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A sustainable production-inventory model with imperfect quality under preservation technology and quality improvement investment
Journal of Cleaner Production ( IF 11.1 ) Pub Date : 2021-05-10 , DOI: 10.1016/j.jclepro.2021.127332
Arash Sepehri , Umakanta Mishra , Biswajit Sarkar

Incorporating qualities and environmental concerns have received significant attention in the literature on production and inventory management for deteriorating items; however, scarce papers have emphasized these two concurrently. Therefore, it is required to incorporate these two aspects for deteriorating items to fill this gap in the literature and provide a better insight into practice. This paper elaborates a sustainable production inventory model for poor quality deteriorating items which (a) items deteriorate at a constant rate and the deterioration progress can be controlled by investing in preservation technology; (b) carbon is emitted due to production operations, and it can be controlled by investing in carbon reduction technology; (c) a fraction of manufacture items are imperfect, and the quality can be enhanced by investing in quality improvement. The paper aims to discuss the impact of preservation and carbon reduction technologies on the total profit to help decision-makers make more efficient replenishment and pricing decisions. An algorithm is proposed to determine optimal values for five decision variables. A numerical experiment is illustrated to validate the mathematical formulation, and the impact of parameters on total profit and managerial insights are discussed using sensitivity analysis.



中文翻译:

在保存技术和质量改进投资下质量不完善的可持续生产-库存模型

结合质量和环境因素,在劣化物品的生产和库存管理方面的文献受到了极大的关注;但是,鲜有论文同时强调了这两个方面。因此,需要结合这两个方面来恶化物品,以填补​​文献中的空白并提供对实践的更好理解。本文阐述了劣质劣质物品的可持续生产库存模型,该模型(a)物品以恒定的速度恶化,并且可以通过投资保存技术来控制恶化进度;(b)碳是由于生产作业而排放的,可以通过投资减少碳的技术加以控制;(c)一部分制造品不完善,并且可以通过投资质量改进来提高质量。本文旨在讨论保护和减碳技术对总利润的影响,以帮助决策者做出更有效的补货和定价决策。提出了一种确定五个决策变量最优值的算法。举例说明了一个数值实验,以验证数学公式,并使用敏感性分析讨论了参数对总利润和管理洞察力的影响。

更新日期:2021-05-18
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