Overcoming Hurdles Implementing Multi-skilling Policies

Abstract

Ogden ALC at Hill AFB has been authorized to promote wage grade employees if they are multi-skilled, but that authorization will expire at the end of Fiscal Year 2018. Simulation research by Capt Wesley Sheppard demonstrated significant cost savings/cost avoidance if multi-skilling is pursued, but there are significant challenges to implementation. This research examined two challenges in implementation. First, how many employees can be multi-skilled and still maintain proficiency in both skills? Second, once multi-skilled, is there a technique that can be applied to easily and effectively schedule the new multi-skilled workforce. Using linear programming, staffing numbers were calculated based on current manning and a minimum time policy to ensure the multi-skilled workforce has the opportunity to perform both skills. These calculations were based on a variety of inputs, such as output per man day (OPMD), different minimum time policies, an estimated lower bound, average, and upper bound for the annual workload, etc. Scheduling theory was applied to give schedulers and front line supervisors an easy to use heuristic that can make a significant difference in the amount of time it takes to complete a set of tasks. Various scheduling heuristics were applied to give supervisors an effective way to schedule the workforce.

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Document Details

Document Type
Technical Report
Publication Date
Mar 26, 2015
Accession Number
ADA615054

Entities

People

  • Joshua M. Isom

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • C4I
  • Human Systems

DTIC Thesaurus Topics

  • Air Force
  • Applied Psychology
  • Computer Programming
  • Engineering
  • Linear Programming
  • Logistics
  • Management Personnel
  • Mathematical Models
  • National Security
  • Scheduling (Production)
  • Simulations
  • Spreadsheet Software
  • Supervisors
  • Supply Chain Management
  • Training
  • War Colleges
  • Workload

Readers

  • Logistics and Supply Chain Management.
  • Occupational Health and Safety.
  • Regression Analysis.