Modern divulge in production optimization: an implementation framework of LARG manufacturing with Industry 4.0

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Muhammad Saad Amjad ◽  
Muhammad Zeeshan Rafique ◽  
Mohammad Aamir Khan
Keyword(s):  
Lean Manufacturing ◽  
Industry 4.0 ◽  
Green Manufacturing ◽  
Agile Manufacturing ◽  
Production Optimization ◽  
Implementation Framework ◽  
Integration Framework ◽  
Content Type ◽  
Manufacturing Organization ◽  
Efficient Manufacturing

Purpose In the modern manufacturing environment, it is imperative to apply the manufacturing concepts of lean, agile, resilient and green, collectively known as LARG manufacturing, to achieve excellence in which lean manufacturing eliminates wastes; agile manufacturing makes processes fast, efficient and flexible; resilient paradigm deals with countering the uncertainty while green manufacturing improves environmental performance. The objective of this study is to develop an integration framework that synergizes LARG manufacturing with Industry 4.0. Design/methodology/approach Through a literature review, the authors have explored the possibility of collaboration between constituents of lean, agile, resilient and green manufacturing with the facets of Industry 4.0. Findings The authors have developed a comprehensive integration framework that has been divided into 11 phases and 31 steps in which the various Industry 4.0 facets have supplemented the lean, agile, resilient and green paradigms. Practical implications This investigation and adoption of technologically intensive automation shall provide clarity to practitioners regarding the synergy of LARG manufacturing & Industry 4.0, so that fast and efficient manufacturing processes can be achieved. Originality/value The framework provides detailed insight towards implementation of LARG practices in a manufacturing organization in coalescence with Industry 4.0 practices.

scholarly journals A K-Chart based implementation framework to attain lean & agile manufacturing

2020 ◽  
Vol 8 (2) ◽  
pp. 123
Author(s):  
S. Zaheer ◽  
M.S. Amjad ◽  
M.Z. Rafique ◽  
M.A. Khan
Keyword(s):  
Literature Review ◽  
Lean Manufacturing ◽  
Research Work ◽  
Agile Manufacturing ◽  
Production Optimization ◽  
Implementation Framework ◽  
Study Approach ◽  
Implementation Techniques ◽  
New Vision ◽  
Major Factors

<div><p class="TtuloAbstract">Lean manufacturing has always ensured production optimization by eliminating wastes, and its implementation has helped in improving the operational performance of the organization since it eliminates the bottlenecks from the processes, thus making them efficient. In lean scenarios, the focus is on “waste” elimination, but in agile manufacturing, the focus is on the ability of comprehension of changing market dynamics and the resilience. One of the major factors in the combined implementation of lean and agile approaches is inadequate planning, monitoring and lack of awareness regarding changing market trends, and this can be countered by utilizing the effective tool of K-Chart. Through a systematic literature review, the authors establish the requirement of effective planning and monitoring in the implementation of integrated lean and agile approach, concluding that K-Chart is a handy tool to adopt for their effective implementation. The result provides a new vision of lean implementation through K-Chart, whereas it provides clarity to practitioners by presenting a K-chart based implementation framework for achieving favourable results. Being a literature review the research work can be validated through a case study approach in future through a comparative analysis between various implementation techniques and K-Chart.</p></div>

An analysis of Industry 4.0 implementation-variables by using SAP-LAP and e-IRP approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Veepan Kumar ◽  
Ravi Shankar ◽  
Prem Vrat
Keyword(s):  
Industry 4.0 ◽  
Business Environment ◽  
Content Type ◽  
Qualitative And Quantitative ◽  
Wide Range ◽  
Interpretive Ranking Process ◽  
Relevant Variables ◽  
Manufacturing Organization ◽  
Industry Associations ◽  
Practical Implications

