Abstract:Purpose
The purpose of this paper is to analyze lean strategic practices being implemented in manufacturing facilities throughout Pennsylvania and West Virginia and identify the difficulty in implementing those lean practices.
Design/methodology/approach
A skip logic questionnaire was developed into multiple sections for analysis; demographics of respondents, identification of the knowledge and practice of lean methods, interpretation of lean application, strategic direction of lean methods, measurements of … Show more
“…The internal consistency and reliability of the survey were tested using the Cronbach's α reliability test [16]. Abolhassani et al, [17] stated that Spearman's correlation evaluates a relationship between two variables, without making any assumptions about the frequency distribution of the variables and it was applied to measure the correlation of the relation of CMP and MCD. Out of 150 questionnaires sent, a total 61 were completed and returned.…”
Section: Methodsmentioning
confidence: 99%
“…This is evidently shown in Figure 2 where these three components (product quality, on-time delivery and minimum cost) have the higher mean score compared to the others component measured. Manufacturing industries in pursuit of cost and time reduction without decreasing product quality [17,[19][20]. Improved product quality and on-time delivery result in improved performance [21].…”
Section: Measures Of Current Manufacturing Performance (Cmp)mentioning
Manufacturing systems, in pursuit of cost, time and flexibility optimisation are becoming more and more complex, exhibiting a dynamic and nonlinear behaviour. Unpredictability is a distinct characteristic of such behaviour and effects production planning significantly. Complexity continues to be a challenge in manufacturing systems, resulting in ever-inflating costs, operational issues and increased lead times to product realisation. This challenge must be met with appropriate decision-making by manufacturing companies to secure competitive advantage without compromising sustainability. Assessing complexity realises the reduction and management of complexity sources which contribute to lowering associated engineering costs and time, improves productivity and increases profitability. Therefore, this study was undertaken to investigate the priority level and current achievement of manufacturing performance in Malaysia's manufacturing industry and the complexity drivers on manufacturing productivity performance. The results showed that Malaysia's manufacturing industry prioritised product quality and they managed achieved a good on-time delivery performance. However, for other manufacturing performance, there was a difference where the current achievement of manufacturing performances in Malaysia's manufacturing industry is slightly lower than the priority given to them. The strong correlation of significant value for priority status was observed between efficient production levelling (finished goods) and finish product management while the strong correlation of significant value for current achievement was minimised the number of workstation and factory transportation system. This indicates that complexity drivers have an impact towards manufacturing performance. Consequently, it is necessary to identify complexity drivers to achieve well manufacturing performance.
“…The internal consistency and reliability of the survey were tested using the Cronbach's α reliability test [16]. Abolhassani et al, [17] stated that Spearman's correlation evaluates a relationship between two variables, without making any assumptions about the frequency distribution of the variables and it was applied to measure the correlation of the relation of CMP and MCD. Out of 150 questionnaires sent, a total 61 were completed and returned.…”
Section: Methodsmentioning
confidence: 99%
“…This is evidently shown in Figure 2 where these three components (product quality, on-time delivery and minimum cost) have the higher mean score compared to the others component measured. Manufacturing industries in pursuit of cost and time reduction without decreasing product quality [17,[19][20]. Improved product quality and on-time delivery result in improved performance [21].…”
Section: Measures Of Current Manufacturing Performance (Cmp)mentioning
Manufacturing systems, in pursuit of cost, time and flexibility optimisation are becoming more and more complex, exhibiting a dynamic and nonlinear behaviour. Unpredictability is a distinct characteristic of such behaviour and effects production planning significantly. Complexity continues to be a challenge in manufacturing systems, resulting in ever-inflating costs, operational issues and increased lead times to product realisation. This challenge must be met with appropriate decision-making by manufacturing companies to secure competitive advantage without compromising sustainability. Assessing complexity realises the reduction and management of complexity sources which contribute to lowering associated engineering costs and time, improves productivity and increases profitability. Therefore, this study was undertaken to investigate the priority level and current achievement of manufacturing performance in Malaysia's manufacturing industry and the complexity drivers on manufacturing productivity performance. The results showed that Malaysia's manufacturing industry prioritised product quality and they managed achieved a good on-time delivery performance. However, for other manufacturing performance, there was a difference where the current achievement of manufacturing performances in Malaysia's manufacturing industry is slightly lower than the priority given to them. The strong correlation of significant value for priority status was observed between efficient production levelling (finished goods) and finish product management while the strong correlation of significant value for current achievement was minimised the number of workstation and factory transportation system. This indicates that complexity drivers have an impact towards manufacturing performance. Consequently, it is necessary to identify complexity drivers to achieve well manufacturing performance.
