A multi-objective mixed robust possibilistic flexible programming approach for sustainable seaport-dry port network design under an uncertain environment

Tsao, Yu‐Chung; Thanh, Vo-Van

doi:10.1016/j.tre.2019.02.006

Cited by 70 publications

(23 citation statements)

References 48 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…By applying the Equations (16) and (17), the weighted grey decision matrix was formed, and then by applying the Equations (18) and (19), the negative ideal solution was defined. By applying the Equations (20)- (25), the grey Euclidian distances were obtained, and by applying the Equations (26)- (28), the grey Taxicab distances of the alternatives from the negative ideal solution were obtained. Afterwards, by applying the Equations (29)- (34), the grey matrix of the relative values of the alternatives was obtained and is presented in Table 6.…”

Section: Application Of the Hybrid Mcdm Model For Ranking The Potentimentioning

confidence: 99%

“…(e.g., [25]). There are also a significant number of studies that, in addition to the environmental, also take into account the economic or social sustainability (e.g., [6,13,26,27]), while the studies that simultaneously analyze environmental, economic, and social sustainability are very rare [1, 28,29]. This paper follows up the previous research in this area and builds upon it by considering the most favorable locations for establishing the concept of the DP terminals based on criteria that include the requirements of all stakeholders in the decision-making process in order to achieve environmental, economic, and social sustainability of the logistics system of the observed area.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Dry Port Terminal Location Selection by Applying the Hybrid Grey MCDM Model

et al. 2020

View full text Add to dashboard Cite

Globalization and decentralization of production generate the intensive growth of goods and transport flows, mostly performed by the maritime transport. Ports, as the main nodes in the global logistics networks, are becoming congested, space for their expansion limited, and traffic in their hinterland congested. As a solution to these and many other hinterland-transport-related problems stands out the development of dry port (DP) terminals. Selection of their location is one of the most important strategic decisions on which depends their competitiveness in the market and the functionality of the logistics network. Accordingly, the evaluation and selection of locations for the development of the DP in accordance with the requirements of various stakeholders is performed in this paper, as a prerequisite for the establishment of an ecological, economic, and socially sustainable logistics network in the observed area. To solve this problem, a new hybrid model of multi-criteria decision-making (MCDM) that combines Delphi, AHP (Analytical Hierarchy Process), and CODAS (Combinative Distance-based Assessment) methods in a grey environment is developed. The main contributions of this paper are the defined model, the problem-solving approach based on finding a compromise solution, simultaneous consideration of the environmental, economic, and social sustainability of the DP concept and its implementation in the regional international markets. The applicability of the approach and the defined MCDM model is demonstrated by solving a real-life case study of ranking the potential DP locations in the Western Balkans region. Based on the obtained results, it is concluded that in the current market conditions, it would be most realistic to open three DP terminals, in Zagreb, Ljubljana, and Belgrade.

show abstract

Section: Application Of the Hybrid Mcdm Model For Ranking The Potentimentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Dry Port Terminal Location Selection by Applying the Hybrid Grey MCDM Model

et al. 2020

View full text Add to dashboard Cite

show abstract

“…Zhang et al (2018) optimize the dry port locations and pricing strategy for profit optimization. Tsao and Thanh (2019) optimize the sustainable dry port network design which minimize the economic, environment and social costs. All these studies formulate the location optimization problem as a compact MIP model, where the optimal dry ports are selected only from a fixed set of candidate locations given in advance.…”

Section: Review Of Dry Port Location Studiesmentioning

confidence: 99%

A data-driven optimization of large-scale dry port location using the hybrid approach of data mining and complex network theory

Nguyen

Zhang

Zhou

et al. 2020

Transportation Research Part E: Logistics and Transportation Re

View full text Add to dashboard Cite

show abstract

“…The location of an inland terminal is a crucial factor due to its ability to contribute to the effectiveness of the inland transport chain, mainly because that location determines the distances for container movements in the main haulage and pre-/end-haulage legs (Pekin 2010;Tsao and Thanh 2019). As such, selecting the inland terminal location is an essential task for the shipping line when designing the inland transport chain in which the terminal has to contribute to its efficiency and effectiveness (Van Nguyen et al 2020).…”

Section: Introductionmentioning

confidence: 99%

Inland terminal location selection using the multi-stakeholder best-worst method

Liang

Verhoeven

Brunelli

et al. 2021

International Journal of Logistics Research and Applications

View full text Add to dashboard Cite

The aim of this study is to develop an inland terminal location selection methodology. This methodology is viewed from the perspective of the shipping line designing the inland transport chain while also taking the objectives of multiple other stakeholders into account. To that end, we develop a consensus model for a group Best-Worst Method (BWM) in order to aggregate the evaluations of the various stakeholders. The proposed method is applied to a real-life case study involving the Maersk shipping line, in which nine experts representing three different types of stakeholders assess six possible locations. After the evaluation, the market volume potential is identified as one of the most important criteria. Furthermore, a sensitivity analysis indicates that a varying influx of the container volume has no impact on the most desirable location.

show abstract

A multi-objective mixed robust possibilistic flexible programming approach for sustainable seaport-dry port network design under an uncertain environment

Cited by 70 publications

References 48 publications

Dry Port Terminal Location Selection by Applying the Hybrid Grey MCDM Model

Dry Port Terminal Location Selection by Applying the Hybrid Grey MCDM Model

A data-driven optimization of large-scale dry port location using the hybrid approach of data mining and complex network theory

Inland terminal location selection using the multi-stakeholder best-worst method

Contact Info

Product

Resources

About