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Analytical and stochastic modelling techniques

Khalid Al-Begain, Dieter Fiems, Jean-Marc Vincent
2016 Annals of Operations Research  
Most of the papers appearing in this issue are extended versions of selected presentations given at the 19th International Conference on Analytical and Stochastic Modelling Techniques and Applications  ...  , and Markovian models.  ...  Cerotti, Gribaudo, Piazzolla, and Serazzi study consolidation and replication techniques for computing infrastructures.  ... 
doi:10.1007/s10479-016-2168-6 fatcat:dxo43alu5feazawbt45ttz3x64

Strategic Planning: Models and Analytical Techniques

James Morgan
1991 Journal of the Operational Research Society  
The purpose claimed for the book is to ‘introduce and explore the range of models and analytic techniques which are available to support the strategic planning process’.  ...  known and some less well known, is edited from a variety of sources, and is introduced by a clearly set out framework, which analyses the role to be played by models and analytic techniques in strategic  ... 
doi:10.1057/jors.1991.103 fatcat:5sxvbpgnufahtove2ypcb33twq

Strategic Planning: Models and Analytical Techniques

James Morgan, Robert Dyson
1991 Journal of the Operational Research Society  
The purpose claimed for the book is to ‘introduce and explore the range of models and analytic techniques which are available to support the strategic planning process’.  ...  known and some less well known, is edited from a variety of sources, and is introduced by a clearly set out framework, which analyses the role to be played by models and analytic techniques in strategic  ... 
doi:10.2307/2583462 fatcat:3dlqkkaahvfxpjtgahiqam3pza

Combined Network Design and Multiperiod Pricing: Modeling, Solution Techniques, and Computation

Daniel Bienstock, Olga Raskina, Iraj Saniee, Qiong Wang
2006 Operations Research  
value of expanding and operating the network.  ...  The complexity of the model, its nonlinear nature, and the large size of realistic problem instances motivates the development of efficient and scalable solution techniques.  ...  The research of the first author was partially funded by NSF awards 29132-5538 (CORC), CCR-0213840, and DMI-0200221.  ... 
doi:10.1287/opre.1050.0259 fatcat:u6bfipv73rdpvhup4vwgu552cy

Modeling recreational systems using optimization techniques and information technologies

Oleg Shcherbina, Elena Shembeleva
2011 Annals of Operations Research  
and operations research approaches.  ...  In this paper, we review research works on modeling recreational systems.  ...  Solving these problems require the use of modern techniques of operations research and up-to-date information technologies.  ... 
doi:10.1007/s10479-011-1011-3 fatcat:4o4rore7nbdstdew2rklt5i4pm

Flexible resources allocation techniques: characteristics and modelling

El Awady Attia, Kouassi Hilaire Edi, Philippe Duquenne
2012 International Journal of Operational Research  
In the homogeneous modelling of operators' efficiencies, the tasks are often approached with predetermined durations and release/due dates: this considerably reduces the flexibility of carrying out the  ...  In the case of our model, we arbitrarily set up ș min at 0.5 and the nominal value ș a,k at 1.  ... 
doi:10.1504/ijor.2012.046649 fatcat:svfdhpkpjbfz7et2ro3hppiaom

Discrete and Fractional Programming Techniques for Location Models

S. Salhi, A. I. Barros
1999 Journal of the Operational Research Society  
Discrete and Fractional Programming Techniques for Location Models Al Barros Kluwer Academic Publishers, London, 1998. xviii+178 pp. £62.00.  ...  Chapter three reviews Fractional Programming (FP) techniques and their adaptation to fractional location analysis.  ... 
doi:10.2307/3010333 fatcat:zw4kkepqlnb73nehhtlvl7ooje

Product mix optimization for a semiconductor fab: Modeling approaches and decomposition techniques

Martin Romauch, Andreas Klemmt
2015 Computers & Operations Research  
We propose a general model that considers a wide range of objectives and we introduce a decomposition heuristic.  ...  In this paper we address a linear programming model of the product mix problem considering product dependent demand limits (obligations and demand forecast) and profits while respecting the capacity bounds  ...  CONCLUSIONS AND FURTHER RESEARCH The contribution of this paper can be seen as twofold.  ... 
doi:10.1016/j.cor.2014.04.017 fatcat:chvalvq3ere7fmmmfnehzwzxqu

