Manufacturers are becoming more and more interested in group technology because of all the ways it may boost production. In order to address problems and actions that come up frequently more swiftly and successfully, the GT technique is utilised in manufacturing. The authors show how GT improves productivity, gets rid of extra effort, and makes locating and utilising information easier. A key objective of GT is to increase productivity in the areas of manufacturing, engineering, purchasing, resource allocation, and sales. A key component of the system is the use of a code that serves as an index to characteristics across different domains.
A new product’s introduction into production may cost an additional $1,300 due to design, planning, and control costs in addition to tools and fixtures.
1 It goes without saying that a corporation might save a lot of money if it could reduce the number of new components it needs. Consider a company that releases 2,000 new components each year. The company would save between $260,000 and $2.4 million annually, assuming that 10% of these new components could be replaced with old ones. This cost-saving technique, however, depends on one crucial factor: figuring out which components may be used, with or without modification, to meet the designer’s needs. A manufacturing database built on “group technology” might be of great assistance for this identifying process.
Methods
Primary and secondary data collecting techniques, including questionnaires, interviews, personal observations, and examinations of daily records at the organisation, were used to assess the company’s implementation of GT-related concerns. Finally, the gathered data was analysed by using rank order clustering (Kings’ Methodology) in Microsoft Excel and the similarity coefficient technique.
Conclusion and Discussion
The low response rate indicates that the company is no longer using GT application and that there is a lack of information on GT’s use in industrial settings. Based on this knowledge, we will use the rank ordering clustering technique (also known as the Kings’ algorithm) to attempt to address the issues caused by the absence of GT application practises in the organisation. This section provides a ranking of the many factory-related components and machinery. After constructing the part machine matrix based on the movement of parts via machines, the further stages of the rank-ordering algorithm are executed.
The initial step in using the group technology strategy is to identify the components and put them into part families. In this study, we employed Rank-Order clustering and Single-Linkage Clustering Algorithms, however there are many more ways to classify the parts into component families. First, it employs manufacturing data, which is consistent with the data we get from factories that is process-related and includes the process of fitting components to pre-arranged machinery. Second, it accomplishes so by utilising data contained on production route sheets rather than on part drawings. By manipulating matrices that show the process plans for all the items that have been manufactured in the shop, clustering is accomplished. Popular clustering methods include:
