Research On Energy Consumption Optimization Oriented Maintenance Strategy For Sustainable Manufacturing

With the increasing of market competition,various advanced manufacturing modes have aroused widespread concern in both of the industry and academia.The researches on sustainable manufacturing have been rapidly developed and implemented because of the increasing attention on sustainable development.Adopting low-carbon production mode is essential for modern manufacturing enterprises to achieve energy-efficiency optimization.Health management is an integral part of the management of production enterprises,since effective maintenance can bring economic benefits and reduce ineffective energy consumption.In order to obtain maintenance schemes,single machine layer and system layer are discussed respectively in this dissertation given energy consumption characteristics.Combining with the rule of health evolution,the maintenance model has been developed to achieve both of the economy-efficiency and energy-efficiency.The main research results of this paper are as follows:1.Aiming at the machine tool system,the energy consumption is divided into value-added energy consumption and non-value-added energy consumption.The energy analysis about tool wear is integrated to construct the energy consumption model.The optimization objective is the minimization of non-value-added energy consumption caused by tool wear,maintenance actions and corresponding production loss.A multi-objective function has been established to consider the accumulate non-value-added cost and energy consumption.The preventive replacement scheme of the tool has been obtained by combining the decision weight under each objective.Numerical experiments demonstrate that the strategy proposed in this dissertation can effectively optimize energy consumption and ensure economic benefits.2.Aiming at the series and parallel system,a selective maintenance strategy based on the optimization of energy efficiency is proposed.First of all,the energy efficiency is modeled combining with the healthy evolution rule,which is constructed by the universal generation function.Secondly,the limited maintenance resources are modeled and the energy efficiency model is served as the optimization objective to establish a maintenance model with preventive maintenance and replacement.Finally,a branch and bound algorithm based on breadth first search is established to solve the model.Numerical experiments demonstrate that selective maintenance model proposed in this dissertation can optimize the system throughput,total energy consumption and energy efficiency.