete 51.74 km and 36.73 km of a national highway project from October 2014 to October 2015. It also includes plans to complete another 15 km section subject to land acquisition. The tasks include earthwork, granular sub-base, wet mix macadam laying, dense bituminous macadam and bituminous concrete surfacing. The document tracks progress and expenditure against targets for each task on the left and right sides of the highway.
1. The document provides monthly summaries of key performance indicators (KPIs) such as targets vs achievement, profit/loss, efficiency, and plans vs results for an apparel factory from January 2022 to May 2022.
2. It analyzes production data by product category, style, and minutes required for different months. The majority of products fall under the "basic" style category requiring 4.51-7.5 minutes to produce.
3. Non-productive time was highest in January 2022 at 0.59% but was zero for other months. Overall non-productive time was 0.13% and revenue per machine remained around 98,000 BDT on average.
The document shows freight loading, earnings, and performance data for various divisions of a railway over the current and last year. Loading was up 2.89-5.68% across divisions from last year. Earnings increased 4.5-5.77% except for DLI which fell -7.71%. Overall loading and earnings were down -11.54% and -18.32% respectively. On a monthly and yearly basis, most divisions also saw decreases in earnings of -2.2% to -56.8% compared to last year. Total monthly earnings fell -28.74% and yearly earnings decreased -22.61%
This document provides information about Eastern Screw Co., a manufacturer and supplier of stainless steel fasteners. It summarizes their capabilities including manufacturing a wide range of fastener types in various materials, diameters and lengths. It also details their inventory, locations, services, and machining capabilities.
Tablero Gerencial de Mando - Business IntelligenceLuis Damian
1) Net sales were down 3% compared to plan while operating profit was up 2.4% compared to plan for Amgen's pharmaceutical and consumer business.
2) For Amgen's trade business, net sales were down 7% compared to plan and gross margin was up 14% compared to plan.
3) Generic drugs grew 5.5 times more than brands in the relevant Amgen market.
Factory Monthly KPI OF KRC(U-1,2), January to July-2022.pptNittamallik216
The monthly knowledge sharing meeting reviewed the last seven months of performance for Palmal Group of Industries KRC units 1 and 2. Key discussion points included monthly targets versus achievement for production, efficiency, profit/loss and other KPIs. Issues that hampered production were also analyzed, such as delays in input plans, supplies and machine issues. The meeting aimed to understand the current position, identify areas for improvement and set new monthly performance targets.
This document shows monthly progress percentages from January 2011 to October 2015 for a four-laning highway project in Bihar, India. It includes the original project timeline, revised monthly targets, actual monthly progress achieved, and cumulative percentages completed. Several notes list factors that could impact the project schedule such as delays in land acquisition, design approvals, and equipment availability. The project met three contractual milestones, with the final completion of outstanding items by April 2015.
This document summarizes the monthly performance review meeting of Palmal Group of Industries. Key discussion points included the performance of various departments against targets in areas like production, quality assurance, and human resources. Production performance was analyzed based on metrics like target achievement, efficiency, non-productive time, revenue, and machine utilization. Quality assurance performance was reviewed in terms of inspection pass rate, defects, and root cause analysis. Human resources performance included absenteeism rates. The meeting aimed to understand current performance, identify improvement areas, and set new targets for the next month.
This document contains work plans and expenditure details for road construction projects in Bihar, India. It provides monthly targets and achievements for various tasks needed to complete 51.74 km and 36.73 km of a national highway project from October 2014 to October 2015. It also includes plans to complete another 15 km section subject to land acquisition. The tasks include earthwork, granular sub-base, wet mix macadam laying, dense bituminous macadam and bituminous concrete surfacing. The document tracks progress and expenditure against targets for each task on the left and right sides of the highway.
1. The document provides monthly summaries of key performance indicators (KPIs) such as targets vs achievement, profit/loss, efficiency, and plans vs results for an apparel factory from January 2022 to May 2022.
2. It analyzes production data by product category, style, and minutes required for different months. The majority of products fall under the "basic" style category requiring 4.51-7.5 minutes to produce.
3. Non-productive time was highest in January 2022 at 0.59% but was zero for other months. Overall non-productive time was 0.13% and revenue per machine remained around 98,000 BDT on average.
The document shows freight loading, earnings, and performance data for various divisions of a railway over the current and last year. Loading was up 2.89-5.68% across divisions from last year. Earnings increased 4.5-5.77% except for DLI which fell -7.71%. Overall loading and earnings were down -11.54% and -18.32% respectively. On a monthly and yearly basis, most divisions also saw decreases in earnings of -2.2% to -56.8% compared to last year. Total monthly earnings fell -28.74% and yearly earnings decreased -22.61%
This document provides information about Eastern Screw Co., a manufacturer and supplier of stainless steel fasteners. It summarizes their capabilities including manufacturing a wide range of fastener types in various materials, diameters and lengths. It also details their inventory, locations, services, and machining capabilities.
Tablero Gerencial de Mando - Business IntelligenceLuis Damian
1) Net sales were down 3% compared to plan while operating profit was up 2.4% compared to plan for Amgen's pharmaceutical and consumer business.
