Application of fuzzy logic for leanness assessment in SMEs: a case study

2016 ◽  
Vol 14 (1) ◽  
pp. 78-103 ◽  
Author(s):  
R. Vidyadhar ◽  
R. Sudeep Kumar ◽  
S. Vinodh ◽  
Jiju Antony
Keyword(s):  
Fuzzy Logic ◽  
Conceptual Model ◽  
Lean Manufacturing ◽  
Small And Medium Enterprises ◽  
Performance Measure ◽  
Content Type ◽  
Fuzzy Logic Approach ◽  
Manufacturing Organization ◽  
Medium Enterprises

Purpose – 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). Design/methodology/approach – 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. Findings – 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”. Research limitations/implications – The case study has been conducted in a single manufacturing organization. In future, more studies could be conducted to enhance the practical validity. Practical implications – The case study has been conducted in an SME located in Coimbatore, India. Hence, the inferences derived from the study have practical validity. Originality/value – The development of conceptual model for leanness assessment for SMEs is the original contribution of the authors.

Evaluation of agility in supply chains: a case study of an Indian manufacturing organization

2017 ◽  
Vol 28 (2) ◽  
pp. 212-231 ◽  
Author(s):  
Bharat Singh Patel ◽  
Cherian Samuel ◽  
S.K. Sharma
Keyword(s):  
Fuzzy Logic ◽  
Supply Chain ◽  
Human Perception ◽  
North India ◽  
Scoring Method ◽  
Content Type ◽  
Fuzzy Logic Approach ◽  
Logic Approach ◽  
Manufacturing Organization

Purpose The purpose of this paper is to report a case study carried out to assess the agility and identify obstacles to agility in a supply chain. A human perception-based framework is used for the calculation of agility. The case study was carried out in a North India-based manufacturing organization. Design/methodology/approach In this study, the concept of a multi-grade fuzzy logic approach is used. Using this concept, the overall agility index has been determined. The fuzzy logic approach has been used to overcome the disadvantages such as impreciseness and vagueness using a scoring method. Findings From the analysis, it is observed that the organization on which the study was performed is “very agile.” After evaluating the agility level, the fuzzy performance importance index is calculated, which helps to identify the barriers of agility in the supply chain. These barriers help decision makers to implement appropriate improvement measures for improving agility level. Overall, 11 barriers were identified in the study. Research limitations/implications Managers of the contemporary manufacturing organization have to measure the agility level of the organization and identify barriers to agility in order to survive in a competitive environment. The obstacles identified in this study are used to improve the performance of the organization. The enterprise should improve on the weak areas in order to achieve the highest agility level. Originality/value The agile supply chain (ASC) enablers proposed by previous researchers are not sufficient for the evaluation of agility of a supply chain. There are a few more ASC enablers such as customer satisfaction, flexibility and adaptability that also play a vital role in making a supply chain agile. Adding these three ASC enablers, a total of seven ASC enablers along with their attributes are being considered for the development of a conceptual model.

Benchmarking agility assessment approaches: a case study

2015 ◽  
Vol 22 (1) ◽  
pp. 2-17 ◽  
Author(s):  
S. Vinodh ◽  
S Aravindraj
Keyword(s):  
Fuzzy Logic ◽  
Design Methodology ◽  
Content Type ◽  
Agility Assessment ◽  
Fuzzy Logic Approach ◽  
Logic Approach ◽  
Manufacturing Organization ◽  
Case Organization ◽  
Practical Implications

Purpose – The purpose of this paper is to benchmark the assessment approaches of agility in a manufacturing organization. Design/methodology/approach – The criteria for agility assessment were identified comprehensively based on literature review. The agility assessment was done using Multi Grade Fuzzy and Fuzzy logic approaches, and the results were benchmarked. Findings – Based on Multi Grade Fuzzy approach, the agility index was found to be 6.6; Fuzzy logic approach reveals the agility index as (5.37, 6.91, 8.45) which indicated the case organization is agile. The gaps were identified from both the approaches and the results were corroborated. Research limitations/implications – In the present study, Multi Grade Fuzzy and Fuzzy logic approaches were only benchmarked. Also, the benchmarking exercise was done only in one manufacturing organization. Practical implications – The benchmarking study was conducted in a manufacturing organization. The practitioners’ views were gathered and they were involved in the study to substantiate the practical validity. Originality/value – The benchmarking study between two approaches for agility assessment was found to be original and adds value to the agility assessment field.

