HRM 595 Week 2 Forecasting HR Needs Example

How Many Technicians Does 30 Percent Growth Require? Forecasting Prairie Crest Wind Services' Workforce Needs Through 2030

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University of Phoenix

HRM/595: Human Resource Capstone Course

Week 2 Assignment

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[Date]

Prairie Crest Wind Services and all workforce figures are composites written for a model paper.

Prairie Crest Wind Services, the composite Des Moines-based wind maintenance company from Week 1, plans to grow revenue 30 percent by 2030 by adding service contracts, winning repowering work and entering blade repair. The Week 1 alignment analysis found that the company has no workforce forecast and hires reactively. Leadership now needs to know how many people, of what kinds, the strategy requires and how many the company can supply from within. Growth targets are written in revenue, but they are delivered in people, and a forecast translates one into the other before the gap becomes a crisis. This paper forecasts Prairie Crest's workforce needs through 2030.

Business Drivers of Demand

Three drivers determine labor demand. The number of turbines under contract drives routine maintenance and repair. Repowering projects, which replace major components such as blades, gearboxes and generators on older turbines, require large crews for weeks at a time. Blade repair, a new service, requires composite specialists. The strategic plan projects turbines under contract rising from 1,900 to 2,350, about 60 repowering projects over four years and a blade repair unit serving 800 turbines.

Choosing Forecasting Methods

Ratio analysis suits routine maintenance because technician workload follows turbine count closely. Project-based estimates suit repowering, where each project's crew size and duration are known from experience. Expert judgment from operations leaders informs blade repair, which the company has never done. Using several methods matched to each driver is more accurate than applying one method to everything.

Routine Maintenance Demand

Currently, 780 technicians service 1,900 turbines, about 0.41 per turbine. Older turbines need more work, and the share of turbines over 12 years old will rise from 38 to 52 percent. Operations estimates that older turbines need about 15 percent more technician time. Adjusting for that mix, the ratio rises to about 0.43, and 2,350 turbines would require about 1,010 technicians for routine work, an increase of 230.

Repowering Demand

Each repowering project uses a crew of about 24 technicians for six weeks. Sixty projects over four years, concentrated in spring through fall, require about 72 technicians working on repowering at peak. Some of this demand can be met with contractors, but the strategy calls for keeping repowering in house to control quality, so the forecast includes 60 permanent technicians dedicated to repowering.

Blade Repair Demand

Operations leaders and an industry consultant estimate that serving 800 turbines requires about 45 blade technicians with composite repair skills and rope access certification, plus four blade engineers. Because the company has none, all must be hired or developed.

Supervisor and Support Demand

At a ratio of one site supervisor to about eight technicians, 1,115 technicians would need about 140 supervisors, up from 95. Engineers and planners rise from 60 to 75, operations center staff from 50 to 60 as monitoring expands and sales and administration from 65 to 75.

Total Demand

Total demand in 2030 is about 1,465 employees, compared with 1,050 today, an increase of 415. Technicians account for most of the growth.

Projecting Internal Supply

Supply is projected by applying annual rates of turnover, retirement and promotion to the current workforce. Collings and Mellahi (2009) emphasized that strategic talent management begins by identifying the positions that most affect performance and building pools of internal talent to fill them, which requires tracking internal movement. Prairie Crest's data show technician turnover of 24 percent overall and 31 percent among those with one to three years of experience, retirement of about 1 percent a year and promotion of 3 percent of technicians to lead or supervisor roles each year.

The Flow Model

Together, turnover, retirement and promotion remove about 28 percent of technicians from the pool each year. Applying that rate, the current 780 technicians would shrink to about 210 by 2030 without new hiring. Growing to 1,115 while replacing departures from a rising base requires about 1,350 technician hires over four years, roughly 340 a year, compared with about 190 last year, nearly all of which replaced departures. The hiring engine must almost double.

The Effect of Turnover

Huselid (1995) found that high-performance work practices were associated with lower turnover and higher productivity in a large sample of firms. Heavey et al. (2013) found that collective turnover harms unit performance, and the arithmetic here shows its cost in hiring. If Prairie Crest reduced technician turnover from 24 to 16 percent, the four-year hiring need would fall from about 1,350 to about 1,060, nearly 300 fewer hires. Retention is therefore a forecasting variable, not just an HR goal.

Supervisor Supply

Of the 95 supervisors, 12 will reach retirement age by 2030 and about 6 percent leave each year. With demand rising to 140, the company needs about 80 new supervisors over four years. Promoting 3 percent of technicians a year yields about 25 a year, enough in number, but most have no preparation, so development is the constraint.

Scenarios

In a slower scenario, with turbines under contract reaching 2,150 and 40 repowering projects, technician demand is about 1,010 and four-year hiring about 1,200. In a faster scenario, with 2,500 turbines and 80 projects, demand is about 1,200 and hiring about 1,470. The expected case lies between. Hiring capacity should be built for the expected case with the ability to scale.

Checking the Forecast Against Capacity

A forecast is useful only if the organization can act on it. Prairie Crest's two recruiters filled about 190 technician roles last year with an average time to fill of 74 days. Hiring 340 a year would require at least two more recruiters, partnerships with community college programs and a faster process. Training capacity is also limited: the company's safety certification courses run for 24 trainees at a time, so the training calendar must expand to accommodate nearly double the new hires.

Key Positions

Not all roles matter equally. Lead technicians, who troubleshoot complex failures and train new technicians, have the largest effect on uptime and safety. Blade technicians are essential for the new service line. Site supervisors determine crew retention. These three roles will receive the most investment in the plan.

Lead Times

Hiring a technician takes about 74 days, and a new technician needs about a year to work independently. A lead technician takes four or more years to develop. These lead times mean the plan must begin hiring and development well ahead of growth.

Summary of Needs

Over four years, Prairie Crest must hire about 1,350 technicians in the expected case, about 340 a year; develop and promote about 80 supervisors; hire or develop 45 blade technicians and 4 blade engineers; and add 15 engineers, 10 operations center staff and 10 administrative staff. Reducing turnover to 16 percent could cut technician hiring by nearly 300.

Conclusion

Prairie Crest's growth strategy translates into about 415 more employees and roughly 1,350 technician hires over four years, most of them replacing departures. Ratio, project and expert methods tied to business drivers, a flow model of supply and scenarios give leadership a realistic range. Turnover reduction, supervisor development and blade capability emerge as the priorities for the gap analysis.

References

Collings, D. G., & Mellahi, K. (2009). Strategic talent management: A review and research agenda. Human Resource Management Review, 19(4), 304-313. https://doi.org/10.1016/j.hrmr.2009.04.001

Heavey, A. L., Holwerda, J. A., & Hausknecht, J. P. (2013). Causes and consequences of collective turnover: A meta-analytic review. Journal of Applied Psychology, 98(3), 412-453. https://doi.org/10.1037/a0032380

Huselid, M. A. (1995). The impact of human resource management practices on turnover, productivity, and corporate financial performance. Academy of Management Journal, 38(3), 635-672. https://doi.org/10.2307/256741