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Weeding
In course of time some books in the library become outdated (e.g. books with statistics). Some time later research result into making information in earlier edition inaccurate. Similar are books less circulated or fatigued one. Not all old books are valuable in each library. The need for weeding out such books can not be over emphasised. The following steps are suggested for weeding out unwanted material.
A tabular record for books withdrawn/weeded as per illustration may be maintained. In all such cases approval of the relevant parent body also must be taken before effective withdrawal/weeding.
The Section ‘Instructions to Bidders' in the Bidding Documents for Procurement of Goods through Open Advertised Bidding is meant to guide the Bidders in submitting responsive bids
Issues of Periodicals and Non-Book Material-Storing, Shelving and Arrangement: Most libraries have periodical collections, the current issues having to be display for browsing
scope of or
Question: (a) Selection of Consultant; (i) Give the reasons why an Expression of Interest may be required as a first step in the Procurement of Consultancy services. (ii
A company manufactures and sells a single product. The variable cost of the product is Rs 2.50 per unit and all production each month is sold at a price of Rs 3.70 per unit. A pote
Card Filing Work: After the Accession List is made the catalogue cards relating to the released documents are ready for merging with the catalogue. In the case of the Classif
O utput of quality planning process Quality management plan is one of the major outputs of quality planning. It describes how the project management team will implement the q
RightPages and Science Direct: Online Document Delivery Services Another two publishers, namely Springer-Verlag and Elsevier Science, have announced launching of online docum
In order to give unique co-extensive representation to each subject in the UoS, the classificationist has to ascertain the various attributes - infinite, turbulently dynamic, conti
A firm uses simple exponential smoothing with à=0.1 to forcast demand.the forecast for first week of february was 500units whereas actual demand turned out to be 450units....1.for
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