Assessment of CMMI level of manufacturing industry using fuzzy logic approach: a case study

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Tharun Thomas ◽  
Saleeshya P.G. ◽  
Suresh M.
Keyword(s):  
Fuzzy Logic ◽  
Manufacturing Industry ◽  
Manufacturing Sector ◽  
Triangular Fuzzy Number ◽  
Content Type ◽  
Study Approach ◽  
Capability Maturity ◽  
Fuzzy Logic Approach ◽  
Manufacturing Organization

Purpose The purpose of this study is to develop a CMMI model for the manufacturing industry and to find an appropriate method to assess the CMMI level. The CMMI level indicates how well the processes are planned, performed, measured and controlled, thus revealing the performance level of an organization. Design/methodology/approach Among the various process areas of CMMI, “organizational process focus” (OPF) is selected for the study. The CMMI model for the process area OPF is designed based on the CMMI enablers, criteria and attributes. Based on this multilevel model, a case study approach is adopted and fuzzy logic is used to measure the CMMI level of an organization. The fuzzy performance importance index (FPII) and the ranking score are used to further analyze the attributes. Findings The proposed model has been successfully used to measure the CMMI level of the manufacturing industry in south India. The triangular fuzzy number of the fuzzy CMMI measure index (FCMI) is obtained as (2.077, 3.534, 5.000). The transformation of FCMI back into linguistic terms discloses the current CMMI level of the industry as “Capability Maturity Level 2” (CML 2). Originality/value The authors tested the suitability of an inter-disciplinary approach known as CMMI for the process appraisal in the manufacturing sector. The investigation sets forth a unique framework to quantify the performance of practices followed in a manufacturing organization and thereby help the industry to realize the present strength and weakness in terms of process assets.

The challenges of lean manufacturing implementation in SMEs

2014 ◽  
Vol 21 (6) ◽  
pp. 987-1002 ◽  
Author(s):  
Anna Dorota Rymaszewska
Keyword(s):  
Lean Manufacturing ◽  
Small And Medium Enterprises ◽  
Successful Implementation ◽  
Case Study Method ◽  
Lean Implementation ◽  
Content Type ◽  
Implementation Challenges ◽  
Medium Enterprises ◽  
Manufacturing Environments

Purpose – The purpose of this paper is to identify the lean manufacturing implementation challenges in small and medium enterprises (SMEs). The study is based on experiences of the Finnish furniture and boating sectors. The paper outlines the overall characteristics of the studied organizations and contrasts them with one of the most famous example of lean implementation – the Toyota Company. By comparing the different manufacturing environments as well as organizational characteristics, the potential challenges of lean adoption are outlined. Design/methodology/approach – The findings presented in this paper were achieved through the case study method. The research utilizes the deductive approach. Findings – The results present an assessment of the companies’ current situations. The results uncover their readiness for lean implementation and identify the challenges that might hinder lean implementation. Early identification of weaknesses will make companies more aware of their own capabilities. Moreover, it has potential for making them better prepared for lean implementation and more consistent in their process. Practical implications – The importance of addressing certain aspect of lean implementation in the specific context of SMEs characteristics might contribute to the successful implementation of lean. Originality/value – The author presents an original look at supporting companies in the process of adopting lean manufacturing.

Relevant factors of innovation contests for SMEs

2017 ◽  
Vol 23 (6) ◽  
pp. 1196-1215 ◽  
Author(s):  
Maria Isabel Rodriguez Ferradas ◽  
José A. Alfaro Tanco ◽  
Francesco Sandulli
Keyword(s):  
New Product Development ◽  
Corporate Culture ◽  
Small And Medium Enterprises ◽  
Retrospective Case ◽  
Content Type ◽  
Context Factors ◽  
Medium Enterprises ◽  
Design Factors ◽  
Relevant Factors

Purpose The purpose of this paper is to explore the relevant factors that influence the implementation of innovation contests, an open innovation (OI) practice that has been extensively reported in the literature as a managerial tool for external knowledge search. The authors focus the study on the context of small and medium enterprises (SMEs). Design/methodology/approach The approach is a retrospective case study. This methodology allows an in-depth view into a Spanish SME that successfully undertook two new product development processes thanks to the deployment of innovation contests. Findings The main context factors influencing innovation contests as managerial tool are ambidexterity, technological and marketing turbulence and intermediaries, among others. Regarding design factors, this work highlights the role of attraction and facilitation. Additionally, the repetitive implementation of innovation contests creates a corporate culture that promotes OI activities. Practical implications Managers will understand that they can use innovation contests as a managerial tool, and knowing the factors that need to be taken into account when implementing an innovation contest will help SMEs managers to make better use of this practice. Originality/value This case study enriches the literature of both innovation contests and topics relevant to SMEs. Based on a theoretical framework of the design factors that influence the implementation of innovation contests, the authors propose a research framework that incorporates those context factors in association with an SME.