2) For Amgen's trade business, net sales were down 7% compared to plan and gross margin was up 14% compared to plan.
3) Generic drugs grew 5.5 times more than brands in the relevant Amgen market.
The document contains data from test sections and questions. It includes the number of questions answered correctly and incorrectly in various test sections, as well as difficulty levels for questions. It also shows how to calculate raw scores from the number of questions answered correctly and use conversion tables to determine scaled scores for the math, critical reading and writing sections of a practice SAT exam.
This document summarizes the progress and plans of Newage Apparels Ltd Unit 1. In 2015, the unit's efficiency increased from 43.73% to 48.76%. Sewing production per month increased from 631867 pieces to 686812 pieces. The plans for 2016 include further increasing efficiency to 55% through line-wise improvements, increasing yearly production to 8241744 pieces, and conducting skill testing and recruitment to better allocate workers across skill levels. The IE department made progress in 2015 through activities like line graphing, database development, and studies. Their plans for 2016 include continuing these activities across the sewing, finishing and cutting areas to further improve productivity. Key challenges in 2015 included high worker migration, absentee
SUPPLY CHAIN AND SOURCING_PROCUREMENT RAISING rev 2Reinaldo Leopoldo
The document discusses supply chain maturity and improvement opportunities at Essilor in Brazil. It includes an agenda covering internal and external concepts, benchmarking against other industries, model adherence, prioritizing improvement projects, and implementing lean and six sigma approaches. A calendar is also included for assessing LATAM operations. The document aims to analyze the current state and identify ways to raise the bar on supply chain and sourcing & procurement at the optical segment in Brazil.
wealth age region
37 50 M
24 88 U
14 64 A
13 63 U
13 66 U
11.7 72 E
10 71 M
8.2 77 U
8.1 68 U
7.2 66 E
7 69 M
6.2 36 O
5.9 49 U
5.3 73 U
5.2 52 E
5 77 M
5 73 M
4.9 62 A
4.8 54 U
4.7 63 U
4.7 23 U
4.6 70 O
4.6 59 E
4.5 96 E
4.5 84 O
4.5 40 E
4.3 60 U
4 77 E
4 68 E
4 83 E
4 68 A
4 40 E
4 62 M
4 69 E
4 49 A
3.9 64 A
3.9 83 A
3.8 41 A
3.8 78 A
3.6 80 A
3.5 68 O
3.4 67 U
3.4 71 O
3.4 54 A
3.3 62 E
3.3 69 A
3.3 58 U
3.2 71 U
3.2 55 O
3 66 E
3 65 E
3 50 U
3 64 E
3 57 A
3 86 M
3 71 E
3 68 E
3 68 E
3 54 U
2.8 68 A
2.8 76 E
2.8 52 E
2.8 73 O
2.8 46 O
2.7 69 U
2.7 63 E
2.6 42 E
2.6 67 E
2.6 62 O
2.6 66 U
2.6 75 U
2.5 74 E
2.5 73 E
2.5 84 M
2.5 49 A
2.4 60 U
2.4 71 O
2.4 76 A
2.4 67 E
2.3 54 A
2.3 57 U
2.3 54 O
2.3 64 O
2.2 85 E
2.2 45 A
2.2 39 O
2.2 54 E
2.1 68 U
2.1 85 U
2 70 M
2 102 M
2 38 U
2 73 A
2 91 E
2 82 U
2 74 M
2 81 M
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2 62 E
2 62 U
2 67 U
2 80 O
2 68 M
2 80 U
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2 60 E
2 74 O
1.9 48 U
1.9 60 E
1.9 43 E
1.9 64 O
1.9 67 U
1.8 62 A
1.8 90 E
1.8 66 U
1.8 68 A
1.8 60 A
1.8 53 A
1.8 47 E
1.8 86 U
1.8 67 A
1.7 54 U
1.7 77 E
1.7 61 U
1.7 83 E
1.7 61 U
1.7 58 U
1.7 64 U
1.7 53 A
1.7 67 A
1.6 57 E
1.6 62 A
1.6 * E
1.6 64 O
1.6 69 A
1.6 71 E
1.6 54 U
1.6 78 A
1.5 45 U
1.5 69 U
1.5 59 U
1.5 * A
1.5 82 O
1.5 68 E
1.5 41 E
1.5 60 E
1.5 64 E
1.5 44 E
1.5 7 E
1.5 72 E
1.5 56 E
1.5 60 E
1.4 61 E
1.4 79 O
1.4 42 O
1.4 63 E
1.4 49 E
1.4 56 E
1.4 67 U
1.4 75 E
1.4 43 M
1.4 61 U
1.4 54 O
1.4 47 E
1.4 64 U
1.4 52 A
1.4 73 A
1.3 83 U
1.3 64 E
1.3 71 O
1.3 71 E
1.3 61 M
1.3 83 E
1.3 43 E
1.3 47 U
1.3 79 E
1.3 53 E
1.3 73 U
1.3 72 U
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1.3 77 E
1.3 68 E
1.3 42 E
1.3 61 U
1.2 69 A
1.2 82 O
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1.2 56 U
1.2 42 M
1.2 63 U
1.2 75 U
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1.2 59 A
1.2 70 E
1.2 46 M
1.2 68 U
1.2 68 A
1.2 69 A
1.2 68 O
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1.1 79 E
1.1 49 E
1.1 47 U
1.1 75 U
1.1 76 M
1.1 66 U
1.1 85 U
1.1 66 O
1.1 70 U
1.1 58 E
1.1 72 E
1.1 52 M
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Sheet1DateExportRefinery OutputJan-04283.92246.01Feb-04241.7237.15Mar-04142.66249.35Apr-04331.02237.72May-04197.33269.92Jun-04210.95285.3Jul-04256.03227.27Aug-04268.59226.86Sep-04114.05129.92Oct-04203.37226.18Nov-04165.71220.87Dec-04308.34235.21Jan-05270230Feb-05137232Mar-05309250Apr-05184248May-05322270Jun-05199240Jul-05246250Aug-05237255Sep-05226236Oct-05287254Nov-05320261Dec-05313277Jan-06313229Feb-06216258Mar-06217260Apr-06316199May-06215226Jun-06200231Jul-06269248Aug-06216234Sep-06291219Oct-06234270Nov-06192277Dec-06275197Jan-07181219Feb-07176146Mar-07149238Apr-07270253May-07266230Jun-07196222Jul-07253141Aug-07237230Sep-07216176Oct-07112194Nov-07217191Dec-07187187Jan-08246191Feb-08157174Mar-08187187Apr-08160208May-08263208Jun-08195195Jul-08113177Aug-08240197Se.
