Embracing advanced manufacturing technologies for performance improvement: an empirical study

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rajesh Kumar Singh ◽  
Amulya Gurtu

PurposeThis study has analyzed strategic issues in implementing advanced manufacturing technologies (AMTs) in manufacturing organizations in India and their relative importance.Design/methodology/approachA survey of manufacturing organizations was conducted, and the data were analyzed using statistical tools (one-sample t-tests, correlation and regression analyses).FindingsImprovement in product quality and flexibility of operations are the motivation for AMTs implementation. Top management support and sound financial conditions are essential for implementing AMTs. Successful implementation of AMTs helps in reducing the lead time and improving overall business performance.Research limitations/implicationsThe findings of this study will help organizations in the implementation of AMTs for improving productivity and business performance. The study is limited to manufacturing organizations in India.Practical implicationsOrganizations should allocate sufficient funds for AMT applications. Organizational culture should be made conducive to the adoption of new technologies. Employees should be provided adequate training for its successful implementation.Originality/valueThe main contribution of this paper is that it provides a detailed analysis of strategic issues for implementing AMTs in manufacturing organizations.

Author(s):  
Balkrishna Eknath Narkhede

Manufacturing is crucial for the robust growth of the economy, for exports and for generating substantial relevant employment. Manufacturing is a force multiplier; it means investment in manufacturing yields four times the effect on Gross Domestic Product (GDP) growth. The core manufacturing sector comprises engineering and construction, industrial manufacturing, materials and commodities, chemicals and plastics, and automotive. In today's era of globalization and competition, business excellence is important, which needs coordination between business and manufacturing strategy. Based on a systematic review of published articles from 1982 to 2012, the present paper proposes and discusses a framework which brings together a set of variables related to the manufacturing strategies and advanced manufacturing technologies and the internal contextual factors driving it. The purpose of this literature review is to investigate the adoption of manufacturing strategies and it is observed that strategic alignment of competitive priorities with business strategy improves the business performance of the manufacturing organizations.


Author(s):  
Balkrishna Eknath Narkhede

Manufacturing is crucial for the robust growth of the economy, for exports and for generating substantial relevant employment. Manufacturing is a force multiplier; it means investment in manufacturing yields four times the effect on Gross Domestic Product (GDP) growth. The core manufacturing sector comprises engineering and construction, industrial manufacturing, materials and commodities, chemicals and plastics, and automotive. In today's era of globalization and competition, business excellence is important, which needs coordination between business and manufacturing strategy. Based on a systematic review of published articles from 1982 to 2012, the present paper proposes and discusses a framework which brings together a set of variables related to the manufacturing strategies and advanced manufacturing technologies and the internal contextual factors driving it. The purpose of this literature review is to investigate the adoption of manufacturing strategies and it is observed that strategic alignment of competitive priorities with business strategy improves the business performance of the manufacturing organizations.


Author(s):  
Arishu Kaushik ◽  
Doordarshi Singh

Purpose The purpose of this paper is to find out and highlight the major influential barriers in the implementation of advanced manufacturing technologies (AMTs) in small and medium enterprises (SMEs) of Northern India. The major barriers in the implementation of AMTs in manufacturing industries of Northern India have been critically assessed in this paper. Design/methodology/approach An ample and reasonable number of small- and medium-scale manufacturing industries of northern India have been surveyed with an aim to find out the barriers in the implementation of AMTs. On the basis of data collected, AHP–TOPSIS method was applied in order to measure the weightage of each barrier in a simple mathematical form. Findings High cost of AMTs, lack of appropriate financial resources and current processes or procedures are the major barriers that cause hindrance in the path of implementation of AMTs in SMEs. Research limitations/implications This investigation was based on the survey followed by judgments of experts in industry and academia; other approaches such as PROMETHEE, WPM, VIKOR, etc., can be applied for investigation. Also, the study can be carried out in different region(s) and parts of the country. Practical implications This paper can be helpful in many ways to the management or industrialists of various nations who are on the same path or will follow soon. Originality/value SMEs need to address the findings of this research in order to overcome the barriers and successfully implement the AMTs. A model for successful implementation of AMTs by overcoming the barriers has been suggested.


