A Survey on Lean Manufacturing Tools Implementation in Malaysian Food and Beverages Industry Using Rasch Model

Khusaini, Nurul Syuhadah; Jaffar, Ahmed; Yusoff, Noriah

doi:10.4028/www.scientific.net/amr.845.642

Cited by 13 publications

(14 citation statements)

References 9 publications

(10 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As displayed in Figure 4, the Cronbach's alpha (α) and person reliability values were 0.96 and 0.95, respectively. With the value of more than 0.7 (Cronbach's alpha (α) and person reliability), it was proven that using another set of items to measure similar study with a similar set of person placement was equitable [37]. This indicated that the instrument's internal consistency in measuring the respondents' conceptual comprehension of the topic was excellent [35].…”

Section: Resultsmentioning

confidence: 99%

“…Therefore, to obtain a good data analysis of survey questionnaire, a statistical software for Rasch model analysis named Winstep software V3.72.3 was used. Literature studies showed that the Rasch model has been used in other research fields such as education [32]- [36], food and beverages [23], [37], medical [24], and sport [38] and it was proven capable to measure any subjective assessment. At the same time, Rasch is also capable to convert all ordinal data into ratio data.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Employee Satisfaction Towards Integration of Quality Management System: A Case Study of Malaysian Automotive Manufacturer

Khalid¹,

Saad²,

Halim³

et al. 2022

JMechE

Self Cite

View full text Add to dashboard Cite

This paper presents a case study to analyse the workers’ satisfaction level on the implementation of an integrated quality system between the IATF 16949 and Toyota Production System focusing on internal audit activity in one automotive company in Malaysia. The main goal was to validate and investigate the issues and challenges those employees in the organisation faced before and after the systems were integrated. Rasch Measurement Model was used to analyse the data collected. Initially, pilot data were conducted, and the data were used to construct the survey questionnaire with 3 constructs and 47 items. A total of 30 respondents from various departments were assessed with the demographic traits of position in the organization and years of service. From the pre-implementation survey, most of the respondents agreed that too many documents were involved throughout both audits and lack of training for auditee on both systems was the main cause to the ineffective implementation of both systems, particularly at mass production process. Both items were measured below the person mean value in variable map (pre-implementation). After the integrated system, the post-survey analysis proved that too many documents and lack of training were above person mean value in variable map (post-implementation). The results revealed that most of the respondents agreed the integration of both systems has given an effective result and good impact to the organization’s performance.

show abstract

Section: Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Employee Satisfaction Towards Integration of Quality Management System: A Case Study of Malaysian Automotive Manufacturer

Khalid¹,

Saad²,

Halim³

et al. 2022

JMechE

Self Cite

View full text Add to dashboard Cite

show abstract

“…Goshime et al (2019) reported that most industries in the developing countries are still in an infant stage in adopting the LM philosophy, while Yadav et al (2020b) asserted that many organizations have not yet adopted the LM philosophy in the developing world. The developing countries lack the expertise that helps in the implementation of LM (Hokoma et al , 2010; Ghosh, 2013; Khusaini et al , 2014), and there is also more knowledge of LM in the developed countries compared to the developing countries (Hokoma et al , 2010; Panwar et al , 2016). In addition to that, authors such as Khaba and Bhar (2018), Shamah (2013) and Wong and Wong (2011) averred that some employees fear losing their jobs due to retrenchment when non-value-added activities become visible.…”

Section: Introductionmentioning

confidence: 99%

A systematic literature review of lean manufacturing implementation in manufacturing-based sectors of the developing and developed countries

Maware

Okwu

Adetunji

2021

IJLSS

View full text Add to dashboard Cite

Purpose This study aims to comparatively discuss the effect of lean manufacturing (LM) implementation in the manufacturing sectors of developing and developed countries. Design/methodology/approach An in-depth literature review focused on previous research published between 2015 and March 2020. The papers published by the databases such as Google Scholar, Scopus, ProQuest and Web of Science were used in the study. A total of 63 studies that focused on LM application in manufacturing industries in developing and developed countries were used in the research. Findings It was observed that LM improves operational performance for manufacturing organizations in developing and developed countries. Small and medium-sized enterprises in both developed and developing countries have difficulties transforming their organizations into lean organizations compared to large enterprises. Furthermore, the review also found that there seems to have been no paper had reported the negative impact of implementing LM in manufacturing industries in developing and developed countries from 2015 to March 2020. Research limitations/implications The study used research papers written between January 2015 and March 2020 and only considered manufacturing organizations from developed and developing nations. Practical implications The study provides more insight into LM implementation in developing and developed countries. It gives the LM practices and the implications of applying these practices in manufacturing organizations for developing and developed countries. Originality/value A preliminary review of papers indicated that this seems to be the first paper that comparatively studies how LM implementation has affected manufacturing organizations in developed and developing countries. The study also assessed the LM practices commonly used by the manufacturing industries in developing and developed countries.

