Cited by 3ERP Systems Implementation and ImpactDigital Transformation in IndustryManagement and Optimization Techniques

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Process Re-design and Automation Using Enterprise Resource Planning System for Manufacturing Industry

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Anjum, Khansa, Mirza, Jahanzaib, ur-Rashid, Tanzeel, Wakeel, Aneela·2023·MATEC Web of Conferences

Abstract

In the era of Industry 4.0, automation is the backbone for any industry to grow and sustain. Many studies suggest that ERP system helps industries to integrate and automate most of the business processes, enhance production efficiency and financial performance. However, the manufacturing industries with make-to-order business model are struggling with production planning and control systems. The aim of this research is to provide solution for overcoming the problems of late order deliveries, cost overruns and limitation of communications and information flow associated with production planning and control in manufacturing industries. A qualitative case study in a steel parts manufacturing industry is conducted to understand and analyze the prevailing problems and processes. Based on observations, a business model is proposed by re-designing according to standard practices of ERP system, then ERP System is selected and designed according to the case industry requirements. This paper mainly focuses on implementation of the Manufacturing module. To verify and analyze the impact of automation, data is collected from case industry for implementation and execution in ERP System. After implementation, significant reduction of production wastages in terms of paperwork, time and error is observed, saving the costs and time related to these wastages. Hence, it is found that ERP System contribute in improving production planning and control system for case industry by ensuring timely delivery and cost control due to better production planning and monitoring and provide real-time visibility of data and information, enhancing business performance.

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Research works printed but not linked: 15

  1. Hietala, 2021, Procedia Computer Science, 181, 419, 10.1016/j.procs.2021.01.186 · DOI · Paper page
  2. Samaranayake, 2009, Business Process Management Journal, 15, 504, 10.1108/14637150910975516 · DOI
  3. Wieder, 2006, Journal of Enterprise Information Management, 19, 13, 10.1108/17410390610636850 · DOI
  4. Elragal, 2011, Communications of the IBIMA, 2011, 19
  5. Uçaktürk, 2013, Procedia-Social and Behavioral Sciences, 99, 1035, 10.1016/j.sbspro.2013.10.577 · DOI
  6. Handayani, 2013, Journal of Computers, 8, 2437, 10.4304/jcp.8.9.2437-2441 · DOI
  7. AlMuhayfith, 2020, Journal of Open Innovation : Technology, Market, and Complexity, 6, 87, 10.3390/joitmc6030087 · DOI
  8. Fernandez, 2017, Procedia Computer Science, 111, 31, 10.1016/j.procs.2017.06.006 · DOI · Paper page
  9. Lee, 2009, International Journal of Engineering Business Management, 1, 19
  10. Madanhire, 2016, Procedia CIRP, 40, 225, 10.1016/j.procir.2016.01.108 · DOI · Paper page
  11. Amare T., Singh B., Kabata G. and Bhaskaran J., Improvement Analysis of Production Planning and Control System, in Journal of Industrial Engineering & Management, 10(3), 17 March 2021 (2021)
  12. Lu F., Yang A., Research on production planning and Control optimization of C Company, in Journal of Industrial Engineering and Innovation Management, 3(2), 109–114, Canada (2020)
  13. Syreyshchikova, 2020, Procedia Manufacturing, 46, 525, 10.1016/j.promfg.2020.03.075 · DOI
  14. Limantara N., Jingga F., Open source ERP : ODOO implementation at micro small medium enterprises :(A case study approach at CV. XYZ in module purchasing and production), in International Conference on Information Management and Technology (ICIMTech), 340–344, Published by IEEE, 15-17 November 2017, Indonesia (2017) · DOI
  15. Prasnowo M. A., Purwanto R., Sugiarto A., Romadhon A. H., Rokhmawan T., Aulia V., … Winarni S., Designing odoo ’s enterprise resource planning (ERP) in micro, small and medium enterprises (MSMEs), in Journal of Physics : Conference Series, 1175, No. 1, p. 012202), 319–324, IOP Publishing, March 2019 (2019) and 1st International Conference on Advance and Scientific Innovation, 23-24 April 2018, Medan, Indonesia (2018)

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Metadata

Authors
Anjum, K., Mirza, J., ur-Rashid, T., & Wakeel, A.
Affiliations
University of Engineering and Technology Taxila (PK)
Venue
MATEC Web of Conferences
Publisher
EDP Sciences
Published
2023
Volume
381
Pages
01013
ISSN
2261-236X (ISSN-L)
OpenAlex
W4380485733
Cited by
3
References
0
Citations by year
2025: 1 · 2024: 1 · 2023: 1
FWCI
1.87
Type
conference paper
Language
en
Open access
Locations
  • MATEC Web of Conferences (publishedVersion, cc-by)
  • Springer Link (Chiba Institute of Technology) (submittedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Topics
  • Social Sciences › Business, Management and Accounting › Management Information Systems › ERP Systems Implementation and Impact
  • Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
  • Social Sciences › Business, Management and Accounting › Strategy and Management › Management and Optimization Techniques
Keywords
enterprise resource planning, ERP implementation, manufacturing automation, production planning and control, make-to-order production, cost control, Industry 4.0

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CoChat. (2026). Citation check: Process Re-design and Automation Using Enterprise Resource Planning System for Manufacturing Industry. https://app.cochat.ai/papers/10.1051/matecconf/202338101013
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Anjum, K., Mirza, J., ur-Rashid, T., & Wakeel, A. (2023). Process Re-design and Automation Using Enterprise Resource Planning System for Manufacturing Industry. MATEC Web of Conferences. https://doi.org/10.1051/matecconf/202338101013