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Dr. H. Kemal Ilter, B. Eng., M. B. A., Ph. D.

Senior Member of the ACM.
Visiting Researcher, ENCS Concordia University.
Assistant Professor, YBUBS Yildirim Beyazit University.

A personal website on the Decision Sciences by means of Artificial Intelligence or the Preservation of Competitive Firms in the Struggle for Business Life.[1]


1 Research [2]

Activities and Publications

2 Teaching

Choosing Paper Type
Guidelines for a master's thesis proposal
Notes on the PhD degree
Monodisciplinary vs Pluridisciplinary Research
Typical outline of a research paper
What is a reaction paper?

3 Bio

Curriculum Vitae

4 Logbook

5 B'log

6 Search



Oculus Supra

A high level scientific viewpoint which includes weird, absurd, unusual but well-focused works/subjects from mad scientists' dedicated efforts.


Fitness Landscape

A evolutionary perspective which is used to visualize the relationship between genotypes and reproductive success in evolutionary biology.



A web blog about my daily activities, don't expect nothing more.

Research Highlights

An ontological model for supply chain systems [3] Fortcoming

Industry-specific knowledge sharing and reuse are important factors not only in the area of supply chains as well as in entire industry. These factors can be represented in information systems by supply chain ontologies. As most supply chains have complex architectures, it is unclear which ontological structure is suitable for describing supply chains effectively. This article presents an ontological model that can be used for development of and information sharing for supply chains in four conceptual layers of knowledge, that are Product, Agent , Flow and Operation. The ontological model developed is reusable and can convey the descriptive information for a supply chain. Using the ontological model developed in this article, a case study is also presented to illustrate a realistic application of the model.


Figure from Ilter, H. Kemal (2014): SCOM Layers. figshare. Retrieved 04:29, Sep 28, 2014 (GMT)

On the sub-optimality of strategic decisions [4]

Conceptual view of fitness and fitness measurement of strategic decisions on information systems, technological systems and innovation are becoming more important in recent years. This paper determines some dynamics of fitness landscape which are lead to termination of decision makers' search before reaching the global maximum in strategic decisions. These dynamics are specified according to management decision making models and supported with simulation results. This article determines simulation results by means of Fitness Value and Probability of Optimality. Correlation between these two concepts may be remarkable according to revealing optimal values in innovative and research-based decision making approaches beside sub-optimal results of traditional decision making approaches.

A stochastic analysis of static complexity in manufacturing systems [5]

This paper presents static complexity in manufacturing systems. Static complexity can be viewed as a function of the structure of the system, connective patterns, variety of components and the strengths of interactions. We seek the acceptable static complexity levels for different types of manufacturing systems by means of their system performances. In general, deterministic processing times or expected values of processing times are considered to measure the complexity and related system performance in the production and operations management field. We consider stochastic processing requirements with a number of different processing distributions and levels of variability on the static complexity measurements. The objective of this paper is to reveal characteristics of the static complexity by making observations about the behavior of different systems in a hypothetical manufacturing environment. This would help in analyzing the properties in different manufacturing systems due to static complexity and system performance.

  1. Salute to Charles Darwin. This topic is a revised version of Darwin's 1872 book title.
  2. Citations and references of this website are in Chicago Manual of Style.
  3. In the reviewing process.
  4. Ilter, H.K. On the sub-optimality of strategic decisions. Journal of the school of business administration - Istanbul University, Vol. 42 No. 2 (2013).
  5. Bulgak A. A. and Ilter, H.K. A stochastic analysis of static complexity in manufacturing systems. YAEM'14, (2014).

2014 © H. K. Ilter