PurposeIn today’s uncertain business environment, Industry 4.0 is regarded as a viable strategic plan for addressing a wide range of manufacturing-related challenges. However, it appears that its level of adoption varies across many countries. In the case of a developing economy like India, practitioners are still in the early stages of implementation. The implementation of Industry 4.0 appears to be complex, and it must be investigated holistically in order to gain a better understanding of it. Therefore, an attempt has been made to examine the Industry 4.0 implementation for the Indian manufacturing organization in a detailed way by analyzing the complexities of relevant variables.Design/methodology/approachSAP-LAP (situation-actor-process and learning-action-performance) and an efficient interpretive ranking process (e-IRP) were used to analyze the various variables influencing Industry 4.0 implementation. The variables were identified, as per SAP-LAP, through a thorough review of the literature and based on the perspectives of various experts. The e-IRP has been used to prioritize the selected elements (i.e. actors with respect to processes and actions with respect to performance) of SAP-LAP.FindingsThis study ranked five stakeholders according to their priority in Industry 4.0 implementation: government policymakers, industry associations, research and academic institutions, manufacturers and customers. In addition, the study also prioritized important actions that need to be taken by these stakeholders.Practical implicationsThe results of this study would be useful in identifying and managing the various actors and actions related to Industry 4.0 implementation. Accordingly, their prioritized sequence would be useful to the practitioners in preparing the well-defined and comprehensive strategic roadmap for Industry 4.0.Originality/valueThis study has adopted qualitative and quantitative approaches for identifying and prioritizing different variables of Industry 4.0 implementation. This, in turn, helps the stakeholder to comprehend the concept of Industry 4.0 in a much simpler way.

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.

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.

Lean and agile manufacturing: complementary or competing capabilities?

2020 ◽  
Vol 31 (4) ◽  
pp. 749-774 ◽  
Author(s):  
Tahir Iqbal ◽  
Muhammad Shakeel Sadiq Jajja ◽  
Mohammad Khurrum Bhutta ◽  
Shahzad Naeem Qureshi
Keyword(s):  
Lean Manufacturing ◽  
Structural Equation ◽  
Positive Impact ◽  
Agile Manufacturing ◽  
Equation Modeling ◽  
Future Research ◽  
Cross Sectional ◽  
Content Type ◽  
Exporting Firms ◽  
Strategic Capabilities

PurposeLean (TQM and JIT) and agile manufacturing (AM) are viewed as strategic capabilities that can help firms to meet diverse set of market demands. However, the question whether lean manufacturing and AM are complementary or competing capabilities is still open to discussion. This research proposes an integrated research framework that draws on complementary theory, theory of systems, and concept of fit to examine this question regarding these two strategic capabilities.Design/methodology/approachData are collected from 248 apparel exporting firms, and the proposed model is evaluated using structural equation modeling.FindingsResults show that lean manufacturing, AM, and supporting management and infrastructural practices have positive and complementary effects on firm's performance. Further, results depict that lean manufacturing and AM complementarity is a complete organizational synergistic phenomenon, and piecemeal implementation of these initiatives may lead to suboptimal or unsatisfactory results. Results also indicate that there is no significant direct (correlated and uncorrelated) relationship of management, infrastructure, lean manufacturing, and AM practices with firm's performance and support that lean manufacturing and AM are not competing paradigms.Research limitations/implicationsThis research is based on cross-sectional data from one industry. Future research should collect data from diverse sectors in different countries.Practical implicationsThis study provides a key insight for manufacturing managers that piecemeal implementation of lean manufacturing and AM does not yield optimal outcomes. In addition, study suggests that lean manufacturing and AM complementarity builds on strong foundation of strategic management and internal and external infrastructure. Therefore, managers should focus on development of skilled and empowered human resources, technological advancements, and learning and virtually integrated organizations for effective implementation of lean manufacturing and AM.Originality/valueProposed framework is one of the first, if not the first, that seeks to resolve the question: whether lean manufacturing and AM are complementary or competing capabilities. Complementary effects of lean manufacturing and AM along with management, internal infrastructure, and common external infrastructure practices have positive impact on performance. This study also segregated infrastructure practices into internal and common external infrastructure practices.

scholarly journals Managerial and Industry 4.0 solutions for fashion supply chains

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Marcello Braglia ◽  
Leonardo Marrazzini ◽  
Luca Padellini ◽  
Rinaldo Rinaldi
Keyword(s):  
Supply Chains ◽  
Lean Manufacturing ◽  
Industry 4.0 ◽  
Design Methodology ◽  
Industrial Case Study ◽  
Content Type ◽  
Enabling Technologies ◽  
Production Orders ◽  
Practical Implications

