Seru System Balancing With Fully Skilled Workers

After the three industry revolutions marked respectively by mechanization,electrification,and informationization.Many manufacturing industries are facing with severe overcapacity.Many of them are capable of manufacturing massive products of a same product type within a short time.However,as purchasing power rises,the supply saturation of the market is exacerbated,the nowadays’ consumption environment has transformed from the seller’s market into the buyer’s market.Especially in electronic industry,the variety of the consumer’s individual preferences has led to the diversity of market demand.Meanwhile,high-techs’ development in manufacturing industries has shorten product life-cycles,and further make the diversity in product types possible.Product types’ diversity means that the demand for single product type will noticeably decrease,and may vary overtime according to seasons,competitors,and so on.Take cameras as example,the performance of the flagship model has been greatly improved,and the series of cameras in the same period will be distributed in many models to meet the consumer’s differential needs.Therefore,a new kind of production mode,Seru production,has been generated within this background.Seru production can reduce makespan,labor hours and required manpower.In fact,Seru production can obtain these performance improvements by increasing workers’workload balance based on the reconfiguration of workers.Based on the composition of Seru systems,they could be categorized into two types:pure Seru system(composed of one or more Serus),and hybrid Seru system(composed of a short line,as well as one or more Serus).Therefore,this study investigates on the principles of Seru system balancing.For one Seru,we define and formulate Seru balance(SB)to describe workloads balance of the workers in one Seru.For a Seru system(which typically contains one or more Serus),its balance-Seru system balance(SSB)should be evaluated from two sides,workloads balance of all workers in a Seru system and workloads balance among all Serus in a Seru system.Therefore,we define and formulate intra-Seru system balancing(Intra-SSB)and inter-Seru system balancing(Inter-SSB)to evaluate these two sides.Subsequently,we theoretically develop the lower and upper bounds of Intra-SSB and Inter-SSB respectively.Besides,exclusively for hybrid Seru systems,we define and formulate comprehensive-Seru system balancing(c-SSB)to evaluate the workload balance among Serus and short line.In addition,for pure Seru system,we define and formulate the Seru system balancing problem(SSBP)which is a bi-objective mathematical model with maximizing Intra-SSB and Inter-SSB simultaneously.The property of solution space for SSBP is analyzed.For hybrid Seru system,we define and formulate the hybrid Seru system balancing problem(hSSBP)which is a three-objective mathematical model with maximizing Intra-SSB,Inter-SSB,and c-SSB simultaneously.The property of solution space for hSSBP is analyzed.Furthermore,we develop two improved exact algorithms based on reducing time complexity and space complexity to obtain the Pareto-optimal solutions of the bi-objective SSBP.Then,based on the extensive experiments,we identify the situations under which a seru system has good balance.Based on the results,we analyze the influences of Intra-SSB and Inter-SSB to makespan respectively and simultaneously.Meanwhile,based on ε-constrain method,we develop an improved exact algorithm to obtain the Pareto-optimal solutions of the tri-objective hSSBP.Based on the results,we analyze the influences of and to makespan respectively and simultaneously.