Evaluation of key performance indicators for sustainability assessment in automotive component manufacturing organization

2021 ◽  
Author(s):  
Vikas Swarnakar ◽  
A.R. Singh ◽  
Anil Kr Tiwari
Keyword(s):  
Performance Indicators ◽  
Sustainability Assessment ◽  
Key Performance Indicators ◽  
Automotive Component ◽  
Component Manufacturing ◽  
Manufacturing Organization

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.

scholarly journals Automated Sustainability Assessment System for Small and Medium Enterprises Reporting

2020 ◽  
Vol 12 (14) ◽  
pp. 5687 ◽  
Author(s):  
Edward Kassem ◽  
Oldrich Trenz
Keyword(s):  
Performance Indicators ◽  
Global Economy ◽  
Sustainability Assessment ◽  
Small And Medium Enterprises ◽  
Sustainability Reporting ◽  
Key Performance Indicators ◽  
Assessment System ◽  
Second Phase ◽  
Restriction Factors ◽  
Medium Enterprises

Sustainability assessment is a mainstream business activity that demonstrates the link between the organization’s strategy for and commitment to a sustainable global economy, and the prevention of economic crises. Small- and medium-sized businesses/enterprises (SMBs/SMEs) have significant effects on the European economy. However, because of a lot of restriction factors, like business risk, the high expenses of data collection and management, and the lack of resources, sustainability reporting is considered a superfluous and burdensome activity for them. The aim of this research is to propose an automated, comprehensive and simplified system for the sustainability assessment of SMEs. This system is achieved by implementing three main phases. The first phase includes key performance indicators design, which starts with the identification of various key performance indicators for comprehensive sustainability assessment, and ends with proposing an optimal set of KPIs (Key Performance Indicators) that can encompass long-term issues and be applicable to SMEs in the EU. The second phase involves a new comprehensive method of sustainability assessment for all KPIs designed in the first phase. Therefore, a multi-criteria model, which involves four main pillars of sustainability assessment (economic, environmental, social and governance), is proposed. It gives different enterprises the ability to verify and compare their efficiency and sustainability with other companies within the same sector in an almost automated manner. In the final phase, a simple and an automated information system (WEBRIS), which provides a suitable environment for SME sustainability reporting, is developed. Finally, this system is verified in a case study of the Czech breweries sector.

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.

Lean Six Sigma project selection using hybrid approach based on fuzzy DEMATEL–ANP–TOPSIS

2015 ◽  
Vol 6 (4) ◽  
pp. 313-338 ◽  
Author(s):  
S Vinodh ◽  
Vikas Swarnakar
Keyword(s):  
Decision Making ◽  
Six Sigma ◽  
Hybrid Approach ◽  
Project Selection ◽  
Lean Six Sigma ◽  
Automotive Component ◽  
Content Type ◽  
Industrial Sectors ◽  
Component Manufacturing ◽  
Manufacturing Organization

Purpose – The purpose of this paper is to select the optimal Lean Six Sigma (LSS) project using hybrid fuzzy-based Multi-Criteria Decision-Making (MCDM) approach for an automotive component manufacturing organization. Design/methodology/approach – The LSS project selection has been formulated as the MCDM problem. Hybrid MCDM method based on Decision-Making Trial and Evaluation Laboratory Model (DEMATEL), Analytical Network Process (ANP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) has been used to select the optimal LSS project. The methodology enabled the practitioners to systematically prioritize LSS projects. Findings – The finding of this study is that, out of five LSS projects, project P3 is the best LSS project. P3 is the optimal LSS project with reduced failure risk, and efforts are being taken to implement the selected project. Research limitations/implications – The problem formulation and methodology has been tested for a single study. In future, more number of studies could be conducted using the hybrid approach. This method is presently applied for an automotive component manufacturing organization; in future, the approach could be applied in different industrial sectors for improving its effectiveness. Practical implications – The case study has been conducted in a real-time industrial problem. The practitioners expressed the usefulness of the methodology for prioritizing LSS projects Hence, the inferences derived are found to possess practical relevance. Originality/value – The original contribution of the study is the selection of optimal LSS project using hybrid MCDM technique.

Characteristics, Features of Development, Regional and Sectoral Determinants of High-tech Business in Russia

2017 ◽  
pp. 142-154 ◽  
Author(s):  
A. Yusupova ◽  
S. Khalimova
Keyword(s):  
Regression Analysis ◽  
Performance Indicators ◽  
Sustainability Assessment ◽  
Business Development ◽  
High Tech ◽  
Assessment Data ◽  
High Tech Sector ◽  
Fast Growing ◽  
High Level

The paper deals with the research devoted to characteristics of high tech business development in Russia. Companies’ performance indicators have been analyzed with the help of regression analysis and author’s scheme of leadership stability and sustainability assessment. Data provided by Russia’s Fast Growing High-Tech Companies’ National Rating (TechUp) during 2012-2016 were used. The results have revealed that the high tech sector is characterized by high level of uncertainty. Limited number of regions and sectors which form the basis for high tech business have been defined. Relationship between innovation activity’s indicators and export potential is determined.

Optimalisasi Key Performance Indicators (KPI) Melalui Pendekatan Balance Scorecard Upaya Mengimplementasikan Performance Management System (PMS) Pada Perguruan Tinggi

CCIT Journal ◽  
2012 ◽  
Vol 6 (1) ◽  
pp. 17-34
Author(s):  
Untung Rahardja ◽  
Muhamad Yusup Eva ◽  
Rosyifa Rosyifa
Keyword(s):  
Performance Indicators ◽  
Management System ◽  
Educational Institution ◽  
Key Performance Indicators ◽  
Individual Performance ◽  
The State ◽  
Public Institution ◽  
Performance Measurement System ◽  
Educational Institutions ◽  
Successful Implementation

SQL Server Reporting Services is a way to analyze data, create reports using the indicators and gauges. Indicators are minimal gauges that convey the state of a single data value at a glance, and most are used to represent the state of Key Performance Indicators. Manage and harmonize the performance of an institution's educational institutions, especially universities with the performance of individuals or resources, no doubt is one of the essential elements for the success of an entity of the institution. Integrate the performance of an educational institution with individual performance is not an easy process, and therefore required a systematic approach to manage it. Implementation of a strategic management system based Balanced Scorecard can be used as a performance measurement system that will continuously monitor the successful implementation of the strategy of any public educational institution and measure the performance of its resources in a comprehensive and balanced, not the quantity but the emphasis is more concerned with the quality, so the performance of educational institutions at any time can be known clearly. Contribution of Key Performance Indicators to manage and harmonize the performance of any public institution is a solution in providing information to realize the extent of work that has set targets, identify and monitor measures of success, of course, with performance indicators show a clear, specific and measurable.

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