scholarly journals Lean Maturity Assessment in ETO Scenario

2021 ◽  
Vol 11 (9) ◽  
pp. 3833
Author(s):  
Mariastella Chiera ◽  
Francesco Lupi ◽  
Andrea Rossi ◽  
Michele Lanzetta
Keyword(s):  
Lean Manufacturing ◽  
Mathematical Formulation ◽  
Assessment Model ◽  
Assessment Framework ◽  
Lean Product Development ◽  
Lean Assessment ◽  
Assessment And Monitoring ◽  
Mission Management ◽  
Engineer To Order ◽  
Manufacturing Organization

The obligatory path towards a lean manufacturing organization requires assessment and monitoring. However, a lean assessment framework is not yet available for the engineer to order (ETO) scenario. This work explored ten lean ETO maturity principles—identified from the literature—that take insight from three formally defined sets (Toyota Way, lean construction, and lean product development principles). A practical assessment model was proposed based on the evaluation of ten lean ETO objective criteria (four with mathematical formulation) and was validated on a real industrial case. A problem-solving tool, including a new lean tool, called the Problem Focus Matrix (PFM), was also presented; this tool was aimed toward development of an integrated framework that would include the organization mission, management, and continuous improvement.

scholarly journals IMPLEMENTASI KONSEP LEAN MANUFACTURING GUNA MENGURANGI PEMBOROSAN DI LANTAI PRODUKSI

OPSI ◽  
2018 ◽  
Vol 11 (1) ◽  
pp. 14 ◽  
Author(s):  
Almer Panji Pradana ◽  
Mochammad Chaeron ◽  
Muhammad Shodiq Abdul Khanan
Keyword(s):  
Six Sigma ◽  
Lean Manufacturing ◽  
Lean Six Sigma ◽  
Assessment Model ◽  
Value Stream ◽  
Event Simulation ◽  
Analysis Tools ◽  
Big Picture

CV Marga Jaya (Pabrik II) adalah perusahaan yang bergerak di bidang pembuatan paving/conblock secara masal. CV Marga Jaya (Pabrik II) selalu berusaha mengurangi pemborosan yang terjadi selama proses produksi paving/conblock. Pemborosan yang terjadi antari lain, adanya produksi berlebih, transportasi, waktu menunggu, dan cacat yang berlebih.  Lean Manufacaturing merupakan pendekatan yang bertujuan untuk merampingkan proses dengan mengurangi pemborosan yang terjadi selama proses produksi. Pendekatan konsep lean manufacturing dimulai dengan membuat big picture mapping, dilanjutkan dengan waste assessment model (WAM), diagram cause and effects, value stream analysis tools (VALSAT), usulan perbaikan waste yang terjadi, dan pembuatan descrete event simulation (DES). Hasil yang didapat bahwa waktu menunggu yang terjadi diperbaiki dengan menggunakan conveyor, produksi berlebih yang terjadi diperbaiki dengan melakukan perencanaan produksi, dan cacat berlebih yang terjadi diperbaiki dengan menggunakan 5W+1H dengan sebelumnya menggunakan konsep lean six sigma dan didapat nilai sigma sebesar 4,31 sigma. Simulasi proses menunjukkan dengan mengurangi pemborosan, kemampuan produksi naik 15,36% (penjemuran 30 hari) dan 147,20% (penjemuran 7 hari).

scholarly journals Technoeconomic Assessment Based on Active Context-Knowledge Orchestration for Power Internet of Things

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Yuanshuo Zheng ◽  
Shujuan Sun ◽  
Chenyang Li ◽  
Jingtang Luo ◽  
Jiuling Dong ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Power Distribution ◽  
Economic Benefits ◽  
Assessment Model ◽  
Learning Technology ◽  
Assessment Framework ◽  
Technical Performance ◽  
System Requirements ◽  
Context Knowledge ◽  
Technology And Economy

