Energy-Performance as a driver for optimal production planning

Niloofar Salahi, Mohsen A. Jafari

Research output: Contribution to journalArticlepeer-review

30 Scopus citations


In this paper, we present energy-aware production planning using a two-dimensional "Energy-Performance" measure. With this measure, the production plan explicitly takes into account machine-level requirements, process control strategies, product types and demand patterns. The "Energy-Performance" measure is developed based on an existing concept, namely, "Specific Energy" at machine level. It is further expanded to an "Energy-Performance" profile for a production line. A production planning problem is formulated as a stochastic MILP with risk-averse constraints to account for manufacturer's risk averseness. The objective is to attain an optimal production plan that minimizes the total loss distribution subject to system throughput targets, probabilistic risk constraints and constraints imposed by the underlying "Energy-Performance" pattern. Electricity price and demand per unit time are assumed to be stochastic. Conditional Value at Risk (CVaR) of loss distributions is used as the manufacturer's risk measure. Both single-machine and production lines are studied for different profiles and electricity pricing schemes. It is shown that the shape of "Energy-Performance" profile can change optimal plans.

Original languageEnglish (US)
Pages (from-to)88-100
Number of pages13
JournalApplied Energy
StatePublished - Jul 15 2016

All Science Journal Classification (ASJC) codes

  • Mechanical Engineering
  • Energy(all)
  • Management, Monitoring, Policy and Law
  • Building and Construction


  • Electricity price uncertainty
  • Energy efficiency
  • Energy-Performance
  • Manufacturing
  • Production planning
  • Stochastic optimization


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