This document provides production data for a dyeing section of a factory. It includes daily dyeing production amounts for April broken down by process, as well as monthly finishing production targets and actuals. Overall, dyeing production was 22,974kg on average for April, which was 6.83% higher than the previous month. Finishing production totaled 720,862kg for the month. Machine capacity and production forecasts are also presented to aid in planning.
This document provides production data for a dyeing section of a factory. It includes daily dyeing production figures, finishing production, lost time, monthly dyeing and finishing plans, buyer-wise production positions, and machine forecasting data. The average daily dyeing production in April was 22,974kg, about 6.83% higher than the previous month, while finishing production was 720,862kg for the month.
This document contains traffic count data from a road location over multiple hourly intervals. It includes the number of light vehicles, buses, trucks, semi-trailers, and trailers observed each hour. The data is organized into tables with columns for each vehicle type and rows for the hourly counts. Percentages of the total traffic are also provided for each interval.
This document provides daily sales figures by entity, division, department and class for J. Jill for Thursday January 18, 2007. It shows the dollar variance and percentage variance in sales for the day, week, month, quarter and year to date compared to the same periods last year. The highest sales for the day were in casual sweaters, casual knit tops and short/career woven shirts.
This document outlines historical and projected capital expenditures (Capex), depreciation & amortization (D&A), and other key metrics for an asset from 2014-2027. It shows:
1) Capex has increased each period from $1.3B in 2014 to a forecasted $35.2B in 2025 while D&A has also risen from $231.9M to a projected $17B for 2027.
2) Various Capex-to-revenue and D&A-to-revenue percentages are provided for comparison over time.
3) D&A is forecasted out annually showing declining amounts each year as assets depreciate.
Training for Production Management regarding the basic line management procedureRadwan Ahmed Rahat
This Training slide was meant for FCI Group's Line Managements to enlighten them regarding their Job responsibilities and day to day work flow. This training was given by FCI Group's Lean Management Trainers to the line management to make sure they are well aware about the company's change of style in production management.
This document contains monthly KPI reports for planning, production, and efficiency from June 2021 to August 2021. It includes statistics on style analysis, efficiency percentages, non-productive time, machine utilization, worker absenteeism, profit/loss, and on-time delivery. The style analysis shows the quantity and percentage of styles produced within different SMV ranges for each month. Metrics like non-productive minutes, machine utilization, and worker absenteeism are also reported on a monthly basis.
The document provides statistics on Jubilee Health Insurance Limited's business processing unit for the period of January 24th to 28th, 2022. Key metrics include accepting 56% of applications received, debiting 62% of corporate schemes for January, and completing 76% of addition/deletion instructions. A few schemes and policies remain outstanding from previous months. The unit aims to continue improving processing times and reducing pending work.
This document contains a student's grades for 10 assignments in different subjects. It shows the grade each student received for each assignment, as well as their average grade. There are 59 students listed with their grades for 10 assignments and their overall average. The averages range from 0.2 to 4.95 out of 10.
This progress report provides an overview of installation and pre-commissioning work for Phase 50. Key details include:
- Overall progress is 88.15%, slightly behind the planned 92.46% due to some delayed cable testing and equipment hook-ups.
- Pre-commissioning and SAT are underway for Platform CVX-501 and nearing completion for CVX-503. Later platforms like CVX-511 remain on schedule for late 2016 completion.
- Productivity is monitored through dashboards tracking tasks, budgets, and earned/actual manhours. Subcontractors are cautioned to expedite work to meet pre-commissioning dates.
- Attachments include a pre-commissioning/SAT
1. The document provides the answer key for the AIPMT 2014 exam with the question numbers (Q.No.) and corresponding answers (Paper Code) for 180 questions.
