SlideShare a Scribd company logo
The Process of Human Resource Planning

• Organizations need to do human resource
  planning so they can meet business objectives
  and gain a competitive advantage over
  competitors.

  – Human resource planning compares the present state
    of the organization with its goals for the future
  – Then identifies what changes it must make in its
    human resources to meet those goals
Overview of the Human Resource Planning
                 Process
Human Resource Forecasting
• HR Forecasting attempts      There are three major
  to determine the supply      steps to forecasting:
  and demand for various
  types of human resources, 1. Forecasting the demand
  and to predict areas         for labor
  within the organization   2. Determining labor
  where there will be labor    supply
  shortages or surpluses.   3. Determining labor
                               surpluses and shortages
HUMAN RESOURCE PLANNING

FORECASTING HR REQUIREMENTS (DEMAND ANALYSIS)
  (Trying to predict future staffing needs)
       Managerial Estimates
       Sales Projections
       Simulations
       Vacancy Analysis (projected turnover)

FORECASTING HR AVAILABILITY (SUPPLY ANALYSIS)
  (Predicting worker flows and availabilities)
       Succession or Replacement Charts
       Skills Inventories (use of HRIS)
       Labor Market Analysis
       Markov Analysis (Transition Matrix)
       Personnel Ratios
Forecasting the Demand for Labor

Trend Analysis
• Constructing and applying statistical models that predict
  labor demand for the next year, given relatively objective
  statistics from the previous year.

Leading Indicators
• Objective measures that accurately predict future labor
  demand.
CORRELATIONS/PROJECTIONS


SIZE OF HOSPITAL   NUMBER OF NURSES


      200               240
      300               260
      400               470
      500               500
      600               620
      700               660
      800               820
      900               860
SIMULATION MODEL/REGRESSION FORECAST

         TARGET STORES STAFFING FORECAST

MODEL
   Y = 8 + .0011(X1) + .00004(X2) + .02(X3)

Y = Number of employees needed to staff the store
X1 = Square feet of sales space
X2 = Population of metropolitan area
X3 = Projected annual disposable income in millions of dollars

   Y = 8 + .0011(50,000sq ft) + .00004(150,000popul) + .00000002($850 million)


   Y = 8 + 55 + 6 + 17

   Y = 86 employees needed at this store
VACANCY ANALYSIS
               Historic departures used to project turnover

LEVEL         # EMPL    TURN %    Expected Vacancies   Expected to Remain



TOP MGMT      100       20 %                 20                   80

MID MGMT      200       24 %                 48                  152

LOW MGMT      600       22 %                 132                 468

SKILLED W     600       16%                  96                  504

ASSY WKRS     2000      12 %                 240                 1760

TOTALS        3500                           536                 2964

AVERAGE TURNOVER PERCENTAGE = 536 / 3500 =              .1531
Determining Labor Supply
                     Predicting Worker Flows and Availabilities



• Succession or Replacement Charts
Who has been groomed/developed and is ready for promotion right NOW?
• Human Resource Information Systems (HRIS)
An employee database that can be searched when vacancies occur.
• Transition Matrices (Markov Analysis)
A chart that lists job categories held in one period and shows the proportion of
    employees in each of those job categories in a future period.
It answers two questions:
1. “Where did people in each job category go?”
2. “Where did people now in each job category come from?
• Personnel / Yield Ratios
How much work will it take to recruit one new accountant?
SUCCESSION PLANNING
REPLACEMENT CHART
   FOR EXECUTIVE POSITIONS

POSITION REPLACEMENT CARDS
   FOR EACH INDIVIDUAL POSITION


------------------------------------------------------------------------
POSITION              WESTERN DIVISION SALES MANAGER

DANIEL BEALER         Western Division Sales Mgr     Outstanding    Ready Now

                                                     PRESENT        PROMOTION
POSSIBLE CANDIDATES     CURRENT POSITION             PERFORMANCE    POTENTIAL

SHARON GREEN          Western Oregon Sales Manager   Outstanding
   Ready Now
GEORGE WEI            N. California Sales Manager    Outstanding
   Needs Training
HARRY SHOW            Idaho/Utah Sales Manager       Satisfactory   Needs Training
TRAVIS WOOD           Seattle Area Sales Manager     Satisfactory   Questionable

-------------------------------------------------------------------------
HUMAN RESOURCE INFORMATION SYSTEMS
                 (HRIS)
PERSONAL DATA
  Age, Gender, Dependents, Marital status, etc
EDUCATION & SKILLS
  Degrees earned, Licenses, Certifications
  Languages spoken, Specialty skills
  Ability/knowledge to operate specific machines/equipment/software
JOB HISTORY
  Job Titles held, Location in Company, Time in each position, etc.
  Performance appraisals, Promotions received, Training & Development
MEMBERSHIPS & ACHIEVEMENTS
  Professional Associations, Recognition and Notable accomplishments
PREFERENCES & INTERESTS
  Career goals, Types of positions sought
  Geographic preferences
CAPACITY FOR GROWTH
  Potential for advancement, upward mobility and growth in the company
Transition Matrix
Example for an Auto Parts Manufacturer
MARKOV ANALYSIS
                (STATISTICAL REPLACEMENT ANALYSIS)

