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<p>The expenditure incurred on the transportation of minerals is one of the most significant factors for the increase in the overall mineral cost. Mineral transportation modelling is challenging due to constraints of data collection, high technical acumen, and heavy financial investments; therefore, the study on finding out the best-suited mineral transport becomes essential and relevant. The predominant alternatives considered in this study for transporting minerals are the Belt Conveyor System (BCS), Merry-Go-Round (MGR), Pipeline, Railways, and Trucks, which are being utilised in India and other developing countries. Integrated Fuzzy Analytical Hierarchy Process (AHP), R Method, and other conventional Multiple Criteria Decision-Making Methods (MCDM) like WSM (Weighted Sum Method), and WPM (Weighted Product Method) have been applied in this work, duly incorporating sensitivity analysis to find out the final ranking of attributes for deciding the best-suited mineral transportation mode for the plants located at near and far distances. Incorporation of varying distances and having a consolidated input of multiple MCDM methods to embrace the boons and banes of multiple methods is a new approach in the freight mode choice field which has been effectively applied in this study. Five transport alternatives and seven deciding criteria have been considered in this study. It is found that freight transportation depends on market fluctuation and is dynamic and so is the behaviour. BCS and MGR types of mineral transportation were found to be the best-suited modes, followed by railway, truck and pipeline when end-use plants are located within 50&#xa0;km from the pit head mines. However, when a plant is located at a far distance from the pithead mine, railways, trucks and pipelines were ranked on top. Ranking of criteria for suitable transportation mode is also an important factor, and it is found that delivery point distance (rank 1), per unit running cost (rank 2) and initial investment cost (rank 3) are the prime concerns for the plant operators when the distance is within 50 Kms. The preference changes with an increase in distance, and accordingly, the flexibility of transport mode (rank 1), per unit cost (rank 2) and availability of ore reserve (rank 3) are considered more important than the other criteria.</p>

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Simplified alternative approach to freight mode choices for mineral commodities using integrated MCDM techniques

  • 期刊论文

  • 发表日期：

    2026年4月22日

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  • Col Sudeep Kumar Mishra,
  • Sunny Deol Guzzarlapudi

摘要

The expenditure incurred on the transportation of minerals is one of the most significant factors for the increase in the overall mineral cost. Mineral transportation modelling is challenging due to constraints of data collection, high technical acumen, and heavy financial investments; therefore, the study on finding out the best-suited mineral transport becomes essential and relevant. The predominant alternatives considered in this study for transporting minerals are the Belt Conveyor System (BCS), Merry-Go-Round (MGR), Pipeline, Railways, and Trucks, which are being utilised in India and other developing countries. Integrated Fuzzy Analytical Hierarchy Process (AHP), R Method, and other conventional Multiple Criteria Decision-Making Methods (MCDM) like WSM (Weighted Sum Method), and WPM (Weighted Product Method) have been applied in this work, duly incorporating sensitivity analysis to find out the final ranking of attributes for deciding the best-suited mineral transportation mode for the plants located at near and far distances. Incorporation of varying distances and having a consolidated input of multiple MCDM methods to embrace the boons and banes of multiple methods is a new approach in the freight mode choice field which has been effectively applied in this study. Five transport alternatives and seven deciding criteria have been considered in this study. It is found that freight transportation depends on market fluctuation and is dynamic and so is the behaviour. BCS and MGR types of mineral transportation were found to be the best-suited modes, followed by railway, truck and pipeline when end-use plants are located within 50 km from the pit head mines. However, when a plant is located at a far distance from the pithead mine, railways, trucks and pipelines were ranked on top. Ranking of criteria for suitable transportation mode is also an important factor, and it is found that delivery point distance (rank 1), per unit running cost (rank 2) and initial investment cost (rank 3) are the prime concerns for the plant operators when the distance is within 50 Kms. The preference changes with an increase in distance, and accordingly, the flexibility of transport mode (rank 1), per unit cost (rank 2) and availability of ore reserve (rank 3) are considered more important than the other criteria.