2. It also lists the contact information and addresses for Allen Career Institute centers in Kota, Chandigarh, Ahmedabad, and Jaipur that provide preparation courses for medical entrance exams.
3. The Leader Course for Pre-Medical (AIPMT, AIIMS) eligibility is listed as 12th passed or appearing students and the class start dates for each center are provided.
2014 AIR Reporting Program-level Retention and GraduationDavid Onder
AIR presentation on reporting program-level retention and graduation, looking at different visualization options. Presenters: Alison Joseph (Business Analyst) and David Onder
This document is a product catalog from Texas Flange & Fitting Supply that provides information on various types of flanges. It lists contact information for their Illinois and Houston offices. The catalog contains specifications for ANSI flanges in several classes and sizes, including dimensions for weld neck, threaded, slip-on, lap joint, socket weld, and blind flanges. It also notes that the information is believed to be reliable but accuracy is not guaranteed.
The document summarizes a knowledge sharing meeting at Palmal Group of Industries. It discusses key performance indicators and production metrics for the previous few months. Key points discussed include monthly target achievement, efficiency rates, profit/loss, defects analysis, and setting new targets. Challenges around style allocation, purchase order delays, and worker absenteeism affecting efficiency are also analyzed.
This document discusses production planning and control. It defines production planning as involving decisions about required resources for manufacturing operations to produce goods at the appropriate time and lowest cost. Production control guides the flow of production so products are made according to plan, schedule, and quality standards. The objectives and techniques of both production planning and control are described, including determining requirements, arranging schedules, implementing plans, and ensuring quality standards are met. The importance of production planning and control for increasing production, coordinating activities, and controlling costs is also highlighted.
This document discusses garment marker making. It defines marker making as drawing pattern pieces on thin marker paper to minimize fabric waste when cutting. There are two main methods: manual and computerized.
Manual marker making is the oldest method where a pattern maker draws pieces directly onto marker paper laid over fabric. Computerized uses CAD systems to digitally place minimized patterns and automatically generate markers, allowing for higher efficiency but requiring more investment and skilled labor. The document outlines the process, advantages, and types of each marker making method.
The document contains data from test sections and questions. It includes the number of questions answered correctly and incorrectly in various test sections, as well as difficulty levels for questions. It also shows how to calculate raw scores from the number of questions answered correctly and use conversion tables to determine scaled scores for the math, critical reading and writing sections of a practice SAT exam.
This document summarizes the progress and plans of Newage Apparels Ltd Unit 1. In 2015, the unit's efficiency increased from 43.73% to 48.76%. Sewing production per month increased from 631867 pieces to 686812 pieces. The plans for 2016 include further increasing efficiency to 55% through line-wise improvements, increasing yearly production to 8241744 pieces, and conducting skill testing and recruitment to better allocate workers across skill levels. The IE department made progress in 2015 through activities like line graphing, database development, and studies. Their plans for 2016 include continuing these activities across the sewing, finishing and cutting areas to further improve productivity. Key challenges in 2015 included high worker migration, absentee
SUPPLY CHAIN AND SOURCING_PROCUREMENT RAISING rev 2Reinaldo Leopoldo
The document discusses supply chain maturity and improvement opportunities at Essilor in Brazil. It includes an agenda covering internal and external concepts, benchmarking against other industries, model adherence, prioritizing improvement projects, and implementing lean and six sigma approaches. A calendar is also included for assessing LATAM operations. The document aims to analyze the current state and identify ways to raise the bar on supply chain and sourcing & procurement at the optical segment in Brazil.
wealth age region
37 50 M
24 88 U
14 64 A
13 63 U
13 66 U
11.7 72 E
10 71 M
8.2 77 U
8.1 68 U
7.2 66 E
7 69 M
6.2 36 O
5.9 49 U
5.3 73 U
5.2 52 E
5 77 M
5 73 M
4.9 62 A
4.8 54 U
4.7 63 U
4.7 23 U
4.6 70 O
4.6 59 E
4.5 96 E
4.5 84 O
4.5 40 E
4.3 60 U
4 77 E
4 68 E
4 83 E
4 68 A
4 40 E
4 62 M
4 69 E
4 49 A
3.9 64 A
3.9 83 A
3.8 41 A
3.8 78 A
3.6 80 A
3.5 68 O
3.4 67 U
3.4 71 O
3.4 54 A
3.3 62 E
3.3 69 A
3.3 58 U
3.2 71 U
3.2 55 O
3 66 E
3 65 E
3 50 U
3 64 E
3 57 A
3 86 M
3 71 E
3 68 E
3 68 E
3 54 U
2.8 68 A
2.8 76 E
2.8 52 E
2.8 73 O
2.8 46 O
2.7 69 U
2.7 63 E
2.6 42 E
2.6 67 E
2.6 62 O
2.6 66 U
2.6 75 U
2.5 74 E
2.5 73 E
2.5 84 M
2.5 49 A
2.4 60 U
2.4 71 O
2.4 76 A
2.4 67 E
2.3 54 A
2.3 57 U
2.3 54 O
2.3 64 O
2.2 85 E
2.2 45 A
2.2 39 O
2.2 54 E
2.1 68 U
2.1 85 U
2 70 M
2 102 M
2 38 U
2 73 A
2 91 E
2 82 U
2 74 M
2 81 M
2 * U
2 62 E
