Paper Info
Title
Integrating Data Visibility Decision In A Multi-Objective Procurement Transport Planning Under Risk: A Modified Nsga-Ii
Abstract
The purpose of this paper is an in-depth investigation of the interplay between suppliers' data visibility and procurement risks in the supplier selection and procurement planning problem. The role of suppliers' ability to share high-quality data is incorporated into a decision-making environment. We consider supply chain visibility (as an exogenous decision) to increase the buyer's awareness of the order status and manage supply chain risks. In doing so, a multi-attribute information visibility index is proposed to measure suppliers' capability to share the required visible data. A novel multi-objective mixed-integer programming model is then developed to determine the cross-functional policy of purchasing and transportation under risk. A Non-dominated Sorting Genetic Algorithm (NSGA-II) is also tailored to attain Pareto-optimal solutions. Our result indicates the superiority of the proposed NSGA-II algorithm. (C) 2021 Elsevier B.V. All rights reserved.
Year
DOI
Venue
2021
10.1016/j.asoc.2021.107406
APPLIED SOFT COMPUTING
Keywords
DocType
Volume
Supply data quality, Multi-objective optimization, Procurement planning, Visibility and risk interface, NSGA-II
Journal
107
ISSN
Citations 
PageRank 
1568-4946
1
0.35
References 
Authors
0
2
Name
Order
Citations
PageRank
Fereshte Shabani-Naeeni110.35
R. Ghasemy Yaghin210.35