Power Internet of Things (abbreviated as PIoT) is the information infrastructure to provide ubiquitous perception ability for smart grid (abbreviated as SG). To better deploy and utilize PIoT, its perception ability must be comprehensively assessed in terms of technical performance and economic benefits. However, at present, there is no assessment framework for PIoT due to the high diversity and heterogeneousness of SG scenarios. Additionally, there is information overlap between metrics in the assessment framework. The assessment model which could remove redundant information between metrics and simplify the assessment framework is an urgent demand to improve the effectiveness and timeliness of assessment. Consequently, first, aiming at the power system requirements of complex and diverse, a general assessment framework is put forward to assess the ability of PIoT in terms of technology and economy. Next, the requirement characteristics of power distribution scenario (abbreviated as PDS) are precisely analyzed with active context-knowledge orchestration technology. The general assessment framework is instantiated to build an instantiation assessment scheme in PDS. Moreover, an assessment model is established based on the instantiation assessment scheme to assess the efficiency of PIoT in Beijing. Finally, the assessment model is further refined with the machine learning technology to improve the efficiency of assessment. This refinement model achieves the extraction of 4-dimensional metrics from 23-dimensional metrics for assessment and finally improves assessment efficiency by 82.6%.

Leanness assessment of organizational performance: a systematic literature review

2018 ◽  
Vol 29 (5) ◽  
pp. 768-788 ◽  
Author(s):  
Narpat Ram Sangwa ◽  
Kuldip Singh Sangwan
Keyword(s):  
Literature Review ◽  
Organizational Performance ◽  
New Product Development ◽  
Systematic Literature Review ◽  
Manufacturing Process ◽  
Lean Manufacturing ◽  
English Language ◽  
Manufacturing Sector ◽  
Content Type ◽  
Lean Assessment

Purpose The purpose of this paper is to review various themes of leanness, leanness assessment approaches, leanness assessment areas, and their evolution by a systematic literature review (SLR). Design/methodology/approach The eight types of literature review methodologies are identified and compared. The SLR is selected after critically analyzing the eight types of literature reviews. A four-phased SLR (i.e. plan, do, analyze/synthesize, and propose) has been carried out based on the peer-reviewed journal and conference articles on leanness assessment. Findings The existing literature on leanness assessment shows the lack of review-based papers on lean assessment. This study attempts to build a two-fold contribution to the field of leanness assessment: first, various types of themes, approaches, and assessment areas are identified; second, a framework for leanness assessment is proposed. The study shows that the research on leanness assessment is mainly empirical using qualitative judgment. The paper traces the changes in scope, areas, and approaches to leanness assessment. The scope of leanness assessment broadened from manufacturing process assessment to whole supply chain assessment including manufacturing process. The focus of earlier assessment was manufacturing and financial areas which now includes human resource, administration, new product development, suppliers, and customers also. Tool and technique based assessment has given way to outcome-based assessment using non-financial and qualitative parameters. Research limitations/implications One of the limitations of the study is that literature search was mainly focused on peer-reviewed articles published in English language only; therefore, some papers in others languages may have been missed. Apart from this, the SLR has been conducted for the manufacturing sector only. Practical implications The study is expected to be useful for the lean practitioners to identify the causes of reported lean failures. Moreover, the authors also expect that the conducted SLR will provide the passage to the practitioners for not only fostering the concepts on leanness assessment but also provide the vital and significant knowledge about the leanness assessment to the managers for enhancing organizational performance. Originality/value As per the authors’ knowledge, this is the first SLR on leanness assessment. It is expected that this paper will help the researchers working in the area of lean manufacturing to identify new areas of research.