2 62 U
2 67 U
2 80 O
2 68 M
2 80 U
2 * U
2 60 E
2 74 O
1.9 48 U
1.9 60 E
1.9 43 E
1.9 64 O
1.9 67 U
1.8 62 A
1.8 90 E
1.8 66 U
1.8 68 A
1.8 60 A
1.8 53 A
1.8 47 E
1.8 86 U
1.8 67 A
1.7 54 U
1.7 77 E
1.7 61 U
1.7 83 E
1.7 61 U
1.7 58 U
1.7 64 U
1.7 53 A
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1.6 57 E
1.6 62 A
1.6 * E
1.6 64 O
1.6 69 A
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1.6 54 U
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1.5 45 U
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1.5 82 O
1.5 68 E
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1.4 61 E
1.4 79 O
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1.1 66 O
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1.1 52 M
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Sheet1DateExportRefinery OutputJan-04283.92246.01Feb-04241.7237.15Mar-04142.66249.35Apr-04331.02237.72May-04197.33269.92Jun-04210.95285.3Jul-04256.03227.27Aug-04268.59226.86Sep-04114.05129.92Oct-04203.37226.18Nov-04165.71220.87Dec-04308.34235.21Jan-05270230Feb-05137232Mar-05309250Apr-05184248May-05322270Jun-05199240Jul-05246250Aug-05237255Sep-05226236Oct-05287254Nov-05320261Dec-05313277Jan-06313229Feb-06216258Mar-06217260Apr-06316199May-06215226Jun-06200231Jul-06269248Aug-06216234Sep-06291219Oct-06234270Nov-06192277Dec-06275197Jan-07181219Feb-07176146Mar-07149238Apr-07270253May-07266230Jun-07196222Jul-07253141Aug-07237230Sep-07216176Oct-07112194Nov-07217191Dec-07187187Jan-08246191Feb-08157174Mar-08187187Apr-08160208May-08263208Jun-08195195Jul-08113177Aug-08240197Se.
This document provides production data for a dyeing section of a factory. It includes daily dyeing production amounts for April broken down by process, as well as monthly finishing production targets and actuals. Overall, dyeing production was 22,974kg on average for April, which was 6.83% higher than the previous month. Finishing production totaled 720,862kg for the month. Machine capacity and production forecasts are also presented to aid in planning.
This document provides production data for a dyeing section of a factory. It includes daily dyeing production figures, finishing production, lost time, monthly dyeing and finishing plans, buyer-wise production positions, and machine forecasting data. The average daily dyeing production in April was 22,974kg, about 6.83% higher than the previous month, while finishing production was 720,862kg for the month.
This document contains traffic count data from a road location over multiple hourly intervals. It includes the number of light vehicles, buses, trucks, semi-trailers, and trailers observed each hour. The data is organized into tables with columns for each vehicle type and rows for the hourly counts. Percentages of the total traffic are also provided for each interval.
This document provides daily sales figures by entity, division, department and class for J. Jill for Thursday January 18, 2007. It shows the dollar variance and percentage variance in sales for the day, week, month, quarter and year to date compared to the same periods last year. The highest sales for the day were in casual sweaters, casual knit tops and short/career woven shirts.
This document outlines historical and projected capital expenditures (Capex), depreciation & amortization (D&A), and other key metrics for an asset from 2014-2027. It shows:
1) Capex has increased each period from $1.3B in 2014 to a forecasted $35.2B in 2025 while D&A has also risen from $231.9M to a projected $17B for 2027.
2) Various Capex-to-revenue and D&A-to-revenue percentages are provided for comparison over time.
3) D&A is forecasted out annually showing declining amounts each year as assets depreciate.
Training for Production Management regarding the basic line management procedureRadwan Ahmed Rahat
This Training slide was meant for FCI Group's Line Managements to enlighten them regarding their Job responsibilities and day to day work flow. This training was given by FCI Group's Lean Management Trainers to the line management to make sure they are well aware about the company's change of style in production management.
This document contains monthly KPI reports for planning, production, and efficiency from June 2021 to August 2021. It includes statistics on style analysis, efficiency percentages, non-productive time, machine utilization, worker absenteeism, profit/loss, and on-time delivery. The style analysis shows the quantity and percentage of styles produced within different SMV ranges for each month. Metrics like non-productive minutes, machine utilization, and worker absenteeism are also reported on a monthly basis.
The document provides statistics on Jubilee Health Insurance Limited's business processing unit for the period of January 24th to 28th, 2022. Key metrics include accepting 56% of applications received, debiting 62% of corporate schemes for January, and completing 76% of addition/deletion instructions. A few schemes and policies remain outstanding from previous months. The unit aims to continue improving processing times and reducing pending work.
This document contains a student's grades for 10 assignments in different subjects. It shows the grade each student received for each assignment, as well as their average grade. There are 59 students listed with their grades for 10 assignments and their overall average. The averages range from 0.2 to 4.95 out of 10.
