Applications of Operations Research

Optimization The application of operations research tools to a supply chain function. Examples include distribution planning (warehouse location and transportation planning) and planning a scheduling production. Optimization technology applies in complex supply chains and when the potential for improvement justifies its use. 

In addition to the case studies we discussed in Section 5.5, a number of real-world applications in supply chain management are available in the Interfaces journal. Interfaces is published bi-monthly, by the institute cf operations research and management science (INFORMS). Each issue contains real applications of Operations Research models in practice. Supply chain management applications appear frequently in this journal. 

There is by now a huge literature on the applications of operations research in container operations (cf Steenken et al. (2004)). To the best of our knowledge, while there are sporadic papers that address the static berth allocation planning problem, none of the papers in the literature addresses specifieally the issue of throughput loss in the dynamic berth planning... 

Fig. 5-2. we shall discuss at some length in this section. This problem is applicable to operations research, and, hence, we give a brief outline of maximum flow through networks. 

H.M. Wagner, Principles of Operations Research, With Applications to Managerial Decisions. Prentice/Hall, Englewood Cliffs, NJ, 1975. 

Krenek MR (1997) Improve global competitiveness with supply-chain management - Manufacturers must rethink how, when, where and why they produce goods. Hydrocarbon Processing 76 (5) 97-100 Krever M, Wunderink S, Dekker R, Schorr B (2005) Inventory control based on advanced probability theory, an application. European Journal of Operational Research 162 (2) 342-358... 

Wagner, H. (1969) Principles of Operations Research with Applications to Managerial Decision, Prentice-Hall Inc., New Jersey. 

This chapter introduces the reader to elementary concepts of modeling, generic formulations for nonlinear and mixed integer optimization models, and provides some illustrative applications. Section 1.1 presents the definition and key elements of mathematical models and discusses the characteristics of optimization models. Section 1.2 outlines the mathematical structure of nonlinear and mixed integer optimization problems which represent the primary focus in this book. Section 1.3 illustrates applications of nonlinear and mixed integer optimization that arise in chemical process design of separation systems, batch process operations, and facility location/allocation problems of operations research. Finally, section 1.4 provides an outline of the three main parts of this book. 

Bana e Costa CA, Ensslin L, Correa EC, Vansnick JC (1999) Decision Support Systems in action Integrated application in a multicriteria decision aid process. European Journal of Operational Research 113 315-335... 

Vargas LG (1990) An overview of the Analytic Hierarchy Process and its applications. European Journal of Operational Research 48 2-8 VCI (2006) Chemiewirtschaft in Zahlen. Verband der Chemischen Industrie e.V., Frankfurt am Main... 

C. Koulamas, K.R. Davis, F. Turner III, A survey of simulated annealing applications to operations research problems. Omega, 22 (1994) 41. 

Jaszkiewicz, A. and Slowinski, R. (1999). The light beam search approach - an overview of methodology and applications, European Journal of Operational Research 113, pp. 300-314. 

Hendry, L. C., and Kingsman, B. G. (1989), Production Plemning Systems and Their Applicability to Make-to-Order Companies, European Journal of Operational Research, Vol. 40, pp. 1-15. 

Ged, T., and Hanne T. (1999), Consequences of Dropping Nonessential Objectives for the Application of MCDM Methods, European Journal of Operational Research, Vol. 119, pp. 373-37S. 

Van Dijk, N. (1991), On Truncations and Perturbations of Markov Decision Problems with an Application to Queueing Network Overflow Control, Annals of Operations Research, Vol. 29, pp. 515-536. 

Zimmermann, H.-J. An application-oriented view of modeling uncertainty. European Journal of Operational Research, 122(2) 190-198, 2000. 

Li, Z.Y. and MUenkovic, V., 1995. Compaction and separation algorithms for non-convex polygons and their applications. European Journal of Operational Research, 84, 539-561. 

Pictet, J. and Bollinger, D., 2008. Extended use of the cards procedure as a simple eheitation technique for MAVT. Application to public procurement in Switzerland. European Journal of Operational Research 185(3), 1300-1307. 

Chang, D-Y. 1996. Theory and Methodology Applications of the extent analysis method on fuzzy AHP. European Journal of Operational Research. 95 649-655. 

Triantaphyllou, E. et al. 1997. Determining the most important criteria in maintenance decision making. Journal of Quality in Maintenance Engineering 3(1) 16-28 Vaidya, O.S. Kumar, S. 2006. Analytic hierarchy process An overview of applications. European Journal of Operational Research 169 1-29 Wang, L. et al. 2007. Selection of optimum maintenance strategies based on a fiizzy analytic hierarchy process. International Journal of Production Economics 107 151 163... 

Wang, Q. and M. Parlar. 1989. Static game theory models and their applications in management science. European Journal of Operational Research, Vol.42, 1-21. 

Zuo, M., W. Kuo, and K.L. McRoberts, Application of Mathematical Programming to a Large-Scale Agricultural Production and Distribution System , Journal of Operational Research Society 42 (1991), 639-648. 

Sainfort, F., Brandeau, M.L., Pierskalla, N.P./HANDBOOK OF OPERATIONS RESEARCH AND HEALTH CARE Methods and Applications... 

With the exceptions noted below, this publication is applicable to any type of operating research reactor. It may also be applied to critical and subcritical assemblies (hereafter both included under the term research reactor) to the extent that is appropriate for these facilities. 

Another perspective of organization produced the sociocultural model. It has evolved from a systems inquiry of the organization as mechanical system, but with interdependent variables, and came later in the twentieth century with the application of the mathematics of Operations Research (OR) to find optimal solutions to networks of interdependent variables. Academics like Ackoff and Forrester (systems dynamic modeling) [28] and practitioners like McNamara [29] contributed to this mode of inquiry. Eventually Ackoff [30] would renounce the OR approach because it didn t consider that the parts in a social system have a choice. 

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