Method for forecasting the time standard of multiâ€characteristic item
The purpose of this paper is to propose a method for determining the time standard of items based on several characters, where part of them is quantitative and some of them are qualitative (dichotomic). The method of determining the time standard of an item is based on Multiple Linear Regression whe...
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| Format: | Article |
| Language: | English |
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Vilnius Gediminas Technical University
2005-03-01
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| Series: | Technological and Economic Development of Economy |
| Subjects: | |
| Online Access: | http://localhost/journals.vgtu.lt/index.php/TEDE/article/view/8490 |
| _version_ | 1818903624111095808 |
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| author | Yossi Hadad Lea Friedman |
| author_facet | Yossi Hadad Lea Friedman |
| author_sort | Yossi Hadad |
| collection | DOAJ |
| description | The purpose of this paper is to propose a method for determining the time standard of items based on several characters, where part of them is quantitative and some of them are qualitative (dichotomic). The method of determining the time standard of an item is based on Multiple Linear Regression where the dependent variable is the time standard for the production of a lot size of item and the characters of the item are the independent or regressor variables. In this paper we introduce the method for determining the time standard of an item, the way for measuring the qualitative independent variable. The method is illustrated on a case study in an Israeli plant in its research department of materials and processes. In this department a great variety of items were produced, each item has different characters.
SudÄ—tingo gaminio laiko normos prognozavimo metodas
Santrauka
Šio straipsnio tikslas †pasiūlyti gaminio gamybos laiko normos nustatymo metodą pagal daugelį kintamųjų, iš kurių vieni yra kiekybiniai, o kiti kokybiniai. Gaminio gamybos laiko normos metodas pagrįstas sudėtine linijine regresija. Čia gaminio gamybos laiko norma yra priklausomas kintamasis (masinei gamybai), o gaminio savybės yra nepriklausomi arba regresiniai kintamieji. Straipsnyje aprašomas minėtas metodas, pristatomas kokybinių kintamųjų įvertinimo principas. Metodas taikomas vienos Izrealio gamyklų Medžiagų ir procesų tyrimo skyriuje. Šiame skyriuje buvo pagaminta daug įvairiu savybių gaminių.
Reikšminiai žodžiai: prognozavimas, laiko norma, sudėtingas gaminys
First Published Online: 21 Oct 2010 |
| first_indexed | 2024-12-19T20:54:30Z |
| format | Article |
| id | doaj.art-b7a122f211b3444d9ed6b1154e213631 |
| institution | Directory Open Access Journal |
| issn | 2029-4913 2029-4921 |
| language | English |
| last_indexed | 2024-12-19T20:54:30Z |
| publishDate | 2005-03-01 |
| publisher | Vilnius Gediminas Technical University |
| record_format | Article |
| series | Technological and Economic Development of Economy |
| spelling | doaj.art-b7a122f211b3444d9ed6b1154e2136312022-12-21T20:06:01ZengVilnius Gediminas Technical UniversityTechnological and Economic Development of Economy2029-49132029-49212005-03-0111110.3846/13928619.2005.9637679Method for forecasting the time standard of multiâ€characteristic itemYossi Hadad0Lea Friedman1Dept of Industrial Engineering and Management , Sami Shamoon College of Engineering , 71 Bazel St., P.O. Box 45, Beerâ€Sheva, 84100, IsraelDept of Industrial Engineering and Management , Benâ€Gurion University of the Negev , Benâ€Gurion University of the Negev, P.O. Box 653, Beerâ€Sheva, 84105, IsraelThe purpose of this paper is to propose a method for determining the time standard of items based on several characters, where part of them is quantitative and some of them are qualitative (dichotomic). The method of determining the time standard of an item is based on Multiple Linear Regression where the dependent variable is the time standard for the production of a lot size of item and the characters of the item are the independent or regressor variables. In this paper we introduce the method for determining the time standard of an item, the way for measuring the qualitative independent variable. The method is illustrated on a case study in an Israeli plant in its research department of materials and processes. In this department a great variety of items were produced, each item has different characters. SudÄ—tingo gaminio laiko normos prognozavimo metodas Santrauka Å io straipsnio tikslas †pasiÅ«lyti gaminio gamybos laiko normos nustatymo metodÄ… pagal daugelį kintamųjų, iÅ¡ kurių vieni yra kiekybiniai, o kiti kokybiniai. Gaminio gamybos laiko normos metodas pagrįstas sudÄ—tine linijine regresija. ÄŒia gaminio gamybos laiko norma yra priklausomas kintamasis (masinei gamybai), o gaminio savybÄ—s yra nepriklausomi arba regresiniai kintamieji. Straipsnyje apraÅ¡omas minÄ—tas metodas, pristatomas kokybinių kintamųjų įvertinimo principas. Metodas taikomas vienos Izrealio gamyklų Medžiagų ir procesų tyrimo skyriuje. Å iame skyriuje buvo pagaminta daug įvairiu savybių gaminių. ReikÅ¡miniai žodžiai: prognozavimas, laiko norma, sudÄ—tingas gaminys First Published Online: 21 Oct 2010http://localhost/journals.vgtu.lt/index.php/TEDE/article/view/8490forecastingtime standardmultiâ€characteristic item |
| spellingShingle | Yossi Hadad Lea Friedman Method for forecasting the time standard of multiâ€characteristic item Technological and Economic Development of Economy forecasting time standard multiâ€characteristic item |
| title | Method for forecasting the time standard of multiâ€characteristic item |
| title_full | Method for forecasting the time standard of multiâ€characteristic item |
| title_fullStr | Method for forecasting the time standard of multiâ€characteristic item |
| title_full_unstemmed | Method for forecasting the time standard of multiâ€characteristic item |
| title_short | Method for forecasting the time standard of multiâ€characteristic item |
| title_sort | method for forecasting the time standard of multia€characteristic item |
| topic | forecasting time standard multiâ€characteristic item |
| url | http://localhost/journals.vgtu.lt/index.php/TEDE/article/view/8490 |
| work_keys_str_mv | AT yossihadad methodforforecastingthetimestandardofmultiacharacteristicitem AT leafriedman methodforforecastingthetimestandardofmultiacharacteristicitem |