Agent-Based Modeling: Methods and Techniques for Scheduling Industrial Machine Operation

Chiagunye Tochukwu, Inyiama Hyacinth, Aguodoh Patrick C.
2017 International Journal of Trend in Scientific Research and Development  
Simulated annealing technique is used for carrying out the optimization modeling for the ABM.  ...  It provides a general framework of aggregation in agent based and related computational models by use of Markov Chain aggregation and lumpability theory in order to link the micro and the macro level of  ...  the focus of considerable attention in Operations Research (OR) Manufacturing industries are facing a growing and rapid change.  ... 
doi:10.31142/ijtsrd7018 fatcat:sra4vpz5qnb2xjrbjk7dmmhqdu

Optimization in Industry: Mathematical Programming and Modeling Techniques in Practice

John M. Wilson
1994 Journal of the Operational Research Society  
SALHI Optimization in Industry: Mathematical Programming and Modeling Techniques in Practice Trro A. Ciriani and RoBert C.  ...  It is extremely useful to the teacher of optimization, operational research and decision science.  ... 
doi:10.1057/jors.1994.89 fatcat:x5pkqhjoj5ddjdjhv53ohggs3i

Modeling elements and solving techniques for the data dissemination problem

Ronan Bocquillon, Antoine Jouglet
2017 European Journal of Operational Research  
In this paper, we propose dominance-rule-based techniques for solving the data dissemination problem.  ...  In particular, we describe preprocessing procedures and some integer-linear-programming formulations to solve the problem.  ...  , and managed by the National Agency for Research (ANR-11-IDEX-0004-02).  ... 
doi:10.1016/j.ejor.2016.07.013 fatcat:kbdqh2ds2fcwfijj5s4fahqaxa

The Randomization Technique as a Modeling Tool and Solution Procedure for Transient Markov Processes

Donald Gross, Douglas R. Miller
1984 Operations Research  
We have introduced the general modeling approach of SERT which seems to have rather broad applicability and is a general and efficient means of implementing the randomization technique.  ...  E[f(Y n)]P(N(t) = n) n=0 An example of this type of performance measure is the expected number of machines operating at time t in a machine repair model.  ... 
doi:10.1287/opre.32.2.343 fatcat:pkuubnh655acngzujndnorkw3m

Optimization in Industry 2: Mathematical Programming and Modeling Techniques in Practice

John M. Wilson
1995 Journal of the Operational Research Society  
Optimization in Industry 2: Mathematical Programming and Modeling Techniques in Practice Tito A. Crrianr and Rospert C.  ...  European Journal of Operational Research 59(1). . P. SENGE (1990) The Fifth Discipline: The Art and Practice of the Learning Organisation. Doubleday/Currency, New York. . J. D. W.  ... 
doi:10.1057/jors.1995.112 fatcat:hkj7tx333jcw5dqs3tubenprq4

The scientific technique ODA cooperation model: The research equipment and the operation technology support

Donghun Yoon, Sandra Ricart Casadevall
2018 Cogent Social Sciences  
Then, we discuss the scientific technique ODA cooperation for the research equipment and operation technology.  ...  In this paper, we attempted to study the scientific technique ODA cooperation model for the research equipment. First, we discuss and present for the scientific technique ODA cooperation.  ...  In this paper, the scientific technique for ODA cooperation model for research equipment and operations technology is discussed and presented.  ... 
doi:10.1080/23311886.2018.1505414 fatcat:nerdkmewljeshbcd2o5qrk7joy

Optimization in Industry 3: Mathematical Programming and Modeling Techniques in Practice

John Wilson, Anna Sciomachen
1996 Journal of the Operational Research Society  
Book Selection 837 undergraduate, postgraduate and research level students particularly in Statistics, Applied Mathe- matics, Operational Research, Computer Science and Management Science’ but should prove  ...  Optimization in Industry 3: Mathematical Programming and Modeling Techniques in Practice ANNA SCIOMACHEN (Ed.)  ... 
doi:10.2307/3010295 fatcat:ifng654kvveudirllolvyx7kqe
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