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El-Garaihy WH. Effectiveness of performance measurement framework on manufacturers supply chain – case of Saudi Arabia. JOURNAL OF FACILITIES MANAGEMENT 2021. [DOI: 10.1108/jfm-07-2020-0045] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Purpose
This study aims to provide a collaborative supply chain system using a combination of two already existed methods, i.e. levels of decision-making and supply chain operation reference (SCOR).
Design/methodology/approach
A two-phase methodology was conducted based on field analysis and survey analysis. Field analysis included a critical analysis of literature related to supply chain performance measurement and identified related indicators.
Findings
In a survey analysis, a questionnaire was developed to test the established indicators from managers and employees of manufacturing companies. It formulated a novel model for the performance measurement of the supply chain (SC) which included 4 factors (customer, efficiency, flexibility and product), with a total of 31 sub-components.
Originality/value
The structure provides a tied horizontal (SCOR) and vertical (progressive decision) in relation to the features that characterize the SC performance. This system enables the decision-makers to make decisions at the strategic, tactical and operational levels. It reflects the performance measures reliability, authenticity and its application in various SC. It also improves communication with the regional party while ensuring a preventive schedule for maintenance.
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Exploring the consequences of judgmental and quantitative forecasting on firms' competitive performance in supply chains. BENCHMARKING-AN INTERNATIONAL JOURNAL 2020. [DOI: 10.1108/bij-08-2019-0382] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
PurposeThe purpose of this study is to examine the impacts of different forecasting methods (judgmental, quantitative and mixed forecasting) on firms' supply chains and competitive performance.Design/methodology/approachWorking with three groups of manufacturing companies, we explore the consequences of judgmental, quantitative and mixed forecasting methods on firms' competitive performance in supply chains. The validity of constructs and path relationships was examined using structural equation modeling (SEM).FindingsOur findings indicate that supply chain efficiency influences both cost reduction and customer satisfaction. In addition, the three dimensions of supply chain performance are shown to be direct antecedents of competitive performance. Our empirical results reveal that although all studied forecasting methods meaningfully influence supply chain performance, the mixed method, compared to the other two methods, has greater capabilities to enhance supply chain performance.Originality/valueThis research provides originality and insight into supply chain practices through forecasting methods to improve competitive performance.
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