Research On The Production And Inventory Of Based On The Customized Condition

The rapid development of technology, more higher and flexibility of customer demand expectation makes enterprises operation circumstance more complicated and unpredictable. They want to reduce production inventory cost by customized production, as well as, to satisfy the ever-changing individualized customer needs. However, the traditional mass customization production cannot meet such requirements. Therefore, how to produce and sell though a responsive and efficient way to reduce inventory cost, improve supply chain performance is the key issue of this dissertation. It derestricted the concept of customization concept, added the flexibility into customized production supply chain design and coordination, then proposed the new modal of production inventory for customized circumstance. Main contributions in this dissertation are including:(1) Summarized and compared previous research achievements on production inventory strategy of various customized conditions, by reviewing a great deal of literature; presented the limitations and issues to be resolved of current researches; and came up with the research framework and ideas.(2) Created the manufacture-assembly two-stages customized chain modal by using dynamic cost; discussed this dynamic cost by different inventory strategy in different production condition, based on the optimization of single CODP location; built 3D network topology based customized circumstance model for multi-CODP; optimized the customized network for maximum profit, and numerical simulating calculated the modal though genetic algorithm.(3) Derestricted the customization concept; proposed customized optimization method for general customized network with two opportunity constraint conditions, proceeded from customized demand characters; set up opportunity constraint condition based customized optimization modal.(4) Proposed the customized product price constraint, subject to constraint of customer satisfaction and production scale, by using the parameters of customer satisfaction and tolerance level; then, built the demand-oriented based customized optimization modal.(5) Took manufacturer-retailer customized circumstance as the research objective, deduced the multiple manufacturer-retailer customized non-homogeneous inventory description based on the analysis of single manufacture-retailer non-homogeneous inventory; built the production-sales customized production inventory optimization modal.(6) Studied on manufacture-sales tight coupling supply chain, and considered the productive characters, it set up the production inventory decision making modal within th product sales cycle, based on stockout strategy. On this hypnosis, it simplized the multivariable non-linear model and achieved binary non-linear production strategy modal.(7) Discussed the single-period ATO (Assembly-To-Orders) product and inventory optimization based on dynamic inventory. By using the products diffusion modal to dynamic forecast customer order, it built and analysed the single vendor ATO supply chain profit time-continuous modal, and achieve the adequate and relevantly inadequate productive capacity two-condition decision making modal. Further more, it discussed the multi-vendor ATO supply network, and gain the production inventory optimization modal of multi-vendor and product-sales network.