Preliminary evaluation of business to business electronic commerce by using qualitative simulation and scenario generation

Komiya, F.; Kusuzaki, T.; Soga, S.; Ohtani, K.; I, Tsushima; Hiramatsu, Ayako

doi:10.1109/icsmc.1998.727605

Cited by 7 publications

(3 citation statements)

References 3 publications

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“…Such effect directions assume simple relations, as discussed in previous studies of qualitative simulations [5][6][7]. Here a simple relation is a relation such that a large change at the source node causes a large change at the destination node.…”

Section: Qualitative/quantitative Hybrid Modelmentioning

confidence: 97%

“…However, at the stage of business planning, it is difficult to obtain quantitative estimates of all factors and their causal relations, and as a result, the models contain both quantitative and qualitative information, so that system dynamics cannot be applied to scenario evaluation. There have also been studies of scenario evaluation by means of qualitative simulations using qualitative models developed from quantitative information [5][6][7]. However, in such studies the quantitative evaluation of business factors becomes impossible.…”

Section: Introductionmentioning

confidence: 99%

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Business scenario evaluation using Monte Carlo simulation on qualitative and quantitative hybrid model

Samejima

Akiyoshi

Mitsukuni

et al. 2009

Electrical Engineering Japan

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SUMMARYWe propose a business scenario evaluation method using a qualitative/quantitative hybrid model. In order to evaluate business factors with qualitative causal relations, we introduce statistical values based on propagation and combination of effects of business factors by Monte Carlo simulation. In propagating an effect, we divide a range of each factor by landmarks and decide an effect to a destination node based on the divided ranges. In combining effects, we determine an effect of each arc using contribution degree and sum all effects. Through applied results to practical models, it is confirmed that there are no differences between results obtained by quantitative relations and results obtained by the proposed method at the risk rate of 5%.

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Section: Qualitative/quantitative Hybrid Modelmentioning

confidence: 97%

Section: Introductionmentioning

confidence: 99%

Business scenario evaluation using Monte Carlo simulation on qualitative and quantitative hybrid model

Samejima

Akiyoshi

Mitsukuni

et al. 2009

Electrical Engineering Japan

View full text Add to dashboard Cite

show abstract

“…On the other hand, "Qualitative Simulation" has been used for simulation of the model including some qualitative factors that cannot be described in numerical data or equations [4]. From this point, qualitative simulation has been applied to business scenario evaluation [5,6,7]. In qualitative simulation, all quantitative factors and causal relations are converted to qualitative ones so that the values of originally quantitative factors cannot be decided because the qualitative causal relations are intrinsically ambiguous.…”

Section: Introductionmentioning

confidence: 99%

Finding method of business risk factors by using qualitative and quantitative hybrid simulation

Akiyoshi

Negoro

Mitsukuni

et al. 2009

2009 7th IEEE International Conference on Industrial Informatics

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This paper addresses a new approach to find business risk factors based on business scenarios derived from qualitative-quantitative hybrid simulation. To investigate business risk factors under uncertain business environment, cause-effect interpretation of business factors along with time is significant for decision-makers. Business factors are represented either qualitatively or quantitatively. Our proposed simulation model involves such aspects with structural model representation and generates possible scenarios by using Monte Carlo simulation. However, possible scenarios as probability distribution of target factors inherently involve risk scenarios and non-risk scenarios from decision-makers point of views. Identifying risk factors still resorts to decision-makers without computational analysis support on derived outputs. Therefore we propose a finding method of business risk factors on target models.

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110 manufacturing methods

Halevi¹

2001

Handbook of Production Management Methods

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Preliminary evaluation of business to business electronic commerce by using qualitative simulation and scenario generation

Cited by 7 publications

References 3 publications

Business scenario evaluation using Monte Carlo simulation on qualitative and quantitative hybrid model

Business scenario evaluation using Monte Carlo simulation on qualitative and quantitative hybrid model

Finding method of business risk factors by using qualitative and quantitative hybrid simulation

110 manufacturing methods

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