A data-driven model for sustainable and resilient supplier selection and order allocation problem in a responsive supply chain: A case study of healthcare system

Engineering Applications of Artificial Intelligence, Journal Year: 2023, Volume and Issue: 124, P. 106511 - 106511

Published: June 8, 2023

Language: Английский

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Designing Sustainable Closed-Loop Supply Chain Network Based on a Circular Economy Approach: Under Uncertainty During the Post-COVID Era

Circular Economy and Sustainability, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 3, 2025

Language: Английский

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Antifragile, sustainable and agile healthcare waste chain network design by considering blockchain, resiliency, robustness and risk

Central European Journal of Operations Research, Journal Year: 2023, Volume and Issue: unknown

Published: Aug. 5, 2023

Language: Английский

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A robust optimization model to design an IoT-based sustainable supply chain network with flexibility

Central European Journal of Operations Research, Journal Year: 2023, Volume and Issue: unknown

Published: July 5, 2023

Language: Английский

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Comparison of lot streaming division methodologies for multi-objective hybrid flowshop scheduling problem by considering limited waiting time

Journal of Industrial and Management Optimization, Journal Year: 2024, Volume and Issue: 20(11), P. 3373 - 3414

Published: Jan. 1, 2024

In this paper, a multi-objective hybrid flowshop scheduling problem (HFSP) with limited waiting time and machine capability constraints is addressed. Given its importance, the implementation of lot streaming division methodologies investigated through design experiment (DoE) setting based on real data extracted from leading tire manufacturer in Gebze, Turkey. By doing so, specific characteristics addressed HFSP can be further explored to provide insights into complexity suggest recommendations for improving operational efficiency such systems resembling it. Based specifications constraints, novel generic optimization model objectives including makespan, average flow time, total workload imbalance formulated. Since studied NP-hard strong sense, several algorithms non-dominated sorting genetic algorithm-Ⅱ (NSGA-Ⅱ) are proposed according methodologies, i.e., consistent sublots equal sublots. main aim analyze problem, developed compared each other gain remarkable problem. Four different comparison metrics employed assess solution quality terms intensification diversification aspects. Computational results demonstrate that employing sublot methodology leads significant improvements all methodology.

Language: Английский

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Evaluating carbon cap and trade policy effects on a multi-period bi-objective closed-loop supply chain in retail management under mixed uncertainty: Towards greener horizons

Expert Systems with Applications, Journal Year: 2024, Volume and Issue: 250, P. 123889 - 123889

Published: April 15, 2024

Language: Английский

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Robot obstacle avoidance optimization by A* and DWA fusion algorithm

PLoS ONE, Journal Year: 2024, Volume and Issue: 19(4), P. e0302026 - e0302026

Published: April 29, 2024

The current robot path planning methods only use global or local methods, which is difficult to meet the real-time and integrity requirements, can not avoid dynamic obstacles. Based on this, this study will improved A-star algorithm design a hybrid obstacle avoidance that integrates sliding window solve related problems. Specifically, optimized by evaluation function, sub node selection mode smoothness, fuzzy control introduced optimize algorithm. conducted validation TurtleBot3 mobile robot, with data sourced from experimental certain college. results showed enabled planned effectively navigate around obstacles reach target point accurately. When compared traditional length reduced 9.6%, time decreased 29% an approximate 26.7% increase in average speed of robot. Compared research has greatly avoiding obstacles, efficiency, model adaptability so on, important value for relevant research. It be seen proposed performance advantages, demonstrating effectiveness advantages planning, provide reference optimization. Research complete tasks robots practical environments, development planning.

Language: Английский

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Uncertain remanufacturing reverse logistics network design in industry 5.0: Opportunities and challenges of digitalization

Engineering Applications of Artificial Intelligence, Journal Year: 2024, Volume and Issue: 133, P. 108578 - 108578

Published: May 11, 2024

Remanufacturing, a crucial step of reverse logistics, focuses on restoring or enhancing the functionality waste products. The challenge in planning an effective remanufacturing logistics system lies uncertainties from various sources. In addition, evolving industrial landscape Industry 5.0 necessitates adaptability to technological advancements. This paper proposes integrated and digitalized architecture for uncertain network design. A fuzzy optimization model is first formulated identify potential configurations under varying demand-satisfying capacity constraints. These solutions are automatically converted assessed dynamic simulation environment with practical operational logic set real-world scenarios. Numerical experiments performed validate method show advantages integrating digital platform strategic planning. results, built upon previous research, indicate that while initial investments technology might be substantial, they may lead long-term reductions both costs emissions. Moreover, collaborative decision-making essential mitigate disruptions cascading effects. Our research contributes development novel decision-support underscores role digitalization future smart sustainable

Language: Английский

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Effective MILP and matheuristic for multi-echelon green supply chain operations and financing considering carbon emission reduction investment

Journal of Cleaner Production, Journal Year: 2025, Volume and Issue: unknown, P. 144816 - 144816

Published: Jan. 1, 2025

Language: Английский

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A Robust and Risk-Averse Medical Waste Chain Network Design by considering Viability requirements

RAIRO - Operations Research, Journal Year: 2024, Volume and Issue: 58(2), P. 1473 - 1497

Published: Jan. 11, 2024

This research suggests a Robust and Risk-Averse Medical Waste Chain Network Design by considering Viability requirements (RRMWCNDV). The aim is to locate waste management facility that minimizes promotes the recycling of materials like metal plastic, contributing environmental benefits. proposed RRMWCNDV aims be viable, robust risk-averse. A two-stage stochastic programming model was utilized develop this framework. It incorporates risk employing Weighted Value at Risk (WVaR) approach for first time. study reveals incorporating robustness scenarios results in lower cost function. degree conservatism decision-making can adjusted between 0% 100%, increasing confidence level WVaR indicates aversion, with an increase function 4% increase. agility coefficient, which percentage demand production from HC transferred another facility, also affects population risk. decrease sustainability coefficient 53% rise 12.82% demonstrates NP-hard characteristics becomes exponentially complex larger scales.

Language: Английский

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