A relational analysis of drivers and barriers of lean manufacturing

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Bharat Singh Patel ◽  
Murali Sambasivan ◽  
R. Panimalar ◽  
R. Hari Krishna
Keyword(s):  
Lean Manufacturing ◽  
Structural Model ◽  
Middle Level ◽  
Lean Management ◽  
Content Type ◽  
Structural Hierarchy ◽  
Bottom Level ◽  
Lean Practices ◽  
Novel Approach ◽  
The Impact

PurposeThe purpose of this study is to categorize and analyse the drivers and barriers of Lean Manufacturing (LM) and subsequently, based on the structural model develop a house of lean management which will give an idea to the academicians and practitioners about the factors that are critical to implement lean practices in an organization.Design/methodology/approachA list of drivers and barriers was prepared based on the literature review and opinions from experts. Total Interpretive Structural Modelling (TISM) was utilized to build a structural hierarchy of the drivers and barriers of LM. The structural hierarchy was utilized to build the house of lean management.FindingsBased on the hierarchy developed, the elements (drivers and barriers) of LM are classified into three groups: bottom-level, middle-level and top-level elements. To develop a house of lean management, bottom-level of elements were considered as a foundation, middle-level elements were considered as pillars and top-level elements were considered as a beam. Finally, foundation, pillars and beam of the house were used to support the roof (which is value to customers and profitability to firm).Practical implicationsThe outcome of this research can assist researchers as well as practitioners to enhance the significant drivers and to reduce the impact of hazardous barriers for the better implementation of lean practices.Originality/valueThis research is a novel approach, as it visibly demonstrates both the drivers and barriers, examines the interrelationships among them in order and shows them pictorially as the house of lean management.

The relationships among transformational leadership, sustainable leadership, lean manufacturing and sustainability performance in Thai SMEs manufacturing industry

2019 ◽  
Vol 36 (6) ◽  
pp. 1014-1036 ◽  
Author(s):  
Piyachat Burawat
Keyword(s):  
Transformational Leadership ◽  
Lean Manufacturing ◽  
Manufacturing Industry ◽  
Structural Model ◽  
Participant Observation ◽  
Sustainable Leadership ◽  
Content Type ◽  
Sustainability Performance ◽  
Lean Practices ◽  
Depth Interview

Purpose The purpose of this paper is to examine the structural relationship model among transformational leadership, sustainable leadership (SL), lean manufacturing practices and sustainability performance. Design/methodology/approach The data were collected from the middle and senior managers working in small and medium enterprises of Thai manufacturing industry. Regarding the quantitative approach, the data were collected by means of survey from 598 respondents from 374 companies. Qualitative data were collected from 40 participants by participant observation, non-participant observation and in-depth interview. Findings The model reported that lean manufacturing has a partial mediate effect on the relationship between transformational leadership and sustainability performance, and between SL and sustainability performance. The structural model is different in automotive and nonautomotive companies, and the structural model is different among the companies which implemented lean program for less than five years and above five years. The data from in-depth interview informed that lean practices are appropriate for automotive industry though with less implementation in other industries. Firms pay most attention on customer involvement with some attention on employee and supplier involvement. Managers give advices and exchange ideas with their followers rather than inspiring and giving opportunities to make decision. Research limitations/implications The findings may also enable Thai managers to realize that lean practices are appropriate for any industry. The first thing to do before launching lean program to all process is that the company should buy-in the understanding of managers about lean concept and implementation. Willingness with well understanding and realizing importance of lean program will lead to superior results, especially operational, economic and sustainable performance. Originality/value The reliability and validity measurements confirmed that both SL and environmental and social performance are appropriate for manufacturing industries. This study provides evidence of the positive relationship between SL and lean manufacturing, lean manufacturing and sustainability performance, as well as the partial mediate effect of lean manufacturing on the relationship between SL and sustainability performance, which are the additional contributions to research in academic field. The results confirmed the positive relationship between transformational leadership and lean manufacturing. The results reported that there is difference of lean practices between automotive and nonautomotive companies, and between companies which implemented lean program less than five years and above five years. The structural relationship result reported that transformational leadership has effects on lean manufacturing whereas SL has no effect on lean manufacturing, which asserted the previous study in which one leadership model is more appropriate for success within lean implementations.

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

2019 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Miguel Gomez Segura ◽  
Omogbai Oleghe ◽  
Konstantinos Salonitis
Keyword(s):  
System Dynamics ◽  
Business Model ◽  
Lean Manufacturing ◽  
Business Performance ◽  
Content Type ◽  
Lean Practices ◽  
Strategic Impact ◽  
The Impact ◽  
Sd Model

Purpose A system dynamics (SD)-based methodology is described for analysing the impact of lean manufacturing strategies on a company's business performance, using business model canvas (BMC) perspective. Design/methodology/approach A case study approach is used to describe the methodology which consists of conceptualising a SD model on the basis of BMC. The base SD 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 in 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 SD 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 organisation target which lean improvements to initiate based on their strategic impact on the business. Originality/value Limited studies exist where SD and business models are combined to test the strategic impact of lean manufacturing.

