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With a standard turnover rate of four times per month, the average inventory should be 300 units (1,200 ( 4). To produce an average inventory of 300 units, the ending inventory should be 100 units: 500 + 100 = 300 2 Using the symbol X to denote the quantity to be budgeted as ending inventory, the following formula can be applied: 2b 2(1200) X = a = 500 = 100 units c 4 Value of ending inventory is $1,000 (100 $10) Where the formula produces a minus quantity (as it will if beginning inventory is excessive), the case should be studied as an individual problem, and a specific estimate should be made for the process or department in question. Control over the work-in-process inventories can be exercised by a continuous check of turnover rates. Where the individual processes, departments, or plants are revealed to be excessive, they should then be subjected to individual investigation. The control of work-in-process inventories has been sorely neglected in many concerns. The time between which material enters the factory and emerges as the finished product is often much longer than necessary for efficient production. An extensive study of the automobile tire industry revealed an amazing spread of time among five leading manufacturers, one company having an inventory float six times that of another. This study also indicated, by an analysis of the causes of the float time, that substantial reductions could be made in all five of the companies without interfering with production efficiency. Thus, budgeting for work-in-process inventory is an excellent area in which to incorporate an active program of inventory

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How to export rdlc report to PDF without using ReportViewer ...
ReportPath = "YourReportHere. rdlc "; byte[] bytes = viewer. LocalReport .Render(" PDF ", null, out mimeType, out encoding, out extension, out ...

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Due to the simple nature of the schema, retrieving the content when the user selects an article is trivial:

if (window.focus) { // window.focus() is supported, use it } else { // window.focus() is not supported, // use alternate method }

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The current e-commerce system is primarily based on a client and server architecture. Basically, commercial transactions are handled by many request-response interactions over the internet. As the internet is a best-effort network, sometimes a user may experience a long waiting time. For some applications such as comparing product prices in the market, the mobile agent approach provides a better solution. This involves sending a mobile software program called a mobile agent to a remote system. The agent can then interact with other agents on the remote system. This releases the resources of the original system for doing other tasks. The results of the interactions are finally returned to the user. Let us use the following example to illustrate the benefits of mobile agents. Suppose you want to buy a book. In order to search for the seller who can offer you the best price, you need to visit a number of bookstores and compare the prices yourself. By using a mobile-agent-based system, you can delegate the work to one or more mobile agent(s). The following table shows the advantages of this compared with the cliendserver approach.

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The accuracy of a putaway, as noted in the last measurement, is certainly important, but can take so long that it impacts the ability of a company to turn around items for shipment to customers or delivery to the shop floor. Consequently, one must also track the average putaway cycle time to ensure that this is being done in as short a period as possible. It is best to report the putaway cycle time and putaway accuracy measurements together in order to obtain an overall picture of the putaway function. To measure putaway cycle time, subtract the arrival time of each receipt from its putaway time, summarize this information for all receipts during the measurement period, and divide it by the total number of receipts in the period. The calculation is as follows: Sum for all receiving transactions [(Putaway date/time) (Receipt date/time)] Number of receipts during the measurement period

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