倉儲(chǔ)系統(tǒng)控制技術(shù)中英文資料外文翻譯文獻(xiàn)(存儲(chǔ)版)
【正文】 se design (for a review of warehouse design models we refer to Ashayeri and Gelders [6]). Inventory management decides which products are kept in storage in what quantities and when shipments arrive. Intelligent inventory management may reduce the inventory levels and thereby improve the e?ciency of the warehouse operation. For a review of inventory models that consider the total inventory quantity we refer to Hariga and Jackson [7]. Since these models both involve the inventory and the warehouse operation, the models establish a bridge between the ?eld of warehousing and the field of inventory strategic decisions a long period, these decisions face high uncertainties. Typical methods used for solving such problems are stochastic models and simulation, based on demand estimates. Planning problems concern the intermediate period and consider an existing situation. Planning algorithms are based on historical data and attempt to ?nd solutions with a high quality average performance. Control algorithms are based on actual data and attempt to nd solutions with a highquality performance. Combinatorial optimization techniques are well suited for solving planning and control problems. Case studies have shown that considerable productivity improvements are possible by applying intelligent planning and control policies [8177。s). The new interest in quality forced warehouse managers to reexamine their warehouse operation from the viewpoint of minimizing product damage, establish ing short and reliable transaction times and improving orderpicking accuracy. Current trends in warehousing and distribution logis tics are supply chain management and E?cient Consumer Response (ECR). Supply chain management and ECR pursue a demanddriven anization of the supply chain with small inventories and reliable short response times throughout the supply chain. All deliveries are driven by the sales downward in the supply chain. Such an anization requires a close cooperation among the panies in the supply chain and the immediate feedback of sales data. Nowadays, information technology enables these developments through Electronic Data Interchange (EDI) and software systems such as the MRPbased Enterprise Resources Planning (ERP) systems and Warehouse Management Systems (WMS). The new market forces have the operation of warehouses tremendously. On the one hand, they demand an increased productivity. On the other hand, the rapidly changing market imposes financial risks upon the introduction of capital intensive highperformance warehousing equipment which may be di?cult to reconfigure or discard. Hence, there is a great need for sophisticated techniques that provide a dependable basis for adequate planning and control of warehouses in such plex this paper we present a survey of methods and models that have appeared in the literature for the planning and control of warehousing systems. In the remainder of Section 1, we discuss warehousing systems and warehouse management. In Sections 2 and 3 we discuss the literature on planning and control issues, respectively. Finally, in Sec
研究報(bào)告相關(guān)推薦
鄂ICP備17016276號(hào)-1