Implementing strategic responses in the COVID-19 market crisis: a study of small and medium enterprises (SMEs) in India

2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Guydeuk Yeon ◽  
Paul C. Hong ◽  
Elangovan N. ◽  
Divakar G. M.
Keyword(s):  
Emerging Economies ◽  
Management Practices ◽  
Small And Medium Enterprises ◽  
Performance Outcomes ◽  
Future Research ◽  
Strategic Responses ◽  
Content Type ◽  
Study Results ◽  
Medium Enterprises

Purpose The COVID-19 pandemic presents unprecedented challenges for small and medium enterprises (SMEs) in emerging economies. This paper aims to examine how India's SMEs implement their strategic responses in this crisis. Design/methodology/approach The study uses dynamic capability theory to explore the strategic responses of SMEs. Strategy implementation theory helps to explain how they implement innovative practices for outcomes. A research model defines the COVID-19 challenges, strategic responses and performance outcomes. The study reports the findings of an initial pilot study of 75 firms and follow-up case study results in the context of COVID-19. Findings Firms choose their approaches according to their perceived market risks. Case studies illustrate that firms display diverse attitudes depending on their strategic direction, leadership vision and organizational culture. They achieve different outcomes by implementing specific styles of risk management practices (e.g. risk-averting, risk-taking and risk-thriving). Research limitations/implications Although the study context is Indian SMEs, the findings suggest meaningful lessons for other emerging economies in similar crisis events. The propositions may be extended to future research in broad contexts. Practical implications Even in the extraordinary COVID-19 market crisis, SMEs with limited resources display their strategic potential by recognizing their unique capabilities, translating them into effective actions and achieving desirable outcomes. Social implications In the COVID-19 pandemic, top leaders' mental attitude, strategic perspective and routine practices are contagious. Positive leadership motivates both internal and external stakeholders with an enormous level of collaboration. Originality/value This rare study of Indian SMEs provides a theoretical framework for designing a pilot survey and conducting a case study of multiple firms. Based on these findings, testable propositions are articulated for future research in diverse organizational and national contexts.

scholarly journals Supply chain risk assessment approach for process quality risks

2017 ◽  
Vol 34 (7) ◽  
pp. 940-954 ◽  
Author(s):  
Abhijeet Ghadge ◽  
Xie Fang ◽  
Samir Dani ◽  
Jiju Antony
Keyword(s):  
Risk Assessment ◽  
Fuzzy Logic ◽  
Supply Chain ◽  
Failure Modes ◽  
Design Stage ◽  
Security Risks ◽  
Content Type ◽  
Fuzzy Logic Approach ◽  
Logic Approach

Purpose The purpose of this paper is to proactively analyse and mitigate the root causes of the product and security risks. The case study approach examines the effectiveness of the fuzzy logic approach for assessing the product and process-related failure modes within global supply chain context. Design/methodology/approach The case study of a Printed Circuit Board Company in China is used as a platform for conducting the research. Using data triangulation, the data are collected and analyzed through interviews, questionnaires, expert opinions and quantitative modelling for some interesting insights. Findings Fuzzy logic approach for failure mode and effect analysis (FMEA) provides a structured approach for understanding complex behaviour of failure modes and their associated risks for products and processes. Today’s managers should conduct robust risk assessment during the design stage to avoid product safety and security risks such as recalls. Research limitations/implications The research is based on the single case study and multiple cases from different industry sectors may provide some additional insights. Originality/value The study attempts to mitigate the root causes of product and processes using fuzzy approach to FMEA in supply chain network.

scholarly journals What companies can learn from unicorn startups to overcome the COVID-19 crisis

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Cristina Doritta Rodrigues ◽  
Matheus Eurico Soares de Noronha
Keyword(s):  
Business Models ◽  
Negative Impact ◽  
Small And Medium Enterprises ◽  
Content Type ◽  
Digital Platforms ◽  
Analysis Technique ◽  
Multiple Case ◽  
Medium Businesses ◽  
Medium Enterprises

