Log in
Language:

MERAL Myanmar Education Research and Learning Portal

  • Top
  • Universities
  • Ranking
To
lat lon distance
To

Field does not validate



Index Link

Index Tree

Please input email address.

WEKO

One fine body…

WEKO

One fine body…

Item

{"_buckets": {"deposit": "fbf9ee0a-568f-44bc-ba3b-cfd31242f093"}, "_deposit": {"id": "3398", "owners": [], "pid": {"revision_id": 0, "type": "recid", "value": "3398"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/3398", "sets": ["user-ucsy"]}, "communities": ["ucsy"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "Statistical Analysis for Production in Service Industry", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "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."}]}, "item_1583103108160": {"attribute_name": "Keywords", "attribute_value_mlt": [{"interim": "capacity planning"}, {"interim": "capacity requirement planning (CRP)"}, {"interim": "statistical analysis"}, {"interim": "material requirement planning (MRP)"}]}, "item_1583103120197": {"attribute_name": "Files", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_access", "date": [{"dateType": "Available", "dateValue": "2019-07-22"}], "displaytype": "preview", "download_preview_message": "", "file_order": 0, "filename": "psc2010paper (214).pdf", "filesize": [{"value": "363 Kb"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_free", "mimetype": "application/pdf", "size": 363000.0, "url": {"url": "https://meral.edu.mm/record/3398/files/psc2010paper (214).pdf"}, "version_id": "078acd64-03c5-4f16-be3a-67a00eeb73eb"}]}, "item_1583103131163": {"attribute_name": "Journal articles", "attribute_value_mlt": [{"subitem_issue": "", "subitem_journal_title": "Fifth Local Conference on Parallel and Soft Computing", "subitem_pages": "", "subitem_volume": ""}]}, "item_1583103147082": {"attribute_name": "Conference papers", "attribute_value_mlt": [{"subitem_acronym": "", "subitem_c_date": "", "subitem_conference_title": "", "subitem_part": "", "subitem_place": "", "subitem_session": "", "subitem_website": ""}]}, "item_1583103211336": {"attribute_name": "Books/reports/chapters", "attribute_value_mlt": [{"subitem_book_title": "", "subitem_isbn": "", "subitem_pages": "", "subitem_place": "", "subitem_publisher": ""}]}, "item_1583103233624": {"attribute_name": "Thesis/dissertations", "attribute_value_mlt": [{"subitem_awarding_university": "", "subitem_supervisor(s)": [{"subitem_supervisor": ""}]}]}, "item_1583105942107": {"attribute_name": "Authors", "attribute_value_mlt": [{"subitem_authors": [{"subitem_authors_fullname": "Swe, Yee Yee"}, {"subitem_authors_fullname": "Tun, Myint Thu Zar"}]}]}, "item_1583108359239": {"attribute_name": "Upload type", "attribute_value_mlt": [{"interim": "Publication"}]}, "item_1583108428133": {"attribute_name": "Publication type", "attribute_value_mlt": [{"interim": "Article"}]}, "item_1583159729339": {"attribute_name": "Publication date", "attribute_value": "2010-12-16"}, "item_1583159847033": {"attribute_name": "Identifier", "attribute_value": "http://onlineresource.ucsy.edu.mm/handle/123456789/1153"}, "item_title": "Statistical Analysis for Production in Service Industry", "item_type_id": "21", "owner": "1", "path": ["1597824273898"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000003398", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2019-07-22"}, "publish_date": "2019-07-22", "publish_status": "0", "recid": "3398", "relation": {}, "relation_version_is_last": true, "title": ["Statistical Analysis for Production in Service Industry"], "weko_shared_id": -1}
  1. University of Computer Studies, Yangon
  2. Conferences

Statistical Analysis for Production in Service Industry

http://hdl.handle.net/20.500.12678/0000003398
http://hdl.handle.net/20.500.12678/0000003398
ec3d1cad-3010-46ef-9f36-ebda2047ada6
fbf9ee0a-568f-44bc-ba3b-cfd31242f093
None
Preview
Name / File License Actions
psc2010paper psc2010paper (214).pdf (363 Kb)
Publication type
Article
Upload type
Publication
Title
Title Statistical Analysis for Production in Service Industry
Language en
Publication date 2010-12-16
Authors
Swe, Yee Yee
Tun, Myint Thu Zar
Description
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.
Keywords
capacity planning, capacity requirement planning (CRP), statistical analysis, material requirement planning (MRP)
Identifier http://onlineresource.ucsy.edu.mm/handle/123456789/1153
Journal articles
Fifth Local Conference on Parallel and Soft Computing
Conference papers
Books/reports/chapters
Thesis/dissertations
Back
0
0
views
downloads
See details
Views Downloads

Versions

Ver.1 2020-09-01 10:05:06.743573
Show All versions

Share

Mendeley Twitter Facebook Print Addthis

Export

OAI-PMH
  • OAI-PMH DublinCore
Other Formats
  • JSON

Confirm


Back to MERAL


Back to MERAL