Goal programming problem solving with weighted method and its application to production planning in PT. Pardic Jaya chemicals
The purpose of this study is to solve the problem of production planning to minimize overstock with forecasting methods where the results are used to form a Goal Programming model and solved by the Weighted method. Overstock problems can be solved by using the demand forecasting method by comparing...
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| description | The purpose of this study is to solve the problem of production planning to minimize overstock with forecasting methods where the results are used to form a Goal Programming model and solved by the Weighted method. Overstock problems can be solved by using the demand forecasting method by comparing the MAD, MSE, and MFE values of four forecasting methods including the Double Moving Average, Single Exponential Smoothing, Double Exponential Smoothing, and Linear Trend method. Forecasting results we obtained are then used to form the Goal Programming model. Another goal to be achieved is to reduce inventory costs and also get profit from sales so that the Weighted method is used here because each target has a different importance weight. The amount of the estimated cost of inventory due to forecast in 2020 will decrease from Rp. 8,130,505,919 to around Rp. 4,589,859,000. Sales profit is obtained with an income of Rp. 379,942,200. |
| doi_str_mv | 10.1063/5.0125475 |
| format | Article |
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Pardic Jaya chemicals</title><source>AIP Journals Complete</source><creator>Anggera, S. A. ; Lestari, H. P.</creator><contributor>Andayani, Sri ; Sahid ; Wutsqa, Dhoriva Urwatul ; Hartono ; Retnowati, Endah ; Kismiantini ; Retnawati, Heri ; Somerkoski, Brita ; Abadi, Agus Maman ; Sugiman ; Setyaningrum, Wahyu</contributor><creatorcontrib>Anggera, S. A. ; Lestari, H. P. ; Andayani, Sri ; Sahid ; Wutsqa, Dhoriva Urwatul ; Hartono ; Retnowati, Endah ; Kismiantini ; Retnawati, Heri ; Somerkoski, Brita ; Abadi, Agus Maman ; Sugiman ; Setyaningrum, Wahyu</creatorcontrib><description>The purpose of this study is to solve the problem of production planning to minimize overstock with forecasting methods where the results are used to form a Goal Programming model and solved by the Weighted method. Overstock problems can be solved by using the demand forecasting method by comparing the MAD, MSE, and MFE values of four forecasting methods including the Double Moving Average, Single Exponential Smoothing, Double Exponential Smoothing, and Linear Trend method. Forecasting results we obtained are then used to form the Goal Programming model. Another goal to be achieved is to reduce inventory costs and also get profit from sales so that the Weighted method is used here because each target has a different importance weight. The amount of the estimated cost of inventory due to forecast in 2020 will decrease from Rp. 8,130,505,919 to around Rp. 4,589,859,000. 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A.</creatorcontrib><creatorcontrib>Lestari, H. P.</creatorcontrib><title>Goal programming problem solving with weighted method and its application to production planning in PT. Pardic Jaya chemicals</title><title>AIP conference proceedings</title><description>The purpose of this study is to solve the problem of production planning to minimize overstock with forecasting methods where the results are used to form a Goal Programming model and solved by the Weighted method. Overstock problems can be solved by using the demand forecasting method by comparing the MAD, MSE, and MFE values of four forecasting methods including the Double Moving Average, Single Exponential Smoothing, Double Exponential Smoothing, and Linear Trend method. Forecasting results we obtained are then used to form the Goal Programming model. Another goal to be achieved is to reduce inventory costs and also get profit from sales so that the Weighted method is used here because each target has a different importance weight. The amount of the estimated cost of inventory due to forecast in 2020 will decrease from Rp. 8,130,505,919 to around Rp. 4,589,859,000. Sales profit is obtained with an income of Rp. 379,942,200.</description><subject>Forecasting</subject><subject>Goal programming</subject><subject>Inventory</subject><subject>Mathematical models</subject><subject>Problem solving</subject><subject>Production planning</subject><subject>Sales</subject><subject>Smoothing</subject><issn>0094-243X</issn><issn>1551-7616</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNotUMtOwzAQtBBIlMKBP7DEDSll_Y6PqIICqkQPPXCLXMdpXCVOSFxQD_w7Sdu9zI40s49B6J7AjIBkT2IGhAquxAWaECFIoiSRl2gCoHlCOfu6Rjd9vwOgWql0gv4Wjalw2zXbztS1D9ux31Suxn1T_Yz818cS_zq_LaPLce1i2eTYhBz72GPTtpW3Jvom4NiM3nxvj6ytTAij3we8Ws_wynS5t_jDHAy2pasHV9XfoqtiAHd3xilav76s52_J8nPxPn9eJq1ORZIO5RinCsA4VhSc6VTnqRA0J1QXUlBHmQYFxEjJiWbCSc4VbBS3hbCWTdHDaexw3_fe9THbNfsuDBszqngKwAlRg-rxpOqtj8eXsrbztekOGYFsTDcT2Tld9g9B2Gwg</recordid><startdate>20221208</startdate><enddate>20221208</enddate><creator>Anggera, S. 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A.</creatorcontrib><creatorcontrib>Lestari, H. P.</creatorcontrib><collection>Technology Research Database</collection><collection>Aerospace Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>AIP conference proceedings</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Anggera, S. A.</au><au>Lestari, H. P.</au><au>Andayani, Sri</au><au>Sahid</au><au>Wutsqa, Dhoriva Urwatul</au><au>Hartono</au><au>Retnowati, Endah</au><au>Kismiantini</au><au>Retnawati, Heri</au><au>Somerkoski, Brita</au><au>Abadi, Agus Maman</au><au>Sugiman</au><au>Setyaningrum, Wahyu</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Goal programming problem solving with weighted method and its application to production planning in PT. Pardic Jaya chemicals</atitle><jtitle>AIP conference proceedings</jtitle><date>2022-12-08</date><risdate>2022</risdate><volume>2575</volume><issue>1</issue><issn>0094-243X</issn><eissn>1551-7616</eissn><coden>APCPCS</coden><abstract>The purpose of this study is to solve the problem of production planning to minimize overstock with forecasting methods where the results are used to form a Goal Programming model and solved by the Weighted method. Overstock problems can be solved by using the demand forecasting method by comparing the MAD, MSE, and MFE values of four forecasting methods including the Double Moving Average, Single Exponential Smoothing, Double Exponential Smoothing, and Linear Trend method. Forecasting results we obtained are then used to form the Goal Programming model. Another goal to be achieved is to reduce inventory costs and also get profit from sales so that the Weighted method is used here because each target has a different importance weight. The amount of the estimated cost of inventory due to forecast in 2020 will decrease from Rp. 8,130,505,919 to around Rp. 4,589,859,000. Sales profit is obtained with an income of Rp. 379,942,200.</abstract><cop>Melville</cop><pub>American Institute of Physics</pub><doi>10.1063/5.0125475</doi><tpages>9</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | Forecasting Goal programming Inventory Mathematical models Problem solving Production planning Sales Smoothing |
| title | Goal programming problem solving with weighted method and its application to production planning in PT. Pardic Jaya chemicals |
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