This progress report provides an overview of installation and pre-commissioning work for Phase 50. Key details include:
- Overall progress is 88.15%, slightly behind the planned 92.46% due to some delayed cable testing and equipment hook-ups.
- Pre-commissioning and SAT are underway for Platform CVX-501 and nearing completion for CVX-503. Later platforms like CVX-511 remain on schedule for late 2016 completion.
- Productivity is monitored through dashboards tracking tasks, budgets, and earned/actual manhours. Subcontractors are cautioned to expedite work to meet pre-commissioning dates.
- Attachments include a pre-commissioning/SAT
1. The document provides the answer key for the AIPMT 2014 exam with the question numbers (Q.No.) and corresponding answers (Paper Code) for 180 questions.
2. It also lists the contact information and addresses for Allen Career Institute centers in Kota, Chandigarh, Ahmedabad, and Jaipur that provide preparation courses for medical entrance exams.
3. The Leader Course for Pre-Medical (AIPMT, AIIMS) eligibility is listed as 12th passed or appearing students and the class start dates for each center are provided.
2014 AIR Reporting Program-level Retention and GraduationDavid Onder
AIR presentation on reporting program-level retention and graduation, looking at different visualization options. Presenters: Alison Joseph (Business Analyst) and David Onder
This document is a product catalog from Texas Flange & Fitting Supply that provides information on various types of flanges. It lists contact information for their Illinois and Houston offices. The catalog contains specifications for ANSI flanges in several classes and sizes, including dimensions for weld neck, threaded, slip-on, lap joint, socket weld, and blind flanges. It also notes that the information is believed to be reliable but accuracy is not guaranteed.
The document summarizes a knowledge sharing meeting at Palmal Group of Industries. It discusses key performance indicators and production metrics for the previous few months. Key points discussed include monthly target achievement, efficiency rates, profit/loss, defects analysis, and setting new targets. Challenges around style allocation, purchase order delays, and worker absenteeism affecting efficiency are also analyzed.
This document discusses production planning and control. It defines production planning as involving decisions about required resources for manufacturing operations to produce goods at the appropriate time and lowest cost. Production control guides the flow of production so products are made according to plan, schedule, and quality standards. The objectives and techniques of both production planning and control are described, including determining requirements, arranging schedules, implementing plans, and ensuring quality standards are met. The importance of production planning and control for increasing production, coordinating activities, and controlling costs is also highlighted.
This document discusses garment marker making. It defines marker making as drawing pattern pieces on thin marker paper to minimize fabric waste when cutting. There are two main methods: manual and computerized.
Manual marker making is the oldest method where a pattern maker draws pieces directly onto marker paper laid over fabric. Computerized uses CAD systems to digitally place minimized patterns and automatically generate markers, allowing for higher efficiency but requiring more investment and skilled labor. The document outlines the process, advantages, and types of each marker making method.
This document summarizes the key performance indicators (KPIs) for a factory over the last five months. It reviews production targets and achievements, efficiency rates, profit/loss, machine utilization, defects analysis, and human resources metrics like absenteeism. The meeting objectives are to understand current performance, identify areas for improvement, and set next month's targets. Charts are provided on topics like product category analysis by style/complexity, NPT levels, on-time delivery, and the top five defects. Causes and action plans are outlined for the most common defects.
The document summarizes a monthly knowledge sharing meeting for Arkay-2(Unit-1) to review performance over the last five months. It discusses key performance indicators for planning/production, quality assurance, and human resources. For planning/production, it analyzes targets vs achievement, efficiency, profits, machine utilization, and more. For quality assurance, it reviews inspection pass rates, defect rates, and top defects. For human resources, it examines worker absenteeism. Overall performance is below expectations and action plans are discussed to improve efficiency, quality, and reduce absenteeism.
This document contains monthly performance summaries for a factory across various key metrics:
1. Plan vs achievement, worker absenteeism, non-productive time (NPT), and efficiency percentages are reported on a month-by-month basis. NPT values and amounts are included.
2. Style analysis comparisons of monthly plan vs actual quantities produced, including breakdowns by style/product type. Percentages achieved of total planned quantities are provided.
3. Facts like expected vs achieved efficiency and targets vs achievements are outlined at an overall and monthly level. Metrics like machine utilization and on-time delivery are also covered.
4. Additional sections cover product defect hit/fail status, profit/loss, and
1. The document contains month-wise production and efficiency data for different style types from June 2021 to August 2021. It includes details like plan vs actual production quantities, average percentages of styles produced, and efficiency percentages achieved.
2. It also provides non-productive time data, machine utilization percentages, worker absenteeism status, profit/loss status excluding abnormal losses, and on-time delivery status for the months.
3. Overall, the document analyzes and compares monthly plans with actual achievements for key metrics like production, efficiency, costs and on-time deliveries for the factory.
The document contains monthly plan vs achievement status updates for various metrics from June 2021 to August 2021 for a factory. Key metrics reported on include:
- Style-wise production quantity and percentage achieved vs plan
- Efficiency percentage achieved vs expected for each month
- Non-productive time (NPT) minutes and value for each month
- Machine utilization percentage each month
- Worker absenteeism status summary for each month
- Profit/loss status excluding abnormal losses for each month
- Revenue achievement against per machine plans for each month
- On-time delivery status for each month
Weekly KPI meeting of Production team .pptNittamallik216
The document contains month-wise plan vs achievement status reports for June-August 2021 of a factory. Key details include:
- Style production quantities achieved against plan for each month by SMV/complexity levels. June and August achieved over 90% of plan while July achieved 100%.
