Some Trends and Applications of Operational Research/Management Science to Operations Management

Ramón Companys Pascual, Imma Ribas
DOI: https://doi.org/10.4995/ijpme.2015.3459

Abstract

The editor suggested us to write about our point of view on the current use of Operations Research techniques applied to the Operations Management and about its future evolution. With some of unconsciousness we accept it, but it is obvious that our vision, even though we try to do our best, will be partial and biased. Hence the title chosen shows signs of prudence. More caution have been applied to the development where, after a glance at the past and reflection on the abundance of new denominations without content, we consider five aspects that, nowadays, acquire increasing importance and that will strongly influence in future developments. Among the five aspects two correspond to trends in the field of operations research techniques, one is a philosophy in the field of operations management, another to an area of the company and the last one to an industrial sector in which operations management, supported by operations research methods, is taking a predominant role.

Keywords

Operational research; Management science

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References

Abbas, A. E. (2014). Teaching decision-making with social networks. OR/MS Today, 40(6).

Ackoff, R.L. (1967). Management Misinformation Systems. Management Science, 14(4): 147-156. doi:10.1287/mnsc.14.4.B147

Ackoff, R. L., Sasieni, M. W. (1968). Fundamentals of Operations Research. Wiley

Ackoff, R. L. (1981). The art and science of mess management. Interfaces, 11(1): 20-26. doi:10.1287/inte.11.1.20

Andersen, H. Ch. (1837). Keiserens nye Klaeder.

Bloch, A. (1977). Murphy’s Law and Other Reasons why Things go Wrong. Price/Stern/Sloan Publishers

Bowman, E., Fetter, R. (1957). Analysis for Production and Operations Management. Irwin.

Brailsford, S., Vissers, J. (2011). OR in Healthcare: a European perspective. European Journal of Operational Research, 212(2): 223-234. doi:10.1016/j.ejor.2010.10.026

Brandenburg, M., Govindan, K., Sarkis, J., Seuring, S. (2014). Quantitative models for sustainable supply chain management: Developments and directions. European Journal of Operational Research, 233(2): 299-312. doi:10.1016/j.ejor.2013.09.032

Buffa, E. S. (1961). Modern Production Management. Wiley

Cheng, C., Chen, T., Chen, Y. (2014). An analysis of the structural complexity of supply chain networks. Applied Mathematical Modelling, 38(9-10): 2328-2344. doi:10.1016/j.apm.2013.10.016

Chiarini, A. (2014). Sustainable manufacturing-greening processes using specific Lean Production tools: an empirical observation from European motorcycle component manufacturers. Journal of Cleaner Production, 85(15): 226-233. doi:10.1016/j.jclepro.2014.07.080

Chopra, S., Meindl, P. (2001). Supply Chain Management. Strategy, Planning and Operation. Pearson Prentice-Hall

Dannenbring, D. G. (1977). An evaluation of flow-shop sequencing heuristics. Management Science, 23(11): 1174-1182. doi:10.1287/mnsc.23.11.1174

De Souza, L. B. (2009). Trends and approaches in lean healthcare. Leadership in Health Services, 22(2): 121-139. doi:10.1108/17511870910953788

Diaz, B. A., Tseng, F. T. (1996). Introducción a las técnicas heurísticas, in Diaz, B. A. (ed) Optimización heurística y Redes Neuronales, Paraninfo, capítulo 1: 19-36

ElMaraghy, H., Deif, A.M. (2014). Dynamic modelling of impact of lean policies on production levelling feasibility. CIRP Annals – Manufacturing Technology, 63(1): 389-392. doi:10.1016/j.cirp.2014.03.108

Forrester. J. (1961). Industrial Dynamics. MIT Press

Glover, F. (1986). Future paths for integer programming and links to artificial intelligence. Computers and Operations Research, 13(5): 533-549. doi:10.1016/0305-0548(86)90048-1

Govindan, K., Soleimani, H., Kannan, D. (2013). Reverse logistics and closed-loop supply chain: A comprehensive review to explore thefuture. European Journal of Operational Research, 240(3): 603-626. doi:10.1016/j.ejor.2014.07.012