Comparative analysis of ranking the lean supply chain enablers: An AHP, BWM and fuzzy SWARA based approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Hemant Sharma ◽  
Nagendra Sohani ◽  
Ashish Yadav
Keyword(s):  
Supply Chain ◽  
Literature Review ◽  
Lean Manufacturing ◽  
Production Systems ◽  
Initial Step ◽  
Content Type ◽  
Lean Practices ◽  
Manufacturing Organization ◽  
Good Productivity ◽  
Lean Supply Chain

PurposeIn the recent scenario, there has been an increasing trend toward lean practices and implementation in production systems for the improvement of an organization’s performance as its basic nature is to eliminate the wastes. The increasing interest of customers in customized products and the fulfillment of customers’ demand with good productivity and efficiency within time are the challenges for the manufacturing organization; that is why adopting lean manufacturing concept is very crucial in the current scenario.Design/methodology/approachIn this paper, the authors considered three different methodologies for fulfilling the objective of our research. The analytical hierarchy process, best–worst method and fuzzy step-wise weight assessment ratio analysis are the three methods employed for weighting all the enablers and finding the priority among them and their final rankings.FindingsFurther, the best results among these methodologies could be used to analyze their interrelationships for successful lean supply chain management implementation in an organization. In this paper, 35 key enablers were identified after the rigorous analysis of literature review and the opinion of a group of experts consisting of academicians, practitioners and consultants. Thereafter, the brainstorming sessions were conducted to finalize 28 lean supply chain enablers (LSCEs).Practical implicationsFor lean manufacturing practitioners, the result of this study can be beneficial where the manufacturer is required to increase efficiency and reduce cost and wastage of resources in the lean manufacturing process.Originality/valueThis paper is the first of the research papers that considered deep literature review of identified LSCEs as the initial step, followed by finding the best priority weightage and developing the ranking of various lean enablers of supply chain with the help of various methodologies.

scholarly journals Lean-excellence business management for manufacturing SMEs focusing on KRI

2019 ◽  
Vol 69 (3) ◽  
pp. 519-539 ◽  
Author(s):  
Ibrahim Salih Mohammad ◽  
Chike F. Oduoza
Keyword(s):  
Lean Manufacturing ◽  
Business Performance ◽  
Small Firms ◽  
Assessment Model ◽  
External Support ◽  
Self Assessment ◽  
Implementation Framework ◽  
Lean Implementation ◽  
Content Type ◽  
National Quality

Purpose The purpose of this paper is to develop an effective framework for implementing Lean strategies in small- and medium-sized enterprises (SMEs) in the Kurdistan Region of Iraq (KRI). Design/methodology/approach Based on the integration of LM tools and techniques with the Malcolm Baldrige National Quality Award (MBNQA) criteria a systematic Lean implementation framework for manufacturing SMEs has been proposed. The core values, drivers and tools of the proposed framework were further developed based on case studies in three SMEs in the KRI. Findings Proposed framework is able to provide a simple pathway for SMEs to systematically implement Lean techniques in seven functional areas in order to create Lean culture in the organisation. Business performance measurement in terms of profitability, customer satisfaction, employee’s satisfaction, competitiveness growth and ergonomic improvement is presented in favour of evaluating Lean outcomes appropriately. It also presents the experience of small firms in implementing Lean programmes to show that Lean is valid in SMEs. Research limitations/implications The framework concentrates only on the internal issues of the organisation, while external variables such as national culture and external support are excluded. Practical implications The framework assists improvements in SMEs that either initially attempt to start Lean journey or those that are at more advanced levels towards excellent-Lean manufacturing. The framework can also be used as a self-assessment model to determine the degree of Lean readiness. Originality/value To the best knowledge of the author, it is the first framework that integrates Lean techniques with MBNQA criteria to support Lean implementation in SMEs. It is also the first study regarding Lean-excellence in the KRI.

Assessment model of lean effect (AMLE)

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Samah Elrhanimi ◽  
Laila EL Abbadi
Keyword(s):  
Lean Manufacturing ◽  
Scoring Rules ◽  
Assessment Model ◽  
Global Reporting Initiative ◽  
Performance Measurements ◽  
Content Type ◽  
Iso 26000 ◽  
Study Results ◽  
Global Performance

