UCSY's Research Repository

Statistical Analysis for Production in Service Industry

Show simple item record

dc.contributor.author Swe, Yee Yee
dc.contributor.author Tun, Myint Thu Zar
dc.date.accessioned 2019-07-22T07:32:30Z
dc.date.available 2019-07-22T07:32:30Z
dc.date.issued 2010-12-16
dc.identifier.uri http://onlineresource.ucsy.edu.mm/handle/123456789/1153
dc.description.abstract Capacity planning is the process of determining the production capacity needed by an organization to meet changing demands for its products. A discrepancy between the capacity of an organization and the demands of its customers results in inefficiency, either in under-utilized resources or unfulfilled customers. The goal of capacity planning is to minimize this discrepancy. In this paper, we make up a computerized system that projects the load from a given material requirement planning (MRP) and capacity requirement planning (CRP) onto the capacity of this system and identifies underloads and overloads. This system will calculate statistical analysis to get optimal solution for future soap production in service industry. According to using CRP, the customer order within the amount of required time is calculated to validate showing accept or reject message. Moreover, the production schedule can be more easily modified to reflect changing customer needs and managers from all functional areas can do a better job in service industry. en_US
dc.language.iso en en_US
dc.publisher Fifth Local Conference on Parallel and Soft Computing en_US
dc.subject capacity planning en_US
dc.subject capacity requirement planning (CRP) en_US
dc.subject statistical analysis en_US
dc.subject material requirement planning (MRP) en_US
dc.title Statistical Analysis for Production in Service Industry en_US
dc.type Article en_US

Files in this item

This item appears in the following Collection(s)

Show simple item record

Search Repository


My Account