Modeling and optimizing intellectual asset production in industrial laboratories

Debasis Mitra, Qiong Wang

Research output: Chapter in Book/Report/Conference proceedingConference contribution


We present a modeling framework to maximize value output of an industrial laboratory in which there is open-end research department that generates novel ideas and multiple development stages that commercialize some ideas into intellectual assets as well as final products. Resources control takes place at both tactical and strategic levels. The former decision is made at a fast time scale, and determines whether an individual idea should be advanced to a downstream development stage. As basis for this decision, the potential profitability of an idea is assessed by its option value instead of the expected return. The strategic management is carried out by long-term budget allocation between idea generation and development. We formulate and solve an optimization problem for determining the intrinsic rate of return of the laboratory. Our key finding is that the optimal allocation can be heavily biased towards idea generation, to the extent that its output overwhelms development resources. Such configuration inevitably causes a non-trivial number of generated ideas to be dropped, but the waste is appropriate for maximizing the total profit.

Original languageEnglish (US)
Title of host publicationIIE Annual Conference and Expo 2015
PublisherInstitute of Industrial Engineers
Number of pages10
ISBN (Electronic)9780983762447
StatePublished - 2015
EventIIE Annual Conference and Expo 2015 - Nashville, United States
Duration: May 30 2015Jun 2 2015

Publication series

NameIIE Annual Conference and Expo 2015


OtherIIE Annual Conference and Expo 2015
Country/TerritoryUnited States


  • Industrial laboratories
  • Innovation
  • Intellectual asset
  • Rate of return

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering


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