倉(cāng)儲(chǔ)系統(tǒng)控制技術(shù)中英文資料外文翻譯文獻(xiàn)-資料下載頁(yè)
【導(dǎo)讀】我們提出了一個(gè)關(guān)于方法以及規(guī)劃和倉(cāng)儲(chǔ)系統(tǒng)控制技術(shù)文獻(xiàn)調(diào)查。規(guī)劃是指管理決策。影響中期內(nèi)，如庫(kù)存管理和儲(chǔ)存位分配。控制是指經(jīng)營(yíng)決策短。期，如路由，排序，調(diào)度和訂單批量。在此之前的文獻(xiàn)調(diào)查，我們展現(xiàn)了倉(cāng)。儲(chǔ)系統(tǒng)介紹和倉(cāng)庫(kù)管理問(wèn)題的分類(lèi)。GUDEHUS與GRAVES,HAUSMAN,SCHWARZ通過(guò)把入庫(kù)系統(tǒng)規(guī)劃與控制作為一個(gè)新的研究主。題而對(duì)此介紹構(gòu)思。入庫(kù)系統(tǒng)的操作在文獻(xiàn)中自始自終受到了相當(dāng)大的關(guān)注。提高轉(zhuǎn)移到財(cái)產(chǎn)目錄的消減，這是研究領(lǐng)域的一個(gè)新紀(jì)元。信息系統(tǒng)的采用使得這個(gè)策略。及時(shí)生產(chǎn)試圖實(shí)現(xiàn)在短時(shí)間內(nèi)用極小的一部分存貨清單實(shí)現(xiàn)高產(chǎn)。理與高效消費(fèi)響應(yīng)負(fù)責(zé)小量存貨清單供應(yīng)鏈與貫穿于供應(yīng)鏈的可靠短期響應(yīng)機(jī)構(gòu)的驅(qū)動(dòng)。所有的交付都是在供應(yīng)鏈中銷(xiāo)售額日趨下降的情況下促成的。之間在供應(yīng)鏈與當(dāng)前銷(xiāo)售信息的反饋中形成一個(gè)嚴(yán)密的合作。產(chǎn)品-采購(gòu)者系統(tǒng)的例子是自動(dòng)化的儲(chǔ)藏/恢復(fù)系統(tǒng)與旋轉(zhuǎn)木馬。形狀，不可儲(chǔ)藏性，體積，需求率，采購(gòu)量，運(yùn)輸量，儲(chǔ)存模式等需求特征產(chǎn)品組裝備的。
【正文】 lving planning and control problems. Case studies have shown that considerable productivity improvements are possible by applying intelligent planning and control policies [8177。10]. 752 van den Berg 2. Planning of warehouse operations In this section we focus on the storage location assignment problem at the tactical level. The procedures that are developed at this level, serve as a framework for the actual location selection for ining goods. In these procedures, the behavior on the intermediate term is estimated by historical demand patterns. Since the storage location assignment problem will be intractable as a whole, we introduce the hierarchical four step Storage Location Planning Location Planning Procedure 1. Distribution of products among warehousing sys tems. 2. Clustering of correlated products. 3. Balancing of workload within warehousing systems. 4. Assignment of products to storage locations. We discuss relevant literature on the successive steps in Sections to . . Distribution of products among warehousing systems Most large warehouses contain more than one type of warehousing system. Each warehousing system is especially equipped for a speci?c group of products based on their characteristics, such as: size, weight, shape, perishability, volume, demand rate, pick sizes, delivery quantity, type of storage module, et , many warehouses use separate systems or areas for orderpicking (forward area) and for bulk storage (reserve area). Whenever a product in the forward area has been depleted, it is replenished from the reserve area. A wellknown forwardreserve con?guration is a storage rack where the lower levels are used for manual orderpicking (forward area) and the higher levels contain the bulk storage (reserve area).Bozer [11] treats the problem of splitting a pallet rack into an upper reserve area and a lower forward area. The author assumes Chebyshev travel times (., the travel time of the pallet truck is the maximum of the isolated horizontal and vertical travel times) and a ?xed picklife for all unitloads in the forward area. He shows when a separate reserve area is justi?ed. He also studies the case with variable unitload sizes and a remote reserve area. He analytically derives the breakeven value for the picklife of a unitload, which is of potential use in deciding which products to consider for the forward area. Hackman and Rosenblatt [12] present a model where orderpicking from the reserve area is possible. Accordingly, the question arises which products should be picked from the forward area and how much space must be allocated to each of these products. The objective is to minimize the total costs for orderpicking and replenishing. The authors assume that one replenishment trip su?ces to replenish a product, irrespective of the allocated quantity. The authors derive analytic expressions for the optimal product quantities as a function of the available storage space. They present a knapsackbased heuristic that assigns these quantities to the forward area in sequence of decreasing cost savings until it is full.
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