電腦銷售外文翻譯---模擬空房情況展望電子商務(wù)中的個人電腦銷售-電子商務(wù)(編輯修改稿)
2025-02-24 03:06 本頁面
【文章內(nèi)容簡介】 ve product structures, alternative inventory and production control methods on inventory and customer service performance. Bagchi et al. (1998) evaluated the design and operation of supply chain using simulation and optimization, analyzed SCM issues such as site location, replenishment policies, manufacturing policies, transportation policies, stocking levels, lead time and customer (2021) analyzed the impact of automobilemodel and option mix on primary supply chain performancesuch as customer wait time, condition mismatch andpart usage. Business process modeling is another area where simulation methods have been actively used to identify business improvement opportunity by evaluating business process policies, process alternatives, and to estimate adequate resources for various tasks within a business et al. (2021) simulated a business process of a putermanufacturer and identified a substantial process improvementopportunity in the business management cycletime by changes in processing steps and proper allocationof resources. In this work, we describe a simulation model that estimates availability outlook, ., expected ship dates and their accuracy of an emerce business where end products are configured from different ponents by customers. This model simulates the effect of stochastic customer shopping traffic。 uncertainty of order size, customer preferences of product features and demand forecast。 inventory policies, sourcing policies and supply planning policies。 manufacturing lead time etc. on the profiles of ship dates. The simulation model provides important statistical information of availability outlook and customer services before the business is put into operation so that intelligent business decisions are made before investment is made. The model also estimates the accuracy of the ship dates determination arising from frequency of data munications between the puter systems supporting the online business. For multiple quantity orders, the simulation model also putes ship dates for partial shipments, if it is optional, and the total shipment. 2 MODELING OF COMPONENT AVAILABILITY The availability quantities of ponents are used in puting the ship date of customer requests and orders. The availability quantity changes as a result of four discrete events in the simulation. It changes as customer order is released, as replenishment is done, as data refresh is done, and as roll forward is carried. There are two instances of ponent availability arrays。 one representing the availability at real time (dynamic view of availability), and another representing known availability according to the content of availability database (static view of availability) at the time of availability calculation. The latter availability is refreshed by a batch processing schedule as a result of the delay in the fulfillment process. For example, the availability data can be refreshed every few minutes or hours. The discrepancy between these dynamic view and static view of availability data is the cause of the accuracy of ship date calculation. Order Generation Event Customer orders are generated in the invention in certain stochastic interval as they are modeled with certain distribution functions. At this time of the order generation, each order is assi
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