Measuring the Supply Chain Performance of the Floricultural Sector Using the SCOR Model and a Multicriteria Decision-Making Method

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.

Set up a supply chain observatory through the comparison of multi-criteria parsimonious methods

“…The prioritization of 36 SC performance improvement indicators in the plastic manufacturing industry is implemented by Govindan et al (2017) by using the fuzzy AHP method to improve the handling of human-based qualitative judgments; the sensitivity analysis examines the priority ranking of the indicators. A mixed SCOR-AHP approach is applied by Mañay et al (2022) to study the performance of SCs at the floricultural sector.…”

Model Penilaian Kinerja Rantai Pasok Produk Soft Drink Berbasis Balance Scorecard dan SCOR Terpadu

“…Kesuksesan pencapaian kinerja rantai pasok merepresentasikan efektivitas strategi rantai pasok yang diterapkan. Ada beberapa permasalahan dalam menilai kinerja rantai pasok soft drink, antara lain kompleksitas rantai pasok karena melibatkan banyak pihak yang berbeda (Ananda et al, 2020;Hasibuan et al, 2021), ketergantungan pada pihak ketiga (Hasibuan et al, 2021;Khadijah et al, 2020), beragamnya tujuan dan indikator kinerja dari perusahaan dalam rantai pasok (Arjuna et al, 2022;Hasan et al, 2016;Mutakin & Hubeis, 2011;Saragih et al, 2021;Sriwana et al, 2021), keterbatasan data dan informasi (Mañay et al, 2022;Vegter et al, 2020), perubahan struktur dan proses dalam rantai pasok dan faktor eksternal seperti kondisi pasar, persaingan, peraturan pemerintah, dan lain-lain (Hasibuan et al, 2021;Khadijah et al, 2020;Nyang'au, 2016;Van Der Valk et al, 2022;Vegter et al, 2020). Faktor-faktor ini dapat mempengaruhi kinerja rantai pasok dan menyulitkan penilaian kinerja yang tepat.…”

“…Namun, seiring dengan berkembangnya teknologi dan teori manajemen, metode pengukuran kinerja rantai pasok menjadi lebih holistik dan mencakup pengukuran kinerja keseluruhan rantai pasok. Ada dua metoda yang paling banyak digunakan, yaitu Balance Scorecard (BSC) (Ananda et al, 2020;Khadijah et al, 2020) dan Supply Chain Operations Reference (SCOR) (Agung Wibowo & Nur Sholeh, 2016;Arjuna et al, 2022;Lemghari et al, 2018;Mañay et al, 2022;Mutakin & Hubeis, 2011;Qurtubi et al, 2022;Saragih et al, 2021;Sarjono et al, 2021;Sriwana et al, 2021;Wahyuniardi et al, 2017).…”

“…Sementara itu, keunggulan pengukuran kinerja rantai pasok dengan Supply Chain Operations Reference (SCOR) antara lain terintegrasi secara global, terfokus pada proses dan mendukung integrasi sistem (Delipinar & Kocaoglu, 2016). Beberapa keterbatasan dalam pengukuran kinerja rantai pasok dengan SCOR, antara lain tidak fleksibel, tidak merinci bagaimana metrik tersebut harus diukur atau dihitung, tidak menangani masalah lingkungan (Mañay et al, 2022).…”

Trends in Ornamental Plant Production

“…To streamline the supply chain in the floriculture industry, researchers from Ecuador and Spain developed the SCOR (Supply Chain Operations Reference) model and a multicriteria decision-making method [12] based on questionnaires filled by companies representing this sector. The model can be used to assess the performance of individual companies as well as the performance of the entire floriculture sector.…”