Measuring the Supply Chain Performance of the Floricultural Sector Using the SCOR Model and a Multicriteria Decision-Making Method
Horticulturae
; 8(2):168, 2022.
Article
in English
| ProQuest Central | ID: covidwho-1715273
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.
Gardening And Horticulture; supply chain performance; floricultural sector; SCOR; AHP; Competitiveness; Decision analysis; Analytic hierarchy process; Collaboration; Multiple criterion; Pandemics; Supply chain management; Internet of Things; Integrated approach; Inventory control; Decision making; Performance evaluation; Coronaviruses; Performance management; Suppliers; Supply chains; Efficiency; Business metrics; COVID-19
Full text:
Available
Collection:
Databases of international organizations
Database:
ProQuest Central
Type of study:
Prognostic study
Language:
English
Journal:
Horticulturae
Year:
2022
Document Type:
Article
Similar
MEDLINE
...
LILACS
LIS