Optimisation of Manufacturing Processes with the Help of Work Measurement Techniques (MOST) – A Case Study

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Nitish Kumar
Nitish Kumar
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Aditya Raj
Aditya Raj

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Optimisation of Manufacturing Processes with the Help of Work Measurement Techniques (MOST) – A Case Study

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Abstract

Productivity” in the modern era has become a common term in any sector. Increasing productivity and better use of human and other resources have become a basic need for the development and survival of any organisation. Similarly, in the industrial sector, it holds a very important place. For the enhancement of productivity, targeting the processes and various operations/activities underlying those processes is one of the best ways. This can be achieved by the reduction in non-value-added activities and by developing time standards for the improvement of the processes. Various work measurement techniques can be used to analyse the time being used to perform an operation and critical analysis of them can help in deciding the standard time for a single operation. This study was done to determine the effects of these work measurement techniques on an operation. The study uses detailed activity analysis techniques like micro-motion study and for setting time standards it uses a predetermined motion time systems (PMTS) technique called Maynard Operation Sequence Technique (MOST).

References

8 Cites in Article
  1. K Zandin (2002). MOST Work Measurement Systems.
  2. C Kothari (2013). Multilingual dictionary of IT security - Main section. English - German - French - Spanish - Italian.
  3. N Silva,J Leite (2019). MOST as a tool to Support the Deployment of New Manufacturing Products.
  4. Raj Kumar,Parveen Kalra,Suman Kant (2019). Productivity enhancement of assembly line by using Maynard operation sequence technique after identification of lean wastages.
  5. K Zandin,H Maynard (2001). Maynard's Industrial Engineering Handbook.
  6. Vivek Deshpande (2007). Discussant: Jayant Deshpande.
  7. M (2014). Technique for detecting vertical prestress based on vibration principle.
  8. A Karad,K Nikhil,G Nitesh,Tidke (2016). Issue information.

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Nitish Kumar. 2026. \u201cOptimisation of Manufacturing Processes with the Help of Work Measurement Techniques (MOST) – A Case Study\u201d. Global Journal of Research in Engineering - J: General Engineering GJRE-J Volume 22 (GJRE Volume 22 Issue J3): .

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Highly detailed research on optimizing manufacturing techniques using measurement tools.
Journal Specifications

Crossref Journal DOI 10.17406/gjre

Print ISSN 0975-5861

e-ISSN 2249-4596

Keywords
Classification
GJRE-J Classification: FOR Code: 091599
Version of record

v1.2

Issue date

September 12, 2022

Language
en
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Productivity” in the modern era has become a common term in any sector. Increasing productivity and better use of human and other resources have become a basic need for the development and survival of any organisation. Similarly, in the industrial sector, it holds a very important place. For the enhancement of productivity, targeting the processes and various operations/activities underlying those processes is one of the best ways. This can be achieved by the reduction in non-value-added activities and by developing time standards for the improvement of the processes. Various work measurement techniques can be used to analyse the time being used to perform an operation and critical analysis of them can help in deciding the standard time for a single operation. This study was done to determine the effects of these work measurement techniques on an operation. The study uses detailed activity analysis techniques like micro-motion study and for setting time standards it uses a predetermined motion time systems (PMTS) technique called Maynard Operation Sequence Technique (MOST).

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Optimisation of Manufacturing Processes with the Help of Work Measurement Techniques (MOST) – A Case Study

Nitish Kumar
Nitish Kumar
Aditya Raj
Aditya Raj

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