Papers by Author: Xiao Bing Liu

Abstract: This paper employs a two-stage method to the spare parts supplier evaluation problem and the order quantity allocation problem. In the first stage, we integrated approaches of analytic hierarchy process (AHP) and information entropy to evaluate the suppliers. In the second stage, the alternative suppliers’ weight scores obtained in the first stage are used as coefficients of the objective functions in a linear programming model. The model is developed to determine the optimal order quantity from the suppliers with consideration of the suppliers’ capacities and the buyer’s quality requirements of the products and service. A numerical example about the typical spare parts - ingot mold purchasing in an iron & steel company is presented to illustrate the approach proposed finally

Abstract: The information fusion of production、process and capacity is the key problem to coordinate and integrate enterprise manufacturing resource. For the feature of enterprise manufacturing resource, this article proposed the data management method of steel enterprise manufacturing resource which is based on the BOMR model, this method made the relational structure of "production-process-capacity" as the core, constructed data model and relationship matrix according to different stages of production. According to the result of application in enterprise, this method overcame the asymmetric information when traditional BOM、BOC used separately, provided data integrating framework for the management of steel enterprise resource.

Abstract: Raw material cost control is becoming an important aspect in the steel enterprise’s cost management, as the raw material cost occupies a large proportion in the cost of product. Therefore, the raw material cost control model which ensures the minimum raw material cost with the qualified contents of chemical ingredients in the product is established. The arithmetic based on Lagrange multipliers is proposed to solve the described model. The model verification provides great support for reducing the cost and configuring resources optimally.

Abstract: Considering Iron & Steel Enterprise production operation situation, a multi-level mathematic model of capacity balancing and corresponding capacity balancing algorithm was proposed. The application of capacity balancing was discoursed on through making production capacity balancing in the branch factory level; production process level and machine level. And buffer pools were established to provide the possibility of capacity adjustment between various levels. With this method the difficulty of capacity calculation is solved, and provide a valid method for rapid establishment of production schedule.