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Numerous leanness assessment models were developed for both manufacturing and service sectors. However, little research effort was made to provide an instrument that can be used to measure the leanness level of the product-service system (PSS). This paper aims to propose an index to assess the leanness of PSS in a UK manufacturing company.

The development of the assessment model was carried out through an iterative process. Commencing from existing literature on lean manufacturing assessment and lean service assessment, the initial model for assessing PSS leanness was developed. This initial model was refined via two consecutive phases. The first one includes semi-structured interviews with academic researchers involved in lean projects where their comments were considered. In the second phase, semi-structured interviews with several experts working in different UK manufacturing industries and involved in lean and continuous improvement projects were conducted to reach the final assessment model. After developing the model, the next step was identifying a suitable company for applying the model. The case company was selected because of its commitment to implement lean practices and its ability to participate in this study. After that, data was collected from the case company and the PSS leanness index was calculated using a multi-grade fuzzy approach. Finally, areas for further improvement were identified and the results obtained were validated.

The PSS leanness index computed for the case company indicates that the service offering process provided by the company is generally lean. Areas for further improvement were identified.

This study focussed on a single case company and is based on the experts’ opinions; this may tend to be biased. However, future studies will be performed to multiple-case studies to enhance findings and more empirical research will be conducted to catch more insights into PSS leanness.

This paper provides guidelines to manufacturing companies’ managers for measuring the PSS leanness index and planning for the future. This index gives information regarding the degree of lean adoption in the service offering process and identifying the gap between the current PSS leanness level and the desired state.

The proposed model has been developed by the opinion of academicians and industry experts. The proposed model can provide guidelines and directions for managers for PSS leanness assessment.

The extant literature fails to provide an efficient method to measure leanness of any manufacturing firm. The purpose of this paper is to discuss the concept of leanness and to provide an efficient measurement method for measuring leanness.

Measurement method is based on the judgment and evaluation given by leanness measurement team (LMT) on various leanness parameters such as supplier's issues, investment priorities, Lean practices, and various waste addressed by lean and customers' issues. Further fuzzy set theory is introduced to remove the bias of human judgment and finally defuzzification is done and results are presented in the form of leanness index.

Leanness indices have been developed and presented separately on 100 points scale for all parameters of leanness i.e. LI_Suppliers = 47.98, LI_Investment = 50.66, LI_practices = 58.38, LI_Waste = 60.01, LI_Customers = 47.1.

This leanness measurement method used the views of experts and may contain human judgment error.

It will be helpful to both academician and practitioners as an assessment tool for evaluation of lean status of any industry utilized.

Leanness measurement method based on judgment of experts is used first time for evaluation of leanness.

This paper aims to discuss the concept of leanness and provide an effective assessment tool for measuring leanness of small and medium enterprises (SMEs).

A hybrid interpretive structural modelling–analytical network process (ISM-ANP) approach is used to develop leanness index for SMEs. The parameters for leanness are extracted from the literature survey, and the inter-relationships among them are identified through ISM approach. Further, the ANP tool is used to derive the weights of the parameters, and the leanness index is developed for SMEs.

A leanness assessment model is developed, which considers the interdependencies among leanness parameters. Continuous improvement, Just in Time and active management participation, respectively, get first, second and third ranks for leanness measurement in SMEs.

This study is based on the expert’s opinion, and it may tend to be biased. However, future study will be performed as empirical research to catch more explicit concept and more insights of leanness in context of SME sector.

This paper provides guidelines to the managers of SMEs for measuring the leanness index and planning for future. This leanness index gives information regarding the degree of lean adoption in the organization.

The proposed model has been developed by the expert opinion of academicians and practitioners. The proposed model can provide guidelines and directions for managers for leanness assessment in SME context.

The purpose of this study is to provide an efficient index system for evaluating leanness extent of the organizational supply chain. In today’s competitive global marketplace, the concept of lean manufacturing has gained vital consciousness to all manufacturing sectors, their supply chains and, hence, a logical measurement index system is indeed required in implementing leanness in practice. Such leanness estimation can help the enterprises to assess their existing leanness level and can compare different industries that are adapting this lean concept.

