Facility Layout Based on Sequence Analysis： Design of Flowshops

A computer-aided method to design a hybrid layout—tree-shape planar flowlines is presented. In newtype flowshop layout, the common machines shared by several flowlines could be located together in functional sections. The approach combines traditional cell formation techniques with sequence alignment algorithms. Firstly, a sequence analysis based cell formation procedure is adopted; then the operation sequences for parts are aligned to maximize machines adjacency in hyperedge representations; finally a tree-shape planar flowline will be obtained for each part family. With the help of a sample of operation sequences obtained from industry, this algorithm is illustrated.     

LARGE SIGNAL DISCRETE-TIME MODEL FOR PARALLELED BUCK CONVERTERS

Introduction　　 In recent years,due to the rapid advances ofcomputer and communication,the power suppliesmust provide high current up to hundreds of am-peres and still have high efficiency and reliability.Under such requirements,multimodule- parallelingstructure is usually used and the load current isequally shared. The practical implementation ofthese distributed converters system is not alwaysstraightforward and various control problems arisebecause of undesirable interaction among subsys-t…     

An Effective Hybrid Optimization Algorithm for Capacitated Vehicle Routing Problem

IntroductionVehicle routing problem(VRP)is a well-known combinatorial optimization problem and isalso a focal problem of distribution managementwithin the area of service operations managementand logistics.Capacitated vehicle routing problem(CVRP)is a very hard vehicle routing problem.The problem is to simultaneously determine theroutes for several vehicles from a central depot to aset of customers,and then return to the depotwithout exceeding the capacity constraints of eachvehicle.In prac…     

A FUZZY REASONING PETRI NET MODEL AND ITS REASONING ALGORITHM

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An Improved Genetic Algorithm for Allocation Optimization of Distribution Centers

This paper introduced an integrated allocation model for distribution centers (DCs). The facility cost,inventory cost, transportation cost and service quality were considered in the model. An improved genetic algorithm (IGA) was proposed to solve the problem. The improvement of IGA is based on the idea of adjusting crossover probability and mutation probability. The IGA is supplied by heuristic rules too. The simulation results show that the IGA is better than the standard GA(SGA) in search efficiency and equality.