TY - GEN
T1 - Determining Sources of Uncertainty, Performance, and Strategy in Biodiesel Supply Chain
AU - Agustina, Fitri
AU - Vanany, Iwan
AU - Siswanto, Nurhadi
N1 - Publisher Copyright:
© 2020 ACM.
PY - 2020/4/7
Y1 - 2020/4/7
N2 - Recently, biodiesel as a biofuel has a significant role in replacing fossil fuels because of its benefits, including energy security, reducing environmental impacts (e.g., global warming and GHG emissions), and improving the economy in the rural area. However, the utilization of large-scale biodiesel industry faces many challenges, mainly uncertainties that inherent within decision making in the biodiesel supply chain. Therefore, this paper contributes by identifying several sources of uncertainty in upstream, midstream, and downstream along the biodiesel supply chain. The sources of uncertainty were investigated by using a fishbone diagram as the tool to identify the root causes in which its elements derived from the Supply Chain Operations Reference (SCOR) model. SCOR model provides several basic supply chain processes, i.e., plan, source, make, and deliver. Due to these uncertainty issues related to the biodiesel supply chain, it highlights the need to set performance measures to be achieved through the alignment of supply chain strategies. In the Indonesian context, critical uncertainty sources in the biodiesel supply chain are oil palm supply, oil palm price, land farming, CPO price, CPO supply, production, and operation, technology, policy and regulation, transportation and logistics, biodiesel price, and biodiesel demand. Key performance measures for each source of uncertainty are also determined, such as oil palm yields and oil palm quality for biomass supply uncertainty. The uncertainty management strategies discussed refer to lean strategies, but agile or hybrid strategies are also considered. Future research directions are also presented in this paper.
AB - Recently, biodiesel as a biofuel has a significant role in replacing fossil fuels because of its benefits, including energy security, reducing environmental impacts (e.g., global warming and GHG emissions), and improving the economy in the rural area. However, the utilization of large-scale biodiesel industry faces many challenges, mainly uncertainties that inherent within decision making in the biodiesel supply chain. Therefore, this paper contributes by identifying several sources of uncertainty in upstream, midstream, and downstream along the biodiesel supply chain. The sources of uncertainty were investigated by using a fishbone diagram as the tool to identify the root causes in which its elements derived from the Supply Chain Operations Reference (SCOR) model. SCOR model provides several basic supply chain processes, i.e., plan, source, make, and deliver. Due to these uncertainty issues related to the biodiesel supply chain, it highlights the need to set performance measures to be achieved through the alignment of supply chain strategies. In the Indonesian context, critical uncertainty sources in the biodiesel supply chain are oil palm supply, oil palm price, land farming, CPO price, CPO supply, production, and operation, technology, policy and regulation, transportation and logistics, biodiesel price, and biodiesel demand. Key performance measures for each source of uncertainty are also determined, such as oil palm yields and oil palm quality for biomass supply uncertainty. The uncertainty management strategies discussed refer to lean strategies, but agile or hybrid strategies are also considered. Future research directions are also presented in this paper.
KW - Biodiesel
KW - fishbone-SCOR diagram
KW - performance
KW - strategy
KW - supply chain
KW - uncertainty
UR - http://www.scopus.com/inward/record.url?scp=85086256447&partnerID=8YFLogxK
U2 - 10.1145/3396743.3396767
DO - 10.1145/3396743.3396767
M3 - Conference contribution
AN - SCOPUS:85086256447
T3 - ACM International Conference Proceeding Series
SP - 18
EP - 24
BT - Proceedings of the 2020 2nd International Conference on Management Science and Industrial Engineering, MSIE 2020
PB - Association for Computing Machinery
T2 - 2nd International Conference on Management Science and Industrial Engineering, MSIE 2020
Y2 - 7 April 2020 through 9 April 2020
ER -