Heckmann, I., Comes, T., Nickel, S. (2015). A Critical Review on Supply Chain Risk – Definition, Measure and Modeling. Omega, 52: 119-132. doi:10.1016/j.omega.2014.10.004

Holt, C. C., Modigliani, F., Muth, J. F., Simon, H. A. (1960). Planning Production, Inventories and Workforce, Prentice-Hall

Isik, I. (2010). An entropy-based approach for measuring complexity in supply chains. International Journal of Production Research , 48(12): 3681- 3696. doi:10.1080/00207540902810593

Karaboga, D. (2005). An idea based on honey bee swarm for numerical optimization. Technical Report-TR06, Erciyes University, Engineering Faculty, Computer Engineering Department, 10.

Maeterlinck, M. (1901). La vie des abeilles.

Magee, F. (1968). Industrial Logistics. McGraw-Hill.

Mortenson, M. J., Doherty, N. F., Robinson, S. (2015). Operational research from Taylorism to Terabytes: A Research Agenda for the Analytics Age. European Journal of Operational Research, 241(3): 583-595. doi:10.1016/j.ejor.2014.08.029

Nestler, S., Lewis, J., Klimack, B. (2012). Certified analytics professional-INFORMS prepares to launch first-of-its-kind program aimed at a variety of practicing professionals. OR/MS Today, 39(5).

Orwell, G. (1949). Nineteen Eighty-Four. Secker and Warburg, London

Petrovic, S., McCarthy, B. (2014). Operational Research versus Operations Management. Inside O. R., 525: 26-27

Poksinska, B. (2010).The current state of Lean implementation in health care: literature review. Quality Management in Health Care, 19(4):319-329. doi:10.1097/QMH.0b013e3181fa07bb

Radnor, Z. J., Holweg, M., Waring, J. (2012). Lean in Healthcare: the unfilled promise? Social Science & Medicine, 74(3): 364-371. doi:10.1016/j.socscimed.2011.02.011

Rais, A., Viana, A. (2010). Operations Research in Healthcare: a survey. International transactions in operational research, 18(1): 1-31. doi:10.1111/j.1475-3995.2010.00767.x

Rao, H., Jain, D. (2013). The evolution of Analytics. OR/MS Today, 40(6): 30-32.

Serdarasan, S. (2013). A review of supply chain complexity drivers. Computers & Industrial Engineering, 66(3): 533-540. doi:10.1016/j.cie.2012.12.008

Shah, R., Ward, P. T. (2007). Defining and developing measures of lean production. Journal of Operations Management, 25(4): 785-805. doi:10.1016/j.jom.2007.01.019

Shannon, C. E. (1948). The mathematical theory of communication. The Bell Technical Journal, 27: 379-423, 623-651

Shannon, C.E., Weaver, W. (1971). The Mathematical Theory of Communication. University of Illinois Press

Siegel, E. (2013). Predictive Analytics. Wiley

S. Sivadasan, S., Efstathiou, J., Calinescu, A., Huatuco, L. H. (2006). Advances on measuring the operational complexity of supplier-customer systems. European Journal of Operational Research, 171(1): 208-226. doi:10.1016/j.ejor.2004.08.032

Sörensen, K., Glover, F. (2013). Metaheuristics, in Glass, S. and Fu, M. (eds) Encyclopedia of Operations Research and Management Science, 3rd ed. Springer. doi:10.1007/978-1-4419-1153-7_1167

Sörensen, K. (2015). Metaheuristics – the metaphor exposed. International Transactions in Operational Research, 22(1): 3-18. doi:10.1111/itor.12001

Ward, M.J., Marsolo, K.A., Froehle, C.M. (2014). Applications of business analytics in healthcare. Business Horizons, 57(5): 571-582. doi:10.1016/j.bushor.2014.06.003

Winter, M., Knemeyer, A. M. (2013). Exploring the integration of sustainability and supply chain management: Current state and opportunities for future inquiry. International Journal of Physical Distribution & Logistics Management, 43(1): 18-38. doi:10.1108/09600031311293237

Yue, D., You, F. (2014). Game-theoretic modeling and optimization of multi-echelon supply chain design and operation under Stackelberg game and market equilibrium. Computers and Chemical Engineering, 71: 347-361. doi:10.1016/j.compchemeng.2014.08.010

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