        TO:              A TRANSITION MATRIX
FROM:
        TOP      MID      LOW    SKILLED   ASSY   EXIT

 TOP     .80      .02                                .18

 MID     .10      .76      .04                       .10

LOW               .06     .78      .01               .15

SKILL                     .01      .84               .15

ASSY                          .05     .88     .07
        ------------------------------------------
MARKOV ANALYSIS – 2
                      (Captures effects of internal transfers)

(Start = 3500)               A TRANSITION MATRIX
FROM/ TO:        TOP        MID   LOW SKILLED                   ASSY    EXIT
TOP      100       .80        .02                                         .18

MID     200        .10        .76        .04                              .10

LOW     600                   .06        .78         .01                  .15

SKILL 600                                .01         .84                  .15

ASSY 2000                           .05     .88    .07
---------------------------------------------------------
END YR WITH:      100       190         482         610          1760   [358 left]
NEED RECRUITS ?   0           10        118                      240*    368 tot
NEED LAYOFFS ?                                      (10)*                (10) tot
KEEP STABLE 100              200        600         600          2000 = 3500 Tot
MARKOV ANALYSIS – 3
                  (Anticipates Changes in Employment Levels)

Employment needs are changing. We need a 10% increase in skilled workers
   (660), and a 15% decrease in assembly workers (1700) by year’s end.
-------------------------------------------------------
(Start = 3500)            A TRANSITION MATRIX
FROM/ TO:         TOP     MID      LOW SKILLED ASSY               EXIT
TOP      100        .80     .02                                      .18
MID      200        .10     .76      .04                             .10
LOW       600               .06      .78      .01                    .15
SKILL 600                            .01      .84                    .15
ASSY 2000                                     .05        .88        .07
---------------------------------------------------------
END YR WITH:       100     190       482        610        1760        [358 left]
NEED RECRUITS ?    0        10       118         50*
NEED LAYOFFS ?                                                 (60)*
NEW LEVELS 100            200        600        600            1700 = 3260 tot
Determining Labor Surplus or Shortage

• Based on the forecasts for labor demand and
  supply, the planner can compare the figures to
  determine whether there will be a shortage or
  surplus of labor for each job category.
• Determining expected shortages and surpluses
  allows the organization to plan how to address
  these challenges.
PERSONNEL / YIELD RATIOS
Past experience has developed these yield ratios for recruiting a Cost Accountant:

FOR EVERY 12 APPLICATIONS RECEIVED, ONLY 1 LOOKS
  PROMISING ENOUGH TO INVITE FOR AN INTERVIEW

OF EVERY 5 PERSONS INTERVIEWED, ONLY 1 IS ACTUALLY
  OFFERED A POSITION IN THE ORGANIZATION

OF EVERY 3 JOB OFFERS MADE, ONLY 2 ACCEPT THE POSITION

OF EVERY 10 NEW WORKERS WHO BEGIN THE TRAINING
  PROGRAM, ONLY 9 SUCCESSFULLY COMPLETE THE PROGRAM

THUS:                100 APPLICATIONS MUST BE RECEIVED, so that
                     8.33 JOB INTERVIEWS CAN BE HELD, so that
                     1.67 JOB OFFERS CAN BE MADE, and
                     1.11 PEOPLE MUST BE TRAINED, so that we get
                     ONE NEW COST ACCOUNTANT!!!

More Related Content

Similar to Hrp

Workforce Optimum Utilization Planning Powerpoint Presentation Slides
Workforce Optimum Utilization Planning Powerpoint Presentation SlidesWorkforce Optimum Utilization Planning Powerpoint Presentation Slides
Workforce Optimum Utilization Planning Powerpoint Presentation Slides
SlideTeam
 
Execution plans for mere mortals
Execution plans for mere mortalsExecution plans for mere mortals
Execution plans for mere mortals
Mike Lawell
 
Mike lawell executionplansformeremortals_2015
Mike lawell executionplansformeremortals_2015Mike lawell executionplansformeremortals_2015
Mike lawell executionplansformeremortals_2015
mlawell
 
Oracle Advanced SQL
Oracle Advanced SQLOracle Advanced SQL
Oracle Advanced SQL
Marcin Blaszczyk
 
Latin America Tour 2019 - pattern matching
Latin America Tour 2019 - pattern matchingLatin America Tour 2019 - pattern matching
Latin America Tour 2019 - pattern matching
Connor McDonald
 