The present work exhibits an efficient fuzzy-based leanness assessment system using trapezoidal fuzzy numbers set.

The methodology described here has been found fruitful while applying for a particular industry, in India, as a case study. Apart from estimating overall lean performance metric, the model presented here can identify ill-performing areas toward lean achievement.

The major contributions of this work have been summarized as follows: development and implementation of an efficient decision-making procedural hierarchy to support leanness extent evaluation; an overall lean performance index evaluation platform has been introduced; concept of generalized trapezoidal fuzzy numbers has been efficiently explored to facilitate this decision-making; and the appraisement index system has been extended with the capability to search ill-performing areas which require future progress.

Lean implementation is a strategic decision. The capacity of organisation to be “Lean” can be identified before lean implementation by assessing leanness of an organisation. This study aims to attempt developing a holistic leanness assessment tool for assessing organisational leanness.

A neuro-fuzzy leanness assessment model for assessing the leanness of a manufacturing system is presented. The model is validated academically and industrially by conducting a case study.

Neuro-fuzzy hybridisation helped assess the leanness accurately. Fuzzy logic helped to perform the leanness assessment more realistically by accounting ambiguity and vagueness in organisational functioning and decision-making processes. Neural network increased the learning capacity of assessment model and increased the accuracy of leanness index.

The industrial case study in the paper shows the results in telecom equipment manufacturing industry. This may not represent entire manufacturing sector. The generic nature of the model developed in this research ensures its wide applicability.

The neuro-fuzzy hybrid model for assessing leanness helps to identify the potential of an organisation to become “Lean”. The organisational leanness index developed by the study helps to monitor the effectiveness and impact of lean implementation programmes.

The leanness assessment models available in literature lack depth and coverage of leanness parameters. The model developed in this research assesses leanness of an organisation by accounting for leanness aspects of inventory management, industrial scheduling, organisational flexibility, ergonomics, product, process, management, workforce, supplier relationship and customer relationship with the help of neuro-fuzzy hybrid modelling.

The purpose of this paper is to present a conceptual model and application of fuzzy logic for leanness assessment in small and medium enterprises (SMEs).

Lean manufacturing enables the manufacturing organizations to achieve streamlined processes. Leanness is the performance measure of lean practices. A conceptual model for leanness assessment in the context of SMEs is developed, and fuzzy logic approach has been used for leanness assessment.

The approach computes Fuzzy Leanness Index (FLI), Euclidean distance and Fuzzy Performance Importance Index for various leanness attributes. FLI is found to be (4.42, 6, 7.64), and the organization is found to be “Very Lean”.

The case study has been conducted in a single manufacturing organization. In future, more studies could be conducted to enhance the practical validity.

The case study has been conducted in an SME located in Coimbatore, India. Hence, the inferences derived from the study have practical validity.

The development of conceptual model for leanness assessment for SMEs is the original contribution of the authors.

The purpose of this paper is to present a study that is focused on application of fuzzy logic and adaptive neuro-fuzzy inference system (ANFIS) approaches for leanness evaluation in an Indian small- and medium-size enterprise (SME).

Lean manufacturing concepts are being adopted by SMEs to sustain in the competitive manufacturing landscape. Performance of lean system needs to be assessed using appropriate methods. A model for measuring lean performance is proposed with five enablers, 30 criteria and 90 attributes. Leanness index is computed using fuzzy logic approach and benchmarked with ANFIS approach.

Leanness index computed using fuzzy logic approach is found to be (4.47, 5.97, 7.55) and that of ANFIS approach is found to be 5.84 to facilitate benchmarking of leanness evaluation. After finding weaker areas, certain improvement initiatives are being deployed.

The developed model for leanness evaluation has been test implemented in an SME. In future, the model could be test implemented in several SMEs.

A case study conducted in an SME involved in heavy engineering fabrication is presented. Therefore, the inferences derived from the study has practical propensity.

