工业工程
工業工程
공업공정
Industrial Engineering Journal
2015年
4期
132-139
,共8页
徐杰%屈挺%聂笃宪%陈新%黄国全
徐傑%屈挺%聶篤憲%陳新%黃國全
서걸%굴정%섭독헌%진신%황국전
集中招标采购%经济订购批量模型%网络分析法%物联网
集中招標採購%經濟訂購批量模型%網絡分析法%物聯網
집중초표채구%경제정구비량모형%망락분석법%물련망
centralized bid procurement%economic order quantity model%analytic network process%inter-net of things
针对电力物资集中采购模式中由于采购批量大、合同周期长而导致的不稳定供应问题,提出一种多阶段迭代修正式的电力物资动态采购模型,运用持续质量抽检进行供应商动态调整。首先根据经济订购批量模型确定最佳招标批次、划分标包,并设定多阶段招标模式及供应商评价指标体系;同时依托供应商绩效评价系统,获取历史抽检数据并迭代预测各供应商物资质量,通过建立标包份额动态分配模型动态修正供应商供应量。通过具体案例对模型进行了示例和验证,并对产品质量与供货量的关联性进行了敏感性分析,为采购方有效控制物资质量、供应商提高中标率提供了指导。最后,介绍了项目组开发的一个基于移动物联网的电力物资送检系统,为本文所提的评价模型提供了可行的实施环境。
針對電力物資集中採購模式中由于採購批量大、閤同週期長而導緻的不穩定供應問題,提齣一種多階段迭代脩正式的電力物資動態採購模型,運用持續質量抽檢進行供應商動態調整。首先根據經濟訂購批量模型確定最佳招標批次、劃分標包,併設定多階段招標模式及供應商評價指標體繫;同時依託供應商績效評價繫統,穫取歷史抽檢數據併迭代預測各供應商物資質量,通過建立標包份額動態分配模型動態脩正供應商供應量。通過具體案例對模型進行瞭示例和驗證,併對產品質量與供貨量的關聯性進行瞭敏感性分析,為採購方有效控製物資質量、供應商提高中標率提供瞭指導。最後,介紹瞭項目組開髮的一箇基于移動物聯網的電力物資送檢繫統,為本文所提的評價模型提供瞭可行的實施環境。
침대전력물자집중채구모식중유우채구비량대、합동주기장이도치적불은정공응문제,제출일충다계단질대수정식적전력물자동태채구모형,운용지속질량추검진행공응상동태조정。수선근거경제정구비량모형학정최가초표비차、화분표포,병설정다계단초표모식급공응상평개지표체계;동시의탁공응상적효평개계통,획취역사추검수거병질대예측각공응상물자질량,통과건립표포빈액동태분배모형동태수정공응상공응량。통과구체안례대모형진행료시례화험증,병대산품질량여공화량적관련성진행료민감성분석,위채구방유효공제물자질량、공응상제고중표솔제공료지도。최후,개소료항목조개발적일개기우이동물련망적전력물자송검계통,위본문소제적평개모형제공료가행적실시배경。
To deal with the unsteady supply problem of power materials caused by the centralized procure-ment adopting high-volume and long-period purchasing, a multi-stage iterative revising sourcing model is proposed.The main idea is to dynamically adjust the sourcing amount from suppliers based on continuous sampling inspection.Firstly, the best bidding stages and batches are determined based on the economic or-der quantity model, while the multi-stage bidding pattern and electrical material supplier evaluation index system are built.With supplier performance evaluation system, historic service data of electric power mate-rials is captured for the prediction of the material service quality of next stage, which is then imported by the dynamic standard package allocation model to revise the suppliers′sourcing quantity.A demonstrative case is adopted to exemplify the usage of the above model, and a series of sensitivity analyses are conduc-ted to provide instructive guidance for both material purchasers and suppliers.At last, a mobile internet-of-things-based electric power material monitoring system is developed to construct a feasible working envi-ronmental for the proposed model.