Eleventy Marketing Intelligence presentation
Eleventy Marketing Intelligence presentationEleventy Marketing Intelligence presentation
Eleventy Marketing Intelligence presentation
Jeff Birkner
 
P. Kropp, B. Shwengler, Applying the TTWA method to German data
P. Kropp,  B. Shwengler, Applying the TTWA method to German dataP. Kropp,  B. Shwengler, Applying the TTWA method to German data
P. Kropp, B. Shwengler, Applying the TTWA method to German data
Istituto nazionale di statistica
 
Understand the Query Plan to Optimize Performance with EXPLAIN and EXPLAIN AN...
Understand the Query Plan to Optimize Performance with EXPLAIN and EXPLAIN AN...Understand the Query Plan to Optimize Performance with EXPLAIN and EXPLAIN AN...
Understand the Query Plan to Optimize Performance with EXPLAIN and EXPLAIN AN...
EDB
 
Week 2 Individual Assignment 2 Quantitative Analysis of Credit - .docx
Week 2 Individual Assignment 2 Quantitative Analysis of Credit - .docxWeek 2 Individual Assignment 2 Quantitative Analysis of Credit - .docx
Week 2 Individual Assignment 2 Quantitative Analysis of Credit - .docx
jessiehampson
 
ICICI Prudential Quant Fund
ICICI Prudential Quant FundICICI Prudential Quant Fund
ICICI Prudential Quant Fund
iciciprumf
 
Pattern Matching with SQL - APEX World Rotterdam 2019
Pattern Matching with SQL - APEX World Rotterdam 2019Pattern Matching with SQL - APEX World Rotterdam 2019
Pattern Matching with SQL - APEX World Rotterdam 2019
Connor McDonald
 
Data cogitate copart
Data cogitate copartData cogitate copart
Data cogitate copart
Jatin Garg
 
Database management system file
Database management system fileDatabase management system file
Database management system file
Ankit Dixit
 
Enterprise Resource Management Procedures
Enterprise Resource Management ProceduresEnterprise Resource Management Procedures
Enterprise Resource Management Procedures
David A. Iannone
 
Sadguruppt
SadgurupptSadguruppt
Sadguruppt
Maxpromotion
 
Latin America Tour 2019 - 10 great sql features
Latin America Tour 2019  - 10 great sql featuresLatin America Tour 2019  - 10 great sql features
Latin America Tour 2019 - 10 great sql features
Connor McDonald
 
Undrop for InnoDB
Undrop for InnoDBUndrop for InnoDB
Undrop for InnoDB
Aleksandr Kuzminsky
 
Data Exploration with Apache Drill: Day 2
Data Exploration with Apache Drill: Day 2Data Exploration with Apache Drill: Day 2
Data Exploration with Apache Drill: Day 2
Charles Givre
 
NC soft 036570 Algorithm Investment Report
NC soft 036570 Algorithm Investment ReportNC soft 036570 Algorithm Investment Report
NC soft 036570 Algorithm Investment Report
알고리즘 기업분석 컨설팅-알기컨,algikeon
 
BUSINESS STATISTICS IMPORTANT QUESTIONS LIST
BUSINESS STATISTICS IMPORTANT QUESTIONS LISTBUSINESS STATISTICS IMPORTANT QUESTIONS LIST
BUSINESS STATISTICS IMPORTANT QUESTIONS LIST
RAJASEKHAR REDDY
 

Similar to Hrp (20)

Workforce Optimum Utilization Planning Powerpoint Presentation Slides
Workforce Optimum Utilization Planning Powerpoint Presentation SlidesWorkforce Optimum Utilization Planning Powerpoint Presentation Slides
Workforce Optimum Utilization Planning Powerpoint Presentation Slides
 
Execution plans for mere mortals
Execution plans for mere mortalsExecution plans for mere mortals
Execution plans for mere mortals
 
Mike lawell executionplansformeremortals_2015
Mike lawell executionplansformeremortals_2015Mike lawell executionplansformeremortals_2015
Mike lawell executionplansformeremortals_2015
 
Oracle Advanced SQL
Oracle Advanced SQLOracle Advanced SQL
Oracle Advanced SQL
 
Latin America Tour 2019 - pattern matching
Latin America Tour 2019 - pattern matchingLatin America Tour 2019 - pattern matching
Latin America Tour 2019 - pattern matching
 
Eleventy Marketing Intelligence presentation
Eleventy Marketing Intelligence presentationEleventy Marketing Intelligence presentation
Eleventy Marketing Intelligence presentation
 
P. Kropp, B. Shwengler, Applying the TTWA method to German data
P. Kropp,  B. Shwengler, Applying the TTWA method to German dataP. Kropp,  B. Shwengler, Applying the TTWA method to German data
P. Kropp, B. Shwengler, Applying the TTWA method to German data
 
Understand the Query Plan to Optimize Performance with EXPLAIN and EXPLAIN AN...
Understand the Query Plan to Optimize Performance with EXPLAIN and EXPLAIN AN...Understand the Query Plan to Optimize Performance with EXPLAIN and EXPLAIN AN...
Understand the Query Plan to Optimize Performance with EXPLAIN and EXPLAIN AN...
 
