TY - GEN
T1 - Modeling agricultural supply chain flexibility
T2 - 22nd International Conference of Hong Kong Society for Transportation Studies: Transport and Society, HKSTS 2017
AU - Siriwatthanaphan, Pareeya
AU - Jansuwan, Sarawut
AU - Chen, Anthony
PY - 2017/1/1
Y1 - 2017/1/1
N2 - The logistics and supply chain management for agricultural supply chain in Thailand has been more emphasized by both private and public sectors due to its importance to the national economy. The key performance indicators of agricultural supply chain traditionally consider three major dimensions including cost, lead time, and reliability. However, the supply chain flexibility which is an important indicator to assess the ability of all players in the agricultural supply chain can accommodate the additional demand is rarely explored. The objective of this study is to develop a mathematical programming model to assess the supply chain flexibility for cassava business. In this study, a stochastic programming approach is adopted for modeling the flexibility. The proposed model was divided into two stages. The first stage (BASE) evaluates the demand base pattern along the cassava supply chain networks. The second stage (ADD-VOL) is to assess the reserve capacity using the base pattern obtained from the first stage. The reserved capacity at each stage presents the flexibility of the supply chain that can accommodate additional demand. The proposed models could be used to identify the bottlenecks of the supply chain in order to enhance its capacity for better serving the future supply and demand changes.
AB - The logistics and supply chain management for agricultural supply chain in Thailand has been more emphasized by both private and public sectors due to its importance to the national economy. The key performance indicators of agricultural supply chain traditionally consider three major dimensions including cost, lead time, and reliability. However, the supply chain flexibility which is an important indicator to assess the ability of all players in the agricultural supply chain can accommodate the additional demand is rarely explored. The objective of this study is to develop a mathematical programming model to assess the supply chain flexibility for cassava business. In this study, a stochastic programming approach is adopted for modeling the flexibility. The proposed model was divided into two stages. The first stage (BASE) evaluates the demand base pattern along the cassava supply chain networks. The second stage (ADD-VOL) is to assess the reserve capacity using the base pattern obtained from the first stage. The reserved capacity at each stage presents the flexibility of the supply chain that can accommodate additional demand. The proposed models could be used to identify the bottlenecks of the supply chain in order to enhance its capacity for better serving the future supply and demand changes.
KW - Agricultural supply chain
KW - Reserved capacity
KW - Stochastic programming
KW - Supply chain flexibility
UR - http://www.scopus.com/inward/record.url?scp=85050609125&partnerID=8YFLogxK
M3 - Conference article published in proceeding or book
AN - SCOPUS:85050609125
T3 - Transport and Society - Proceeding of the 22nd International Conference of Hong Kong Society for Transportation Studies, HKSTS 2017
SP - 669
EP - 676
BT - Transport and Society - Proceeding of the 22nd International Conference of Hong Kong Society for Transportation Studies, HKSTS 2017
A2 - Chen, Anthony
A2 - Sze, Tony N.N.
PB - Hong Kong Society for Transportation Studies Limited
Y2 - 9 December 2017 through 11 December 2017
ER -