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Although customer satisfaction (CS) has been evaluated through using statistical and decision-making techniques so far, no research, to the best of the authors’ knowledge, has been conducted for implementing both groups simultaneously and clarifying the different or similar aspects of the results given by these techniques. The purpose of this paper is to compare the techniques and clarify these unknown aspects.

First, the effect of the elements related to service marketing mix on CS was examined by using structural equation model (SEM). Then, the statistical methods such as Friedman test (FT) and SEM, and decision-making technique such as Analytical Hierarchy Process (AHP) were systematically compared for prioritizing the elements of service marketing mix. The sample included 159 special customers of an anonymous bank in Bojnurd, Iran. The reliability of the questionnaire was confirmed by using Cronbach’s α (r=0.934). In addition, SPSS, Expert Choice and Smart PLS software were used.

Based on the results, FT and AHP method had exactly the same ranking for the elements of the marketing mix, as well as almost identical relative weights. The ranking included people, process, product, physical evidence, place, price and promotion, respectively, while the SEM technique had very different outcomes. Finally, none of the methods could assure the marketer to come to a reliable decision separately.

In this study, the authors’ contribution is the understanding of the role of an effective marketing mix evaluation technique selection on marketing strategy. Different techniques had different and in some cases even contradicting outcomes.

The impacts of the novel coronavirus (COVID-19) outbreak continue to devastate supply chain operations. To attain a competitive advantage in the post-COVID-19 era, decision-makers should explore key supply chain strategies to move forward and ready their policies to be implemented when the crisis sufficiently subsides. This is a significant and practical decision-making issue for any supply chain; hence, the purpose of this study is to explore and analyse key supply chain strategies to ensure robustness and resilience in the post-COVID-19 era.

This study conducted an expert survey targeting practitioners and academics to explore key supply chain strategies as means of moving forward in the post-COVID-19 era. Further, the key strategies were quantitatively analysed by applying the best-worst method (BWM) to determine their priority importance in the context of the manufacturing sector.

The results revealed that supply chain resilience and sustainability practices could play a dominant role in this period. The findings of the study can assist supply chain decision-makers in their formulations of key strategies.

This is the first study to investigate key supply chain strategies for the post-COVID-19 era. This study will help practitioners paying attention to resilience and sustainability practices for managing the impacts of future large-scale disruptions.

This article aims to collect data on the aluminum alloy 7050-T7451 machinability used in the manufacturing of aeronautical structures, using the combination of the jatropha vegetable-base soluble cutting oil in relation to the canola vegetal and semisynthetic mineral oils and the technique to apply cutting fluid by flood in relation to the Minimum Quantity Lubrication (MQL) in the milling process (HSM – high-speed machining).

It was observed that the jatropha vegetal cutting oil presented the best results in relation to requirements for lubrication, superficial mean roughness (index Ra) and shape errors in relation to the other oils in both the techniques to apply fluid which were tested. Comparing the application techniques, the jatropha vegetal oil offered an increase in the life span of the cutting tool, using the flood technique, exceeding in almost six times the machined length of the cutting tool in relation to the MQL technique in the same process conditions.

The Jatropha vegetable-base cutting oil, besides being produced from a renewable source, has inherent characteristics that can help attain a sustainable manufacturing, mainly with the use of the flood technique to apply cutting fluid in the aluminum alloy 7050-T7451 machining.

The Jatropha (vegetable) oil, in relation to its physicochemical properties, appeared to be the best one fit for being used in the machining of aluminum alloys 7050-T7451 because it did not interfere with any of the elements involved in the formation of intergranular corrosion and/or pitting, which are not allowed in the aeronautical production of parts. Jatropha (vegetable) cutting oil, besides being produced from a clean and renewable source, has the inherent characteristics that can help attain a sustainable manufacturing.