The development of a decision support framework for a quantitative risk assessment in multimodal green logistics: an empirical study

Abstract

The objective of this research was to develop a decision support framework (DSF) to assess quantitative risk in multimodal green logistics. This risk assessment is the combination of a number of models, the failure mode and effects analysis, the risk contour plot, the quantitative risk assessment, the analytic hierarchy process and the data envelopment analysis which can support a user to perform risk assessment in various decisions. The contribution of this research is that the risk assessment model can generate an optimal green logistics route in accordance with weight from the user. The highlight of this DSF is that the quantitative assessment model can reduce bias on risk assessment of logistics route. An in-depth case study, recommendations, limitations and further research are also provided.

A Systematic Literature Review of Green and Sustainable Logistics: Bibliometric Analysis, Research Trend and Knowledge Taxonomy

“…Shankar et al [72] quantified the dynamic uncertainties and intrinsic sustainability risks of freight transport and stated that most of the risks were socially induced rather than financially driven. The risks of multimodal green logistics were analyzed by Kengpol and Tuammee [73]. A system dynamics simulation conducted by Sudarto et al [74] revealed that the economic performance of G&SL is directly affected by freight policy, while environmental performance is indirectly affected.…”

Design of Decision Support System for Road Freight Transportation Routing Using Multilayer Zero One Goal Programming

“…Kengpol et al [6] presented a DSS to select multimodal routes between Thailand and Vietnam, but did not mention physical characteristics. Kengpol et al [7] and Kengpol and Tuammee [8], who studied the multimodal transportation routing had acknowledged that a few physical route characteristics were classified in the infrastructure and equipment risks: capacity of bridges on the route, tunnels, slope and the width of roads, etc. However, this study adopted comprehensive risk assessment, without consideration of individual physical route characteristics.…”

“…Kengpol et al [7] established a new conceptual framework for route selection in multimodal transportation. Kengpol and Tuammee [8] introduced a decision support framework (DSF) for a quantitative risk assessment in multimodal green logistics, the DSF integrated quantitative risk assessment, Analytic Hierarchy Process (AHP) and Data Envelopment Analysis (DEA). Sattayaprasert et al [9] represented a method which used the model of Hazardous Material (HazMat) transportation routing with AHP to evaluate risk elements: risk of carriage unit explosion, risk of road accidents, and consequences of an incident.…”

Modelling and analysis of sustainable freight transportation

“…Fahimnia et al (2015) investigated the impacts of carbon pricing on manufacturing and distribution planning decisions by presenting a trade-off of supply chain models. Kengpol and Tuammee (2016) developed a decision-support framework (DSF) to assess quantitative risk in multimodal green logistics.…”