The need for worker training in advanced manufacturing technology (AMT) environments: A white paper

Mital, Anil; Pennathur, Arunkumar; Huston, Ronald L.; Thompson, David W.; Pittman, Margaret; Markle, Glenn C.; Kaber, David B.; Crumpton, Lesia L.; Bishu, Ram R.; Rajurkar, K. P.; Rajan, Venkat N.; Fernandez, Jeffrey E.; McMulkin, Mark L.; Deivanayagam, S.; Ray, Paul S.; Sule, Dileep R.

doi:10.1016/s0169-8141(98)00024-9

Cited by 54 publications

(25 citation statements)

References 33 publications

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“…Mital et al [32] emphasised that worker training is necessary to take full advantage of AMT. In addition to the automation of process, agile manufacturing also emerged to provide cost-effective products promptly.…”

Section: Figure 4: the Five Eras Of Manufacturing Productivitymentioning

confidence: 99%

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An Empirical Analysis of Issues and Trends in Manufacturing Productivity Through a 30-Year Literature Review

Lee

Leem

2016

SAJIE

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This paper analysed the keywords in manufacturing productivityrelated studies over the last 30 years to consider the change in the concept of 'productivity', a longstanding and important factor in studies about manufacturing. After first identifying 110,269 keywords in related research through 11,237 academic papers, we narrowed them down to 97 in nine categories by applying certain criteria. Most of the previous studies dealt with productivity in the context of corporate data; but this study investigated the change in the concept of manufacturing productivity by analysing the keywords of many studies of this concept. We classified the 30 years from 1980 to 2009 into five eras of productivity, according to their representative characteristics, using the analysed keywords. We expect that this study will serve as a practical guideline for managers in industry, and as an academic foundation for future research into productivity. OPSOMMINGDie sleutelwoorde in die navorsingstudies oor vervaardigingsproduktiwiteit oor die afgelope dertig jaar is geanaliseer om die verandering in die definisie van produktiwiteit as konsep te verstaan. Nadat 110,269 sleutelwoorde in 11,237 navorsingsartikels geïdentifiseer is, is die sleutelwoorde verminder tot 97 wat in nege kategorieë gesorteer is. Dit is gedoen deur sekere kriteria toe te pas. Die meeste van die vorige studies het met produktiwiteit gehandel binne die konteks van korporatiewe data, maar hierdie studie ondersoek die verandering in die konsep van vervaardigingsproduktiwiteit deur die sleutelwoorde van studies oor hierdie konsep. Die tydperk van 1980 tot 2009 is in vyf eras van produktiwiteit geklassifiseer. Die verwagting is dat hierdie studies kan dien as 'n praktiese riglyn vir bestuurders in die industrie en as 'n akademiese grondslag vir toekomstige navorsing oor produktiwiteit.

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Section: Figure 4: the Five Eras Of Manufacturing Productivitymentioning

confidence: 99%

“…Labour could contribute to the improvement of an organisation's productivity. Mital et al [32] emphasised that, to increase the effectiveness of utilities and technologies in an AMT production system, worker training would be necessary, and that it could enhance a nation's competitiveness.…”

Section: Labour and Costmentioning

confidence: 99%

An Empirical Analysis of Issues and Trends in Manufacturing Productivity Through a 30-Year Literature Review

Lee

Leem

2016

SAJIE

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“…A large number of authors have targeted this problem and have tried to provide the better solutions. The major contributions are: Attaran, 1989;Badiru, 1990;Baldwin, et al, 2002;Baldwin, et al, 1995;Beatty, 1990;Boyer, 1994;Boyer, et al, 1996;Burcher, et al, 1999;Chen, et al, 1994;Chen, et al, 1996;Co, et al, 1998;Costa, et al, 2009;Dangayach, et al, 2005;Dangayach, et al, 2003;Dangayach, et al, 2004;David, et al, 1996;Dean, et al, 1990;Dimnik, et al, 1993;Efstathiades, et al, 1999;Frohlich, 1998;Fulton, et al, 2010;Ghani, et al, 2002;Kunnathar, 2000;Machuca, et al, 2004;McDermott, et al, 1999;Mital, 1999;Naik, et al, 1992;Percival, 2004;Rahman, 2008;Raj, et al, 2007;Raj, et al, 2008;Raj, et al, 2010;Ramamurthy, 1995;Roth, et al, 1991;Saberi, et al, 2010;Sambasivarao, et al, 1994;Sa´ nchez, 1996;Schroder, et al, 1999;Shani, et al, 1992;Singh, et al, 2007;Small, et al, 1997;…”

Section: Effectiveness Of Amsmentioning

confidence: 99%

A comprehensive bibliography on effectiveness measurement of manufacturing systems

Goyal¹,

Grover²

2012

ijiec

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Globalization has put fierce competition for manufacturing managers in terms of flexibility, smaller lead times, competitive costs, etc. To attain these capabilities, manufacturing managers are taking heedless decisions for investing in advanced manufacturing technologies, without measuring their actual effectiveness for their organisations. There is a need to measure the effectiveness of manufacturing systems to make better future policies and investment planning. This paper provides a comprehensive bibliography on the techniques and their rationale in the effectiveness measurement of advanced manufacturing systems. The paper cites 265 articles from a variety of published sources. The list contains published research mainly from 1990 to 2012 and a selected published work prior to 1990.

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“…Manufacturing system designs often include production methods that combine both human labour and mechanistic processes (Buxey, 1982;Womack et al, 1990;Das, 1999;Mital et al, 1999). Most modern technical systems are still reliant on human skills and cognitions (Badham, 1991;McEwan & Sackett, 1998;MacCarthy et al, 2001;Kontogiannis and Kossiavelou, 1999).…”

Section: The Impact Of Workers On Manufacturing System Performancementioning

confidence: 99%

An investigation of production workers’ performance variations and the potential impact of attitudes

Fletcher

Baines

Harrison

2006

Int J Adv Manuf Technol

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In most manufacturing systems the contribution of human labour remains a vital element that affects overall performance and output. Workers' individual performance is known to be a product of personal attitudes to work. However, in current system design processes worker performance variability is assumed to be largely insignificant and the potential impact of their attitudes is ignored. This paper describes a field study that investigated the extent to which workers' production task cycle times vary and the degree to which such variations are associated with attitude differences. Results show that worker performance varies significantly, much more than is assumed by contemporary manufacturing systems designers and that this appears to be due to production task characteristics. The findings of this research and their implications are discussed.

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The need for worker training in advanced manufacturing technology (AMT) environments: A white paper

Cited by 54 publications

References 33 publications

An Empirical Analysis of Issues and Trends in Manufacturing Productivity Through a 30-Year Literature Review

An Empirical Analysis of Issues and Trends in Manufacturing Productivity Through a 30-Year Literature Review

A comprehensive bibliography on effectiveness measurement of manufacturing systems

An investigation of production workers’ performance variations and the potential impact of attitudes

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