工业工程
工業工程
공업공정
Industrial Engineering Journal
2012年
1期
82~86
,共null页
物流金融 质押存货融资 D-S证据理论
物流金融 質押存貨融資 D-S證據理論
물류금융 질압존화융자 D-S증거이론
logistics financing; inventory impawn financing; Dempster-Shafer (D-S) evidence theory
针对存货质押融资服务中订货周期、产品单价等因素往往无法准确预知,从而导致企业利润难以量化评价的问题,将D-S证据理论引入到存货质押融资后的利润分析。该方法融合多位专家的信息,利用信任函数和似然函数,经证据推理得到融资后利润的上下界概率分布,作为利润的悲观估计和乐观估计,并以其均值作为概率分布的近似估计。实例分析表明,所提出方法较好地将订货周期、产品单价的不确定性传递到存货质押融资后利润,且比区间分析法得到的信息更丰富。该方法可为风险厌恶、风险偏好等各种类型的决策者提供较为直观和定量的分析结果,为企业的战略决策提供客观依据。
針對存貨質押融資服務中訂貨週期、產品單價等因素往往無法準確預知,從而導緻企業利潤難以量化評價的問題,將D-S證據理論引入到存貨質押融資後的利潤分析。該方法融閤多位專傢的信息,利用信任函數和似然函數,經證據推理得到融資後利潤的上下界概率分佈,作為利潤的悲觀估計和樂觀估計,併以其均值作為概率分佈的近似估計。實例分析錶明,所提齣方法較好地將訂貨週期、產品單價的不確定性傳遞到存貨質押融資後利潤,且比區間分析法得到的信息更豐富。該方法可為風險厭噁、風險偏好等各種類型的決策者提供較為直觀和定量的分析結果,為企業的戰略決策提供客觀依據。
침대존화질압융자복무중정화주기、산품단개등인소왕왕무법준학예지,종이도치기업리윤난이양화평개적문제,장D-S증거이론인입도존화질압융자후적리윤분석。해방법융합다위전가적신식,이용신임함수화사연함수,경증거추리득도융자후리윤적상하계개솔분포,작위리윤적비관고계화악관고계,병이기균치작위개솔분포적근사고계。실례분석표명,소제출방법교호지장정화주기、산품단개적불학정성전체도존화질압융자후리윤,차비구간분석법득도적신식경봉부。해방법가위풍험염악、풍험편호등각충류형적결책자제공교위직관화정량적분석결과,위기업적전략결책제공객관의거。
In inventory impawn financing services, when impawn financing is adopted by a firm, some factors, such as ordering cycle and price, are difficult to be predicted exactly. Thus, it is unable to evaluate the profit gained by the firm. To solve this problem, based on the Dempster-Shafer (D-S) evidence theory, a quantitative analysis method is proposed. By this method, complementary cumulative belief and plausibility functions are constructed, respectively. Then, with evidence inference, the pessimistic and optimistic estimations of profit distribution are obtained for the firm who adopts inventory impawn financing. In this way, the mean value can be used as approximate profit. With a case problem, simulation is carried out to validate the proposed method. Results indicate that the proposed method is more objective than the traditionally probability-based method, and can get more information than methods that use interval analysis. The new method can provide evidences for decision-makers who are either risk-averse or risk-happy.