Abstract
In light of industry's apparent impact on the climate, sustainable manufacturing is gaining more and more attention both in academia and practice. One class of tools that can support companies in improving the sustainability of their manufacturing processes are energy-efficient scheduling models. This paper investigates the bi-objective job shop scheduling problem with variable machine speeds and recirculation that aims on minimizing the total energy consumption and total weighted tardiness simultaneously. Pareto frontiers are used to analyze the trade-of between both objectives. The study analyzes how the use of variable machine speeds helps to meet the requirements of an incentive-based program that requests the reduction of the power load in a predefined period.
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