Research On The Coordination Scheduling Of Production And Distribution Of Make-to-order Products

Under supply chain management, this dissertation researches the coordination scheduling of production and distribution of make-to-order products from operational level, which applies the theory and method of operational research, management science, fuzzy mathematics and robust optimization. This dessertation considers production and distribution of multi-period, multi-product, multi-plant, multi-DCs(multi-cutomers) system both in theory and practice view. The main research work contents and conclusions are as follows:Firstly, the dissertation reviews the model and solution presented in coordination scheduling of production and distribution literatures written by scholors both in and abroad. Those literatures can be classified into four classes, such as single plant to single customer, single plant to multiple customers, multiple plants to single plant, and multiple plants to multiple customers. Further more, the dissertation concludes main solution of optimized scheduling of production and distribution, especially discusses the research status of roduction and distribution planning under uncertain environment.Secondly, based on characteristic of make-to-order products, the dissertation studies a three stage supply chain structure, that is multi-plant, multi-DCs and multi-customer. Considering multi-period and multi-line in plant, limitation of inventory capacity in each plant and DC, limitation of production capacity and labor level, a mix integer linear programming model is presented which minimizes the production,inventory and distribution cost in a whole. Then an illustrated example is testified the validity of above model.Thirdly, based on uncertainty of enterprise production process, above derterministic production and distribution coordination scheduling model extends to an uncertain environment. It assumes unit cost of production, overtime, inventory, distribution and customer demand are all fuzzy variables, by using fuzzy logical expression, for example, ?-cut and special point movement, to build a fuzzy multi-objective model, then transform into a simple linear programming model. And then, a genetic harmony search algorithm is proposed to solve an illustrated example so as to explain the model and solution raised before can solve this kind production and distribution model effectively.Fourthly, it further discusses coordination scheduling of production and distribution of make-to-order products in a difficult and uncertain environment which both has fuzzy parameters and stochastic variables. By using ?-cut and fuzzy number ranking method, the fuzzy objective function and constraint condition can easily be transformed into a determistic programming model. And stochastic constraint condition can be transformed into equivalence by using normal distribution of stochastic theoty. Then an example and an improved particle swarm algorithm are proposed to demonstrate that it is still feasible in coordination scheduling of production and distribution under a fuzzy stochastic environment.Finally, the dissertation also discusses robust optimization solution to solve coordination scheduling of production and distribution of make-to-order products. In order to adapt to some uncertain and unexpectable circumastances of enterprise in production and distribution operation, the dissertation introduces robust optimization method to found a robust optimization model and give the solution method. An illustrated example is proposed to analyze the solution robustness and model robustness. It also concludes how the tradeoff between solution robustness and model robustness and scenario probability are affected the optimal value of the objective.