A Scientometric Analysis of the Capacity Expansion and Planning Research

Numerous technoeconomic factors have had a considerable impact on the industrial and service sectors. The best uses of production and service resources have been a main research area. Capacity planning, which aims at the optimum utilization of resources, has attracted a lot of scholarly attention. To the best of our knowledge, however, there has never been a scientometric analysis published on this subject; as a result, the goal of this article is to provide the first such analysis. The goal of this study is to gain a thorough structural view of the background and important facets of capacity expansion and planning research. The Web of Science database, VOSviewer, and CiteSpace software are used to give an overview. Our research indicates that after the year 2000, the publication rate increased significantly. Applications for capacity planning can be divided into eight main groups based on the authors' keyword analysis. We also list both well-known and underutilized modeling and solution methods. Recent applications, research trends, and some omissions are highlighted in this study. Leading contributing countries, institutions, and the most common research outlets are mapped and analyzed. Finally, some potential future research topics are suggested

Automated summary

This article aims to provide a comprehensive structural view of the background and important aspects of capacity expansion and planning research through scientometric analysis. The study finds that the publication rate significantly increased after the year 2000, and the applications for capacity planning can be categorized into eight main groups based on keyword analysis. The article also highlights recent applications, research trends, and omissions, as well as mapping and analyzing leading contributing countries, institutions, and research outlets. Additionally, potential future research topics are suggested.