Week 2 Individual Assignment 2 Quantitative Analysis of Credit - .docx
Week 2 Individual Assignment 2 Quantitative Analysis of Credit - .docxWeek 2 Individual Assignment 2 Quantitative Analysis of Credit - .docx
Week 2 Individual Assignment 2 Quantitative Analysis of Credit - .docx
 
ICICI Prudential Quant Fund
ICICI Prudential Quant FundICICI Prudential Quant Fund
ICICI Prudential Quant Fund
 
Pattern Matching with SQL - APEX World Rotterdam 2019
Pattern Matching with SQL - APEX World Rotterdam 2019Pattern Matching with SQL - APEX World Rotterdam 2019
Pattern Matching with SQL - APEX World Rotterdam 2019
 
Data cogitate copart
Data cogitate copartData cogitate copart
Data cogitate copart
 
Database management system file
Database management system fileDatabase management system file
Database management system file
 
Enterprise Resource Management Procedures
Enterprise Resource Management ProceduresEnterprise Resource Management Procedures
Enterprise Resource Management Procedures
 
Sadguruppt
SadgurupptSadguruppt
Sadguruppt
 
Latin America Tour 2019 - 10 great sql features
Latin America Tour 2019  - 10 great sql featuresLatin America Tour 2019  - 10 great sql features
Latin America Tour 2019 - 10 great sql features
 
Undrop for InnoDB
Undrop for InnoDBUndrop for InnoDB
Undrop for InnoDB
 
Data Exploration with Apache Drill: Day 2
Data Exploration with Apache Drill: Day 2Data Exploration with Apache Drill: Day 2
Data Exploration with Apache Drill: Day 2
 
NC soft 036570 Algorithm Investment Report
NC soft 036570 Algorithm Investment ReportNC soft 036570 Algorithm Investment Report
NC soft 036570 Algorithm Investment Report
 
BUSINESS STATISTICS IMPORTANT QUESTIONS LIST
BUSINESS STATISTICS IMPORTANT QUESTIONS LISTBUSINESS STATISTICS IMPORTANT QUESTIONS LIST
BUSINESS STATISTICS IMPORTANT QUESTIONS LIST
 

Recently uploaded

NEWSPAPERS - QUESTION 1 - REVISION POWERPOINT.pptx
NEWSPAPERS - QUESTION 1 - REVISION POWERPOINT.pptxNEWSPAPERS - QUESTION 1 - REVISION POWERPOINT.pptx
NEWSPAPERS - QUESTION 1 - REVISION POWERPOINT.pptx
iammrhaywood
 
Bonku-Babus-Friend by Sathyajith Ray (9)
Bonku-Babus-Friend by Sathyajith Ray  (9)Bonku-Babus-Friend by Sathyajith Ray  (9)
Bonku-Babus-Friend by Sathyajith Ray (9)
nitinpv4ai
 
BIOLOGY NATIONAL EXAMINATION COUNCIL (NECO) 2024 PRACTICAL MANUAL.pptx
BIOLOGY NATIONAL EXAMINATION COUNCIL (NECO) 2024 PRACTICAL MANUAL.pptxBIOLOGY NATIONAL EXAMINATION COUNCIL (NECO) 2024 PRACTICAL MANUAL.pptx
BIOLOGY NATIONAL EXAMINATION COUNCIL (NECO) 2024 PRACTICAL MANUAL.pptx
RidwanHassanYusuf
 
Leveraging Generative AI to Drive Nonprofit Innovation
Leveraging Generative AI to Drive Nonprofit InnovationLeveraging Generative AI to Drive Nonprofit Innovation
Leveraging Generative AI to Drive Nonprofit Innovation
TechSoup
 
Haunted Houses by H W Longfellow for class 10
Haunted Houses by H W Longfellow for class 10Haunted Houses by H W Longfellow for class 10
Haunted Houses by H W Longfellow for class 10
nitinpv4ai
 
How Barcodes Can Be Leveraged Within Odoo 17
How Barcodes Can Be Leveraged Within Odoo 17How Barcodes Can Be Leveraged Within Odoo 17
How Barcodes Can Be Leveraged Within Odoo 17
Celine George
 
مصحف القراءات العشر أعد أحرف الخلاف سمير بسيوني.pdf
مصحف القراءات العشر   أعد أحرف الخلاف سمير بسيوني.pdfمصحف القراءات العشر   أعد أحرف الخلاف سمير بسيوني.pdf
مصحف القراءات العشر أعد أحرف الخلاف سمير بسيوني.pdf
سمير بسيوني
 
