Study On Supply Chain Configuration Problem Base On Scheduling Optimization

The study of supply chain configuration problem(SCCP) is based on local research on each area of supply chain management(SCM),which focuses on system optimization and global configuration of supply chain(SC).When it comes to SCCP, the optimization includes operation mode,utilization type of resource.operation schedule and strategy of inventory control.In this paper,the method of scheduling optimization is introduced to research on SCCP,which not only can deal with the problems above effectively,but also obtain the schedule of the whole SC.The approach can improve the information transparency of SC operation,enhance the coordination of each process,and improve the efficiency of SC.The work not only enriches the study on SCCP,but also has a positive guiding significance for practical operation-and management of supply chain.This paper includes:(1) Analyzing research of Graves and Willems on SCCP and the practical operation of SC,we utilize the method of scheduling optimization to solve the supply chain configuration optimization problem.Then a configuration model is constructed, namely SCCP-SP,which is based on scheduling optimization.Solving this model not only can optimize each process of SC and obtain the optimized result,including operation mode and inventory service time which are solved in the traditional SCCP, but also obtain the scheduling plan,the resource type and the duration of each process. The configuration,based on scheduling optimization,can offer a decision-making technique for operation on each process,as well as,it realizes the global optimization and configuration of SC.(2) In this paper,we study the SCCP under an uncertain market-demand.The demand of each process and inventory control strategy are analyzed;the total demand is distributed to each process according to the rate between process demand and market demandφ,in order to obtain a target demandμof each process,meanwhile, inventory control strategy of each process is.conditioned as server-level CSL_i.(3) During the research on inventory cost of supply chain configuration,we divided the inventory cost into two parts:Average On-Hand cost and Work-In-Process cost.We utilize two different inventory control strategies and evaluating manners to study the inventory problem of SC.Under the restriction of inventory server-level (CSL_i),we establish Work-In-Process level(WLP_i) and Average On-Hand level (AOH_i).WLP_i is an important guarantee to make each process continuously and smoothly,and AOH_i is a decisive factor to make sure the latter process can get the deliveries from the foregoing in time.Such a way to analyze and evaluate inventory problem is accord with practical operation of SC,and furthermore enhances the practical value of theoretical study.(4) The different SC environment is analyzed,and the lead-time minimization and net present value maximization of SCCP are proposed.When it comes to the cost minimization,not only the response time of market haven't been researched,but also the effect of cash flow on scheduling plan haven't been taken into account.Therefore, this paper further studies on SCCP-SP in two aspects;lead-time minimization,and net present value maximization,based on cost minimization.Aiming to minimize lead-time,a supply chain configuration model(SCCP-SP-L) is constructed;aiming to maximize net present value,a supply chain configuration model(SCCP-SP-I) is constructed too.The continuation research not only makes range of use extend,but also contributes to construct an integrated research system about SCCP based on scheduling optimization.Furthermore,it also enriches the theoretical study on SCCP greatly.(5) It is indicated that the solution space of SCCP-SP will be increased greatly with the growth of SC scale.In order to obtain a satisfied solution of SCCP-CP in acceptable time,a kind of heuristic algorithm based on improved genetic algorithm is designed.Dual linked list is also introduced to encode the problem which contains serviceal constraints,meanwhile,a serial scheduling schema(SSS) is used to decode and generate scheduling plan of SC.It is found that improved genetic algorithm is characterized as high-efficient convergence,which is adapted to the solution of SCCP with a large-scale solution space.At last,a numeric example is designed for testing and analyzing SCCP-CP introduced in this paper,and satisfied results are obtained.