Supply Chain Management (SCM): Employing Various Big Data and Metaheuristic Strategies

Nath, Mahendra Prasad; Priyadarshini, Sushree Bibhuprada B.; Mishra, Debahuti

doi:10.1007/978-981-16-8930-7_6

Cited by 2 publications

(2 citation statements)

References 30 publications

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“…The main advantage of such methods is their utilization of the 'trial-and-error' principle in their search process for an optimal solution. In recent years, metaheuristics have been successfully performed to solved complex problems like various SCM problems [28][29][30][31][32].…”

Section: Solution Methodsmentioning

confidence: 99%

“…Constraints (29)(30)(31)(32)(33)(34) are related to the recycling center. Constraint (29) calculates the total collected P obtained by P leach of all utilized fertilizers in all farms to the recycling center at period t. Constraint (30) expresses the total amount of manufacturers' requirements sourced through utilizing recycled P by the recycling center at period t. Constraint (31) denotes that the initial inventory of the recycling center is zero. Constraint (32) limits the inventory of recycled P at the recycling center at the end of every time period.…”

Section: Multi-objective Functionmentioning

confidence: 99%

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Designing a Renewable and Sustainable Phosphorus Fertilizer Supply Chain Network using an Ensemble Knowledge-based Heuristic-Metaheuristic Algorithm

Shokouhifar¹,

Sohrabi²,

Rabbani³

et al. 2022

Preprint

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Phosphorus (P) is the most important substance in inorganic fertilizers used in agriculture industry. In this study, a multi-product and multi-objective model is presented considering economic and environmental concerns to design a renewable and sustainable P-fertilizer supply chain management (PFSCM). To handle complexities of the proposed model, an ensemble knowledge-based three-stage heuristic-metaheuristic algorithm utilizing heuristic information available in the model, whale optimization algorithm, and variable neighborhood search (named H-WOA-VNS) is proposed. At first, a problem-dependent heuristic is designed to generate a set of near-optimal feasible solutions. These solutions are fed into a population-based whale optimization algorithm which benefits from both exploration and exploitation strategies. Finally, a single-solution metaheuristic based on variable neighborhood search is applied to further improve the quality of the solution using local search operators. The objective function of the algorithm is formulated as a weighted average function to minimize total economic cost, while increasing crop yield and P use efficiency. Experimental results over five synthetic datasets and a real case study of the P-fertilizer supply chain confirm the superiority of the proposed method against the state-of-the-art techniques. The results demonstrate that the proposed method performs well in optimizing both the economic cost and environmental issues.

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Section: Solution Methodsmentioning

confidence: 99%

Section: Multi-objective Functionmentioning

confidence: 99%

Designing a Renewable and Sustainable Phosphorus Fertilizer Supply Chain Network using an Ensemble Knowledge-based Heuristic-Metaheuristic Algorithm

Shokouhifar¹,

Sohrabi²,

Rabbani³

et al. 2022

Preprint

View full text Add to dashboard Cite

show abstract

Optimisation problem of China’s supply chain transportation issues in European logistics

Bazaras,

Sokolovskij,

Kuranovič

et al. 2024

EiS

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The paper highlights the importance and validity of the research problem: the major consequence for logistics arising from China’s logistics market due to its effective short-term and long-term strategies and developing transportation wholesale. The presented viewpoint helps to clearly understand the international perspective of the vastly enlarging China’s supply chain market due to its strong links with logistics centres. In recent years, much scientific research and studies have been conducted in China and Europe regarding China’s transport evolution era, from the production stage to the physical distribution stage, involving multiple steps until loads are in customers’ hands. The article considers the optimisation problem of a supply chain with multiple periods and diverse means of transportation. The considered problem can be formulated as a dynamic multi-criteria decision-making problem, in which the criteria are minimising the total cost, minimising the carbon footprint, and minimising the average transporting time.

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Supply Chain Management (SCM): Employing Various Big Data and Metaheuristic Strategies

Cited by 2 publications

References 30 publications

Designing a Renewable and Sustainable Phosphorus Fertilizer Supply Chain Network using an Ensemble Knowledge-based Heuristic-Metaheuristic Algorithm

Designing a Renewable and Sustainable Phosphorus Fertilizer Supply Chain Network using an Ensemble Knowledge-based Heuristic-Metaheuristic Algorithm

Optimisation problem of China’s supply chain transportation issues in European logistics

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