NIPER 2024 MEMORY BASED QUESTIONS.ANSWERS TO NIPER 2024 QUESTIONS.NIPER JEE 2...
NIPER 2024 MEMORY BASED QUESTIONS.ANSWERS TO NIPER 2024 QUESTIONS.NIPER JEE 2...NIPER 2024 MEMORY BASED QUESTIONS.ANSWERS TO NIPER 2024 QUESTIONS.NIPER JEE 2...
NIPER 2024 MEMORY BASED QUESTIONS.ANSWERS TO NIPER 2024 QUESTIONS.NIPER JEE 2...
Payaamvohra1
 
Andreas Schleicher presents PISA 2022 Volume III - Creative Thinking - 18 Jun...
Andreas Schleicher presents PISA 2022 Volume III - Creative Thinking - 18 Jun...Andreas Schleicher presents PISA 2022 Volume III - Creative Thinking - 18 Jun...
Andreas Schleicher presents PISA 2022 Volume III - Creative Thinking - 18 Jun...
EduSkills OECD
 
CIS 4200-02 Group 1 Final Project Report (1).pdf
CIS 4200-02 Group 1 Final Project Report (1).pdfCIS 4200-02 Group 1 Final Project Report (1).pdf
CIS 4200-02 Group 1 Final Project Report (1).pdf
blueshagoo1
 
A Visual Guide to 1 Samuel | A Tale of Two Hearts
A Visual Guide to 1 Samuel | A Tale of Two HeartsA Visual Guide to 1 Samuel | A Tale of Two Hearts
A Visual Guide to 1 Samuel | A Tale of Two Hearts
Steve Thomason
 
skeleton System.pdf (skeleton system wow)
skeleton System.pdf (skeleton system wow)skeleton System.pdf (skeleton system wow)
skeleton System.pdf (skeleton system wow)
Mohammad Al-Dhahabi
 
How to Download & Install Module From the Odoo App Store in Odoo 17
How to Download & Install Module From the Odoo App Store in Odoo 17How to Download & Install Module From the Odoo App Store in Odoo 17
How to Download & Install Module From the Odoo App Store in Odoo 17
Celine George
 
How to Manage Reception Report in Odoo 17
How to Manage Reception Report in Odoo 17How to Manage Reception Report in Odoo 17
How to Manage Reception Report in Odoo 17
Celine George
 
Skimbleshanks-The-Railway-Cat by T S Eliot
Skimbleshanks-The-Railway-Cat by T S EliotSkimbleshanks-The-Railway-Cat by T S Eliot
Skimbleshanks-The-Railway-Cat by T S Eliot
nitinpv4ai
 
Juneteenth Freedom Day 2024 David Douglas School District
Juneteenth Freedom Day 2024 David Douglas School DistrictJuneteenth Freedom Day 2024 David Douglas School District
Juneteenth Freedom Day 2024 David Douglas School District
David Douglas School District
 
SWOT analysis in the project Keeping the Memory @live.pptx
SWOT analysis in the project Keeping the Memory @live.pptxSWOT analysis in the project Keeping the Memory @live.pptx
SWOT analysis in the project Keeping the Memory @live.pptx
zuzanka
 
REASIGNACION 2024 UGEL CHUPACA 2024 UGEL CHUPACA.pdf
REASIGNACION 2024 UGEL CHUPACA 2024 UGEL CHUPACA.pdfREASIGNACION 2024 UGEL CHUPACA 2024 UGEL CHUPACA.pdf
REASIGNACION 2024 UGEL CHUPACA 2024 UGEL CHUPACA.pdf
giancarloi8888
 
Level 3 NCEA - NZ: A Nation In the Making 1872 - 1900 SML.ppt
Level 3 NCEA - NZ: A  Nation In the Making 1872 - 1900 SML.pptLevel 3 NCEA - NZ: A  Nation In the Making 1872 - 1900 SML.ppt
Level 3 NCEA - NZ: A Nation In the Making 1872 - 1900 SML.ppt
Henry Hollis
 
Standardized tool for Intelligence test.
Standardized tool for Intelligence test.Standardized tool for Intelligence test.
Standardized tool for Intelligence test.
deepaannamalai16
 

Recently uploaded (20)

NEWSPAPERS - QUESTION 1 - REVISION POWERPOINT.pptx
NEWSPAPERS - QUESTION 1 - REVISION POWERPOINT.pptxNEWSPAPERS - QUESTION 1 - REVISION POWERPOINT.pptx
NEWSPAPERS - QUESTION 1 - REVISION POWERPOINT.pptx
 
Bonku-Babus-Friend by Sathyajith Ray (9)
Bonku-Babus-Friend by Sathyajith Ray  (9)Bonku-Babus-Friend by Sathyajith Ray  (9)
Bonku-Babus-Friend by Sathyajith Ray (9)
 
