Improving the Efficacy of the Lean Index through the Quantification of Qualitative Lean Metrics

Oleghe, Omogbai; Salonitis, Konstantinos

doi:10.1016/j.procir.2015.08.079

Cited by 20 publications

(20 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…So while the framework would have identified which lean practices to improve and possibly how to improve them, little is known about how the proposed improvements will behave in reality. Operational and cultural changes in that case can be assessed using a number of different simulation tools [15]- [18]. The proposed framework thus needs to be coupled with such in order for a company to get the most out of it.…”

Section: Discussionmentioning

confidence: 99%

Operational Excellence Assessment Framework for Manufacturing Companies

Rusev

Salonitis

2016

Procedia CIRP

Self Cite

View full text Add to dashboard Cite

Operational Excellence (OE) is a consequence of an enterprise-wide practises based on correct principles that can be classified under four dimensions; Culture, Continuous Process Improvement, Enterprise Alignment and Results. To achieve OE, organisations have to attain a high maturity level and measurable success in the four dimensions as assessed externally by accredited institutions or consultants. External assessment is costly and can be inaccurate due to the lack of in depth knowledge of the organisation by external assessors, on the contrary, self-assessment of an organisations OE is cost effective and accurate if performed with a complete tool which assesses all four dimensions of OE. A complete OE self-assessment tool is currently unavailable, thus this study focuses on the development of a complete OE self-assessment tool. Using a matrix to critically evaluate and compare existing self-assessment tools in areas such as dimensions assessed, scoring criteria and usability, a complete selfassessment tool is then developed based on the combination of existing assessment tools. The tool is validated through the application, by managers, within a manufacturing company that already implements aspects of lean in order to self-assess its OE. The results of the assessment form the basis on which a roadmap to achieving OE is then developed.

show abstract

Section: Discussionmentioning

confidence: 99%

Operational Excellence Assessment Framework for Manufacturing Companies

Rusev

Salonitis

2016

Procedia CIRP

Self Cite

View full text Add to dashboard Cite

show abstract

“…In other words, the fuzzy logic allows manipulating both measurable and objective results, and user perceptions [5]. In this sense, an assessment of evaluation methods, including Analytically Hierarchy Process (AHP) and Work In Progress (WIP), were conducted [7]. This study demonstrates that the fuzzy logic method offers several possibilities for analysis by quantitative and qualitative measures.…”

Section: Fuzzy Logic Applicationsmentioning

confidence: 94%

“…The triangular function is defined by lower limit a, an upper limit c, and input value x, where a  x  c. The x-axis represents the universe of discourse of the x criterion, while the y-axis represents the degree of belonging in the interval [a, c]. The reason for this choice is the fact that the triangular and trapezoidal fuzzy sets are the most common types of fuzzy set operations, due to their simplicity and sufficiency in most analyses [7]. Two ranges of value in this triangular representation could be identified from Figure 1…”

Section: Preliminarymentioning

confidence: 99%

Towards the Control and Prevention of Waste in IT Service Operation Using Fuzzy Logic: Focus in Incident Management Process

Berrahal

Marghoubi

Akkaoui

2020

CIT. J. comput. inf. technol

View full text Add to dashboard Cite

All production lines are continuously confronted with the phenomenon of waste, especially in IT operations. A waste is assessed in terms of the required resources and the cost employed to solve the problem behind it. Eliminating the waste in daily operations is essential to improve IT service management. This article aims to provide an estimation of the level of potential waste, where waste generation trends are provoked by the activities of IT service management processes. We are going to focus particularly on the possibility of applying a Lean improvement process to IT services processes when using fuzzy logic method. We specifically demonstrate our contribution through the application of fuzzy analysis to the incident management process. This approach also aims at developing a theoretical and pragmatic model and promoting the knowledge of IT experts. In order to make our framework as generic as possible, concepts of IT operations, including the incident management, are inspired by the Information Technology Infrastructure Library (ITIL), the most prominent framework for IT service governance according to the current literature.

show abstract

“…Lean metrics are the measurement items for tracking the performance of lean practices (Oleghe and Salonitis, 2015). Examples in the literature include machine breakdown frequency for Total Productive Maintenance practices (Oleghe and Salonitis, 2016); time to adjust production for…”

Section: Assessing the Impact Of Lean Manufacturingmentioning

confidence: 99%

Analysis of lean manufacturing strategy using system dynamics modelling of a business model

Segura

Oleghe

Salonitis

2019

IJLSS

Self Cite

View full text Add to dashboard Cite

Purpose -A system dynamics-based methodology is described for analysing the impact of lean manufacturing strategies on a company's business performance, using Business Model Canvas perspective. Design/methodology/approach -A case study approach is used to describe the methodology which consists of conceptualizing a system dynamics model on the basis of Business Model Canvas. The base system dynamics model is elaborated to include variables and concepts that consider the effects of lean manufacturing metrics on business performance. In the modelling experimentation, the lean manufacturing metrics are made to take on likely values one would expect if certain lean practices are initiated or improved. The experimental results provide one with the likely impact on business performance, if one were to improve lean manufacturing practices. Findings -The simulation results for the case study show that lean improvements, on the short-run, have a significant impact on business performance, but on the long-run, the impact is only marginal.Research implications/limitations -The described methodology provides one with a structured format for investigating the impact of lean practices on business performance. Although the developed system dynamics model was built with generality in mind, it remains to be reproduced in other settings to test its replicability Practical implications -The methodology enables an organization target which lean improvements to initiate based on their strategic impact on the business. Originality/value -Limited studies exist where system dynamics and business models are combined to test the strategic impact of lean manufacturing.

show abstract

Improving the Efficacy of the Lean Index through the Quantification of Qualitative Lean Metrics

Cited by 20 publications

References 15 publications

Operational Excellence Assessment Framework for Manufacturing Companies

Operational Excellence Assessment Framework for Manufacturing Companies

Towards the Control and Prevention of Waste in IT Service Operation Using Fuzzy Logic: Focus in Incident Management Process

Analysis of lean manufacturing strategy using system dynamics modelling of a business model

Contact Info

Product

Resources

About