TY - GEN
T1 - An Integrated Analytical Hierarchy Process and Monte Carlo Method Approach for Supplier Selection in Construction's Supply Chain
AU - Kristy, Cinthya Nila
AU - Zagloel, T. Yuri
N1 - Publisher Copyright:
© 2020 ACM.
PY - 2020/6/16
Y1 - 2020/6/16
N2 - Construction is typically more dynamic than any other business sector because of construction have a high uncertainty which can be affected by weathers, political-economy conditions, and unpredictable situation along the process. Supplier selection is an important key in construction, delay in supply materials and tools can affect the project's duration. There are many studies for supplier selection to solve the problem of supplier selection in construction. Recent studies using Decision-Making Method with a deterministic mathematical model. The aim of this study is to build a model for supplier selection with a probabilistic mathematical model to solve the uncertain problem in construction. This paper proposes an integrated MCDM methodology. Analytic Hierarchy Process (AHP) is used to determine the weight of the criteria for supplier selection, which needs an opinion from the experts. And Monte Carlo Method is used as a simulation for selected uncertain-criteria in construction using a case study from a construction company. The contribution of this research is to propose a probabilistic model MCDM for supplier selection in construction to conquer the uncertainty.
AB - Construction is typically more dynamic than any other business sector because of construction have a high uncertainty which can be affected by weathers, political-economy conditions, and unpredictable situation along the process. Supplier selection is an important key in construction, delay in supply materials and tools can affect the project's duration. There are many studies for supplier selection to solve the problem of supplier selection in construction. Recent studies using Decision-Making Method with a deterministic mathematical model. The aim of this study is to build a model for supplier selection with a probabilistic mathematical model to solve the uncertain problem in construction. This paper proposes an integrated MCDM methodology. Analytic Hierarchy Process (AHP) is used to determine the weight of the criteria for supplier selection, which needs an opinion from the experts. And Monte Carlo Method is used as a simulation for selected uncertain-criteria in construction using a case study from a construction company. The contribution of this research is to propose a probabilistic model MCDM for supplier selection in construction to conquer the uncertainty.
KW - AHP-Monte Carlo Method
KW - Probabilistic Model
KW - Supplier Selection
KW - Uncertainty in Construction
UR - http://www.scopus.com/inward/record.url?scp=85090957801&partnerID=8YFLogxK
U2 - 10.1145/3400934.3400989
DO - 10.1145/3400934.3400989
M3 - Conference contribution
AN - SCOPUS:85090957801
T3 - ACM International Conference Proceeding Series
SP - 300
EP - 304
BT - Asia Pacific Conference on Research in Industrial and Systems Engineering, APCORISE 2020 - Proceedings
PB - Association for Computing Machinery
T2 - 3rd Asia Pacific Conference on Research in Industrial and Systems Engineering, APCORISE 2020
Y2 - 16 June 2020
ER -