BIOLOGY NATIONAL EXAMINATION COUNCIL (NECO) 2024 PRACTICAL MANUAL.pptx
BIOLOGY NATIONAL EXAMINATION COUNCIL (NECO) 2024 PRACTICAL MANUAL.pptxBIOLOGY NATIONAL EXAMINATION COUNCIL (NECO) 2024 PRACTICAL MANUAL.pptx
BIOLOGY NATIONAL EXAMINATION COUNCIL (NECO) 2024 PRACTICAL MANUAL.pptx
 
Leveraging Generative AI to Drive Nonprofit Innovation
Leveraging Generative AI to Drive Nonprofit InnovationLeveraging Generative AI to Drive Nonprofit Innovation
Leveraging Generative AI to Drive Nonprofit Innovation
 
Haunted Houses by H W Longfellow for class 10
Haunted Houses by H W Longfellow for class 10Haunted Houses by H W Longfellow for class 10
Haunted Houses by H W Longfellow for class 10
 
How Barcodes Can Be Leveraged Within Odoo 17
How Barcodes Can Be Leveraged Within Odoo 17How Barcodes Can Be Leveraged Within Odoo 17
How Barcodes Can Be Leveraged Within Odoo 17
 
مصحف القراءات العشر أعد أحرف الخلاف سمير بسيوني.pdf
مصحف القراءات العشر   أعد أحرف الخلاف سمير بسيوني.pdfمصحف القراءات العشر   أعد أحرف الخلاف سمير بسيوني.pdf
مصحف القراءات العشر أعد أحرف الخلاف سمير بسيوني.pdf
 
NIPER 2024 MEMORY BASED QUESTIONS.ANSWERS TO NIPER 2024 QUESTIONS.NIPER JEE 2...
NIPER 2024 MEMORY BASED QUESTIONS.ANSWERS TO NIPER 2024 QUESTIONS.NIPER JEE 2...NIPER 2024 MEMORY BASED QUESTIONS.ANSWERS TO NIPER 2024 QUESTIONS.NIPER JEE 2...
NIPER 2024 MEMORY BASED QUESTIONS.ANSWERS TO NIPER 2024 QUESTIONS.NIPER JEE 2...
 
Andreas Schleicher presents PISA 2022 Volume III - Creative Thinking - 18 Jun...
Andreas Schleicher presents PISA 2022 Volume III - Creative Thinking - 18 Jun...Andreas Schleicher presents PISA 2022 Volume III - Creative Thinking - 18 Jun...
Andreas Schleicher presents PISA 2022 Volume III - Creative Thinking - 18 Jun...
 
CIS 4200-02 Group 1 Final Project Report (1).pdf
CIS 4200-02 Group 1 Final Project Report (1).pdfCIS 4200-02 Group 1 Final Project Report (1).pdf
CIS 4200-02 Group 1 Final Project Report (1).pdf
 
A Visual Guide to 1 Samuel | A Tale of Two Hearts
A Visual Guide to 1 Samuel | A Tale of Two HeartsA Visual Guide to 1 Samuel | A Tale of Two Hearts
A Visual Guide to 1 Samuel | A Tale of Two Hearts
 
skeleton System.pdf (skeleton system wow)
skeleton System.pdf (skeleton system wow)skeleton System.pdf (skeleton system wow)
skeleton System.pdf (skeleton system wow)
 
How to Download & Install Module From the Odoo App Store in Odoo 17
How to Download & Install Module From the Odoo App Store in Odoo 17How to Download & Install Module From the Odoo App Store in Odoo 17
How to Download & Install Module From the Odoo App Store in Odoo 17
 
How to Manage Reception Report in Odoo 17
How to Manage Reception Report in Odoo 17How to Manage Reception Report in Odoo 17
How to Manage Reception Report in Odoo 17
 
Skimbleshanks-The-Railway-Cat by T S Eliot
Skimbleshanks-The-Railway-Cat by T S EliotSkimbleshanks-The-Railway-Cat by T S Eliot
Skimbleshanks-The-Railway-Cat by T S Eliot
 
Juneteenth Freedom Day 2024 David Douglas School District
Juneteenth Freedom Day 2024 David Douglas School DistrictJuneteenth Freedom Day 2024 David Douglas School District
Juneteenth Freedom Day 2024 David Douglas School District
 
SWOT analysis in the project Keeping the Memory @live.pptx
SWOT analysis in the project Keeping the Memory @live.pptxSWOT analysis in the project Keeping the Memory @live.pptx
SWOT analysis in the project Keeping the Memory @live.pptx
 
REASIGNACION 2024 UGEL CHUPACA 2024 UGEL CHUPACA.pdf
REASIGNACION 2024 UGEL CHUPACA 2024 UGEL CHUPACA.pdfREASIGNACION 2024 UGEL CHUPACA 2024 UGEL CHUPACA.pdf
REASIGNACION 2024 UGEL CHUPACA 2024 UGEL CHUPACA.pdf
 
Level 3 NCEA - NZ: A Nation In the Making 1872 - 1900 SML.ppt
Level 3 NCEA - NZ: A  Nation In the Making 1872 - 1900 SML.pptLevel 3 NCEA - NZ: A  Nation In the Making 1872 - 1900 SML.ppt
Level 3 NCEA - NZ: A Nation In the Making 1872 - 1900 SML.ppt
 
Standardized tool for Intelligence test.
Standardized tool for Intelligence test.Standardized tool for Intelligence test.
Standardized tool for Intelligence test.
 

