TY - GEN
T1 - Optimization of Integrated Production and Distribution Planning In the Cement Industry with Multi-Site Plants Model
AU - Sejahtera, Fuadi
AU - Zagloel, Teuku Yuri M.
AU - Zulkarnain, null
N1 - Publisher Copyright:
© 2021 ACM.
PY - 2021/5/25
Y1 - 2021/5/25
N2 - Each stage of the supply chain must be able to maximize value to achieve supply chain profitability. Handling production planning and distribution planning as a part of the supply chain are carried out to obtain optimal strategies that increase efficiency and reduce the risk of supply chain network failure. Distribution cost problems in the fulfillment of raw materials affect the total production costs as a whole. This paper proposes an integrated production and distribution planning in a multi-site plants model, in order to obtain optimal profit from production in each plant in a different location. This model uses a raw material fulfillment multi-suppliers scheme through a mixture of internal and external sources. Mixed-integer linear programming method is used for model optimization by considering production capacity constraints, demand constraints, supply constraints, production costs, logistics costs, and product revenue. Analysis of various demand conditions was applied in the multi-suppliers scheme to see the sensitivity of the parameters.
AB - Each stage of the supply chain must be able to maximize value to achieve supply chain profitability. Handling production planning and distribution planning as a part of the supply chain are carried out to obtain optimal strategies that increase efficiency and reduce the risk of supply chain network failure. Distribution cost problems in the fulfillment of raw materials affect the total production costs as a whole. This paper proposes an integrated production and distribution planning in a multi-site plants model, in order to obtain optimal profit from production in each plant in a different location. This model uses a raw material fulfillment multi-suppliers scheme through a mixture of internal and external sources. Mixed-integer linear programming method is used for model optimization by considering production capacity constraints, demand constraints, supply constraints, production costs, logistics costs, and product revenue. Analysis of various demand conditions was applied in the multi-suppliers scheme to see the sensitivity of the parameters.
KW - distribution systems
KW - integrated models
KW - mixed-integer linear programming
KW - multi-site plants
KW - Production systems
UR - http://www.scopus.com/inward/record.url?scp=85143885106&partnerID=8YFLogxK
U2 - 10.1145/3468013.3468316
DO - 10.1145/3468013.3468316
M3 - Conference contribution
AN - SCOPUS:85143885106
T3 - ACM International Conference Proceeding Series
SP - 102
EP - 108
BT - Proceedings of the 4th Asia Pacific Conference on Research in Industrial and Systems Engineering
PB - Association for Computing Machinery
T2 - 4th Asia Pacific Conference on Research in Industrial and Systems Engineering: Building Business Resilience to Face the Challenge in Pandemic Era, APCORISE 2021
Y2 - 25 May 2021
ER -