NDLI: Applying Performance Measures to Support Decision-making in Supply Chain Operations : a Case of Beverage Industry

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Applying Performance Measures to Support Decision-making in Supply Chain Operations : a Case of Beverage Industry

Content Provider	Semantic Scholar
Copyright Year	2015
Abstract	Performance Measurement Systems (PMS) have commonly been applied to evaluate and reward performances at managerial levels, especially in the context of supply chain management. However, evidence suggests that the effective use of PMS can also positively influence the behaviour and improve performance at an operational level. The motivation is to accomplish organisational goals, namely to increase supply chain flexibility by responding to evermore-varying customer demands in a timely manner. The purpose of the study described in this paper is to develop a conceptual framework that adopts performance measures for ex-ante decision-making at an operational level within the supply chain. To guide the research, five questions were asked and subsequently key gaps have been identified. In an attempt to fill the gaps, a case study at a major global brand beverage company has been carried out, and as a result, a conceptual framework of the performance measurement system has been developed. Overall, the research offers a foundation of the applicability and impact of PMS in the supply chain and provides a framework that attends to some of the potential uses of PMS that so far have not been practically applied. The outcomes from the testing indicate that the initial gaps identified in the literature have been addressed and that the framework is judicious with scope for practical applicability. The framework is deemed worthy of further testing in different operational contexts of the supply chain.
File Format	PDF HTM / HTML
Alternate Webpage(s)	https://dspace.lib.cranfield.ac.uk/bitstream/handle/1826/10303/Applying_performance_measures-2015.pdf;jsessionid=0F032BCDEDC81EDA0E313269EE36A2D5?sequence=3
Language	English
Access Restriction	Open
Subject Keyword	Beverages CNS disorder Decision Making Performance System of measurement
Content Type	Text
Resource Type	Article

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