How to Choose the Greenest Delivery Plan: A Framework to Measure Key Performance Indicators for Sustainable Urban Logistics

Giret, Adriana; Julián, Vicente; Corchado, Juan M.; Fernández, Alberto; Salido, Miguel Á.; Tang, Dunbing

doi:10.1007/978-3-319-99707-0_23

Cited by 2 publications

(1 citation statement)

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“…The core of offshore outsourcing is the practice of using a supplier rather than in-house employees to perform a function [2]. The following question to be solved is where to outsource [7]. The selected provider will participate in increasing integration of the SC.…”

Section: Introductionmentioning

confidence: 99%

DCM: D Number Extended Cognitive Map. Application on Location Selection in SCM

Zhou

Xiao²

2019

INT J COMPUT COMMUN, Int. J. Comput. Commun. Control

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Offshore outsourcing is a widely used management technique for performing business functions with the aim of reducing labor and transportation costs. The selection of locations has a significant influence on the supply chain’s resilience and qualities, but the influence of multiple external factors on the supply chain’s performance in local places in a complex and uncertain environment has not been examined. In this study, we investigated the influence of external factors in a highly uncertain and complicated situation in which relationships between external factors and supply chain resilience are complicated. Furthermore, we proposed a novel model to select locations from a comprehensive perspective. Specifically, the fuzzy cognitive map (FCM) is utilized to simulate the dynamic influence process where the adjacency is aggregated by D numbers. The weights of different resilience capabilities are considered from the perspective of maximizing benefits by using the decision-making trial and evaluation laboratory-analytic network processes (DEMATEL-ANP) model. By comparing the distance to the ideal solutions, we selected the best alternative location. Our results differ from the general case, which reveals that the weights of different capabilities influence selections.

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Section: Introductionmentioning

confidence: 99%