show abstract

“…The first type of these studies involves adopting various traditional methods, and some of these methods include certain limitations inherent in the method itself used in these studies. For example, one of these models requires someone with powerful information of mathematical methods and good experiences that are required to evaluate the criteria of the methods (Khusaini et al , 2014; Pelton, 2002). Also, another method requires that the user constantly update in order to remain up-to-date with the advancements and availability of technologies and administrative procedures (Wan and Chen, 2009).…”

Section: Introductionmentioning

confidence: 99%

Selection methods of lean management tools: a review

Naeemah¹,

Wong²

2021

IJPPM

View full text Add to dashboard Cite

PurposeThe purpose of this paper is (1) to review, analyze and assess the existing literature on lean tools selection studies published from 2005 to 2021; (2) to identify the limitations faced by previous studies; and (3) to suggest future works that are necessary to facilitate the selection of lean tools.Design/methodology/approachA systematic approach was used in order to identify, collect and select the articles. Several keywords related to the selection of lean tools were used to collect articles from different Scopus indexed journals. Next, the study systematically reviewed and analyzed the selected papers to identify the lean tools' selection method and discussed its features and limitations.FindingsAn analysis of the results showed that previous studies have adopted two types of methods for selecting lean tools. First, there are various traditional methods being used. Second, multi-criteria decision-making (MCDM) methods were commonly used in previous studies, such as the multi-objective decision-making method (MODM), single multi-attribute decision-making (MADM) methods and hybrid (MCDM). Moreover, the study revealed that the lean tools' selection methods in previous studies were based on evaluating the relationship between either lean tools and performance metrics or lean tools and waste, or both.Research limitations/implicationsIn terms of its theoretical value, the study is considered as an extension of the previous researches performed on this topic by determining and analyzing the features of the most selection methods of lean tools. Unlike previous review papers, this review had considered discussing and analyzing the characteristics and limitations of these methods. Section 2.2 of this paper reviewed some of the categories of MCDM methods as well as some of the traditional methods used in the selected previous studies. Section 2.1 of this paper explained the concept of lean management and its application benefits. Further, only three sectors were covered by the previous studies in this review paper. This study also provided recommendations for future research. Therefore, it provided researchers with a good conception of how to conduct the studies on lean tools selection. Besides, knowing the methods used in previous studies can help researchers develop new methods to select the best set of lean tools. That is, this study provided and advanced the existing knowledge base for researchers concerning lean tools selection, especially there is limited availability of review papers on this topic. Moreover, the study showed researchers the importance of the relationship between lean tools and indicators or/and performance indicators to determine the appropriate set of lean tools so that the results of future studies will be more realistic and acceptable.Practical implicationsPractically, manufacturers face a significant challenge when selecting proper lean tools. This study may enhance managers, manufacturers and company's knowledge to identify most of the methods used to choose the best set of lean tools and what are the advantages, disadvantages and limitations of these methods as well as the latest studies that have been adopted in this topic. That means this study can direct companies to prioritize the application of lean tools depending on either the manufacturing performance metrics or/and manufacturing wastes so that they avoid incorrect application of lean tools, which will add more non-value added activities to operations. Therefore companies can decrease the time and cost losses and enhancing the quality and efficiency of the performance. Correctly implementing the best set of lean tools in companies will lead in general to correctly applying lean management in corporations. Therefore, these lean tools can boost the economic aspect of companies and society through reducing waste, improving performance indicators, preserving time and cost, achieving quality, efficiency, competitiveness, boosting employee income and improving the gross domestic product. The correct lean tool selection reduces customer complaints and employee stress and improves work conditions, health, safety and labor wellbeing. Besides, the correct lean tools selection improves materials usage, energy usage, water usage and decreases liquid wastes, solid wastes and air emissions. As a result, the right selection of lean tools will have positive effects on both the environment and society. The study may also encourage manufacturers and researchers to adopt studies on lean tools selection in small- and medium-sized companies because the study referred to the importance and participation of these kinds of companies in a large proportion of the economy of developing countries. Further, the study may encourage some countries that have not previously adopted this type of study, academically and industrially to conduct lean tools selection studies.Social implicationsAs mentioned previously, the correct lean tool selection reduces customer complaints and employee stress and improves work conditions, health, safety and labor wellbeing. The proper lean tools selection improves materials usage, energy usage, water usage and decreases liquid wastes, solid wastes and air emissions. As a result, the right choice of lean tools will positively affect both the environment and society.Originality/valueThe study expanded the efforts of previous studies concerning lean management features. It provided an accurate review of most lean tools selection studies published from 2005 to 2021 and was not limited to the manufacturing sector. It further identified and briefly described the selection methods concerning lean tools adopted in each paper.

show abstract

A Survey on Lean Manufacturing Tools Implementation in Malaysian Food and Beverages Industry Using Rasch Model

Cited by 13 publications

References 9 publications

Employee Satisfaction Towards Integration of Quality Management System: A Case Study of Malaysian Automotive Manufacturer

Employee Satisfaction Towards Integration of Quality Management System: A Case Study of Malaysian Automotive Manufacturer

A systematic literature review of lean manufacturing implementation in manufacturing-based sectors of the developing and developed countries

Selection methods of lean management tools: a review

Contact Info

Product

Resources

About