- Floor targets vs achievement showed the factory achieving 54.1% efficiency on average against the 75% target.
- Machine utilization rates averaged around 70% while worker absenteeism was around 5%.
- The factory made a small profit each month after accounting for non-productive time (around 0.2%) but lost revenue due to not meeting some machine revenue targets.
- On-time delivery performance was
This document contains month-wise production data for June-August 2021. It includes details on style-wise production quantities compared to plan, non-productive time analysis, machine utilization percentages, worker absenteeism rates, profit/loss figures excluding abnormal losses, and on-time delivery status. Key performance indicators such as efficiency, machine running days, and revenue are reported and compared across the three months.
The document summarizes key performance indicators (KPIs) for various departments from monthly knowledge sharing meetings. It includes KPIs such as monthly target vs achievement status, efficiency percentage, product defect rates, revenue, profit/loss, and worker absenteeism. Charts are presented comparing monthly plans to actual results for various metrics. The next steps will be to set performance targets for the next month.
1. The document discusses key performance indicators (KPIs) for planning, production, quality assurance, and human resources for the months of June, July, and August 2021. It includes targets versus achievements for production quantity and efficiency, defect rates, machine utilization, worker absenteeism, and profit/loss.
2. Data on style-wise production quantities, plans versus actuals, and efficiency percentages are provided for analysis. Non-productive time, its value and impact on profit are also detailed.
3. The meeting aims to review past month performance against KPIs and set new targets for the coming month.
1. The document discusses key performance indicators (KPIs) for planning, production, quality assurance, and human resources for the months of June, July, and August 2021. It includes statistics on target vs actual production quantities, style mix, efficiency rates, defects rates, downtime, and employee absenteeism.
2. Production data is presented comparing monthly plans to actual output for quantity, style mix, and efficiency. Quality data includes inspection pass rates and defects. Human resources KPIs cover absenteeism.
3. The final section discusses setting production targets for the next month.
The document summarizes key performance indicators (KPIs) for Palmal Group of Industries' monthly knowledge sharing meeting. It includes KPIs for planning, production, quality assurance, and human resources. Metrics like target vs achievement, efficiency, defects rates, and financials are provided for the previous months. Areas of underperformance are identified and the next month's targets are to be set.
The document summarizes key performance indicators (KPIs) for Palmal Group of Industries' monthly knowledge sharing meeting. It includes KPIs for planning, production, quality assurance, and human resources. Metrics discussed include target vs actual production quantities, efficiency rates, defect rates, employee absenteeism, and monthly profit/loss. Production data is analyzed by style, including quantities and minutes, and compared to monthly targets.
This document contains monthly performance summaries for Palmal Group of Industries from June 2021 to August 2021. Key details include:
- Style-wise production quantities and percentages achieved compared to targets each month.
- Monthly efficiency percentages achieved versus targets.
- Analysis of non-productive time (NPT) minutes, values, percentages and impact on production and revenue.
- Machine utilization and worker absenteeism percentages.
- Monthly profit/loss statuses excluding abnormal losses.
- Revenue achievement statuses compared to per machine targets.
- On-time delivery performance.
This document contains key performance indicator (KPI) metrics for various departments of Palmal Group of Industries that were discussed in their monthly knowledge sharing meeting. It includes KPIs for planning and production such as target achievement, efficiency percentage, quality control pass rate, and machine utilization. It also includes human resources KPIs like worker absenteeism. Charts are provided comparing monthly plans to actuals for various metrics like production quantity and style analysis. Overall production efficiency for the period is reported along with non-productive time stats and monthly profit/loss.
- The document summarizes the monthly performance review meeting of Palmal Group of Industries.
- It discusses various key performance indicators such as production targets vs achievement, efficiency percentage, quality inspection pass rate, worker absenteeism, and profit/loss for the last few months.
- Charts and tables are included that show statistics on style mix, machine utilization, non-productive time, and on-time delivery status to analyze performance against targets.
The document summarizes a monthly knowledge sharing meeting for Palmal Group of Industries. It discusses key performance indicators for various departments, including planning and production, quality assurance, and human resources. Metrics such as target achievement, efficiency rates, defects, machine utilization, and worker absenteeism are analyzed for the previous months. Causes of lower productivity like suboptimal style allocation and delays are also examined. The meeting aims to understand the company's current performance, identify areas for improvement, and set new targets for the following month.
Build applications with generative AI on Google CloudMárton Kodok
We will explore Vertex AI - Model Garden powered experiences, we are going to learn more about the integration of these generative AI APIs. We are going to see in action what the Gemini family of generative models are for developers to build and deploy AI-driven applications. Vertex AI includes a suite of foundation models, these are referred to as the PaLM and Gemini family of generative ai models, and they come in different versions. We are going to cover how to use via API to: - execute prompts in text and chat - cover multimodal use cases with image prompts. - finetune and distill to improve knowledge domains - run function calls with foundation models to optimize them for specific tasks. At the end of the session, developers will understand how to innovate with generative AI and develop apps using the generative ai industry trends.
