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

Published on Jan 1, 2015in Procedia CIRP
· DOI :10.1016/j.procir.2015.08.079
Omogbai Oleghe2
Estimated H-index: 2
(Cranfield University),
Konstantinos Salonitis22
Estimated H-index: 22
(Cranfield University)
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Abstract
Abstract Multiple lean metrics representing performance for various aspects of lean can be consolidated into one holistic measure for lean, called the lean index, of which there are two types. In this article it was established that the qualitative based lean index are subjective while the quantitative types lack scope. Subsequently, an appraisal is done on techniques for quantifying qualitative lean metrics so that the lean index is a hybrid of both, increasing the confidence in the information derived using the lean index. This ensures every detail of lean within a system is quantified, allowing daily tracking of lean. The techniques are demonstrated in a print packaging manufacturing case.
  • References (16)
  • Citations (7)
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References16
Newest
Published on Mar 12, 2014in Production Planning & Control 3.34
Wai Peng Wong14
Estimated H-index: 14
(Universiti Sains Malaysia),
Joshua Ignatius15
Estimated H-index: 15
(Universiti Sains Malaysia),
Keng Lin Soh4
Estimated H-index: 4
(Universiti Sains Malaysia)
We develop a lean index to assess the leanness level of the organisation in sustaining lean transformation. This ‘lean index’ is developed from theory, and is quantified using a multi-criteria approach i.e., analytic network process (ANP). This index provides a useful measure for sustainable lean performance because it adopts a holistic approach of performance measurement based on the socio-technical perspective which considers the interdynamics of human, system and technology.
K.E.K. Vimal8
Estimated H-index: 8
(National Institute of Technology, Tiruchirappalli),
S. Vinodh26
Estimated H-index: 26
(National Institute of Technology, Tiruchirappalli)
Purpose – The purpose of this paper is to report a case study in which artificial neural network (ANN) has been used for performing fuzzy logic based leanness assessment.Design/methodology/approach – Leanness is the measure of lean manufacturing practice. Fuzzy logic has been used for the calculation of leanness. To improve the effectiveness of computation, ANN tool has been used in this study. The network has been modeled, trained and simulated using the MATLAB software.Findings – The disadvant...
K.E.K. Vimal8
Estimated H-index: 8
(National Institute of Technology, Tiruchirappalli),
S. Vinodh26
Estimated H-index: 26
(National Institute of Technology, Tiruchirappalli)
Lean manufacturing is a manufacturing system aimed at waste elimination thereby streamlining the process. Leanness is the performance measure of lean manufacturing. The measurement of leanness necessitates fuzzy logic, due of the existence of impreciseness and vagueness. The calculation of leanness using fuzzy logic manually is a time consuming and highly repetitive job. To overcome this, fuzzy logic-based inference method has been attempted in this research study. A conceptual model consisting ...
S. Vinodh26
Estimated H-index: 26
(National Institute of Technology, Tiruchirappalli),
K.E.K. Vimal8
Estimated H-index: 8
(National Institute of Technology, Tiruchirappalli)
Nowadays manufacturing organizations are moving towards lean practices to keep pace with the competition. Lean practices mainly focuses on eliminating seven deadly wastes, thereby reducing the cost. Leanness is the measure of lean manufacturing practices. This paper presents the 30 criteria based leanness assessment methodology using fuzzy logic. Fuzzy logic has been used to overcome the disadvantages with scoring method such as impreciseness and vagueness. During this research, a conceptual mod...
Published on Aug 1, 2011in Expert Systems With Applications 4.29
Seyed Mohammad Seyedhosseini8
Estimated H-index: 8
(IUST: Iran University of Science and Technology),
Ahmad Ebrahimi Taleghani2
Estimated H-index: 2
(IUST: Iran University of Science and Technology)
+ 1 AuthorsSolmaz Partovi1
Estimated H-index: 1
(IAU: Islamic Azad University)
For investigating the leanness criteria, a set of logical procedures for auto part manufacturing organizations have been developed in this paper. Of the common methodology to determine the production/service performance criteria is to consider and develop the performance measurement systems (PMS) to some extent. Reviewing the state-of-the arts, various systems & approaches used for measuring performance has been studied in which the concept of Balanced Scorecard (BSC) approach was selected in th...
Published on Jul 1, 2011in International Journal of Production Research 3.20
S. Vinodh26
Estimated H-index: 26
(National Institute of Technology, Tiruchirappalli),
S.R. Balaji1
Estimated H-index: 1
(National Institute of Technology, Tiruchirappalli)
Manufacturing organisations have been witnessing a transition from mass manufacturing to lean manufacturing. Lean manufacturing is focused on the elimination of obvious wastes occurring in the manufacturing process, thereby enabling cost reduction. The quantification of leanness is one of the contemporary research agendas of lean manufacturing. This paper reports a study which is carried out to assess the leanness level of a manufacturing organisation. During this research study, a leanness meas...
Published on Jan 1, 2011in Procedia Computer Science
Farzad Behrouzi5
Estimated H-index: 5
(UTM: Universiti Teknologi Malaysia),
Kuan Yew Wong25
Estimated H-index: 25
(UTM: Universiti Teknologi Malaysia)
Lean manufacturing has become an important avenue for both academics and practitioners in recent times. Many organizations around the world have attempted to implement it but the lack of a clear understanding of lean performance and its measurement will contribute to the failure of lean practices. There are many papers, articles, and reports that address lean techniques and tools, but few studies are found to focus systematically on lean performance evaluation. In order to fill the current gap, ...
