A unified model for the implementation of both CMMI and 6σ

Li, Tzu-Su; Lin, Long-Shuh

doi:10.1080/14783363.2010.532318

Cited by 3 publications

(4 citation statements)

References 12 publications

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“…It has been used in construction (Sarshar et al , 1999) and auto industry (Lin et al , 2009) to assess maturity levels of the software companies. CMMI has been integrated with SCRUM (Sutherland et al , 2008), agile methodologies (Alegria and Bastarrica, 2006), lean manufacturing (Kundu and Manohar, 2012) and 6-sigma (Li and Lin, 2011; Siviy et al , 2007) to fasten the process of development or to optimize the process. CMMI model has five different maturity levels, and the maturity level of an organization is measured by the achievements of specific goals and processes that apply to process areas.…”

Section: Literature Reviewmentioning

confidence: 99%

Development of a supply chain risk mitigation index for distillery

Raghuram

Sandeep

Sreedharan

et al. 2020

TQM

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PurposeA huge number of events can affect the operations of a long and complicated supply chain. This paper deals with the development of a supply chain risk mitigation index (SCRMI) based on a risk mitigation maturity framework. A comprehensive list of supply chain risks has been ascertained and segregated into risks faced at various supply chain echelons through a detailed literature review.Design/methodology/approachThis paper is based on an extensive literature review and questionnaire to identify risks. order of magnitude analytic hierarchy process (OM-AHP) was used as the methodology to assess the prioritization of supply chain risks under two clusters, viz., Probability and severity leading to risk were tested in a distillery.FindingsSCRMI was determined and used to categorize their maturity level in facing supply chain risks. Thus, organization can focus on improvements for their specific needs.Research limitations/implicationsThe model was tested in the distillery industry. It should be tested in other contexts with other methods to provide generalizability.Practical implicationsThis research provides direction to managers for choosing risk mitigation strategies based on the global supply chain environment. SCRMI can be a performance metric for the supply chain managers.Originality/valueThe manufacturer's readiness to take action in the face of disruptions in the supply chain is a critical challenge in today's complex business environment and SCRMI framework is instrumental in such business environment.

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Section: Literature Reviewmentioning

confidence: 99%

Development of a supply chain risk mitigation index for distillery

Raghuram

Sandeep

Sreedharan

et al. 2020

TQM

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show abstract

“…CMMI is a successful tool kit used by software industries to guide process appraisal most effectively, and it is considered one of the influential, long-standing and often-studied standards to schedule performance index (Staple and Niazi, 2008). CMMI has been profoundly generalised over the years, and various investigations have tested the suitability of CMMI in the manufacturing sector, which include the studies conducted by Thomas et al (2021), Raghuram et al (2020), De Carolis et al (2017, Kundu and Manohar (2012) and Li and Lin (2011). Though ample research and development are progressing in assessing the CMMI level of software organisations, none of the studies has extended it to manufacturing industries to assess the digital manufacturing maturity level.…”

Section: Introductionmentioning

confidence: 99%

“…(2020), De Carolis et al. (2017), Kundu and Manohar (2012) and Li and Lin (2011). Though ample research and development are progressing in assessing the CMMI level of software organisations, none of the studies has extended it to manufacturing industries to assess the digital manufacturing maturity level.…”

Section: Introductionmentioning

confidence: 99%

CMMI based fuzzy logic approach to assess the digital manufacturing maturity level of manufacturing industries

Thomas

Saleeshya

2023

TQM

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PurposeThis research study aims to introduce a maturity model based on capability maturity model integration (CMMI) that can assess the digital manufacturing maturity level of manufacturing companies.Design/methodology/approachA CMMI model for the manufacturing industry is designed to assess the digitalisation level of manufacturing industries. The model is developed exclusively for the process area “organisational process focus” (OPF), and the digitalisation level is quantified using fuzzy logic by employing a case study approach.FindingsThe CMMI is successfully employed to assess the digitalisation level of a manufacturing organisation using the fuzzy logic approach. The triangular fuzzy number of the Fuzzy CMMI Measure Index (FCMI) is obtained as (6.08, 7.33, 8.52). The transformation of FCMI into linguistic terms discloses the digitalisation level of the manufacturing organisation as “Capability Maturity Level 4” (CML 4).Originality/valueThe authors tested the suitability of CMMI in the manufacturing sector. The operational concept introduced in this research sets forth a unique framework to quantify the digitalisation level of manufacturing industries.

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“…With the help of CMMI, a manufacturing organization can make evolutionary improvements from immature processes to disciplined and mature processes with better quality and effectiveness. In the study conducted by Li and Lin (2011) in an automobile sunblind manufacturing company, the authors proposed a continuous improvement model that integrates the staged representation of CMMI and six-sigma. Authors claim that by implementing the proposed framework, an automaker can establish a reliable process-based management system, identify critical processes and optimize operations.…”

Section: Introductionmentioning

confidence: 99%

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

Thomas

Saleeshya

Suresh

2021

JM2

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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.

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A unified model for the implementation of both CMMI and 6σ

Cited by 3 publications

References 12 publications

Development of a supply chain risk mitigation index for distillery

Development of a supply chain risk mitigation index for distillery

CMMI based fuzzy logic approach to assess the digital manufacturing maturity level of manufacturing industries

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

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