## 5 Conclusions  
Manufacturing across the world generally faces competitiveness such as increased costs in materials and energy, and how to design processes for high performance and low cost with more attention paid to the environment has become an important issue. The purpose of this research is to find a better method to optimize processes toward sustainable manufacturing that minimizes waste and reduces the environmental impact. In the process of heavy industry, in addition to consuming a lot of energy, exhaust and dust are also generated. This is a serious issue for environmental protection. Therefore, dust collection equipment is often used to treat air pollutants, and the design of dust collection systems mostly considers the efficiency of dust collection, while ignoring the environmental impact caused by energy loss. In the past, the related research mostly used filter material selection, initial pressure, nozzle size, distance between the nozzle and filter bag, pressure impulse, and the methods of filter bag cleaning and design as improvement measures, but few studies investigated energy saving. Based on the past literature, this study proposed a method for predicting efficiency by using the pulse time and the pulse interval time as parameters to explore sustainable production and corporate competitiveness that achieve a win-win model of energy saving and cost effectiveness. Therefore, it is an approach to fully examine the environmental impact of different simulations by pulse dust collection systems. The analysis of simulations includes pulse dust collection system design, effective filter area calculation, the filtration theory with multi-filter group establishment, and the model of pulse dust collectors to analyze energy saving and cost. A simulation environment is established based on the filtration theory of the stable flow and the related parameters of the powder. The energy consumption and cost are analyzed based on the mathematical model of the temporary powder cake, with  
Figure 10: The simulation of energy consumption on different dust concentrations. (**a**). The analysis of the pressure drop. (**b**). The analysis of energy saving. (**c**). The analysis of cost. the parameters used in the simulation process including pulse interval time, pulse time, and dust concentration. Through different conditions, the optimal and the best operating state can be found under the goal of energy saving and low cost. According to the simulation results, the process design of the pulse dust collector is to lower the cost of filter elements and reduce the energy consumption of compressed air, which is good for the environment and beneficial for the sustainable development of manufacturing industries. The best parameters of operation are three conditions, including 10 s of the pulse interval time, 0.1 s of the pulse time, and a lower dust concentration, and it is also verified that energy saving can also bring the benefit of low cost and carbon reduction. Thus, this study refers to production processes that pollute less and create less overall production waste to maximize resource efficiency and achieve the social responsibility of environmental sustainability. The characteristic values \(\lambda_{1}\) (characteristic of cleaning efficiency) and \(\lambda_{2}\) (characteristic of air permeability) of the dust collector in the simulation model are dependent on the selection of filter material, including particle size, filtration speed, pulse-jet cleaning, nozzle size, nozzle distance, and other parameters. Thus, future research works will take different dusts for numerical simulation on the pressure drop with different temporary powder cakes. In addition, the current materials of dust filters such as nanomaterial will also achieve more effective pollution prevention. However, the cost also forms the consideration on the competitiveness of enterprises in the market.