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A two-stage decision model for sustainable-resilient supplier selection and order allocation under uncertain environment
Kybernetes ( IF 2.5 ) Pub Date : 2024-03-15 , DOI: 10.1108/k-11-2023-2347
Lin Sun , Chunxia Yu , Jing Li , Qi Yuan , Shaoqiong Zhao

Purpose

The paper aims to propose an innovative two-stage decision model to address the sustainable-resilient supplier selection and order allocation (SSOA) problem in the single-valued neutrosophic (SVN) environment.

Design/methodology/approach

First, the sustainable and resilient performances of suppliers are evaluated by the proposed integrated SVN-base-criterion method (BCM)-an acronym in Portuguese of interactive and multi-criteria decision-making (TODIM) method, with consideration of the uncertainty in the decision-making process. Then, a novel multi-objective optimization model is formulated, and the best sustainable-resilient order allocation solution is found using the U-NSGA-III algorithm and TOPSIS method. Finally, based on a real-life case in the automotive manufacturing industry, experiments are conducted to demonstrate the application of the proposed two-stage decision model.

Findings

The paper provides an effective decision tool for the SSOA process in an uncertain environment. The proposed SVN-BCM-TODIM approach can effectively handle the uncertainties from the decision-maker’s confidence degree and incomplete decision information and evaluate suppliers’ performance in different dimensions while avoiding the compensatory effect between criteria. Moreover, the proposed order allocation model proposes an original way to improve sustainable-resilient procurement values.

Originality/value

The paper provides a supplier selection process that can effectively integrate sustainability and resilience evaluation in an uncertain environment and develops a sustainable-resilient procurement optimization model.



中文翻译:

不确定环境下可持续弹性供应商选择与订单分配的两阶段决策模型

目的

本文旨在提出一种创新的两阶段决策模型,以解决单值中智(SVN)环境中的可持续弹性供应商选择和订单分配(SSOA)问题。

设计/方法论/途径

首先,通过提出的综合SVN基础标准方法(BCM)(葡萄牙语交互式和多标准决策(TODIM)方法的缩写)来评估供应商的可持续和弹性绩效,并考虑到供应商的不确定性。做决定的过程。然后,建立了一种新颖的多目标优化模型,并使用U-NSGA-III算法和TOPSIS方法找到了最佳的可持续弹性订单分配解决方案。最后,基于汽车制造行业的实际案例,通过实验验证了所提出的两阶段决策模型的应用。

发现

该论文为不确定环境下的SSOA流程提供了有效的决策工具。所提出的SVN-BCM-TODIM方法可以有效处理决策者置信度和决策信息不完整带来的不确定性,从不同维度评估供应商绩效,同时避免标准之间的补偿效应。此外,所提出的订单分配模型提出了一种提高可持续弹性采购价值的原创方法。

原创性/价值

本文提供了一种能够在不确定环境下有效整合可持续性和弹性评估的供应商选择流程,并开发了可持续-弹性采购优化模型。

更新日期:2024-03-15
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