Eoq economic order quantity 經(jīng)濟(jì)訂貨批量經(jīng)濟(jì)批量法
Eoq economic order quantity 經(jīng)濟(jì)訂貨批量
Economic order quantity eoq 經(jīng)濟(jì)訂貨批量
Economic order quantity eoq 經(jīng)濟(jì)訂貨批量
Economic order quantity 經(jīng)濟(jì)訂貨批量
Economic order quantity 經(jīng)濟(jì)訂貨批量
Economic order quantity 經(jīng)濟(jì)定購(gòu)量
Research on the economic order quantity based on the condition of supply chain management 基于供應(yīng)鏈管理?xiàng)l件下的經(jīng)濟(jì)批量研究
In this paper , the economic order quantity formulae of the storage models are discussed . the revised storage models and their economic order quantity formulae are proposed 摘要本文討論了不允許缺貨和允許缺貨存貯模型中經(jīng)濟(jì)訂貨批量公式,并建立了修正后的存貯模,給出了相應(yīng)的經(jīng)濟(jì)訂貨批量公式。
Raw materials purchase is one of the major part in a company purchasing activities , the determination of purchasing time , price and quantity has directly influence on business output and profit . this article discusses how to make decision on purchase price and time by means of the present value analysis in futures purchase of raw materials , and the numerical example with data obtained from reality is used as an illustration . in addition , the decision on purchase quantity and sensitivity of inventory costs to purchase quantity are also analyzed and discussed based on the economic order quantity model . it is shown that with its logic and applicability the present value analysis method can be applied to raw material futures purchase in practice , rationalizing decision - making and saving costs 原材料采購(gòu)是企業(yè)采購(gòu)工作中的主要組成部分,其采購(gòu)時(shí)機(jī)、價(jià)格、數(shù)量的合理確定直接影響企業(yè)的產(chǎn)出效益.本文對(duì)原材料期貨采購(gòu)中如何借助于經(jīng)濟(jì)現(xiàn)值分析方法進(jìn)行價(jià)格決策和確定采購(gòu)時(shí)機(jī)進(jìn)行了討論,并給出了具體實(shí)際數(shù)據(jù)分析和說(shuō)明.此外,還根據(jù)經(jīng)濟(jì)訂購(gòu)批量模型圍繞采購(gòu)數(shù)量決策以及存貨成本對(duì)采購(gòu)數(shù)量的敏感性進(jìn)行了分析和討論.經(jīng)濟(jì)現(xiàn)值分析方法實(shí)用性強(qiáng),具有科學(xué)性,有助于期貨采購(gòu)決策合理化和節(jié)約資金,可供原材料期貨實(shí)際采購(gòu)所借鑒
Economic order quantity is the order quantity that minimizes total inventory holding costs and ordering costs. It is one of the oldest classical production scheduling models.