A systematic approach of process planning and scheduling optimization for sustainable machining

A hybrid approach to energy consumption modelling based on cutting power: a milling case

“…Recently, Campatelli et al (2014) optimized the process parameters with response surface method in order to minimize the power consumption in a milling process. A systematic approach of process planning and scheduling for sustainable machining was presented by Wang et al (2015). In their work, the process parameters in the milling process were optimized using several optimization algorithms to improve the energy efficiency.…”

Energy consumption model and energy efficiency of machine tools: a comprehensive literature review

“…Nowadays, as the surge in the number of machine tool equipments and increasingly serious environmental problems, in addition studies find that machining system showed a great potential for energy saving, thus problems of energy efficiency of machine tools have been received the widespread attention at home and abroad (Santos et al, 2011;Shrouf et al, 2014;Camposeco-Negrete et al, 2013;Wang et al, 2015). As a result, the energy efficiency of machine tools was determined as one of the research questions.…”

Solving the energy-efficient job shop scheduling problem: a multi-objective genetic algorithm with enhanced local search for minimizing the total weighted tardiness and total energy consumption

“…In particular, researchers have come to realize that scheduling could play an important role in reducing the energy consumption of manufacturing processes. Therefore, operations research tools and meta-heuristic search methods such as the genetic algorithm (GA) [3], particle swarm optimization [4] and simulated annealing [5] are becoming popular for designing a cleaner production system.…”