Discovering Digital Process Twins for What-if Analysis: a Process Mining Appr...Marlon Dumas
This webinar discusses the limitations of traditional approaches for business process simulation based on had-crafted model with restrictive assumptions. It shows how process mining techniques can be assembled together to discover high-fidelity digital twins of end-to-end processes from event data.
Discover the cutting-edge telemetry solution implemented for Alan Wake 2 by Remedy Entertainment in collaboration with AWS. This comprehensive presentation dives into our objectives, detailing how we utilized advanced analytics to drive gameplay improvements and player engagement.
Key highlights include:
Primary Goals: Implementing gameplay and technical telemetry to capture detailed player behavior and game performance data, fostering data-driven decision-making.
Tech Stack: Leveraging AWS services such as EKS for hosting, WAF for security, Karpenter for instance optimization, S3 for data storage, and OpenTelemetry Collector for data collection. EventBridge and Lambda were used for data compression, while Glue ETL and Athena facilitated data transformation and preparation.
Data Utilization: Transforming raw data into actionable insights with technologies like Glue ETL (PySpark scripts), Glue Crawler, and Athena, culminating in detailed visualizations with Tableau.
Achievements: Successfully managing 700 million to 1 billion events per month at a cost-effective rate, with significant savings compared to commercial solutions. This approach has enabled simplified scaling and substantial improvements in game design, reducing player churn through targeted adjustments.
Community Engagement: Enhanced ability to engage with player communities by leveraging precise data insights, despite having a small community management team.
This presentation is an invaluable resource for professionals in game development, data analytics, and cloud computing, offering insights into how telemetry and analytics can revolutionize player experience and game performance optimization.
Did you know that drowning is a leading cause of unintentional death among young children? According to recent data, children aged 1-4 years are at the highest risk. Let's raise awareness and take steps to prevent these tragic incidents. Supervision, barriers around pools, and learning CPR can make a difference. Stay safe this summer!
06-18-2024-Princeton Meetup-Introduction to MilvusTimothy Spann
06-18-2024-Princeton Meetup-Introduction to Milvus
tim.spann@zilliz.com
https://www.linkedin.com/in/timothyspann/
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https://github.com/milvus-io/milvus
Get Milvused!
https://milvus.io/
Read my Newsletter every week!
https://github.com/tspannhw/FLiPStackWeekly/blob/main/142-17June2024.md
For more cool Unstructured Data, AI and Vector Database videos check out the Milvus vector database videos here
https://www.youtube.com/@MilvusVectorDatabase/videos
Unstructured Data Meetups -
https://www.meetup.com/unstructured-data-meetup-new-york/
https://lu.ma/calendar/manage/cal-VNT79trvj0jS8S7
https://www.meetup.com/pro/unstructureddata/
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Invitation to join Discord: https://discord.com/invite/FjCMmaJng6
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Expand LLMs' knowledge by incorporating external data sources into LLMs and your AI applications.
We are pleased to share with you the latest VCOSA statistical report on the cotton and yarn industry for the month of March 2024.
Starting from January 2024, the full weekly and monthly reports will only be available for free to VCOSA members. To access the complete weekly report with figures, charts, and detailed analysis of the cotton fiber market in the past week, interested parties are kindly requested to contact VCOSA to subscribe to the newsletter.
2. Palmal Group of Industries
KRC(U-3&4) Monthly Knowledge Sharing Meeting-KSM
(May-22 To July-22)
Organized by:
Central-IE
Manufacturing Audit & Central Costing
1-1
3. Objectives of the Meeting:
1-2
To review factory last month performance
To understand our present position against
management expectation
To know about the scope of improvement
To set next month performance target
4. Key Discussion points:
1-3
1. Planning, Production & IE KPI:
Monthly Target Vs. achievement status
Monthly Efficiency %
Monthly PCD Hit rate status
Monthly NPT Analysis
Monthly Revenue status
Monthly Profit/Loss status
Monthly Machine utilization %
Operators Skill Matrix Analysis
Monthly Short/excess shipment status
3. Quality Assurance Department KPI:
Monthly Final inspection pass status
Monthly OQL% status
Monthly DHU% status
Monthly Top 5 Defects analysis
Fail report analysis against Top 5 Defect
2. Human Resource Department KPI:
Monthly worker absenteeism status
4. Set next month performance target
31. Factors influencing on efficiency %:
1-30
1. Style Analysis : Allocating the styles in such a way that
maximum line days can be achieved.
2. PCD hit Rate : Ensure PCD to ensure right style line feeding at
right time.
3. Set a standard Target : Target has to be as per feasibility
learning curve to get expected efficiency.
4. Production Monitoring : Ensure process wise production which
leads to target achievement of full line.
5. Line Balancing : Set right person at right place to get maximum
utilization of manpower and get output.
6. Operators Skill Matrix : Identify the right person as per process
& requirement.
7. Operators Availability : Reduction of absenteeism to ensure
operators availability as per requirement.