PurposeThe purpose of this paper is to present the “Assessment Model of Lean Effect” (AMLE), a theoretical model that measures Lean manufacturing implementation effect over the global performance of a company.Design/methodology/approachAMLE model is divided in two criteria types: the “Facilitators criteria” and the “Results criteria”. “Results criteria” are inspired from the European Foundation for Quality Management (EFQM), Global Reporting Initiative (GRI) and ISO 26000. The “Facilitators criteria” are based on the main philosophy of the Lean manufacturing, which is the total elimination of all types of waste. The development of the scoring scale was based on the results, approach, deployment, assessment and review (RADAR) philosophy and the experience of nine consultants from the automotive field; the choice of the consultants was based on three conditions. Furthermore, each consultant has his\her own weight according to its expertise. Lastly, the AMLE was validated via a case study set in an automotive industry company called FEBA. The validation process is divided in two different steps: the first step is related to Facilitators assessment and scoring; via the evaluation of the different projects implemented by FEBA to eliminate the different types of waste. The second step concerns Results assessment and scoring, via the evaluation of the performance measurements used by FEBA to assess the effect of the Facilitators' implementation.FindingsThe developed model (AMLE) enabled the Lean manufacturing effect assessment on the global performance of a firm from the automotive field. The case study results reveal that the aforementioned firm does not give priority to social measurements. Consequently, the performance of the firm was negatively impacted.Research limitations/implicationsThe criteria of AMLE are inspired from the definition of the Lean manufacturing given by Taiichi Ohno, from ISO 26000 and from GRI; meaning that these criteria could be adjusted if other references existed or developed. In addition, the scoring rules are established according to the experience of a limited number of consultants from the automotive field. The scoring rules establishment would lead to meaningful outcomes, if the number of participants was increased. During the assessment of the global performance, the perception of the auditor plays an important role in terms of scoring because the scoring rules allow the possibility to the auditor to give from the minimum to the maximum of the score, according to his perception and experience. For the case study, the validation of the developed model requires starting with the “Facilitators” implementation process and then measure the generated global performance. However, due to time constraints and limited opportunities for new projects, the validation was based only on existing projects managed by the firm. To address the study limitations, it is envisaged to detail and explain the scoring rules while extending the number of consultants. Furthermore, the assessment of Lean manufacturing global performance through the AMLE model may be subjective and requires a mathematical modeling. In fact, the Lean manufacturing performance assessment via the developed model could have a degree of subjectivity; that is why the design of a mathematical model seems required.Practical implicationsThe research findings may direct practitioners and decision makers to the importance of assessing the global effect of the Lean manufacturing on the overall performance of the firm. The AMLE model is a tool allowing the assessment of Lean manufacturing effect over economic, environmental and social performances.Originality/valueThe developed model is the first one assessing the global performance generated by the elimination of waste via the application of the Lean manufacturing.

scholarly journals Risk Assessment and Monitoring of Green Logistics for Fresh Produce Based on a Support Vector Machine

2020 ◽  
Vol 12 (18) ◽  
pp. 7569
Author(s):  
Guoquan Zhang ◽  
Guohao Li ◽  
Jing Peng
Keyword(s):  
Risk Assessment ◽  
Support Vector Machine ◽  
Learning Algorithm ◽  
Fresh Produce ◽  
Assessment Model ◽  
Cold Chain ◽  
Risk Indicators ◽  
Support Vector ◽  
Monitoring Model ◽  
Assessment And Monitoring

The sustainability and profitability of fresh produce supply chains are contingent upon several risk factors. This work, therefore, examines several risk indicators that affect the quality and safety of fresh produce in transit, including technological, biological, sustainability, environmental, and emergency risks. Then, we developed a risk assessment and monitoring model that employs a machine learning algorithm, a support vector machine, based on historical monitoring data. The proposed methodology was then applied to simulation and numerical analysis to assess the risks incurred in the strawberry cold chain. After training, the algorithm predicted the risks incurred during transportation with an average accuracy of 90.4%. Therefore, the developed methodology can effectively and accurately perform a risk assessment. Furthermore, the risk assessment model can be applied to other fresh produce due to comprehensive risk indicators. Decision-makers in fresh produce logistics companies can use the developed methodology to identify and mitigate risks incurred, thus improving food safety, reducing product loss, maximizing profits, and realizing sustainable development.