Author(s):  
Divanshu Gupta ◽  

Advanced Manufacturing Technology (AMT) is becoming a paronomasia in a scenario of today’s manufacturing striding towards Manufacturing 4.0 paradigm. While achieving such objectives, the initial impetus is to be given to reduce the waste arising out of motion and transportation using both hard and soft technologies by management. Right time delivery of product is also enhanced by these strategies, however the research is still lacking in such domains in local enterprises. To check the performance of various tools and strategies in manufacturing organizations, an investigative research was considered necessary using a two-step analysis viz. the organizational imperatives and the competency analysis of the tools deployed towards improvement of former. It was noted that Robotics and Computer-aided design/ computer-aided manufacturing are being fruitfully utilized in manufacturing industry of Punjab. The analysis deployed Reliability analysis including measuring of reliability coefficient, testing of mean difference using ANOVA, descriptive testing and student t-test for the analysis of filled questionnaires. From the investigation, it emerges out that clarity in goals of AMTs is essential for every employee in the organization.


2014 ◽  
Vol 1039 ◽  
pp. 562-568
Author(s):  
Natalia Iakymenko ◽  
Erlend Alfnes ◽  
Maria Kollberg Tomassen

Manufacturing companies rely on advanced manufacturing technologies (AMT) in order to increase their competitive position in global markets. Successful implementation of AMT depends greatly on justification tools. The availability of a large amount of tools with varying complexity makes it difficult for managers to choose the most appropriate ones. This study investigates application of various justification tools for different levels of AMT integration. The results are presented in a framework for AMT justification tools selection that could be used by managers. The research also suggests further research directions.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Xiaodie Pu ◽  
Meng Chen ◽  
Zhao Cai ◽  
Alain Yee-Loong Chong ◽  
Kim Hua Tan

PurposeThis study aims to examine the impact of lean manufacturing (LM) on the financial performance of companies affected by emergency situations. It additionally explores the role of advanced manufacturing technologies (AMTs) in complementing LM to enhance financial performance in emergency and non-emergency situations.Design/methodology/approachBoth survey and archival data were collected from 219 manufacturing companies in China. With longitudinal data collected before and after an emergency situation (i.e. Typhoon Rumbia), regression analysis was conducted to investigate the effects of LM and AMTs on financial performance in different contexts.FindingsOur results reveal an inverted U-shaped relationship between LM and financial performance in the context of emergency. We also found that AMTs exerted a positive moderation effect on the inverted U-shaped relationship, indicating high levels of AMTs that mitigated the inefficiency of LM in coping with supply chain emergencies.Research limitations/implicationsThrough simultaneous investigation of LM and AMTs as bundles of practices and their fit with different contexts, this study takes a systems approach to fit that advances the application of contingency theory in the Operations Management literature to more complex patterns of fit.Originality/valueThis study illuminates how AMTs support LM practices in facilitating organizational performance in different contexts. Specifically, this study unravels the interaction mechanisms between AMTs and LM in influencing financial performance in emergency and non-emergency situations.


2020 ◽  
Vol 4 (10) ◽  
pp. 21-24
Author(s):  
T. K. NAPLYOKOVA ◽  

The article shows that the nature of manufacturing technologies has changed significantly over the past three decades due to the introduction of advanced manufacturing technologies. As the complexity, scale and organizational role of advanced manufacturing technologies increases, maintaining these technologies be-comes critical to an enterprise's ability to compete. To be efficient in the manufacturing industry, quality and maintenance must be viewed as strategic issues in factories, and in order to make its proper contribution to profit, productivity and quality improvement, it must be recognized as an integral part of an enterprise’s man-ufacturing strategy. Therefore, one of the existing quality initiatives to achieve competitiveness is the contin-uous improvement of production technologies.


