Productivity Betterment: Implementation of Clustering with Improved Tooling in Manufacturing

Productivity Betterment: Implementation of Clustering with Improved Tooling in Manufacturing

Satbir Singh (Ambala College of Engineering and Applied Research, Ambala, India) and Sandeep Singhal (National Institute of Technology Kurukshetra, Kurukshetra, India)
DOI: 10.4018/IJPMAT.2018070101


This article describes how instant research explicates the features, analogy, and principles, of manufacturing productivity management in contemporary industrial arenas. It is exceedingly necessary to increase manufacturing production to improve productivity of the company. Current research provides a substitute way-out to optimize the material and workforce resources available in the plant. The authors proposed the implementation of clustering concept with improved tooling for manufacturing. The intended approach stimulated productivity growth by using improved production facilities, which resulted in reduced monthly rejections arising out of manufacturing's critical component. Component production cost was reduced through the use of curbing cycle time. The implementation study magnificently contributed towards productivity enhancement by producing more with less resource input. The experimentation recorded an increase of over16% in monthly production by dint of curtailed cycle time. An average gain of 5.27% in total productivity was achieved.
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Concept and Scope of Productivity

Productivity is a performance paradigm illustrating the transformation of available materials and workforce resources into essential goods and services within a company or organization. Economic development could be vigorously attainable as a result of stimulated production with a higher level of productivity in the business arena. “Productivity” has metamorphosed into such a universal and familiar word that, as a whole, everyone recognizes it. In spite of that, this word has ramified significance to different persons. The scope of productivity modifies from person to person and performance to progress. People utilize it in the form of measured output, turnover rates, consumer reconcilement, workflow measurement, and intangibles, such as commitment, team spirit, and job complacency. According to European Productivity Council (EPC), productivity, expressed as the human endeavor to produce significantly using smaller input resources; resultantly, a large number of people share the benefit of production. Productivity reconciles economic and social life to altering conditions. Productivity cultivates an essential balance among isolated factors of production activity, resulting in a final output while expending the least amount of effort (Drucker, 2010). Productivity increases if the equivalent output is brought up with comparably smaller inputs. The difference between aggregate output and summation of intermediate paraphernalia, plus services purchased, is known to be net output. The proportion of total production to the sum of the entire inputs is termed as overall productivity by the International Labor Organization (ILO). Productivity assessment is the ratio of output brought up to the resources spent. Evaluation of overall productivity reflects the incorporated impact of the entire contributions needed in preparing the required output.


The technique or concept of performing a bunch of manufacturing operations in a specialized setting, i.e., in a mutually shared working plane on a machine to contribute a reduction in idle time viz. loading-unloading/setting time is known to be clustering.

Literature Review

Current Research Status

Productivity analysis and measurements have received considerable emphasis in recent years. However, limited observation is focused on optimum productivity. Productivity planning is a complicated activity due to restrictions imposed by the extreme diversity of manufacturing. Many researchers have submitted extensive work on productivity analysis and measurement. Even so, a great amount of research work is being performed to optimize available resources. Still, enormous research work on productivity analysis and measurement needs to be executed.

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