Application of fuzzy logic for social sustainability performance evaluation: a case study of an Indian automotive component manufacturing organization

2015 ◽  
Vol 108 ◽  
pp. 1184-1192 ◽  
Author(s):  
Sonu Rajak ◽  
S. Vinodh
Keyword(s):  
Fuzzy Logic ◽  
Performance Evaluation ◽  
Social Sustainability ◽  
Automotive Component ◽  
Sustainability Performance ◽  
Component Manufacturing ◽  
Manufacturing Organization

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.

Deploying Lean Six Sigma framework in an automotive component manufacturing organization

2016 ◽  
Vol 7 (3) ◽  
pp. 267-293 ◽  
Author(s):  
Vikas Swarnakar ◽  
S. Vinodh
Keyword(s):  
Six Sigma ◽  
Assembly Line ◽  
Lean Six Sigma ◽  
Bottom Line ◽  
Defect Reduction ◽  
Automotive Component ◽  
Content Type ◽  
Component Manufacturing ◽  
Manufacturing Organization ◽  
Tools And Techniques

Purpose This paper aims to deploy Lean Six Sigma (LSS) framework to facilitate defect reduction and enhance bottom line results of an automotive component manufacturing organization. Design/methodology/approach LSS is a business process improvement strategy widely used in the manufacturing field for enhancing manufacturing organization performance. The integration of Lean and Six Sigma will enable the attainment of defects reduction by eliminating non-value-adding activities from production line. LSS framework has been developed with the integration of define–measure–analysis–improve–control (DMAIC) tools and techniques. Findings The finding of this study is that the LSS framework has been successfully implemented in automotive component manufacturing organization, and non-value-adding activities and defects from assembly line have been reduced. The proposed LSS framework applies lean tools within Six Sigma DMAIC approach to facilitate waste elimination and defect reduction. The developed framework with linkage of DMAIC tools and techniques reduces defects and non-value-adding activities with enhanced bottom line results. The implementation of proposed LSS framework shows effective improvement in key metrics. Research limitations/implications The developed framework has been test implemented in an automotive component manufacturing organization. In future, more number of studies could be conducted. Further, advanced lean tools and techniques could be included in the framework for increasing the effectiveness of production line. Practical implications The proposed LSS framework with linkage of DMAIC tools and techniques has been successfully implemented in an assembly line of automotive component manufacturing organization. This method is presently applied for an automotive component manufacturing organization; in future, the approach could be applied in different industrial sectors with addition of new tools and techniques for improving its effectiveness. Originality/value LSS framework has been designed and test implemented in an assembly line of an automotive component manufacturing organization. Hence, the inferences are practical and key results of the study.

Study on Supply Chain Issues in an Auto Component Manufacturing Organization: Case Study

2016 ◽  
Vol 17 (5) ◽  
pp. 1196-1210 ◽  
Author(s):  
Rajesh K. Singh ◽  
Hari Om Sharma ◽  
Suresh K. Garg
Keyword(s):  
Supply Chain ◽  
Component Manufacturing ◽  
Manufacturing Organization ◽  
Auto Component

scholarly journals Evaluation of Lean Production System by using SAE J4000 standard: Case study in Brazilian and Spanish automotive component manufacturing organizations

2012 ◽  
Vol 6 (49) ◽  
pp. 11839-11850 ◽  
Author(s):  
Arauacute jo Calarge Felipe ◽  
Henrique Pereira Fabio ◽  
Guilherme Satolo Eduardo ◽  
Eugenio Carretero Diaz Luis
Keyword(s):  
Production System ◽  
Lean Production ◽  
Standard Case ◽  
Automotive Component ◽  
Manufacturing Organizations ◽  
Component Manufacturing

Prioritization and ranking of lean practices: a case study

2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Narpat Ram Sangwa ◽  
Kuldip Singh Sangwan
Keyword(s):  
Value Chain ◽  
Hierarchical Models ◽  
Structural Model ◽  
Structural Models ◽  
Automotive Component ◽  
Content Type ◽  
Lean Practices ◽  
Performance Dimensions ◽  
Component Manufacturing ◽  
Manufacturing Organization

PurposeThe paper aims to identify, prioritize and rank lean practices in the context of an Indian automotive component manufacturing organization using interpretive ranking process (IRP) and interpretive structural modeling (ISM) approaches.Design/methodology/approachLean practices are identified from the literature. Then, two hierarchical models were are developed using two distinct modeling approaches – ISM and IRP with expert opinions from an Indian automotive component manufacturing organization to analyze the contextual relationships among the various lean practices and to prioritize and rank them with respect to performance dimensions.FindingsIn the study, the hierarchical structural models are developed using ISM and IRP approaches for an Indian automotive component manufacturing organization. In ISM-based modeling, lean practices can be categorized into five levels. Top priority should be given to the motivators followed by value chain, system/technology and organization centric practices. IRP model shows the dominance relationship among the various lean practices with respect to performance dimensions.Practical implicationsThe models are constructed from the organizational standpoint to evaluate their impact to the implementation of lean manufacturing. The study leverages the organizations to prioritize limited resources as per the hierarchy. Managers get the inter-linkages and ranking of various lean practices, which leads to a better perspective for the effective implementation of lean. The structural models also assist management to assign proper roles to employees/departments for effective lean implementation.Originality/valueThere is hardly any structural model of lean practices in the literature for clustering, prioritizing and ranking of lean practices. The study fills this gap and develops the hierarchical models of lean practices through IRP and ISM approaches for an Indian automotive component manufacturing organization. The results from both approaches are compared for illustrating the benefits of one over the other.

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