2019 ◽  
Vol 34 (3) ◽  
pp. 651-663
Author(s):  
Jon Charterina ◽  
Andrés Araujo

PurposeThe purpose of this paper is to determine to what extent small sized and periphery-located firms compensate the comparative disadvantages of big centrally located firms, through patent ownership agreements with other agents, notably research institutes.Design/methodology/approachThe authors develop an empirical study of patents from two completely different economic areas, a central and a peripheral one, represented by Germany and Spain, respectively, in the domain of the Key Enabling Technology (KET) of advanced manufacturing technologies in robotics and automation. Comparing the population of 211 Spanish patents granted with a random sample of 500 German patents, from the files of the US Patent and Trademark Office, the authors obtain and test a series of logistic regression functions taking the predicted possibilities to develop patents with more citations, as a proxy for their value.FindingsWhereas big companies from central locations do not obtain more heavily cited patents from sharing their R&D activity with other firms or research institutes, smaller manufacturing firms in peripheral areas, namely, Spain, may find this advantageous. Additionally, patents containing fewer cited articles and citations of previous patents, tend to be cited more frequently. Finally, this same outcome is also observed with patents showing shorter time between the application and grant.Originality/valueTo the best of the authors’ knowledge, this is the first study on patent value which examines the KET of advanced manufacturing technologies in robotics and automation, comparing a central to a peripheral geographic environment, and determining the number, diversity and size of patent assignees. The results prove relevant in general for manufacturing businesses, especially in the Machine-Tool and machinery producing industry. Overwhelmingly, these firms tend to be SMEs basing their marketing activity entirely on a Business-to-Business (B2B) focus, and facing serious obstacles for R&D activity.


2017 ◽  
Vol 24 (1) ◽  
pp. 62-101 ◽  
Author(s):  
Balkrishna Eknath Narkhede

Purpose The purpose of this paper is to assess the implications of organizational knowledge, source of information and functional orientation, resource-based view of the manufacturing and global orientation, on manufacturing practices which include advanced manufacturing strategies. Design/methodology/approach An empirical study approach has been used to assess the implications of advanced manufacturing strategies on firm performance. Findings This paper provides a framework for managers to: assess competitive priorities of the industry; identify order winners for the industry; identify key decision areas or practices for improvements; and to assess the role of implications of organizational knowledge on the manufacturing practices. Research limitations/implications The limitations are as follows: the issue of organizational knowledge and learning is assessed from manufacturing view point only; plants located all over India are considered for study; and considers plants employing different manufacturing systems and products. Practical implications Saturated with the conventional manufacturing technologies, a growing number of small- and medium-scale industries began to explore advanced manufacturing technologies (AMTs). Investment in AMTs remains a promising but potentially risky venture. This paper helps the small- and medium-scale industries to adopt viable AMTs and business performance strategies and then provides guidelines for enhancing their competitiveness. Social implications This paper may help all the stakeholders of small- and medium-scale industry. Originality/value This paper is based on one of the few studies conducted to assess the implications of advanced manufacturing strategies on firm performance in Indian scenario.


2018 ◽  
Vol 56 (2) ◽  
pp. 488-507 ◽  
Author(s):  
Corrado lo Storto

Purpose The purpose of this paper is to propose a methodological framework that combines several data envelopment analysis (DEA) models to deal with the problem of evaluating and ranking advanced manufacturing technologies (AMTs) without introducing any subjectivity in the analysis. Design/methodology/approach The methodology follows a two-phase procedure. First, the relative efficiency of every technology is calculated by implementing different DEA cross-efficiency models generating the same number of high-order indicators as efficiency vectors. Second, high-order indicators are used as outputs in a SBM-DEA super-efficiency model to obtain a comprehensive DEA-like composite indicator. Findings The framework is implemented to evaluate a sample of flexible manufacturing systems. Comparing it to other methods, results show that the methodology provides reliable information for AMTs selection and effective support to management decision-making. Originality/value This paper contributes to the body of knowledge about the utilization of DEA to select AMTs. The framework has several advantages: a discriminating power higher than the basic DEA models; no subjective judgment relative to weights necessary to aggregate single indicators and choice of aggregation function; no need to perform any transformation normalizing original data; independence from the unit of measurement of the DEA-like composite indicator; and great flexibility and adaptability allowing the introduction of further variables in the analysis.


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