Affiliation:
1. Department of Mechanical Engineering, Faculty of Engineering, Universiti Malaya, Kuala Lumpur 50603, Malaysia
Abstract
The high-mix, low-volume (HMLV) industry has seen growth in the need for product customisation with research to increase manufacturers’ flexibility for the variation in market demands. This paper reviews 152 documents from 2000 to October 2022, discussing work related to HMLV production. From an industrial perspective, this paper analyses the industries with HMLV, revealing production sectors and research areas, categorising the developed work, type of validation, and applications. The results show that most work is not industry-specific, with production planning as the central aspect of the research. While other parts of the production processes and value chain received less attention, the semiconductor and electronics industries are the two most researched with substantial validation, leaving gaps in other industries. Earlier work primarily focused on the theoretical development of production planning; however, the development of Industry 4.0 technologies advocates decision support systems for reactive production planning. This period sees the rise in robotics and automation, with improved robotics capability and human—robot collaboration. Assembly assistance systems were developed for manual production to aid operators in managing the variety of information. This paper serves as a reference for the HMLV manufacturing industry in a structured manner while identifying potential for future research in this field.
Funder
University Malaya
Universiti Malaya IPPP—Research Maintenance Fee
Subject
Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science
Reference131 articles.
1. Bayesian based methodology for the extraction and validation of time bound failure signatures for online failure prediction;Shahzad;Reliab. Eng. Syst. Saf.,2017
2. Adopting a circular open-field layout in designing flexible manufacturing systems;Alduaij;Int. J. Comput. Integr. Manuf.,2020
3. Efficient material allocations in high-mix low-volume manufacturing;Ali;J. Adv. Manuf. Syst.,2010
4. Ali, S.A., Nikolaidis, E., and Seifoddini, H. (2006, January 22–24). Manufacturing Systems Uncertainty Modeling and Prediction for Scheduling Optimization. Proceedings of the IIE Annual Conference, Norcross, GA, USA.
5. Alnahhal, M., Ahrens, D., and Salah, B. (2021). Modeling Freight Consolidation in a Make-to-Order Supply Chain: A Simulation Approach. Processes, 9.
Cited by
9 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献