Hrp

  • 1. The Process of Human Resource Planning • Organizations need to do human resource planning so they can meet business objectives and gain a competitive advantage over competitors. – Human resource planning compares the present state of the organization with its goals for the future – Then identifies what changes it must make in its human resources to meet those goals
  • 2. Overview of the Human Resource Planning Process
  • 3. Human Resource Forecasting • HR Forecasting attempts There are three major to determine the supply steps to forecasting: and demand for various types of human resources, 1. Forecasting the demand and to predict areas for labor within the organization 2. Determining labor where there will be labor supply shortages or surpluses. 3. Determining labor surpluses and shortages
  • 4. HUMAN RESOURCE PLANNING FORECASTING HR REQUIREMENTS (DEMAND ANALYSIS) (Trying to predict future staffing needs) Managerial Estimates Sales Projections Simulations Vacancy Analysis (projected turnover) FORECASTING HR AVAILABILITY (SUPPLY ANALYSIS) (Predicting worker flows and availabilities) Succession or Replacement Charts Skills Inventories (use of HRIS) Labor Market Analysis Markov Analysis (Transition Matrix) Personnel Ratios
  • 5. Forecasting the Demand for Labor Trend Analysis • Constructing and applying statistical models that predict labor demand for the next year, given relatively objective statistics from the previous year. Leading Indicators • Objective measures that accurately predict future labor demand.
  • 6. CORRELATIONS/PROJECTIONS SIZE OF HOSPITAL NUMBER OF NURSES 200 240 300 260 400 470 500 500 600 620 700 660 800 820 900 860
  • 7. SIMULATION MODEL/REGRESSION FORECAST TARGET STORES STAFFING FORECAST MODEL Y = 8 + .0011(X1) + .00004(X2) + .02(X3) Y = Number of employees needed to staff the store X1 = Square feet of sales space X2 = Population of metropolitan area X3 = Projected annual disposable income in millions of dollars Y = 8 + .0011(50,000sq ft) + .00004(150,000popul) + .00000002($850 million) Y = 8 + 55 + 6 + 17 Y = 86 employees needed at this store
  • 8. VACANCY ANALYSIS Historic departures used to project turnover LEVEL # EMPL TURN % Expected Vacancies Expected to Remain TOP MGMT 100 20 % 20 80 MID MGMT 200 24 % 48 152 LOW MGMT 600 22 % 132 468 SKILLED W 600 16% 96 504 ASSY WKRS 2000 12 % 240 1760 TOTALS 3500 536 2964 AVERAGE TURNOVER PERCENTAGE = 536 / 3500 = .1531
  • 9. Determining Labor Supply Predicting Worker Flows and Availabilities • Succession or Replacement Charts Who has been groomed/developed and is ready for promotion right NOW? • Human Resource Information Systems (HRIS) An employee database that can be searched when vacancies occur. • Transition Matrices (Markov Analysis) A chart that lists job categories held in one period and shows the proportion of employees in each of those job categories in a future period. It answers two questions: 1. “Where did people in each job category go?” 2. “Where did people now in each job category come from? • Personnel / Yield Ratios How much work will it take to recruit one new accountant?
  • 10. SUCCESSION PLANNING REPLACEMENT CHART FOR EXECUTIVE POSITIONS POSITION REPLACEMENT CARDS FOR EACH INDIVIDUAL POSITION ------------------------------------------------------------------------ POSITION WESTERN DIVISION SALES MANAGER DANIEL BEALER Western Division Sales Mgr Outstanding Ready Now PRESENT PROMOTION POSSIBLE CANDIDATES CURRENT POSITION PERFORMANCE POTENTIAL SHARON GREEN Western Oregon Sales Manager Outstanding Ready Now GEORGE WEI N. California Sales Manager Outstanding Needs Training HARRY SHOW Idaho/Utah Sales Manager Satisfactory Needs Training TRAVIS WOOD Seattle Area Sales Manager Satisfactory Questionable -------------------------------------------------------------------------
  • 11. HUMAN RESOURCE INFORMATION SYSTEMS (HRIS) PERSONAL DATA Age, Gender, Dependents, Marital status, etc EDUCATION & SKILLS Degrees earned, Licenses, Certifications Languages spoken, Specialty skills Ability/knowledge to operate specific machines/equipment/software JOB HISTORY Job Titles held, Location in Company, Time in each position, etc. Performance appraisals, Promotions received, Training & Development MEMBERSHIPS & ACHIEVEMENTS Professional Associations, Recognition and Notable accomplishments PREFERENCES & INTERESTS Career goals, Types of positions sought Geographic preferences CAPACITY FOR GROWTH Potential for advancement, upward mobility and growth in the company