The development of leanness evaluation model for SMEs and deployment in an industrial scenario are the original contributions of the authors.

Lean manufacturing is an operational strategy oriented toward achieving the shortest possible cycle time by eliminating waste. It is derived from the Toyota Production System and its key thrust is to increase the value-added work by eliminating waste and reducing incidental work. In today's competitive global marketplace, the concept of lean manufacturing has gained vital consciousness to all manufacturing sectors, their supply chains, and hence a logical measurement index system is indeed required in implementing leanness in practice. Such leanness estimation can help the enterprises to assess their existing leanness level and can compare different industries who are adapting this lean concept. The paper aims to discuss these issues.

The present work exhibits an efficient fuzzy-based leanness assessment system using generalized interval-valued (IV) trapezoidal fuzzy numbers set. The concept of “degree of similarity” between two IV fuzzy numbers has been explored here to identify ill-performing areas towards lean achievement.

The methodology described here has been found fruitful while applying for a particular industry, in India, as a case study. Apart from estimating overall lean performance metric, the model presented here can identify ill-performing areas towards lean achievement.

The major contributions of this work have been summarized as follows: development and implementation of an efficient decision-making procedural hierarchy to support leanness extent evaluation. An overall lean performance index evaluation platform has been introduced. Concept of generalized IV trapezoidal fuzzy numbers has been efficiently explored to facilitate this decision-making. The appraisement index system has been extended with the capability to search ill-performing areas which require future progress.

Assessing the outcome of lean transformation journey has been of interest to both researchers and practitioners. Various qualitative and quantitative assessment methodologies have been proposed in literature to track and measure the degree of leanness attained. The purpose of this paper is to understand the evolution of this leanness assessment literature over different attributes and identify gaps for future research.

A detailed literature review of peer-reviewed journal articles and conference papers addressing leanness assessment was performed. Content analysis methodology involving a four-step process suggested by Mayring (2004) was adopted for this study.

The number of studies in literature on leanness assessment is low when compared to that in the area of lean implementation. Assessment methodologies developed are of wide range, varying from simple qualitative checklist to complex quantitative mathematical models. Following the trend of lean implementation literature, lean thinking assessment literature is also getting transformed from process-level monitoring to enterprise-level monitoring. Finally, based on this review, a simplified leanness assessment framework is proposed for future validation.

Only peer-reviewed journals and conference papers were analyzed, while excluding the manuals, reports, and white papers from practice. Clustering of leanness assessment literature revealed that future studies in this domain would fall into two major categories, namely manufacturing leanness assessment and service leanness assessment.

Practitioners can use this review study to choose a suitable methodology for assessing the leanness attained in their organization by controlling for the structural attributes identified.

This is the first paper to review the topic “leanness assessment.” The review analyzes the entire literature available on leanness assessment to summarize its current status and identify potential future directions.

The purpose of this paper is to describe a leanness assessment methodology that takes into account the interaction between lean elements for computing the systemic leanness and for assisting continuous improvement of lean implementation.

Key elements determining the leanness level were identified by reviewing the relevant literature and were structured as a framework. Graph-theoretic approach (GTA) was used as the assessment methodology for its ability to evaluate the interaction between the elements in the developed framework.

Interactions between the lean elements were configured. Application of the proposed GTA for assessing systemic leanness was demonstrated. Scenario analysis was performed and a scale was developed to assist firms in comparing their systemic leanness index.

This paper is unique in developing an assessment approach for measuring the systemic leanness. In addition, this study explains how the implementation of lean thinking (LT) in a value stream can be continuously improved by proposing a systemic leanness index that can be benchmarked. The proposed approach to measure systemic leanness can be tested across different value streams in future for extending its generalizability.

Proposed framework and leanness assessment approach presents an innovative tool for practitioners to capture the systemic aspect of LT. Proposed assessment approach supports practitioners in achieving continuous improvement in lean implementation by revealing the lean elements that need to be focused in future.

Study introduces a new perspective for LT by studying the importance of interactions between the lean elements and by incorporating them to assess the systemic leanness.