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ISO 18404:2015 standard defines the proficiencies to the attainment of distinct competency levels with either Lean Manufacturing or Six Sigma or separately combined strategy Lean Six Sigma (LSS). The purpose of this paper is to perform a detailed investigation of the applicability of current LSS competency standard in SMEs and examine the need for further improvement.

A qualitative-based semi-structured interview method was utilized globally by interviewing a group of LSS professionals with knowledge about the LSS implementation working in different leading organizations. All participants were asked to review the standard before the interview process to ensure that they are familiar with the standard.

The results reveal that the current ISO 18404:2015 standard does not fit SMEs to implement the LSS approach as it has several shortfalls that need to be fixed before its adoption or an urgent need to develop a more customized LSS standard for SMEs. The outcome further helps organizations understand theoretical knowledge about ISO 18404:2015, its role in operational excellence implementation, pros, cons, critical success factors and required changes for further improvement within the standard.

There were very limited baseline studies in the literature. A mixed method strategy that includes qualitative and quantitative data would yield better data so that more robust outcomes can be derived from the research.

To the best of authors' knowledge, this is the first empirical research on the applicability of ISO 18404:2015 for SMEs, which encapsulate opinions of LSS professionals working in several SMEs.

Assessing inputs and outputs is a significant aspect of taking decisions while there are complex and multistage processes in many examinations. Due to the presence of interval performance measures in various real-world studies, the purpose of this study is to address the changes of interval inputs of two-stage processes for the perturbations of interval outputs of two-stage systems, given that the overall efficiency scores are maintained.

Actually, an interval inverse two-stage data envelopment analysis (DEA) model is proposed to plan resources. To illustrate, an interval two-stage network DEA model with external interval inputs and outputs and also its inverse problem are suggested to estimate the upper and lower bounds of the entire efficiency and the stages efficiency along with the variations of interval inputs.

An example from the literature and a real case study of the banking industry are applied to demonstrate the introduced approach. The results show the proposed approach is suitable to estimate the resources of two-stage systems when interval measures are presented.

To the best of the authors’ knowledge, there is no study to estimate the fluctuation of imprecise inputs related to network structures for the changes of imprecise outputs while the interval efficiency of network processes is maintained. Accordingly, this paper considers the resource planning problem when there are imprecise and interval measures in two-stage networks.