运筹与管理
運籌與管理
운주여관리
OPERATIONS RESEARCH AND MANAGEMENT SCIENCE
2014年
5期
160-167
,共8页
张浩%杨佳妮%苏翔%葛世伦
張浩%楊佳妮%囌翔%葛世倫
장호%양가니%소상%갈세륜
运筹学%效率分析%网络数据包络分析%外源投入型两阶段制造系统
運籌學%效率分析%網絡數據包絡分析%外源投入型兩階段製造繫統
운주학%효솔분석%망락수거포락분석%외원투입형량계단제조계통
operational research%efficiency analysis%network data envelopment analysis%two-stage manufactur-ing system with exogenous inputs
制造过程评价是改善制造系统效率的重要一环,传统的评价方法将每个制造系统决策单元视为黑箱来研究整体效率,忽略了中间产品转化信息及投入要素在各子过程中的配置信息。针对两阶段(第二阶段有外源性新投入)制造系统的效率评估问题,分别在固定规模报酬和可变规模报酬假设下,充分利用制造系统中间产品的转化及外源投入要素的配置信息,建立了制造系统网络DEA效率测度及分解模型,建模方法遵循客观评价原则,无需事先主观确定子效率和系统效率之间的组合关系。并将其应用于钢铁制造系统效率测度与分解,研究结果表明该方法能够挖掘决策单元内部子单元的效率情况,帮助决策者发现复杂制造过程非有效的根源,为复杂制造过程的整体效率测度及分解提供了有效的分析方法。
製造過程評價是改善製造繫統效率的重要一環,傳統的評價方法將每箇製造繫統決策單元視為黑箱來研究整體效率,忽略瞭中間產品轉化信息及投入要素在各子過程中的配置信息。針對兩階段(第二階段有外源性新投入)製造繫統的效率評估問題,分彆在固定規模報酬和可變規模報酬假設下,充分利用製造繫統中間產品的轉化及外源投入要素的配置信息,建立瞭製造繫統網絡DEA效率測度及分解模型,建模方法遵循客觀評價原則,無需事先主觀確定子效率和繫統效率之間的組閤關繫。併將其應用于鋼鐵製造繫統效率測度與分解,研究結果錶明該方法能夠挖掘決策單元內部子單元的效率情況,幫助決策者髮現複雜製造過程非有效的根源,為複雜製造過程的整體效率測度及分解提供瞭有效的分析方法。
제조과정평개시개선제조계통효솔적중요일배,전통적평개방법장매개제조계통결책단원시위흑상래연구정체효솔,홀략료중간산품전화신식급투입요소재각자과정중적배치신식。침대량계단(제이계단유외원성신투입)제조계통적효솔평고문제,분별재고정규모보수화가변규모보수가설하,충분이용제조계통중간산품적전화급외원투입요소적배치신식,건립료제조계통망락DEA효솔측도급분해모형,건모방법준순객관평개원칙,무수사선주관학정자효솔화계통효솔지간적조합관계。병장기응용우강철제조계통효솔측도여분해,연구결과표명해방법능구알굴결책단원내부자단원적효솔정황,방조결책자발현복잡제조과정비유효적근원,위복잡제조과정적정체효솔측도급분해제공료유효적분석방법。
Manufacturing process evaluation is an important part to improve the efficiency of the manufacturing system.Data Envelopment Analysis(DEA)is an effective tool to measure the relative efficiencies of the manufac-turing system .However , the traditional DEA models ignore the production information embedded in the interme-diate products as well as the allocation information of various inputs among the individual sub -process and can ’ t reflect the real underlying production technology .To solve this problem , we have proposed a DEA-efficiency measurement and decomposition models of two-stage manufacturing system with exogenous inputs under both con-stant and variable returns to scale .The modeling method does not need the pre-specified aggregation way of sub-effciencies into the system efficiency .The evaluation results for the iron&steel manufacturing system show that the model can do more to find inefficient decision-making units ( DMUs) and possible potential for performance improvement than the traditional approaches , and help decision makers to detect the origination of inefficiency for those inefficient DMUs .The numerical example proves the reasonability of our method .This study provides an analytical method for the efficiency measurement and decomposition of such complex manufacturing system .