Optimisation of Resin Production Quantity Using De Novo Programming Models.
PT. ABC is one of the well-known resin manufacturing companies that produces resin in large quantity. However, there is still residual production due to excess raw materials. The objective of this research is to find out appropriate combination of resin to be used in paint production, so that PT. AB...
| Publicado en: | Pertanika Journal of Social Sciences & Humanities Vol. 26T; pp. 307 - 320 |
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| Autores principales: | , , |
| Formato: | Artículo |
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Universiti Putra Malaysia
2018Special Issue
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=134101560&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 134101560 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 01287702 TKQ jtl: Pertanika Journal of Social Sciences & Humanities issn: 01287702 maglogo: N pubinfo: dt: 2018Special Issue vid: 26T pid: 20751 pub: Universiti Putra Malaysia artinfo: ui: 134101560 ppf: 307 ppct: 13 formats: fmt: @attributes: type: P size: 2MB tig: atl: Optimisation of Resin Production Quantity Using De Novo Programming Models. aug: au: Eni, Yuli Heryan, Laura Sepnivea Rudi affil: Management Department, BINUS Business School Undergraduate Program, Bina Nusantara University, 11480 Jakarta Barat, Indonesia su: Production quantity Demand forecasting Linear programming Research methodology Data analysis sug: subj: Production quantity Demand forecasting Linear programming Research methodology Data analysis keyword: De Novo Programming demand forecasts linear programming production quantity profit ab: PT. ABC is one of the well-known resin manufacturing companies that produces resin in large quantity. However, there is still residual production due to excess raw materials. The objective of this research is to find out appropriate combination of resin to be used in paint production, so that PT. ABC would achieve an optimal profit. The research method used to solve the problem is Forecasting Method and De Novo Programming. Besides, this research uses QM for Windows 2 software to support data analysis process. The results show that the demand forecast in December 2015 for each type of resin is: 240,146 kg (long type), 311,858 kg (medium type), 340,783 kg (short type), and 376.660 (other types). The combination of resin types to be produced that can optimise the production in December 2015 is: 240,146 kg (long type), 311,858 kg (medium type), 340.783 kg (short type), and 473.712,6 kg (other types). From this combination, PT. ABC would achieve optimal profit of Rp 6.388.886,315 or approximately Rp 6.3 billion. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Copyright of Pertanika Journal of Social Sciences & Humanities is the property of Universiti Putra Malaysia and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. item: Pertanika Journal of Social Sciences & Humanities holder: Universiti Putra Malaysia dt: @attributes: year: 2018 holdings: @attributes: islocal: N |
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