Abstract
This study aims to highlight the usefulness of studying the performance of supply chains (SC) at the sectoral level in greater detail through the combination of a disaggregated supply chain operations reference (SCOR) model, with a multicriteria decision-making approach, specifically using an AHP, to adjust the analysis to the particularities of the sector under study by stakeholders’ judgements. The methodology was applied to the Ecuadorian flower industry, and the data for the analysis was from a survey of a group of companies that represent this sector. In addition, a focus group of SC experts weighted the model constructs as part of the analytic hierarchy process (AHP), and then the performance level for each construct was determined. According to the results methodologies, this model allows the classification of companies by their performance, as well as the performance of the aggregate sector. The processes that Ecuadorian flower companies need to improve on are planning, procurement, and manufacturing. The study’s main contribution is developing a general framework for measuring the overall performance of SCs and how the results are obtained. This tool could help managers, consultants, industries, and governments to assess the performance of SCs, as well as improving SC management in order to increase the sector’s competitiveness in the international market.
Highlights
According to the analysis and the classification proposed by Kusrini [64], the 29 firms showed a good overall performance
This rating was obtained because the score achieved by each of the five processes of the Supply chains (SC) of the companies studied was rated as “good” (G)
It should be noted that, as the scores obtained for the processes were less than one, all procedures need to be reconfigured and improved
Summary
The COVID-19 pandemic has exposed the vulnerability of supply chain risk management [5]
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