July 24-27, 2017
Organized by: Faculty of Engineering, Universitas Indonesia
Faculty of Engineering, Universitas Indonesia proudly announces its 15th International Conference on Quality in Research (QiR) 2017. The main theme for this year conference is “Improving manufacturing and service industries for a better world”. Under this theme the conference focuses on the innovative research and contribution in industrial engineering toward achieving a more efficient and sustainable world.
International Symposium on Industrial Engineering – 15th QiR 2017 provides forum for scientific exchanges on the following topics:
- Big Data and Analytics
- Decision Analysis and Methods
- Healthcare Systems and Management
- Human Factors
- Manufacturing Systems
- Operations Research
- Production Planning and Control
- Project Management
- Quality Control and Management
- Reliability and Maintenance Engineering
- Supply Chain Management
- Systems Modeling and Simulation
- Technology and Knowledge Management
- Dr. Marie-Anne Guerry
Paper title: Model Selection Within The Class Of Discrete-Time Markovian Models
Abstract: Markovian models are useful in an engineering context. In building a model, alternatives are assessed aiming to end up with a valid model that describes the system accurately. The present paper formulates some guidelines in striving for a valid discrete time-homogeneous Markovian model. A first point of attention concerns the states since the validity of the model is in an important extent determined by the number of states and how they are defined. A Markov model is characterized by a transition matrix and assumes that the states are homogeneous with respect to the one-period inter-states transition probabilities. Analyzing longitudinal data for the observable variables provides useful information for states selection. A hidden Markov model can be constructed to deal additionally with latent sources of heterogeneity. A second point of attention appears in modeling a system with states for which there are duration-of-stay effects that cannot be neglected. One way to deal with the dependency of making an inter-states transition on the length of stay in a state, is by considering supplementary subdivisions of the initial states based on the length of stay. However, the disadvantage of this approach is the increase in the required amount of data to estimate properly the inter-states transition probabilities for each of the length of stay subdivision. An alternative approach is to build a semi-Markov model that incorporates simultaneously inter-states transition probabilities as well as sojourn times. For a given data set, the different model types can be evaluated regarding their goodness of fit and their complexity. The selection of the best model can be based on the computation of the Akaike’s Information Criterion (AIC) or the Bayesian Information Criterion (BIC). The present paper integrates the various points of attention in a working plan and discusses the model selection procedure in an engineering context.
Keywords: Model selection; Markov model; semi-Markov model; hidden (semi-)Markov model.
- Pekka Leviäkangas, Industrial Engineering and Management, University of Oulu
Paper title: Tiger’s leap or cautious steps? Intelligent Transport Systems in mature and developing economies
Abstract: Intelligent Transport Systems (ITS) seem to have been established as a solution to provide more efficient, greener and safer system for mobility. As a system-of-systems, a meta-system, the definition for ITS varies depending on the context. ITS gets a different emphasis in Finland, than it gets in Indonesia. In the former, for example, winter maintenance is regarded as one of the key areas for ITS application, whereas in Indonesia one of the key points will surely be tackling ultra-urban mobility challenges. This paper discusses some of the prospective ways to adopt ITS as a system of systems in the contexts of mature (e.g. Finland) and developing economies (e.g. Indonesia). Also the multiple problems on the way of successful ITS application are addressed, since these too vary in different contexts. First, since ITS is adopted to provide solutions for safety, reliability, sustainability and efficiency, and since these challenges differ from country to country and from context to context, it is important to set the goals for ITS deployment correctly. Advanced systems that respond to trivial, non-existing, or even completely wrong problems, are definitely sub-optimal. It may be that solutions adopted in developing economies are in fact designed for other, more mature technological and industrial contexts. Second, the systems-of-systems approach requires interoperability and connectivity which is achievable by standardization. Unfortunately, sometimes these standards do not exist, are difficult to apply, or they are of little practical use. Third, ITS is implemented by organizations – public and private – and these organizations must be ready not only to procure wisely, but also to manage and maintain their ITS over its life-cycle and ensure its performance. Institutional capabilities are probably one of the core requirements for successful application of ITS. Finally, there will be the question of technology policy: how will different policies impact on the adoption of ITS and which are the identified policy tools to take up ITS more effectively? A framework is suggested where the applicable solution models for both mature and developing economies are identified and examples presented. It is a misperception that mature economies always have the edge in technology adoption: sometimes it is easier for a developing economy to introduce innovative solutions.
Keywords: ITS; intelligent transport system; technology; policy; management; mobility; developing economies.
- QiR Conference Proceeding (ISSN: 1411-1284)
- Selected papers will be invited to publish in the International Journal of Technology, IJTech (ISSN: 2086-9614), indexed in SCOPUS.
- Selected papers will be invited to publish in the Makara Journal of Technology Series (ISSN 2355-2786)
– Full paper submission: http://qir.eng.ui.ac.id/paper-submission/
– Full paper template: http://qir.eng.ui.ac.id/wp-content/uploads/2017/02/QIR-Proceeding_Final-template.doc
– Registration: http://qir.eng.ui.ac.id/registration-fee/