Worker assignment on a serial-line when productivity is changing

Natasa Vidic, Bryan A. Norman, David A. Nembhard

Research output: Contribution to conferencePaperpeer-review


The objective of this research is to develop methods to solve the worker assignment problem considering learning and forgetting. The workers' productivity changes over time and is dependent on the number of times the workers were assigned to each task. Tasks have different complexity levels, and the workforce is heterogeneous. The worker assignment model is formulated and incorporates the effects of individual worker's learning and forgetting. An interchange heuristic algorithm is developed and its effectiveness is demonstrated on test problems.

Original languageEnglish
StatePublished - 2005
EventIIE Annual Conference and Exposition 2005 - Atlanta, GA, United States
Duration: May 14 2005May 18 2005


ConferenceIIE Annual Conference and Exposition 2005
Country/TerritoryUnited States
CityAtlanta, GA


  • Forgetting
  • Learning
  • Worker assignment


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