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• W2155147032 abstract "The supply chain of perishables, often referred to as a ‘Cold Chain’, can be considered to be a series of equipments and processes, used to protect perishables, starting from source until consumption. Cold chain data, which have so far been underutilised, could be used to better measure performance of the cold chain. The purpose of this article is to identify the key performance attributes (KPA) and key decision factors (KDF) to evaluate cold chain performance and then implement continuous improvement. An additional aim of this article is to propose a framework for cold chain performance evaluation and improvement using a novel consistent measurement scale (CMS). The identification of KPA and KDF, and the development of CMS are based on actual scenarios of the cold chain in one of the emerging economies, namely the Indian market. A twin-graph theory (TGT) based methodology has been developed for supporting the cold chain performance and improvement framework. The proposed framework, along with the sensitivity analysis, could facilitate decision makers to quantify the performance index as well as understand the complex relationships among relevant cold chain attributes." @default.
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• W2155147032 date "2012-01-10" @default.
• W2155147032 modified "2023-09-24" @default.
• W2155147032 title "Performance improvement of cold chain in an emerging economy" @default.
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• W2155147032 doi "https://doi.org/10.1080/09537287.2011.642187" @default.
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