TY - JOUR
T1 - Selection over small-scale LNG transportation model in designing an efficient and reliable LNG supply chain using analytical network process
AU - Purwosaputra, A. A.
AU - Artana, K. B.
AU - Dinariyana, A. A.B.
N1 - Publisher Copyright:
© 2022, Sociedade Brasileira de Engenharia Naval.
PY - 2022/6
Y1 - 2022/6
N2 - Indonesia is one of the big countries, with area of about 1.9 million sq-km, of which 2/3 is covered by water, having of about 17,480 islands separated by seas that have made it as one of the world’s biggest archipelago country. Due to its vast territory and its archipelago characteristic, distribution of goods including natural gas to reach out those remote small islands surrounded by seas, is getting really challenging. The latest development of SS LNG technology has made distribution at various small sizes even possible to reach remote areas of Indonesian archipelago (de la Peña-Zarzuelo et al., Int J Oil Gas Coal Technol, https://doi.org/10.1504/IJOGCT.2019.10026342, 2020). The Indonesian government with its Ministerial of EMR Decree No. 13K/13/MEM/2020 (MEMR, 2020e) has mandated the state-owned oil & gas enterprise, i.e., PERTAMINA to establish LNG supply system to support the conversion of 52 power plants located among the islands of Indonesia. Designing & developing an efficient and reliable LNG supply chain system are the key issues to answer all of those challenges. Thus, selecting the transportation model that provide minimum logistic cost for such system is becoming the most critical decision to make amid of all its complexity. Multi-criteria decision analysis has so far been commonly used to help in a complex decision-making process. This study is going to demonstrate the use of analytical network process as one of the MCDA tools that is able to help not only in the process of selecting the best SS LNG transportation model out of the available alternatives. Yet unlike any other MCDA tools, ANP is also able to perform the sensitivity analysis to validate the decision made. The study has revealed the fact that amid few other considerations safety remains as the top priority, besides the fact that ANP has proven to be able to give a more robust output in term of consistency.
AB - Indonesia is one of the big countries, with area of about 1.9 million sq-km, of which 2/3 is covered by water, having of about 17,480 islands separated by seas that have made it as one of the world’s biggest archipelago country. Due to its vast territory and its archipelago characteristic, distribution of goods including natural gas to reach out those remote small islands surrounded by seas, is getting really challenging. The latest development of SS LNG technology has made distribution at various small sizes even possible to reach remote areas of Indonesian archipelago (de la Peña-Zarzuelo et al., Int J Oil Gas Coal Technol, https://doi.org/10.1504/IJOGCT.2019.10026342, 2020). The Indonesian government with its Ministerial of EMR Decree No. 13K/13/MEM/2020 (MEMR, 2020e) has mandated the state-owned oil & gas enterprise, i.e., PERTAMINA to establish LNG supply system to support the conversion of 52 power plants located among the islands of Indonesia. Designing & developing an efficient and reliable LNG supply chain system are the key issues to answer all of those challenges. Thus, selecting the transportation model that provide minimum logistic cost for such system is becoming the most critical decision to make amid of all its complexity. Multi-criteria decision analysis has so far been commonly used to help in a complex decision-making process. This study is going to demonstrate the use of analytical network process as one of the MCDA tools that is able to help not only in the process of selecting the best SS LNG transportation model out of the available alternatives. Yet unlike any other MCDA tools, ANP is also able to perform the sensitivity analysis to validate the decision made. The study has revealed the fact that amid few other considerations safety remains as the top priority, besides the fact that ANP has proven to be able to give a more robust output in term of consistency.
KW - Analytical hierarchy process
KW - Analytical network process
KW - LNG supply chains
KW - Multi-criteria decision analysis
KW - Small-scale LNG logistics and distribution
UR - http://www.scopus.com/inward/record.url?scp=85131949702&partnerID=8YFLogxK
U2 - 10.1007/s40868-022-00115-0
DO - 10.1007/s40868-022-00115-0
M3 - Article
AN - SCOPUS:85131949702
SN - 1679-396X
VL - 17
SP - 95
EP - 112
JO - Marine Systems and Ocean Technology
JF - Marine Systems and Ocean Technology
IS - 2
ER -