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

Tadić, Snežana; Krstić, Mladen; Roso, Violeta; Brnjac, Nikolina

doi:10.3390/su12176983

Cited by 48 publications

(36 citation statements)

References 83 publications

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“…MCDM models are frequently developed to support decision-makers in solving complex multicriteria decision-making problems in different industries and sectors. These decision-making problems include location selection [17][18][19], material selection [20,21], and asset allocation [22]. Among these, many MCDM models have been developed to solve supplier evaluation and selection problems of different supply chains in various industries.…”

Section: Mcdm Methods and Applicationsmentioning

confidence: 99%

Fuzzy Optimization Model for Decision-Making in Supply Chain Management

et al. 2021

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Choosing a supplier is a complex decision-making process that can reduce the total cost of production inputs and increase profits without increasing the price or sacrificing product quality. However, supplier selection processes usually involve multiple quantitative and qualitative criteria which increase the complexity of the problem and may decrease the accuracy and effectiveness of the process. Such complex decision-making problems can be supported by using multicriteria decision-making (MCDM) models. While there have been multiple MCDM models to support supplier selection processes in different industries and sectors, only a few are developed to support the supplier selection processes in the garment industry, especially under uncertain decision-making environment. This paper presents an integrated mathematical model under a fuzzy environment and applies it to the supplier selection process in the garment industry. In this research, the authors utilize the Buckley extension based fuzzy Analytical Hierarchical Process (FAHP) method in combination with linear normalization based fuzzy Grey Relational Analysis (F-GRA) method to develop a MCDM approach to the supplier selection process under a fuzzy environment. As a result, supplier 08 (SA08) is the optimal supplier. The contribution of this work is to propose an MCDM model for ranking potential suppliers in the garment industry under a fuzzy environment. The proposed approach can also be applied to support complex decision-making processes under a fuzzy environment in different industries.

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Section: Mcdm Methods and Applicationsmentioning

confidence: 99%

Fuzzy Optimization Model for Decision-Making in Supply Chain Management

et al. 2021

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“…In this paper, the selection of the most suitable system using Multi-Criteria Decision Making (MCDM) analysis has been made. Based on the literature review, the Analytical Hierarchy Process (AHP) method was found to be the most commonly used method for numerous construction-related decisions, as well as in the case of the determination of the weights of different indicators or criteria for sustainability ratings [4,19,[30][31][32][33][34][35][36][37]. Next to AHP, studies also commonly used the Delphi model, Simple Additive Weighting (SAW), the TOPSIS method or other MCDM techniques, and combinations of them for decision-making or ranking [38][39][40][41][42][43].…”

Section: Methodsmentioning

confidence: 99%

Revision of Sustainable Road Rating Systems: Selection of the Best Suited System for Hungarian Road Construction Using TOPSIS Method

Szpotowicz

Tóth

2020

Sustainability

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There are a number of sustainable and environmentally friendly techniques and methods currently available in the construction industry. To promote sustainable development, different rating and certificating systems that evaluate the level of sustainability during the development of infrastructure construction projects have been developed. The aim of the research presented in this paper was to examine the applicability of sustainability rating systems in Hungary and find the most suitable option. After a review of commonly used rating systems, i.e., Greenroads, GreenLITES, I-LAST, Envision, and INVEST, the most suitable existing rating system is selected with the help of the Technique for Order Preference by Similarity to the Ideal Solution (TOPSIS) mathematical decision analysis method. This was achieved by utilizing 12 categories of input data (weights) analyzed through TOPSIS. The input data (weights) of the TOPSIS method were determined by a small research group of industry experts and academic professionals based on Hungarian practices and methodology. As a result of the calculation, the study found that the Envision rating system satisfies the criteria best, closely followed by Greenroads.

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“…As a solution to port congestion and many other hinterland-transport-related problems, infrastructure development, such as the construction of dry ports, has gained significant interest among practitioners and researchers in the last decade. Tadi´et al [29] developed a new hybrid model of multi-criteria decision-making, and the problem-solving approach based on finding a compromise solution, simultaneous consideration of the environmental, economic, and social sustainability of the dry port concept and its implementation in the regional international markets. Khaslavskaya et al [30] summarized current scientific knowledge on the phenomenon and to identify research outcomes, trends, and future research implications by conducting a systematic literature review.…”

Section: Literature Reviewmentioning

confidence: 99%

System Dynamics Analysis for the Governance Measures Against Container Port Congestion

Liu

et al. 2021

IEEE Access

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Container throughput in Shanghai port has been continually increasing, with severe congestion impacts. The effectiveness and comprehensiveness of governance policies are increasingly important. This study proposes a conceptual framework and simulation of congestion governance measures and their effectiveness on congestion control in a data-driven case study for Shanghai port. The contributions herein serve as a starting point in the identification of four alternative congestion governance options (Increasing the transport infrastructure, Multimodal transport, Smart strategy, and Interconnection), and explore dynamic interactions among them. The design of this study is to firstly develop a container port congestion evaluation model to measure the governance effect; secondly to undertake the triangle analysis in the dynamic system balance: demand of hinterland transport, container port congestion, and container port congestion governance; thirdly to describe four congestion governance options with a detailed description of feedback loops generated by the system dynamics model; finally to propose a policy framework aiming at the advantages and disadvantages of these four options. This study function as stepping stones towards the revealing of the biggest challenge in effective mitigation of port congestion systems by being considered not just a hardware issue (option 1) but more importantly organizational issues (options 2~4). It should be a process of coordination and optimization among 4 options.

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

Cited by 48 publications

References 83 publications

Fuzzy Optimization Model for Decision-Making in Supply Chain Management

Fuzzy Optimization Model for Decision-Making in Supply Chain Management

Revision of Sustainable Road Rating Systems: Selection of the Best Suited System for Hungarian Road Construction Using TOPSIS Method

System Dynamics Analysis for the Governance Measures Against Container Port Congestion

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