  • 12. Transition Matrix Example for an Auto Parts Manufacturer
  • 13. MARKOV ANALYSIS (STATISTICAL REPLACEMENT ANALYSIS) TO:  A TRANSITION MATRIX FROM: TOP MID LOW SKILLED ASSY EXIT TOP .80 .02 .18 MID .10 .76 .04 .10 LOW .06 .78 .01 .15 SKILL .01 .84 .15 ASSY .05 .88 .07 ------------------------------------------
  • 14. MARKOV ANALYSIS – 2 (Captures effects of internal transfers) (Start = 3500) A TRANSITION MATRIX FROM/ TO:  TOP MID LOW SKILLED ASSY EXIT TOP 100 .80 .02 .18 MID 200 .10 .76 .04 .10 LOW 600 .06 .78 .01 .15 SKILL 600 .01 .84 .15 ASSY 2000 .05 .88 .07 --------------------------------------------------------- END YR WITH: 100 190 482 610 1760 [358 left] NEED RECRUITS ? 0 10 118 240* 368 tot NEED LAYOFFS ? (10)* (10) tot KEEP STABLE 100 200 600 600 2000 = 3500 Tot
  • 15. MARKOV ANALYSIS – 3 (Anticipates Changes in Employment Levels) Employment needs are changing. We need a 10% increase in skilled workers (660), and a 15% decrease in assembly workers (1700) by year’s end. ------------------------------------------------------- (Start = 3500) A TRANSITION MATRIX FROM/ TO:  TOP MID LOW SKILLED ASSY EXIT TOP 100 .80 .02 .18 MID 200 .10 .76 .04 .10 LOW 600 .06 .78 .01 .15 SKILL 600 .01 .84 .15 ASSY 2000 .05 .88 .07 --------------------------------------------------------- END YR WITH: 100 190 482 610 1760 [358 left] NEED RECRUITS ? 0 10 118 50* NEED LAYOFFS ? (60)* NEW LEVELS 100 200 600 600 1700 = 3260 tot
  • 16. Determining Labor Surplus or Shortage • Based on the forecasts for labor demand and supply, the planner can compare the figures to determine whether there will be a shortage or surplus of labor for each job category. • Determining expected shortages and surpluses allows the organization to plan how to address these challenges.
  • 17. PERSONNEL / YIELD RATIOS Past experience has developed these yield ratios for recruiting a Cost Accountant: FOR EVERY 12 APPLICATIONS RECEIVED, ONLY 1 LOOKS PROMISING ENOUGH TO INVITE FOR AN INTERVIEW OF EVERY 5 PERSONS INTERVIEWED, ONLY 1 IS ACTUALLY OFFERED A POSITION IN THE ORGANIZATION OF EVERY 3 JOB OFFERS MADE, ONLY 2 ACCEPT THE POSITION OF EVERY 10 NEW WORKERS WHO BEGIN THE TRAINING PROGRAM, ONLY 9 SUCCESSFULLY COMPLETE THE PROGRAM THUS: 100 APPLICATIONS MUST BE RECEIVED, so that 8.33 JOB INTERVIEWS CAN BE HELD, so that 1.67 JOB OFFERS CAN BE MADE, and 1.11 PEOPLE MUST BE TRAINED, so that we get ONE NEW COST ACCOUNTANT!!!

Editor's Notes

  1. Trends and events that affect the economy also create opportunities and problems in obtaining human resources. To prepare for and respond to these challenges, organizations engage in human resource planning – defined in Chapter 1 as identifying the numbers and types of employees the organization will require to meet its objectives.
  2. Figure 5.1 shows the human resource planning process. The process consists of three stages: Forecasting Goal setting and strategic planning Program implementation and evaluation
  3. The first step in human resource planning is forecasting. The primary goal is to predict which areas of the organization will experience labor shortages or surpluses.
  4. Usually an organization forecasts demand for specific job categories or skill areas. After identifying the relevant job categories or skills, the planner investigates the likely demand for each. The planner must forecast whether the need for people with the necessary skills and experience will increase or decrease. There are several ways of making such forecasts.
  5. Once a company has forecast the demand for labor, it needs an indication of the firm’s labor supply.
  6. Table 5.1 is an example of a transitional matrix. Matrices such as this one are extremely useful for charting historical trends in the company’s labor supply.
  7. Issues related to a labor surplus or shortage can pose serious challenges for the organization.