Model for Research into the Factors Influencing the Effective Planning and Management of Production Capacity

Keywords: effective planning and management, production capacity, factors, self-interaction matrix, interpretive, structural modeling

Abstract

In today's dynamic business environment, the success and competitiveness of any production organization is ensured by continuous improvement, sustainable development, effective planning and management. There is a growing scientific interest in the importance and relevance of production management in view of the strong need to redefine the policies and priorities within the respective strategic plan for business development - with increased focus on capacity planning in order for the industrial enterprises to adapt successfully to the dynamically changing conditions of the global environment and intense competition. Accordingly, full advantage is taken from the ample opportunities to study the impact of a number of factors on capacity planning and management. Based on an in-depth literature analysis, interviews and surveys, selected were 18 key factors  that have a profound influence on the effective planning and capacity management of the production organization. Using  the relationship between each of these factors and the capacity management is closely examined by applying the method of Interpretive Structural Modeling (ISM). Additionally, the interrelationships between the key factors under study are further analyzed by means of a Structural self-interaction matrix (SSIM).

References

Ahire, L.S., & O’Shaughnessy, K. (1998). The role of top management commitment in quality management: an empirical analysis of the auto parts industry. International Journal of Quality Science, 3(1), 5-37.
Crossref


Attri, R., Dev, N., Sharma, V. (2013). Interpretative Structural Modelling (ISM) approach: An Overview, Res. J. Management Sci., 2319(2), 1171.
Google Scholar


Chase, R.B. & Zhang, A (1998), "Operations management: internationalization and interdisciplinary integration", International Journal of Operations & Production Management, 18(7), 663-667. 
Crossref


Dima, I. C. (Ed.). (2013). Industrial production management in flexible manufacturing systems. IGI Global. (pp 41-45).
Crossref


Frost, P. J., Moore, L. F., Louis, M. R. E., Lundberg, C. C., & Martin, J. E. (1985). Organizational culture. Sage Publications, Inc.
Google Scholar


Gupta, S., & Starr, M. K. (2014). Production and operations management systems. Boca Raton, FL: CRC Press. (pp 134-136).
Crossref


Krishnaswamy, K. N., Sivakumar, A. I., & Mathirajan, M. (2006). Management research methodology: Integration of principles, methods and techniques. Pearson Education India. (pp 91-92).
Google Scholar


Makedonska, D., Dimitrov, Iv. (1997). Production Management. Varna. (pp 75- 78).


Nel, W. (2nd ed., 2006). Management for engineers, technologists and scientists. Juta and Company Ltd.
Google Scholar


Panayotova, T. (2004). Modeling of organizational relations in the development of complex project tasks in the conditions of Competitive Engineering. Abstract of a PhD dissertation


Sage, A. (1977). Interpretive Structural Modelling: Methodology for Large-scale Systems. New York, NY: Mc Graw-Hill, pp 91-164.  
Google Scholar


Schimitzek, P. (2004). The Efficient Enterprise: Increased Corporate Success with Industry-Specific Information Technology and Knowledge Management. CRC Press.
Google Scholar


Sharpe, M.E. (1979). Problems of Economics. (pp 4-5).


Swamidass, P. M. (Ed.). (2000). Encyclopedia of production and manufacturing management. Springer Science & Business Media.
Crossref


Bartels, J., Peters, O., de Jong, M., Pruyn, A., & van der Molen, M. (2010). Horizontal and vertical communication as determinants of professional and organisational identification. Personnel Review.
Crossref


Behl, A., & Pal, A. (2020). Interpretive Structural Modeling: Background, Concepts, and Application. In Multi-Criteria Decision Analysis in Management (pp. 1-27). IGI Global.
Crossref


Brönner, M., Wolff, S., Jovanovic, J., Keuthen, K., & Lienkamp, M. (2020). Production Strategy Development: Simulation of Dependencies Using Recurrent Fuzzy Systems. Systems8(1), 1.
Crossref


Burns, O. M., Turnipseed, D., & Riggs, W. E. (1991). Critical success factors in manufacturing resource planning implementation. International Journal of Operations & Production Management.
Google Scholar


DuBrin, A. J.  (8th ed. 2008). Essentials Of Management. Cengage Learning, USA


Olhager, J. (2013). Evolution of operations planning and control: from production to supply chains. International journal of production research51(23-24), 6836-6843.
Crossref


Radojičić, M., Vasović, J. ,  Paunović, Vl., & Nesic, Z. (2016). An analysis of capacity utilization in industrial production in function of rational resource use.
Crossref


Shimizu, K., & Hitt, M. A. (2004). Strategic flexibility: Organizational preparedness to reverse ineffective strategic decisions. Academy of Management Perspectives18(4), 44-59.
Crossref


Umble, E. J., Haft, R. R., & Umble, M. M. (2003). Enterprise resource planning: Implementation procedures and critical success factors. European journal of operational research146(2), 241-257.
Crossref


Wasif, S. M. (June 11, 2016). Standards Of Top Management Commitment. eLearning Industry. Retrieved May 21, 2016 from https://elearningindustry.com/standards-top-management-commitment.


Winroth, M., Säfsten, K., Lindström, V., Frohm, J., & Stahre, J. (2006). Automation strategies–refinement of manufacturing strategy content. In Proceeding of 17th Annual Conference of POMS: The new world uncertainties, Boston, MA, April.
Google Scholar


Schmitt, T. G., Berry, W. L., & Vollmann, T. E. (1984). An analysis of capacity planning procedures for a material requirements planning system. Decision Sciences, 15(4), 522-541.
Crossref


Total number of hits on abstract = 90 times

Downloads for 2021

Download data is not yet available.
Published
2021-06-11
How to Cite
Dimitrova, K., Panayotova, T., & Veleva, N. (2021, June 11). Model for Research into the Factors Influencing the Effective Planning and Management of Production Capacity. ANNUAL JOURNAL OF TECHNICAL UNIVERSITY OF VARNA, BULGARIA, 5(1), 65-75. https://doi.org/10.29114/ajtuv.vol5.iss1.237
Bookmark and Share