PurposeThe purpose of this paper is to present a structured framework whose objectives are to identify, analyse and eliminate fashion-luxury supply chains inefficiencies.Design/methodology/approachA Lean Manufacturing tool, the 5-Whys Analysis, has been used to find out the root causes associated with the problem identified from a data analysis of production orders of a fashion-luxury company. A case study, which explains the methodology and illustrates the capability of the tool, is provided.FindingsThis tool can be considered a suitable instrument to identify the causal factors of inefficiencies within luxury supply chains, suggesting potential countermeasures able to eliminate the problems previously highlighted. In addition, enabling technologies that deal with Industry 4.0 are associated with the root causes to enable further improvement of the supply chain.Practical implicationsThe effectiveness and practicality of the tool are illustrated using an industrial case study concerning an international Italian signature in the world of fashion-luxury footwear sector.Originality/valueThis framework provides practitioners with an operative tool useful to highlight where the major inefficiencies of fashion-luxury supply chains take place and, at the same time, individuates both the root causes of inefficiencies and the corresponding corrective actions, even considering Industry 4.0 enabling technologies.

Forty criteria based agility assessment using scoring approach in an Indian relays manufacturing organization

2014 ◽  
Vol 12 (4) ◽  
pp. 507-518 ◽  
Author(s):  
Sakthivel Aravindraj ◽  
S. Vinodh
Keyword(s):  
Research Study ◽  
Assessment Tool ◽  
Agile Manufacturing ◽  
Assessment Model ◽  
Content Type ◽  
Agility Assessment ◽  
Research Findings ◽  
Manufacturing Organization ◽  
Agile Model ◽  
Practical Feasibility

Purpose – The purpose of this study was to develop a 40-criteria agility assessment model and explore its practical feasibility in an industrial scenario. Design/methodology/approach – Agile manufacturing (AM) principles enable organizations to understand customer needs and incorporate the necessary changes in product- and processes-oriented approaches. In this research study, a 40-criteria agility assessment model was developed. The agility assessment model was subjected to investigation in an Indian relays manufacturing organization. Findings – The research study indicates that the organization is agile. Besides computing agility level, the gaps across agile criteria have been identified and actions for agility improvement were subjected to implementation in the case organization. Research limitations/implications – The 40-criteria agility assessment model was subjected to investigation in a single manufacturing organization. In future, more number of studies could be conducted. Practical implications – To acquire agile characteristics, modern organizations should assess the agility level at which they operate. In this context, the agility assessment model was developed. Originality/value – The agility assessment tool presented in this paper consists of 40 agile criteria, which are well supported by the research findings reported in literature. Hence, the developed 40-criteria agile model is original and novel.

Exploring antecedents of extended supply chain performance measures

2015 ◽  
Vol 22 (5) ◽  
pp. 752-772 ◽  
Author(s):  
Rameshwar Dubey ◽  
Sadia Samar Ali
Keyword(s):  
Factor Analysis ◽  
Regression Analysis ◽  
Supply Chain ◽  
Literature Review ◽  
Response Bias ◽  
Lean Manufacturing ◽  
Green Manufacturing ◽  
Superior Performance ◽  
Supply Chain Performance ◽  
Content Type

Purpose – The purpose of this paper is to explore the antecedents of Indian firms practicing green manufacturing practices and their impact on extended supply chain performance. Design/methodology/approach – In this paper the authors have adopted systematic literature review (SLR) to derive research objectives and questions. In order to answer research questions the authors have proposed a theoretical framework and derived research hypotheses. The authors identified constructs and items through extant literatures and developed a structured questionnaire which was pretested before using for final survey. The data were collected in two phases and also performed wave analysis to check non-response bias to avoid any significant impact of non-response bias on statistical analysis. The data has been used to conduct exploratory factor analysis using varimax rotation which reduces variables into five parsimonious and orthogonal factors. The factor analysis output was further used as an input of regression analysis. Findings – The factor analysis output has further validated the findings from literature review. The factor analysis output suggests that total quality management (TQM), supplier relationship management (SRM), R & D and technology and lean manufacturing practices are important determinants of Indian firms practicing green manufacturing practices which impact extended supply chain performance. The regression analysis output has further established that TQM and R & D and technology are strong determinants of extended supply chain performance. However, present study does not support SRM and lean manufacturing practices from respondent’s perspective. However, it further needs to be explored. Research limitations/implications – The present study is limited to medium-sized manufacturing firms. Second, the conclusive model explains only 31.9 percent of the total extended supply chain performance. The study provides an insight to managers that those companies which have implemented TQM and green technology have realized superior performance in comparison to those which have not successfully implemented. Originality/value – The present study is toward understanding Indian green manufacturing practices.

Sign in / Sign up

Export Citation Format

Share Document