Research On Quality Improvement Methods Of Cigarette Formula Based On QFD

With the increasing competition among domestic and foreign cigarette companies,quality competition of the cigarette products plays a crucial role in the market competition.It is the key point for cigarette companies to maintain their leading position in the competition to develop cigarette products that meet the market demand in the shortest time,improve the quality of products continuously,and maximize customer satisfaction.The core of the quality of cigarette products is tobacco formula.Traditional tobacco formula methods rely on experts,personal experience and require repeated tests and modifications until the achievement of ideal effect,resulting in lots of uncertainty of product design,too many design cycles,too long development period,and the developed or improved products cannot achieve the best level of consumer satisfaction.Applying the method of Quality Function Deployment(QFD)to decompose customer requirements,providing scientific theoretical guidance for the optimization process of tobacco formula,and introducing quality planning in the design process of cigarette products,are of great practical significance for domestic cigarette companies to design and manufacture cigarette products scientifically and efficiently,optimize the allocation of resources,avoid repeated work,improve work efficiency,and thereby enhance the market competitiveness of their cigarette products.Based on the above background,this study applies the method of QFD to drive the entire process of product design,establish framework model of cigarette product design based on QFD to transform customer requirements into product attributes requirements,formulation design requirements and production planning requirements gradually,and built mathematical optimization model on the basis of the framework model aiming at the process of cigarette product planning and tobacco formula,so as to achieve the purpose of improving the quality of products and meeting customer requirements.The main contents of the paper are as follows:(1)The design and quality improvement of cigarette product is positioned and planned by analyzing the background of tobacco industry and features of cigarette product,and a framework model of cigarette product design based on QFD is established according to the fundamentals and methods of QFD,which divides the process of quality function deployment of cigarette product into three stages:product planning,formulation design,and manufacture planning.Then,five vital houses of quality are built including cigarette products planning,structure design of tobacco group,unit design of tobacco group,cigarette manufacture planning,cigarette manufacturing parameters planning,so as to transform customer requirements into product attributes requirements,formulation design requirements and production planning requirements successively.(2)On the basis of the product planning house of quality in the framework model of cigarette product design based on QFD,taking maximization of customer satisfaction as the goal,taking cigarette product attributes as the decision variables,according to the systematic modeling ideas and methods,a mathematical optimization model aiming at the process of cigarette product planning is built to improve and optimize the quality of products.The optimization model is applied to actual product planning cases in H Group.The model is solved and verified by Lingo software,which illustrates the feasibility and effectiveness of the model.(3)On the basis of the formulation design house of quality in the framework model of cigarette product design based on QFD,aiming at the process of tobacco group,taking maximization of product quality as the goal,taking proportion of unblended cigarettes as the decision variables,taking inventory,cost,resource constraints into account,a mathematical QFD optimization model based on cigarette formulation design house of quality is built in order to improve and optimize the quality of cigarette product formulation,and the effectiveness of the model is verified by specific cases of product formulation optimization in H Group.