scholarly journals A Review of Human Judgment in Stock Control System for Disaster Logistics

2018 ◽  
Vol 212 ◽  
pp. 1319-1325 ◽  
Author(s):  
Inna Kholidasari ◽  
Taufika Ophiyandri
1987 ◽  
Vol 21 (4) ◽  
pp. 283-288
Author(s):  
R. Wootton ◽  
F. Henderson

Drug stocks in an animal unit were rationalized by discarding out-of-date or unwanted items and drawing up an approved stock list. A computerized system of stock control which enables a regular and accurate inventory of pharmaceuticals to be made was then established. In addition, the paperwork required for re-ordering drugs is produced automatically. Pharmaceuticals to a total value of £1650 were discarded during the rationalization phase. The value of drugs stocked in the animal unit then stabilized at about one-third of previous levels. In the first 6 months of operation of the new system drug expenditure fell by about 40% in comparison with the same period 1 year previously. The drug stock control system has proved economical to operate and accurate, and can be run by persons without computer expertise. Valuable savings in both cost and labour have resulted. Effective management of drug expenditure by the animal unit is now possible.


Author(s):  
Hnin Yu Yu Win ◽  
Htwe Htwe Pyone ◽  
Thi Thi Soe ◽  
Zarni Sann

A stock control system is basically a database; it must keep the up-to-date records of all the stock. Adequate stock must be maintained to supply the customers with their needs and minimum delay. In manual inventory system, the information is difficult to share from one person to another and unexpected difficult is human error. To alleviate these difficulties and to ascertain the exact stock level of a company, this paper presents a design of stock control system on a petrol station using stock levels of inventory system such as reorder level, economic order quantity, and maximum level. To demonstrate the presented system, we apply it to a number of sale data in Lucky 7 petrol station in Mandalay. The stock control system is implemented by C# programming language and SQL server database.


1989 ◽  
Vol 40 (11) ◽  
pp. 945-952 ◽  
Author(s):  
J. C. Thorpe ◽  
A. Marr ◽  
R. S. Slack

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