Abstract
A combination of product selection is one of the decision that are difficult to be determined especially in SME’s food manufacturing company that produces different types of food products. Making a wrong decision in the combination of product selection will affect company profitability. In this study, computer simulation, Multiple Criteria Data Envelopment Analysis (MCDEA), BCC output-oriented and cross efficiency is proposed to determine the efficient combination of product alternatives and to rank the combination of product alternatives. Six combinations of product alternatives are identified and with the assistance of computer simulation, inputs and outputs are generated. Inputs used are cost and work in process while revenue, average operator utilization and total production are outputs. The study was conducted at one of SME’s food manufacturing companies. The results show that the production of the same types of food product is chosen as the best combination of products. The proposed methods are systematic and comprehensive, especially when adopt to SME’s.
Original language | English |
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Pages (from-to) | 83-90 |
Number of pages | 8 |
Journal | Jurnal Teknologi |
Volume | 75 |
Issue number | 1 |
Publication status | Published - 1 Jul 2015 |
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Keywords
- BCC output-oriented model
- Cross efficiency
- MCDEA model
- Simulation
ASJC Scopus subject areas
- Engineering(all)
Cite this
Pemilihan gabungan produk menggunakan simulasi berkomputer dan analisis penyampulan data. / Rani, Ruzanita Mat; Ismail, Wan Rosmanira; Nordin, Wan Nor Hazwani Wan.
In: Jurnal Teknologi, Vol. 75, No. 1, 01.07.2015, p. 83-90.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Pemilihan gabungan produk menggunakan simulasi berkomputer dan analisis penyampulan data
AU - Rani, Ruzanita Mat
AU - Ismail, Wan Rosmanira
AU - Nordin, Wan Nor Hazwani Wan
PY - 2015/7/1
Y1 - 2015/7/1
N2 - A combination of product selection is one of the decision that are difficult to be determined especially in SME’s food manufacturing company that produces different types of food products. Making a wrong decision in the combination of product selection will affect company profitability. In this study, computer simulation, Multiple Criteria Data Envelopment Analysis (MCDEA), BCC output-oriented and cross efficiency is proposed to determine the efficient combination of product alternatives and to rank the combination of product alternatives. Six combinations of product alternatives are identified and with the assistance of computer simulation, inputs and outputs are generated. Inputs used are cost and work in process while revenue, average operator utilization and total production are outputs. The study was conducted at one of SME’s food manufacturing companies. The results show that the production of the same types of food product is chosen as the best combination of products. The proposed methods are systematic and comprehensive, especially when adopt to SME’s.
AB - A combination of product selection is one of the decision that are difficult to be determined especially in SME’s food manufacturing company that produces different types of food products. Making a wrong decision in the combination of product selection will affect company profitability. In this study, computer simulation, Multiple Criteria Data Envelopment Analysis (MCDEA), BCC output-oriented and cross efficiency is proposed to determine the efficient combination of product alternatives and to rank the combination of product alternatives. Six combinations of product alternatives are identified and with the assistance of computer simulation, inputs and outputs are generated. Inputs used are cost and work in process while revenue, average operator utilization and total production are outputs. The study was conducted at one of SME’s food manufacturing companies. The results show that the production of the same types of food product is chosen as the best combination of products. The proposed methods are systematic and comprehensive, especially when adopt to SME’s.
KW - BCC output-oriented model
KW - Cross efficiency
KW - MCDEA model
KW - Simulation
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UR - http://www.scopus.com/inward/citedby.url?scp=84933533514&partnerID=8YFLogxK
M3 - Article
AN - SCOPUS:84933533514
VL - 75
SP - 83
EP - 90
JO - Jurnal Teknologi
JF - Jurnal Teknologi
SN - 0127-9696
IS - 1
ER -