Production Planning and Control Strategies Used as A Gear Train for The Death and Birth of Manufacturing Industries

Document Type: Original Manuscript


1 School of Mechanical and Industrial Engineering, Addis Ababa University Institute of Technology-Ethiopia and Faculty of Engineering Technische Hochschule Nürnberg Georg Simon Ohm-Germany.

2 School of Mechanical and Industrial Engineering, Addis Ababa University. Addis Ababa, Ethiopia

3 Faculty of Engineering Technische Hochschule Nürnberg Georg Simon Ohm-Germany.



This study is conducted to developed innovative production planning and control strategies to manufacturing industries so as to improve production performance and competitiveness of basic metal sectors Though the study was conducted through field observation and questioner used as primary data and literature review on research articles, books, and electronic-sources which used as secondary data. While the questioner and filed observation data collection were done from two selected Ethiopian basic metal industries. Since the collected data were employed by both using descriptive and empirical analysis. Waste in the production process, poor plant layout systems, defective products, improper material requirement planning, deficiency on control and monitoring systems, insufficient inventory control, poor workflow strategies, null warehouse management systems, problems in information systems and information management strategies were investigated as the main challenges of developing the nation basic metal industries. As a result of these challenges, the performance and global competitiveness of local basic metal industries are poor and weak. As well the literature’ finding endorse that production planning and controls have gradual advancement in developed manufacturing industries but it is found to be at its infant stage in developing manufacturing industries. Due to these challenges and weak performances on the developing firms, the entire production process on the industries was declining, and then they approach to die. Though the new product planning and controlling strategies can bridge the gap and birth will begin within proper implementations of the model to basic metal industries.

Graphical Abstract

Production Planning and Control Strategies Used as A Gear Train for The Death and Birth of Manufacturing Industries


  • Production planning and control(PPC) systems highly improve  quality performance , financial performance, performance in flexibility
  • Problems in plant lay-out , waste in manufacturing process, manufacturing planning and control, deficiency, poor  process control and monitoring systems, low production capacity, lack of smooth service and support delivery systems problems occurred due to improper implementation of PPC.
  • Proper implementing, solutions and  strategies implementing PPC Used as  simple gear train for global competitiveness of basic metal industries


Main Subjects

Academy, H. (2007). Novel Methods for Decision Support in Production Planning and Control.

Alie, B., Dametew, W., & Kitaw, D. (2017). Production Planning and Control for the Comparative ProductionPlanningandControlfortheComparativeAdvantageofBasicMetalIndustry. Global Journal of Researches in Engineering: A Mechanical and Mechanics Engineering, (July), 15.

AW, D., D, K., & F, E. (2017). The Roles of TQM and JIT For Basic Metal Industries Global Competitiveness. Industrial Engineering &Management, 06(02).

Bonney, M. (2000). Reflections on Production Planning Control (PPC). Gestão & Produção, 7(3), 181–207.

Clotet, J. F. (2015). Lean Production Planning and Control in Semi-Process Industry, (February), 77.

Dametew, A. W., & Ebinger, F. (2017). Technological Innovations as a Potential Vehicle for Supply Chain Integration on Basic Metal Industries. International Journal of Swarm Intelligence and Evolutionary Computation, 06(02).

Denkena, B., & Winter, F. (2015). Simulation-based planning of production capacity through integrative roadmapping in the wind turbine industry. Procedia CIRP, 33, 105–110.

Ezz, A., Steel, D., Ezdk, C., & Dekheila, A. (2012). Case Study : Improving Production Planning in Steel Industry in Light of Lean Principles Sameh Mohamed Fahmi and Tamer Mohamed Abdelwahab, (1999), 2489–2497.

Farzam Rad, M., & Shirouyehzad, H. (2014). Proposing an Aggregate Production Planning Model by Goal Programming Approach, a Case Study. Data Envelopment Analysis and Decision Science, 2014, 1–13.

Fernandes, F. C. F., & Godinho Filho, M. (2011). Production control systems: Literature review, classification, and insights regarding practical application. African Journal of Business Management, 5(14), 5573–5582.

Homma, T., & Ababa, A. (2010). Basic Metal and Engineering Industries ( BMEIs ): International Comparison of Policy Framework and Ethiopia ’ s Approach.

Kia, R., Javadian, N., & Baboli, A. (2011). A Comprehensive Mathematical Model for the Design of a Dynamic Cellular Manufacturing System Integrated with Production Planning and Several Manufacturing Attributes. International Journal of Industrial Engineering & Production Research.

Makarewich, C. A., Dwyer, K. W., & Cantu, R. V. (2015). Severe neurologic manifestations of fat embolism syndrome in a polytrauma patient. American Journal of Orthopedics (Belle Mead, N.J.), 44(1), E25-8.

Nieminen, J. (2014). Using TOC to increase control in a complex manufacturing environment.

Opoku, S. (2013). Optimal Production Schedule : A Case Study of Pioneer Food Cannery Limited.

Pochet, Y. (2001). Mathematical programming models and formulations for deterministic production planning problems. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2241, 57–111.

Sadeghi, A. (2008). Measuring Entrepreneurship The births and deaths of business establishments in the United States, (December).

Saharidis, G. K., Dallery, Y., & Karaesmen, F. (2006). Production Planning, 40(5), 113–128.

Wang, C., & Liu, X. B. (2013). Integrated production planning and control: A multi-objective optimization model. Journal of Industrial Engineering and Management, 6(4), 815–830.

Yang, S., Arndt, T., & Lanza, G. (2016). A Flexible Simulation Support for Production Planning and Control in Small and Medium Enterprises. Procedia CIRP, 56, 389–394.

£opatowska, J. (2015). Improving the production planning and control process. Finanse Journal of Management and Finance, 13(4).