The effect of emotions, eWOM quality and online review sequence on consumer intention to follow advice obtained from digital services

2020 ◽  
Vol 31 (3) ◽  
pp. 465-487 ◽  
Author(s):  
Carla Ruiz-Mafe ◽  
Enrique Bigné-Alcañiz ◽  
Rafael Currás-Pérez
Keyword(s):  
Structural Model ◽  
Online Reviews ◽  
Moderating Effect ◽  
Online Information ◽  
Bias Effect ◽  
Content Type ◽  
Digital Services ◽  
Information Cues ◽  
Cognitive Information ◽  
The Impact

PurposeThis paper analyses the interrelationships between emotions, the cognitive information cues of online reviews and intention to follow the advice obtained from digital platforms, paying special attention to the moderating effect of the sequencing of review valence.Design/methodology/approachThe data were collected from 830 Spanish Tripadvisor users. In a two-step approach, a measurement model was estimated and a structural model analysed to test the proposed hypotheses. SmartPLS 3.0 software was used. The moderating effect of sequencing of reviews is tested.FindingsThe data analysis showed a bias effect of review sequence on the impact of online information cues and emotions on intention to follow advice obtained from Tripadvisor. When the online reviews of a restaurant begin with positive commentaries, their perceived persuasiveness is a stronger driver of the pleasure and arousal elicited by online reviews than when they begin with negative reviews. On the other hand, the perceived helpfulness of online reviews only triggers arousal when the user reads negative, followed by positive, comments. The impact of pleasure on intention to follow the advice provided in an online travel community is higher with positive-negative than with negative-positive sequences.Originality/valueWhile researchers have demonstrated the benefits of customer reviews on company sales, a largely uninvestigated issue is the interplay between emotions and cognitive information cues in the processing of online reviews. This is one of the first studies to examine the moderating effect of conflicting reviews on the impact of emotions and cognitive information cues on consumer intention to follow the advice obtained from digital services.

Application of lean practices in small and medium-sized food enterprises

2013 ◽  
Vol 116 (1) ◽  
pp. 125-141 ◽  
Author(s):  
Manoj Dora ◽  
Dirk Van Goubergen ◽  
Maneesh Kumar ◽  
Adrienn Molnar ◽  
Xavier Gellynck
Keyword(s):  
Food Processing ◽  
Lean Manufacturing ◽  
Raw Materials ◽  
Current Status ◽  
Food Sector ◽  
Statistical Process ◽  
Content Type ◽  
Lean Practices ◽  
The Status ◽  
Manufacturing Techniques

Purpose – Recent literature emphasizes the application of lean manufacturing practices to food processing industries in order to improve operational efficiency and productivity. Only a very limited number of studies have focused on the implementation of lean manufacturing practices within small and medium-sized enterprises (SMEs) operating in the food sector. The majority of these studies used the case study method and concentrated on individual lean manufacturing techniques geared towards resolving efficiency issues. This paper aims to analyze the status of the lean manufacturing practices and their benefits and barriers among European food processing SMEs. Design/methodology/approach – A structured questionnaire was developed to collect data. A total of 35 SMEs' representatives, mostly CEOs and operations managers, participated in the survey. The study investigated the role of two control variables in lean implementation: size of the company and country of origin. Findings – The findings show that lean manufacturing practice deployment in food processing SMEs is generally low and still evolving. However, some lean manufacturing practices are more prevalent than others; e.g. flow, pull and statistical process control are not widely used by the food processing SMEs, whereas total productive maintenance, employee involvement, and customer association are more widespread. The key barriers encountered by food SMEs in the implementation of lean manufacturing practices result from the special characteristics of the food sector, such as highly perishable products, complicated processing, extremely variable raw materials, recipes and unpredictable demand. In addition, lack of knowledge and resources makes it difficult for food processing SMEs to embark on the lean journey. Originality/value – The gap in the literature regarding the application of lean manufacturing in the food sector is identified and addressed in this study. The originality of this paper lies in analyzing the current status of the use of lean manufacturing practices among food SMEs in Europe and identifying potential barriers.

