Computer-aided design of experiments: an enabler of agile manufacturing

Vinodh, S.; Sundararaj, G.; Devadasan, S.R.; Kuttalingam, D.; Rajanayagam, D.

doi:10.1007/s00170-008-1903-9

Cited by 5 publications

(2 citation statements)

References 28 publications

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“…Zain et al (2005) conducted a study to know how IT contributes to organizational agility in Malaysia. Vinodh et al (2009) investigated the synergic power of design of experiment (DOE) and Computer aided design (CAD) to achieve agility in the traditional manufacturing organization. Wang and Lin (2009) developed an agile manufacturing planning and control system by integrating Radio Frequency Identification (RFID) techniques and multi-agent system (MAS) to respond to a dispersed and dynamic manufacturing system.…”

Section: Development Of Frameworkmentioning

confidence: 99%

A combined AHP and TOPSIS approach for prioritizing the attributes for successful implementation of agile manufacturing

Kumar

Singh

Jain³

2020

IJPPM

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PurposeThe concept of agile manufacturing is becoming critically important to manufacturing industry due to rapid industrialization, fluctuating customer demand, and turbulent business environment. The aim of this study is to prioritize the attributes for successful implementation of agile manufacturing using a combined analytical hierarchy process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) approach in Indian manufacturing industry.Design/methodology/approachThe current study identifies eight agile manufacturing attributes through literature review and discussion with subject experts. The experts from different manufacturing industry have been asked to provide data for pairwise comparison of attributes. Afterward, an integrated AHP and TOPSIS approach is employed. The AHP is used to drive the priority weights of the attributes, and TOPSIS is used for prioritizing the attributes for successful implementation of agile manufacturing.Findings“Information technology,” “human resource management-related issues,” “customer-related issues,” “leadership support,” and “organizationalc related-issues” have been ranked as the top five significant and contributing attributes, which can pave the path for top management to concentrate on the critical areas and allocate significant resources to ensure successful implementation of agile manufacturing.Originality/valueThis research integrates AHP and TOPSIS to prioritize the attributes for successful implementation of agile manufacturing, which are further validated by comparing the ranks obtained through respective approach and sensitivity analysis.

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Section: Development Of Frameworkmentioning

confidence: 99%

A combined AHP and TOPSIS approach for prioritizing the attributes for successful implementation of agile manufacturing

Kumar

Singh

Jain³

2020

IJPPM

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“…Thakur & Jain (2008) explores the issues of measurement and comparison of the current state of advanced manufacturing technology (AMT) adoption in India, including important information technology (IT) factors. S. Vinodh et al (2009) study revealed that CADOE (computer aided design & design of experiment) would facilitate time compression and enhance accuracy, which are the major enablers of achieving Agile Manufacturing.…”

Section: Literature Review In Indian Contextmentioning

confidence: 99%

Manufacturing strategy issues in selected Indian manufacturing industry

Singh¹,

Basak²,

Singh³

2013

msl

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This paper presents some findings of Indian manufacturing sectors viz. automobile (especially two-wheeler), tractor and general manufacturing industry. Various manufacturing strategy issues such as competitive priorities, improvement activities, and performance measures, have been identified and assessed in Indian context. Sector wise comparison of competitive priorities, improvement activities i.e. advanced manufacturing technology (AMT), integrated information systems (IIS), and advanced management systems (AMS), and performance measure, is provided. Our results show that most of the Indian companies are still emphasizing on quality. However, automobile sector has set to compete globally with high innovation rate, faster new product development, and continuous improvement. It is also observed that Indian companies are investing more in AMS as compared to IIS and AMT. Manufacturing competence index is also computed for each sector.

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