Supply chain quality management impact on organization performance: results from an international survey

A proposed circular-SCOR model for supply chain performance measurement in manufacturing industry during COVID-19

Purpose

COVID-19 is a global event affecting supply chain operations and human health. With COVID-19, many issues in business models, business processes and supply chains, especially in the manufacturing industry, have had to change. The ability to analyze supply chain performances and ensure circularity in supply chains has become one of the factors whose importance has increased rapidly with COVID-19. Therefore, it aims to determine which supply chain performance criteria come to the fore for the company under consideration to accelerate the transformation into high performance and circularity in supply chains.

Design/methodology/approach

In this study, a new circular-SCOR model is proposed, and 17 supply chain performance measurement criteria are prioritized for a manufacturing company in the context of circular economy principles during COVID-19 by using stepwise weight assessment ratio analysis and analytical hierarchy process method, separately.

Findings

As a result, for both methods, in the case study discussed, the demand fulfillment rate is determined as the most prominent criterion in line with the circular economy principles in the COVID-19 period in manufacturing supply chains.

Originality/value

It is expected that this study will contribute to managers and policy makers as it addresses the “new normal” that started after COVID-19 and the criteria to be considered in supply chain performance measurement and emphasizes the need to adopt circular supply chains, especially in manufacturing industries.

Modeling the Sustainable Integration of Quality and Energy Management in Power Plants

(1) Background: this paper aimed at modeling the sustainable integration of quality and energy management system (IQEM) via identifying critical success factors (CSFs) and analyzing the effect on energy management; (2) Methods: The research adopted theoretical and practical methods, through carefully examining the literature to extract the research gap and CSFs that establish a sustainable model for the integration of quality and energy management, while the practical method was energy experts’ arbitration and to develop a sustainable model in power plants. The study used SmartPLS and SPSS software for analysis purposes, collected data using a 5-point Likert scale and employed a cross-sectional approach survey questionnaire; (3) Results: The research succeeded in identifying the most important CSFs necessary for the sustainable integration of (IQEM). This investigation discovered that the identified CSFs are significantly related to the electricity sector’s energy management integration success (EMIS). The study’s results showed that the identified IQEM’s CSFs, such as EP with p-values (0.000), SQI (0.000), EMT (0.019), A (0.003), SP (0.010), are significantly associated with EMIS and improve quality and energy management; (4) Conclusions: This study succeeded in modeling a framework that ensures integrated and sustainable success between energy management and quality in developing countries power plants.