Exploring the importance of cultural collectivism on the efficacy of lean practices

2015 ◽  
Vol 35 (3) ◽  
pp. 370-391 ◽  
Author(s):  
Frank Wiengarten ◽  
Cristina Gimenez ◽  
Brian Fynes ◽  
Kasra Ferdows
Keyword(s):  
Lean Manufacturing ◽  
Negative Impact ◽  
National Level ◽  
Organisational Culture ◽  
Cultural Dimension ◽  
Content Type ◽  
Lean Practices ◽  
Individualistic Culture ◽  
Cultural Components ◽  
Organisational Level

Purpose – The purpose of this paper is to assess the influence of cultural collectivism on the efficacy of lean practices. Furthermore, this study assesses whether or not potential cultural disadvantages related to the level of individualism at the national level can be compensated for at the organisational culture level. Design/methodology/approach – Hofstede’s cultural dimension of individualism is used to test whether practicing a collectivistic culture at the organisational level can fully compensate for the potential disadvantages of being geographically situated in an individualistic culture when practicing lean manufacturing. Findings – Results suggest that cultural collectivism at the national and organisational level have a significant impact on the efficacy of lean practices. Furthermore, the negative impact of being situated in an individualistic country cannot be fully compensated for through practicing a collectivistic organisational culture when practicing lean. Originality/value – This study represents a comprehensive attempt to simultaneously assess the collectivism cultural components of lean practices at the national as well as at the organisational level.

Validity and reliability of lean manufacturing frameworks

2014 ◽  
Vol 5 (4) ◽  
pp. 361-391 ◽  
Author(s):  
Naga Vamsi Krishna Jasti ◽  
Rambabu Kodali
Keyword(s):  
Frequency Analysis ◽  
Lean Manufacturing ◽  
Manufacturing Industry ◽  
Research Work ◽  
Middle Level ◽  
Manufacturing Industries ◽  
Validity And Reliability ◽  
Content Type ◽  
Survey Tool ◽  
Industry Sector

Purpose – The purpose of this paper is to investigate, validity and reliability analysis on existing Lean manufacturing (LM) frameworks when applied to Indian organizations. LM is one of the best manufacturing strategies that are used by manufacturing plant managers to improve manufacturing capabilities. Design/methodology/approach – In the present research work, a questionnaire-based survey was used to examine 35 LM frameworks. The study targeted respondents ranging from top- and middle-level management personnel in Indian manufacturing industry. The sample includes organizations in a variety of industries ranging from automobile, electronics, engineering, process and textile industries products. The survey tool was prepared with team of 12 members i.e. six academicians and six professionals from manufacturing industry environment. The study received 186 responses from various sectors of manufacturing industry, 180 surveys were usable resulting in a response rate of 23.90 per cent. Factor analysis was conducted to check unidimentionality of the framework. Cronbach’s alpha is calculated to find reliability of each framework’s. Lastly, frequency analysis was used to recognize familiar constructs of LM on the chosen framework. Findings – This study has identified that most of the LM frameworks revealed a high level of reliability. When the study has examined further advance about unidimensionality with respect to the construct, i.e. the LM it measures, it confirmed 11 frameworks were revealing unidimensionality. The frequency analysis was evident that a greater part of the constructs has a high mean score and mode. Finally, the research concludes that there is requirement for a novel framework to Indian manufacturing industry to stay in competition with global manufacturing industries. Research limitations/implications – Cross-sectional data from manufacturing industries and India (only one country) is used with sample size restricted to 180 only, and it would be interesting to test these frameworks for more than one industry sector and country. Practical implications – The present work tries to find the suitability of the presented LM frameworks to Indian manufacturing industry sector. The authors hoped that the present research would give the information to the management to execute the suitable LM framework in their firm. Originality/value – The present work tries to find the suitability of the presented LM frameworks to Indian manufacturing industry sector. The authors hoped that the present research would give the information to the management to execute the suitable LM framework in their firm.

The effect of clustering on competitiveness improvement in Hebron

2017 ◽  
Vol 28 (5) ◽  
pp. 631-654 ◽  
Author(s):  
Ibrahim M. Awad ◽  
Alaa A. Amro
Keyword(s):  
Structural Equation ◽  
Structural Model ◽  
Model Building ◽  
Measurement Model ◽  
Background Information ◽  
Equation Modeling ◽  
Future Research ◽  
Research Model ◽  
Content Type ◽  
The Impact

