<p>The accelerated increase in global temperatures and the ongoing decline in natural resources have become issues for the environment and people. Transportation systems contribute to these challenges, where vehicle carbon emissions and excessive fuel consumption accelerate pollution. In this study, we develop a production inventory model that integrates production rate, screening process, re-workable imperfect items, demand influenced by green preferences, selling price, and charging infrastructure. Imperfect items detected during screening are re-workable products and reintegrated into production at a specified rework cost, reducing waste and improving resource utilization. The model considers multiple cost factors, including setup, production, holding, screening, rework, and carbon emission costs, while considering the role of emission regulations. By focusing on a production inventory system with no shortages, backlogs, or lead times, the framework ensures continuity in supply while embedding environmental responsibility into production planning. The results accentuate the balance between profitability and sustainability, as the model enables firms to optimize production schedules under extra operating conditions. Numerical illustration and sensitivity analysis are presented to demonstrate the practicality of the approach, showing its ability to support both Eco-friendly and cost-effective production strategies.</p> Graphical Abstract <p>Transitioning to Sustainable Transportation</p> <p></p>

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Modeling and analysis of a green-sensitive charge infrastructure inventory system with production, reworking, and carbon penalties

  • R. Uthayakumar,
  • S. Rabin

摘要

The accelerated increase in global temperatures and the ongoing decline in natural resources have become issues for the environment and people. Transportation systems contribute to these challenges, where vehicle carbon emissions and excessive fuel consumption accelerate pollution. In this study, we develop a production inventory model that integrates production rate, screening process, re-workable imperfect items, demand influenced by green preferences, selling price, and charging infrastructure. Imperfect items detected during screening are re-workable products and reintegrated into production at a specified rework cost, reducing waste and improving resource utilization. The model considers multiple cost factors, including setup, production, holding, screening, rework, and carbon emission costs, while considering the role of emission regulations. By focusing on a production inventory system with no shortages, backlogs, or lead times, the framework ensures continuity in supply while embedding environmental responsibility into production planning. The results accentuate the balance between profitability and sustainability, as the model enables firms to optimize production schedules under extra operating conditions. Numerical illustration and sensitivity analysis are presented to demonstrate the practicality of the approach, showing its ability to support both Eco-friendly and cost-effective production strategies.

Graphical Abstract

Transitioning to Sustainable Transportation