“…To counter the adverse effects of competition, firms adopt various manufacturing strategies such as lean manufacturing. Lean manufacturing has been identified in the literature as one of the practices adopted by firms to manage and control their costs (Taj 2008;Liker 2004;Zahraee 2016) and help the organisations to sustain in a long term (Abolhassani, Layfield & Gopalakrishnan 2016). Although the main aim of implementing lean production is to increase productivity, reduce costs, improve quality and enhance performance, past studies (e.g.…”
Adoption of advanced manufacturing techniques such as lean manufacturing is one of the strategies that help manufacturing firms to sustain their competitiveness and achieve the desired outcomes. It is argued that the traditional Management Accounting Systems (MAS) are no longer capable of providing information necessary to operate in the ever changing business environment. This study examines the role of MAS information in the relationship between market competition, lean manufacturing and organisational performance. Data were gathered using a questionnaire survey from manufacturing firms listed in the Federation of Malaysian Manufacturers (FMM) Directory. The results reveal the relationships between lean manufacturing and the MAS, as well as between the MAS and performance, are positive and significant, which suggest that the relationship between lean manufacturing and performance is indirect through the MAS. This provides evidence that the use of MAS information in a lean manufacturing environment facilitates firms in improving organisational performance. ABSTRAK Penggunaan teknik pengilangan maju seperti pengilangan 'lean' adalah salah satu strategi yang membantu syarikat pengilangan untuk mengekalkan daya saing mereka dan mencapai hasil yang dikehendaki. Adalah dikatakan bahawa sistem perakaunan pengurusan (MAS) tradisional tidak lagi mampu menyediakan maklumat yang diperlukan untuk beroperasi dalam persekitaran perniagaan yang sentiasa berubah-ubah. Kajian ini mengkaji peranan maklumat MAS dalam hubungan di antara persaingan pasaran, pengilangan 'lean' dan prestasi organisasi. Data dikumpulkan dengan menggunakan soal selidik dari firma-firma pengilangan yang disenaraikan di Direktori Persekutuan Pekilang-Pekilang Malaysia (FMM). Keputusan mendedahkan bahawa hubungan di antara pengilangan 'lean' dan MAS, serta di antara MAS dan prestasi, adalah positif dan signifikan, yang menunjukkan bahawa hubungan di antara pengilangan 'lean' dan prestasi adalah secara tidak langsung melalui MAS. Ini memberikan bukti bahawa penggunaan maklumat MAS di dalam persekitaran pengilangan 'lean' memudahkan syarikat untuk meningkatkan prestasi organisasi.Kata kunci: Pengilangan 'lean'; 'just in time'; pengurusan kualiti menyeluruh; persaingan pasaran; sistem perakaunan pengurusan JPengurusan 4 (52) 2018.indd 47
“…Abolhassani et al (2016) argue that larger companies tend to adopt lean practices more widely. Therefore, the identification of the practices most easily applicable to the context of the small com- …”
Section: Literature Reviewmentioning
confidence: 99%
“…Specifically in the small companies context, previous studies (Saurin et al, 2010;Abolhassani et al, 2016) point to difficulties in the LM implementation process that differ from larger companies. Thus, it is important to highlight certain critical success factors (CSF) and barriers to the LM implementation in small companies, such as the proximity between top management (usually represented by small companies owners) and the operation, which tends to favor greater support to improvement projects Hallgren et Olhager, 2009;Anand et Kodali, 2010).…”
This article aims to identify how the critical success factors (CSF), barriers and practices for lean manufacturing (LM) implementation in a small company are related. For this, the CSF, barriers and practices of LM related to small companies were initially consolidated from a literature review. Through semi-structured interviews and focus groups with the leaders of a small electronics manufacturing company in lean implementation, the relationships were evaluated and ranked through the incorporation of a multi-criteria analysis tool. The integration of a multi-criteria analysis tool into qualitative research methods (focused groups, semi-structured interviews and participatory observation) allowed quantifying these relationships in order to identify convergent efforts for a successful LM implementation. Existing frameworks for lean implementation are targeted at larger companies, disregarding the specific small company context. This study provides a guide to assist LM implementation in small manufacturing companies. Furthermore, the greater understanding of these relationships enables managers to anticipate potential problems, allowing a more successful implementation.
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