ps代写-QSR餐厅的案例分析

本文主要讲述的是QSR餐厅的案例分析,通过对全球快速服务餐厅QSR的案例分析,可以看出供应链长度和效益受到了限制。QSR是一家致力于优化餐厅服务和降低运费的餐厅。这家餐厅面临的挑战是维持一个相当复杂的供应商、分销商以及销售他们产品的其他方面的网络,因此不得不处理环境成本、燃料和运营成本。他们发现有必要控制这些费用,同时,他们也有必要保持其服务质量。为了讨论优化供应链和提高可持续性的选项,认为有必要进行以下研究和行业报告讨论。本篇ps代写文章由美国论文通AssignmentPass辅导网整理,供大家参考阅读。

The constrained supply chain length and benefits can be understood from the case study of QSR, which is a global quick service restaurant. QSR is a restaurant that is seen to optimize restaurant services and works on reducing freight costs as well. This is a restaurant that faced the challenge of maintaining a rather complex internetwork of suppliers, distributors and more with respect to selling their product and as a consequence had to deal with environment costs, fuel and operations costs. They found the need to control these costs, and at the same time, they had the need to maintain the quality of their services as well. In order to discuss options for optimizing supply chain and improving sustainability, the following research and industry report discussions are deemed necessary.
Much of the research works on optimization of supply chains are focused on local sourcing and how local sourcing and distribution networks helped control costs and quality of the food product that was being sold (Christopher, 2016; 2000).
In the case of the company QSR, they made use of the service of HAVI, a logistics solutions company that helps ensure that supply chains were more quality enlisted and optimized for their clients (HAVI, 2017). From the basic sourcing and supply chain analytics to the end merchandise planning, HAVI ensured there was a more holistic and feed forward form of supply chain. Suppliers were sourced locally leading to more shelf life for the product as the product did not have to move across larger delivery lengths. Shipping costs and per unit cost of product as understood at the customer end were also reduced. Furthermore, it was possible to work with clusters of suppliers that optimized and controlled emissions. Where delivery times, manpower used and emissions were out of control, in the context of using an optimized system like HAVI, it became possible to make the supply chain more sustainable (HAVI, 2017).

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