A deterministic mathematical model to support future investment decisions for developing inland container terminals

Wadhwa, Satpal Singh; Farahmand, Kambiz; Vachal, Kimberly

doi:10.1016/j.retrec.2019.100764

Cited by 8 publications

(5 citation statements)

References 9 publications

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“…Although this is not a new issue, it has been widely studied. There are various factors that have resulted in an unpredictable, short-term empty-container shortage, such as weather conditions, strikes at the ports, demand uncertainty, and the lack of suitable container type for export cargo [ 5 – 7 ]. Although many strategies have been developed to resolve the issues, the pandemic from the COVID-19 has been the biggest global crises that has had devastating effects on both the economy and health [ 8 , 9 ].…”

Section: Introductionmentioning

confidence: 99%

Investigation of empty container shortage based on SWARA-ARAS methods in the COVID-19 era

Toygar

Yıldırım

İnegöl

2022

Eur. Transp. Res. Rev.

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A shortage of empty containers has become a global crisis with more devastating effects than during previous periods when combined with various problems arising from the COVID-19, such as an increase in an imbalance of global trade between supply and demand, a decrease in the workforce, and restrictions by countries or regional quarantine practices. The absence of empty containers in regions where they are needed slows down industrial activities and locks the global supply networks, necessitating the use of alternative methods that are inefficient. Although this shortage causes many disruptions in global trade, solutions to the issue have not been studied in detail. Therefore, the aim of this study was to determine the issues caused by the shortage of empty containers and to rank the appropriate solutions. Four main criteria and sixteen subcategories used to define the issues, as well as a multi criteria decision model comprising five criteria for the solutions, were proposed based on information from the literature, sectorial publications, and expert opinions. The issues’ weighted order of importance in our proposed model was calculated using the SWARA (Step-wise Weight Assessment Ratio Analysis) method; solutions were ranked using the ARAS (Additive Ratio Assessment) method. The results of the study revealed that the issues were ranked in importance as cost increases, uncertainty in the supply chain, volume loss, and increases in blank sailing announcements. Appropriate solutions were ranked as booking guarantee applications and information communication technologies, using shipper-owned containers, inducement calls, and E2E (end to end) delivery services.

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Section: Introductionmentioning

confidence: 99%

Investigation of empty container shortage based on SWARA-ARAS methods in the COVID-19 era

Toygar

Yıldırım

İnegöl

2022

Eur. Transp. Res. Rev.

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“…Both papers omit issues of economic efficiency, focusing solely on technical issues. The paper [15] provides a model for the development of inland depots of empty containers with increasing trade volumes and trade imbalances. The results indicate that inland terminals can reduce the number of empty kilometres travelled and the associated costs and improve the efficiency of the logistics system.…”

Section: Determining the Efficiency Of Terminal Operationsmentioning

confidence: 99%

Determining the Probability of Unproductive Manipulations in Inland Intermodal Terminal Operations

Zając

Rožić

Naletina

2023

PROMTT

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The paper concerns the method of determining the probability of unproductive manipulations during operations, maintenance or repairs on an inland intermodal terminal. The method is mathematically based on the semi-Markov process. The developed method enables revision of unproductive manipulation frequency and duration. It provides an opportunity to analyse and change inland terminal operations so as to increase productivity.

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“…The model recommends decisions such as planting timing, crop and cultivar selection and so on. Wadhwa et al (2019) also created a mathematical model for investment decision making in the building of a domestic grain production container station. The research was carried out for the instance of soybean shipping containers in the Minnesota region.…”

Section: Decision Support Modelmentioning

confidence: 99%

Extended Fuzzy Decision Support Model for Cropland Recommendation of Food Cropping in Indonesia

Chen¹,

Wibowo²,

Utama³

2021

Journal of Computer Science

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Food crops are the preferred crops to be cultivated on agricultural land in Indonesia, which has a wide area available for use as agricultural land. Each region's agricultural lands in Indonesia have distinct features (e.g., water capacity, land porosity, land height, etc.). Rice, maize, red beans and green beans are significant food crops that are commonly cultivated in Indonesia. The goal of this research is to develop an extended Fuzzy logic-based Decision Support Model (FDSM). The model is able to propose the best food crops to plant on a certain plot of land or location. These suggestions are based on the worth of the distance between the plants as well as the unique worth of the land or location. These suggestions are based on the worth of the distance between the plants as well as the unique worth of the land or location. The primary methods employed in this study are fuzzy logic and Euclidean distance measuring. The fuzzy logic method is used on purpose to prevent confusing values and to consider parameter values based on human linguistics. The fitness value is then calculated using the Euclidean distance value as a basic value for choice suggestions. In this follow-up study, three parameters from previous research were included, for a total of eleven factors (water availability, temperature, humidity, land height, land slope, rainfall, land porosity, rocks on the surface, flood potential and water acidity level). biological food plants in search of the best value based on eight different types of food crops, the model generates simulation suggestions for 514 administrative areas in 34 districts or cities in Indonesia (rice, maize, peanuts, soybeans, green beans, sweet potatoes, cassava and wheat).

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A deterministic mathematical model to support future investment decisions for developing inland container terminals

Cited by 8 publications

References 9 publications

Investigation of empty container shortage based on SWARA-ARAS methods in the COVID-19 era

Investigation of empty container shortage based on SWARA-ARAS methods in the COVID-19 era

Determining the Probability of Unproductive Manipulations in Inland Intermodal Terminal Operations

Extended Fuzzy Decision Support Model for Cropland Recommendation of Food Cropping in Indonesia

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