Capacity utilization in industrial sector: a structured review and implications for future research

Author:

Singh Mahipal,Rathi Rajeev,Singh Kaswan Mahender

Abstract

Purpose This paper aims to uncover the significance of capacity, capacity utilization (CU) and its role in the quality and productivity improvement in an industrial environment. Besides, the current study is also aiming to explore the various ways to estimate CU and its status across the world. Design/methodology/approach In the present study, a comprehensive literature review on capacity and CU is carried out to expose the research direction in the field of CU. This work is primarily focused on capacity, CU and their estimation methods based on the research in various industries of different countries and current status in present scenario across the world. Findings The literature reveals that CU estimation is carried out by some government/central agencies at the national or sector level rather than the industry level in most of the productive nations. As far as industrial growth is concerned, capacity management should be carried out at a particular industry level so that engineering managers can be able to find out loopholes for huge capacity waste within the plant. It is observed that CU in the industrial sectors mainly computed by time series method, survey method, economic approach and engineering approach worldwide. Research limitations/implications This paper tries to cover almost all research work in the field of CU in various industrial sectors. However, the organizations which are producing the product with limited demand may get benefit inadequately. Practical implications This paper provides a vision to management toward productivity improvement through optimal utilization of available resources. As in most organizations, CU issues are much neglected areas. Originality/value This paper provides valuable insights on capacity and CU in the industrial sector across the world. Besides, it focused on comprehensive literature of capacity and various methods to estimate CU in industrial sectors.

Publisher

Emerald

Subject

Electrical and Electronic Engineering,Mechanical Engineering,Mechanics of Materials,Geotechnical Engineering and Engineering Geology,Civil and Structural Engineering

Reference128 articles.

1. Aghion, P. and Burgess, R. (2014), “Liberalization and industrial performance: evidence from India and the UK”, The Future of Globalization: Explorations in Light of Recent Turbulence, available at: https://doi.org/10.4324/9780203946527

2. A study of performance measurement practices in northern Nigerian SMEs,2016

3. Analysis of economic capacity utilization in the Nigerian sugar industry (1970 – 2010);Journal of Development and Agricultural Economics,2013

4. Estimating potential GDP for the Romanian economy: an eclectic approach;Romanian Journal of Economic Forecasting,2010

5. A novel approach based on DEMATEL method and patent citation analysis for prioritizing a portfolio of investment projects;Expert Systems with Applications,2015

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3