Purpose The purpose of this paper is to map the cluster in the leather and shoes sector for improving the competitiveness of the firms. Toward this end, the study is organized to examine the impact of clustering on competitiveness improvement. The influence of competitive elements and performance (Porter’s diamond) and balanced score card was utilized. Design/methodology/approach A random sample of 131 respondents was chosen during the period from May 2016 to July 2016. A structural equation modeling (SEM) analysis was applied to investigate the research model. This approach was chosen because of its ability to test casual relationships between constructs with multiple measurement items. Researchers proposed a two-stage model-building process for applying SEM. The measurement model was first examined for instrument validation, followed by an analysis of the structural model for testing associations hypothesized by the research model. Findings The main findings show that there is a unidirectional causal relationship between improvements of performance and achieve competitiveness and also reveal that the Palestinian shoes and leather cluster sector is vital and strong, and conclude that clustering can achieve competitiveness for small- and medium-sized enterprises. Research limitations/implications Future research can examine the relationship between clustering and innovation. The effect of clustering using other clustering models other than Porter’s model is advised to be used for future research. Practical implications The relationships among clustering and competitiveness may provide a practical clue to both, policymakers and researchers on how cluster enhances economic firms such as a skilled workforce, research, development capacity, and infrastructure. This is likely to create assets such as trust, synergy, collaboration and cooperation for improved competitiveness. Originality/value The findings of this study provide background information that can simultaneously be used to analyze relationships among factors of innovation, customer’s satisfaction, internal business and financial performance. This study also identified several essential factors in successful firms, and discussed the implications of these factors for developing organizational strategies to encourage and foster competitiveness.

Determinants of the online purchase intention: hedonic motivations, prices, information and trust

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Pedro Espírito Santo ◽  
Alzira Maria Ascensão Marques
Keyword(s):  
Purchase Intention ◽  
Structural Equation ◽  
Online Shopping ◽  
Structural Model ◽  
Easy Access ◽  
Online Information ◽  
Access To Information ◽  
Content Type ◽  
Online Purchase ◽  
The Impact

PurposeThe Internet has changed the nature of purchasing, proof of this being the proliferation of e-commerce sites which have seen their activity grow more quickly due to the COVID-19 pandemic. Therefore, the authors aim to investigate the impact of the consumer's hedonic motivations, price, access to information and trust on the online purchase intention.Design/methodology/approachA quantitative, transversal study of a conclusive nature was carried out. Based on information gathered through a questionnaire administered to a sample of 750 online purchasers, a structural equation model was estimated.FindingsThe results showed that the intention to continue purchasing in online shops is partly explained by access to information online, hedonic motivations and trust in e-commerce sites. It stands out that online information generates trust, and the perception of online prices does not influence loyalty but has a positive influence on hedonic motivations.Research limitations/implicationsAlthough some constructs were ignored, for example, the integration of channels, experiential marketing and the fear of fraud, including unauthorised use of personal details, the study shows that easy access to useful information about products, prices, promotions is an important antecedent of online purchase.Practical implicationsOnline shop managers should pay special attention to e-commerce websites, and the information provided there should explore consumer's hedonic motivations for adventure. Furthermore, it is fundamental to create trust in order to maintain the interest in online shopping.Originality/valueThe estimation of the structural model in the context of online shopping includes the influence of utilitarian motivations (price and access to information), which offer a rational experience and also include emotional motivations (hedonic adventure motivations) on the intention to buy online. The results also revealed that it plays an important role to promote online trust and online loyalty.

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 Co-producing digitally-enabled courses that promote desistance in prison and probation settings

2018 ◽  
Vol 4 (4) ◽  
pp. 269-279 ◽  
Author(s):  
Jason Morris ◽  
Victoria Knight
Keyword(s):  
Criminal Justice ◽  
Digital Media ◽  
Digital Content ◽  
Service Users ◽  
Target Groups ◽  
Content Type ◽  
Novel Approach ◽  
Offending Behaviour ◽  
The Impact ◽  
Delivery Models

PurposeThe purpose of this paper is to set out an approach to innovation in criminal justice settings that gives service users a “voice” through the co-production of digital content designed for services that promote desistance. The authors describe the benefits and challenges of involving service users in co-creating mediated digital content within a co-production framework.Design/methodology/approachThis paper presents a new methodology for developing desistance-oriented programmes. The authors draw on a distinctive co-production exemplar within a prison setting that captures the perspectives of people who have shared their voices and the authors begin to explore the impact that co-production has had for them and for the service.FindingsThe testimonies of service users involved in this exemplar provide insights into the benefits and challenges of co-production in the criminal justice system more broadly.Practical implicationsCo-production is a credible service design strategy for developing digital services in prisons and probation; Complementary Digital Media (CDM) provides a promising pedagogical approach to promoting desistance; CDM enables service users to share their voice and stories to assist their peers. Digitally enabled courses to promote desistance can be well suited to peer support delivery models.Originality/valueCDM is a novel approach that uses co-production to create highly tailored content to promote desistance in discrete target groups. CDM can be used to digitalise processes within traditional offending behaviour programmes (OBPs). It can also enable the development of innovative toolkit approaches for flexible use within day-to-day therapeutic conversations between service users and criminal justice staff or peer supporters. CDM thereby offers practitioners in criminal justice settings an entirely new set of evidence-informed resources to engage service users.

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