Purpose This paper aims to search measures that unicorn startups have implemented during the pandemic and show what lessons can be learned to help entrepreneurs and small and medium businesses to overcome the crisis. Design/methodology/approach The method is a multiple case study with five unicorn startups. This study collected data through interviews and analyzed them by the content analysis technique. Findings The findings show that the pandemic affects negatively unicorns’ businesses; that a digital business model innovation affects them positively; and that innovations moderate positively the negative impact of the crisis. Research limitations/implications Most interviewees hold operational positions. Practical implications Three actions stand out to overcome the crisis: adoption of new digital platforms; strategies to increase the network of partners; and adaptations in the provision of payment services. Originality/value The cases show that entrepreneurs and small and medium enterprises need to develop capabilities to innovate in their business models, and digitalization is a solution to face the crisis and overcome it in the future.

Lean Six Sigma competitiveness for micro, small and medium enterprises (MSME): an action research in the Indian context

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shreeranga Bhat ◽  
E.V. Gijo ◽  
Anil Melwyn Rego ◽  
Vinayambika S. Bhat
Keyword(s):  
Success Factors ◽  
Small And Medium Enterprises ◽  
Lean Six Sigma ◽  
Lessons Learned ◽  
Content Type ◽  
Novice Users ◽  
The Government ◽  
Medium Enterprises ◽  
Tools And Techniques

PurposeThe aim of the article is to ascertain the challenges, lessons learned and managerial implications in the deployment of Lean Six Sigma (LSS) competitiveness to micro, small and medium Enterprises (MSME) in India and to establish doctrines to strengthen the initiatives of the government.Design/methodology/approachThe research adopts the Action Research methodology to develop a case study, which is carried out in the printing industry in a Tier III city using the LSS DMAIC (Define-Measure-Analyze-Improve-Control) approach. It utilizes LSS tools to deploy the strategy and to unearth the challenges and success factors in improving the printing process of a specific batch of a product.FindingsThe root cause for the critical to quality (CTQ) characteristic, turn-around-time (TAT) is determined and the solutions are deployed through the scientifically proven data-based approach. As a result of this study, the TAT reduced from an average of 1541.2–1303.36 min, which in turn, improved the sigma level from 0.55 to 2.96, a noteworthy triumph for this MSME. The company realizes an annual savings of USD 12,000 per year due to the success of this project. Top Management Leadership, Data-Based Validation, Technical Know-how and Industrial Engineering Knowledge Base are identified as critical success factors (CSFs), while profitability and on-time delivery are the key performance indicators (KPIs) for the MSME. Eventually, the lessons learned and implications indicate that LSS competitiveness can be treated as quality management standards (QMS) and quality tools and techniques (QTT) to ensure competitive advantage, sustainable green practices and growth.Research limitations/implicationsEven though the findings and recommendations of this research are based on a single case study, it is worth noting that the case study is executed in a Tier III city along with novice users of LSS tools and techniques. This indicates the applicability of LSS in MSME and thus, the modality adopted can be further refined to suit the socio-cultural aspects of India.Originality/valueThis article illustrates the deployment of LSS from the perspective of novice users, to assist MSME and policymakers to reinforce competitiveness through LSS. Moreover, the government can initiate a scheme in line with LSS competitiveness to complement the existing schemes based on the findings of the case study.

Benchmarking fuzzy logic and ANFIS approaches for leanness evaluation in an Indian SME

2017 ◽  
Vol 24 (4) ◽  
pp. 973-993 ◽  
Author(s):  
Rohit Agrawal ◽  
P. Asokan ◽  
S. Vinodh
Keyword(s):  
Fuzzy Logic ◽  
Lean Manufacturing ◽  
Fuzzy Inference ◽  
Evaluation Model ◽  
Medium Size ◽  
Inference System ◽  
Content Type ◽  
Fuzzy Logic Approach ◽  
Logic Approach ◽  
Leanness Evaluation

Purpose 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). Design/methodology/approach 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. Findings 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. Research limitations/implications The developed model for leanness evaluation has been test implemented in an SME. In future, the model could be test implemented in several SMEs. Practical implications A case study conducted in an SME involved in heavy engineering fabrication is presented. Therefore, the inferences derived from the study has practical propensity. Originality/value The development of leanness evaluation model for SMEs and deployment in an industrial scenario are the original contributions of the authors.

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