TY - JOUR
T1 - Production layout optimization for small and medium scale food industry
AU - Ojaghi, Yosra
AU - Khademi, Alireza
AU - Yusof, Noordin Mohd
AU - Renani, Nafiseh Ghorbani
AU - Hassan, Syed Ahmad Helmi Bin Syed
N1 - Publisher Copyright:
© 2015 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license.
PY - 2015
Y1 - 2015
N2 - According to the number of competitors in the global marketplace, it is important for companies to reduce their costs and expenses in order to be a sustainable competitor. As a case study, a company producing meatball and soup paste located at Bayan Lepas, Penang was selected with a view of finding a sustainable layout that minimizes travel distance, material handling and losses. A few steps were taken to achieve this aim. Firstly, several layouts were generated using two types of construction techniques, viz. Systematic Layout Planning (SLP) and Graph Based Theory (GBT). In the next step, the Efficiency Rate (ER) of each layout was calculated. The layout with the highest ER was then selected and optimized by using Pairwise Exchange Method (PEM). The result showed that the ER of the selected layout improved from 90.43% to 94.78% after optimizing. Based on this study, it was found that even the best selected layout could be improved, and it is necessary to conduct facility and layout planning before any factory set up to ensure sustainable process and reduce losses.
AB - According to the number of competitors in the global marketplace, it is important for companies to reduce their costs and expenses in order to be a sustainable competitor. As a case study, a company producing meatball and soup paste located at Bayan Lepas, Penang was selected with a view of finding a sustainable layout that minimizes travel distance, material handling and losses. A few steps were taken to achieve this aim. Firstly, several layouts were generated using two types of construction techniques, viz. Systematic Layout Planning (SLP) and Graph Based Theory (GBT). In the next step, the Efficiency Rate (ER) of each layout was calculated. The layout with the highest ER was then selected and optimized by using Pairwise Exchange Method (PEM). The result showed that the ER of the selected layout improved from 90.43% to 94.78% after optimizing. Based on this study, it was found that even the best selected layout could be improved, and it is necessary to conduct facility and layout planning before any factory set up to ensure sustainable process and reduce losses.
KW - Efficiency Rate (ER)
KW - Facilities layout planning
KW - Graph Based Theory (GBT)
KW - Pairwise Exchange Method (PEM)
KW - Sustainable layout
KW - Systematic Layout Planning (SLP)
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U2 - 10.1016/j.procir.2014.07.050
DO - 10.1016/j.procir.2014.07.050
M3 - Conference article
AN - SCOPUS:84939635645
SN - 2212-8271
VL - 26
SP - 247
EP - 251
JO - Procedia CIRP
JF - Procedia CIRP
T2 - 12th Global Conference on Sustainable Manufacturing, GCSM 2014
Y2 - 22 September 2014 through 24 September 2014
ER -