An application of grey based decision making approach for the selection of manufacturing system

2014 ◽  
Vol 4 (3) ◽  
pp. 447-462 ◽  
Author(s):  
Om Ji Shukla ◽  
Gunjan Soni ◽  
G. Anand
Keyword(s):  
Decision Making ◽  
Lean Manufacturing ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Strategic Decision ◽  
Decision Matrix ◽  
Content Type ◽  
Manufacturing Organization ◽  
Decision Making Model ◽  
Selection Of

Purpose – In the current customer-driven market, the manufacturers have to be highly responsive and flexible to deliver a variety of products. Hence, to meet this dynamic and uncertain market changes, the production system, which enables the manufacturing of such variety of products should be able to meet such diverse, dynamic changes. Hence, selecting a suitable manufacturing system is a key strategic decision for today's manufacturing organization, which needs to survive in these uncertain market conditions. Hence, the purpose of this paper is to present a decision-making model for selecting the best manufacturing system and also discuss the criteria on the basis of which the management can select the same. Design/methodology/approach – A case of small- and medium-sized company is presented, in which the management is deciding to establish a most suitable manufacturing system. To supplement this, a suitable multi-criteria decision-making model (MCDM), the grey approach is used to analyze manufacturing system alternatives based on various decision criteria to arrive a comparative ranking. Findings – An extensive analysis of grey-based decision-making model described grey decision matrix, grey normalized decision matrix, grey weighted normalized decision matrix and grey possibility degrees for three alternatives revealed that lean manufacturing systems was found to be the most suitable manufacturing system among three alternatives for a given case. Research limitations/implications – The same study can be extended by including sub-criteria with main criteria for selection of manufacturing system by utilizing two MCDM techniques such as AHP or ANP with Grey approach. Practical implications – The Grey approach has been discussed in a detailed way and it will be useful for the managers to use this approach as a tool for solving similar type of decision-making problems in their organizations in the future. Originality/value – Although, the problem of selecting a suitable manufacturing system is often addressed both in practice and research, very few reports are available in the literature of Grey-based decision models that demonstrated its application for selecting a suitable manufacturing systems.

An investigation into manufacturing performance achievements accrued by Indian manufacturing organization through strategic 5S practices

2018 ◽  
Vol 67 (4) ◽  
pp. 754-787 ◽  
Author(s):  
Jugraj Singh Randhawa ◽  
Inderpreet Singh Ahuja
Keyword(s):  
Lean Manufacturing ◽  
Manufacturing Industry ◽  
Service Industry ◽  
Manufacturing Sector ◽  
Successful Implementation ◽  
Automotive Manufacturing ◽  
Content Type ◽  
Manufacturing Performance ◽  
Improvement Programs ◽  
Manufacturing Organization

Purpose The purpose of this paper is to evaluate the quantitative and qualitative benefits accrued by an Indian automotive parts industry through strategic 5S implementation initiatives. Design/methodology/approach The study involves evaluation of steps involved in systematic implementation of 5S program methodology in an automotive manufacturing organization and investigation of achievements accrued by the industry through the successful implementation of 5S program. Findings The empirical results of the study have revealed that effective practice of 5S program brings considerable level of improvements in the quality, production, cost optimizations, employee’s morale values and work culture in the manufacturing industry. The industry accrued both tangible and non-tangible benefits through the holistic adoption of 5S principals. 5S principals have been envisioned to further support other quality improvement programs like lean manufacturing initiatives of the organizations. Research limitations/implications The limitation of the study is that this research has been carried out in only manufacturing industry while similar study will be conducted in the service industry also. Originality/value Global competition in the manufacturing sector has provided necessary impetus for manufacturing organizations for affecting continuous improvements in manufacturing performance for achieving sustainability and profitability in the competitive market. 5S implementation is the fundamental tool for the overall achievements in both quantitative and qualitative performance enhancements in the manufacturing as well as service organizations.

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