Published on Jun 1, 2010in Measuring Business Excellence
Bhim Singh54
Estimated H-index: 54
,
Suresh Garg21
Estimated H-index: 21
,
Sushruti Sharma9
Estimated H-index: 9
(National Institute of Technology, Kurukshetra)
Purpose – The extant literature fails to provide an efficient method to measure leanness of any manufacturing firm. The purpose of this paper is to discuss the concept of leanness and to provide an efficient measurement method for measuring leanness.Design/methodology/approach – Measurement method is based on the judgment and evaluation given by leanness measurement team (LMT) on various leanness parameters such as supplier's issues, investment priorities, Lean practices, and various waste addre...
Published on Jan 1, 2010
Seyed Mahmod Zanjirchi1
Estimated H-index: 1
,
Hossein Sayyadi Tooranlo1
Estimated H-index: 1
,
Leili Zeidabadi Nejad1
Estimated H-index: 1
Purpose- To develop a methodology for measuring leanness degree in manufacturing companies using fuzzy logic. Design/methodology/approach- evaluation methods based on human perceptions; make this kind of measuring unreliable. Considering the deficiency, this research develop an approach based on linguistic variables and fuzzy numbers for measuring organizational leanness, and finally use the method for measuring a manufacturing organizations leanness. Finding- The method developed is usable simp...
Published on Apr 10, 2009in Benchmarking: An International Journal
Anand Gurumurthy8
Estimated H-index: 8
(BITS: Birla Institute of Technology and Science),
Rambabu Kodali25
Estimated H-index: 25
(BITS: Birla Institute of Technology and Science)
Purpose – In recent times, many organizations have attempted to implement or have already implemented lean manufacturing (LM). Some companies have implemented a few tools/techniques/practices/procedures (i.e. “elements” in short) of LM, while others have implemented a whole spectrum of LM elements. Under such circumstances, it becomes very difficult to gauge which organization has really embraced the lean philosophy and where it stands in comparison with other LM organizations. This paper seeks ...
Cited By7
Newest
Published on May 29, 2019in International Journal of Lean Six Sigma
Omogbai Oleghe2
Estimated H-index: 2
(Cranfield University),
Konstantinos Salonitis22
Estimated H-index: 22
(Cranfield University)
Purpose This study aims to seek to advance a system dynamics-discrete event hybrid simulation modelling concept useful for taking improvement decisions where one needs to consider the interactions between human factors and process flow elements in lean manufacturing systems. Design/methodology/approach A unique approach is taken to hybrid simulation modelling where the whole problem situation is first conceptualized using a causal loop diagram and stock and flow diagram, before transmitting to a...
Published on Mar 4, 2019in International Journal of Lean Six Sigma
Raid Al-Aomar11
Estimated H-index: 11
(Abu Dhabi University),
Matloub Hussain12
Estimated H-index: 12
(Abu Dhabi University)
Purpose The purpose of this paper is to develop a framework for identification, categorization and prioritization of lean techniques adopted in a hotel supply chain. Design/methodology/approach A survey tool is used for the identification of lean techniques that are relevant to a hotel supply chain. The targeted sample includes experts from 50 four- and five-star hotels in the United Arab Emirates (UAE) that confirmed experience in implementing lean practices across hotels supply chain. A Suppli...
Published on Jan 1, 2018
Omogbai Oleghe2
Estimated H-index: 2
(Cranfield University),
Konstantinos Salonitis22
Estimated H-index: 22
(Cranfield University)
This chapter presents the most recent developments with regards the assessment of leanness in manufacturing organizations. Leanness is the measure of the performance of lean manufacturing practices. It is tracked for improvement using assessment frameworks. This chapter reviews prevalent frameworks in order to organize the knowledge, extract the typical and potential uses, establish strengths and weaknesses and reveal ways of improving the extant frameworks. Prevailing frameworks are identified ...
Published on Jan 1, 2016in Procedia CIRP
Stanley Jay Rusev1
Estimated H-index: 1
(Cranfield University),
Konstantinos Salonitis22
Estimated H-index: 22
(Cranfield University)
Abstract 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 knowled...
Published on Jan 1, 2016in Procedia CIRP
Oleghe Omogbai3
Estimated H-index: 3
(Cranfield University),
Konstantinos Salonitis22
Estimated H-index: 22
(Cranfield University)
Abstract Lean manufacturing (LM) has been used widely in the past for the continuous improvement of existing production systems. A Lean Assessment Tool (LAT) is used for assessing the overall performance of lean practices within a system, while a Discrete Event Simulation (DES) can be used for the optimization of such systems operations. Lean improvements are typically suggested after a LAT has been deployed, but validation of such improvements is rarely carried out. In the present article a met...
Published on Jan 1, 2016in Procedia CIRP
Oleghe Omogbai3
Estimated H-index: 3
(Cranfield University),
Konstantinos Salonitis22
Estimated H-index: 22
(Cranfield University)
Abstract Lean manufacturing is synonymous with a set of practices used in the identification and elimination of waste related with the manufacturing system, and focusing on what creates value for the customer. Lean assessment tools enable an overall audit of the performance of lean practices, and so are able to identify lean improvements. The interactions between lean practices and their improvements are often latent and need to be investigated: a systems approach can be used to disclose these h...
Published on Jan 1, 2016in Procedia CIRP
Omogbai Oleghe2
Estimated H-index: 2
(Cranfield University),
Konstantinos Salonitis22
Estimated H-index: 22
(Cranfield University)
Abstract The lean index is the sum of weighted scores of performance variables that describe the lean manufacturing characteristics of a system. Various quantitative lean index models have been advanced for assessing lean manufacturing performance. These models are represented by deterministic variables and do not consider variation in manufacturing systems. In this article variation is modeled in a quantitative fuzzy logic based lean index and compared with traditional deterministic modeling. B...