基于定价和补充决策的易腐产品可持续供应链的位置库存模型:一个案例研究
Zahra Mohammadi1, Farnaz Barzinpour1, Ebrahim Teimoury1
1School of Industrial Engineering, Iran University of Science & Technology, Tehran, Iran.
本研究介绍了一种优化易腐食品可持续供应链的模型,考虑定价,新鲜度和环境影响. 它帮助企业在有到期日的产品的定价和补充方面做出更好的决定.
科学领域:
- 运营研究 运营研究
- 供应链管理 供应链管理
- 食品科学 食品科学 食品科学
背景情况:
- 生活方式的变化增加了对现成餐和肉制品的需求,影响了食品工业的战略.
- 易腐烂的食品供应链面临的挑战是产品寿命短,需求依赖于新鲜度.
- 优化库存和定价对于食品行业的利能力和可持续性至关重要.
研究的目的:
- 开发一个可持续的,四层级易腐食品供应链的多目标模型.
- 确定最佳的定价政策和周期长度,以最大限度地提高利和社会目标,同时最大限度地降低成本和环境影响.
- 将产品劣化率,设施位置和交付物流纳入供应链模型.
主要方法:
- 开发了一个多目标混合整数非线性编程模型.
- 该模型结合了取决于价格的需求和产品劣化率.
- 用一种先发制人的模糊目标编程方法来解决一个案例研究,然后进行灵敏度分析.
主要成果:
- 该模型根据到期日确定最佳的产品损坏率.
- 它确定了供应侧设施的最佳位置和它们之间的流量.
- 敏感性分析揭示了易腐货物的最佳销售价格和补货时间.
结论:
- 开发的模型为优化可持续易腐食品供应链提供了一个框架.
- 它有效地平衡了经济,社会和环境目标.
- 该模型的适用性通过现实世界的案例研究来证明,为决策者提供了有价值的见解.
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