15-lecture 6-2010 hard or

15-lecture 6-2010 hard or - Spring 2010 - G IE398 - lecture...

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Unformatted text preview: Spring 2010 - G IE398 - lecture 6 1 lecture 6 : hard or classifications of problem situations functionalist, interpretive and emancipatory systems approaches hard OR, hard ST formulation modelling implementation example : the LOD project Spring 2010 - G IE398 - lecture 6 2 Jackson & Keys classification of problem situations: divergence of values and interests unitary pluralistic conflicting hard OR soft OR/ST soft ST (emancipatory st critical ST etc.) hard OR/ST systemicity lowhigh Spring 2010 - G IE398 - lecture 6 3 We can distinguish between three dimensions, or aspects of complexity: 1. technical complexity e.g. pickup and delivery vehicle scheduling introduces high degree of technical complexity 1.probabilistic complexity ie. uncertainty e.g. the same problem situation would involve high probabilistic complexity, or uncertainty, if demands are not known in advance 1. purposive complexity ie. diversity of interests and values e.g. screening for breast cancer would involve high purposive complexity since there will be conflicting objectives another example: greenhouse gases causing global warming: high degree of complexity in all three aspects Figure 1 shows the 3-dimensional space of problem situations three zones Z1 , Z2 and Z3 are shown, enclosed by thick-gray boundary lines the relative volumes of these zones do not indicate the level of complexity of the problem situation , for example a situation that falls into Z3 can involve a degree of probabilistic complexity as high as that of a situation that falls into Z1 the volume each zone covers indicates the type of systems thinking that is more suitable for the problem situation of interest Spring 2010 - G IE398 - lecture 6 4 functionalist ST can deal with technical and probabilistic complexity much more effectively than it can deal with purposive complexity hence the boundaries of Z1 extend further along the technical and probabilistic axes, implying that we have a good chance of using quantitative techniques and mathematical models when inquiring into situations that are more suitably addressed by functionist ST Spring 2010 - G IE398 - lecture 6 5 interpretive ST can deal with technical and probabilistic complexity to a lesser extent, whereas with purposive complexity to a greater extent than functionalist ST can hence the boundaries of Z2 extend further along the purposive axis but cannot extend that much along the technical and probabilistic axes compared to the case of functionaist ST Spring 2010 - G IE398 - lecture 6 6...
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15-lecture 6-2010 hard or - Spring 2010 - G IE398 - lecture...

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