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The paper aims to describe the challenges faced by a developing country (case of Indonesia) in the effort to improve the quality of national construction industry through “certification” requirement for professionals and skilled labors. It also aims to identify root problems and propose a recommendation for rethinking the “certification” systems. Indonesia's experiences can be regarded as lessons learned by other developing countries struggling to strengthen their construction industries.

The study is based on an exploratory study including a focus group discussion with stakeholders representing the various professional associations, construction company associations (contractors and consultants), the Ministry of Manpower, and the Ministry of Public Works. An analysis based on the findings about implementation issues of “certification” requirement resulted in the identification of the root problems and the recommendation for restructuring the system.

The paper provides empirical insights about how “certification” requirement for all professionals and skilled labors have been implemented in a developing country. Although the requirement seemed to be tactical, it resulted in a circumstance in which there are numerous types of highly specialized certificates/licenses. The mechanism in the administration of these licenses has been problematic because of institutional issues, i.e. the extensive authority of the Construction Services Development Board and the inadequate controls from the government.

The recommendations may lack details and practicality, while the recommendation for rethinking and restructuring requires changes of fundamental conceptions in all stakeholders.

The paper includes recommendations for the development of Indonesia's construction industry. The recommendations include the distinction between voluntary and mandatory certificates, putting more authority back to the government in the administration of the mandatory certificates/licenses, and the establishment of an independent licensing board. Other developing countries can learn from Indonesia's experience.

This paper fulfils an identified need to rethink the certification/licensing system.

Finding the optimal solution to address problems in sewer management systems has always challenged asset managers. An understanding of deterioration mechanisms in sewers can help asset managers in developing prediction models for estimating whether or not sewer collapse is likely. The effective use of deterioration prediction models along with the development and use of life cycle cost analysis (LCCA) can contribute to the goals of reducing construction, operation and maintenance costs in sewer systems. When sewer system maintenance/rehabilitation options are viewed as investment alternatives, it is important, and in some cases, imperative, to make decisions based on life cycle costs instead of relying totally on initial construction costs. The objective of this paper is to discuss the application of deterioration modelling and life cycle cost principles in sewer system management, and to explore the role of the Markov chain model in decision making regarding sewer rehabilitation. A test case is used to demonstrate the application of the Markov chain decision model for sewer system management. The analysis includes evaluation of this concept using dynamic programming and the policy improvement algorithm.

This paper proposes a decision‐making framework to assist asset managers in decision making regarding sewer maintenance/rehabilitation (M&R) plans under constraints of limited access to sewer condition data. It discusses the application of probabilistic dynamic programming in conjunction with a Markov chain model to analyze the life cycle cost of combined sewer systems. M&R issues have traditionally been addressed with a crisis‐based approach, but this study contributes to sewer infrastructure management efforts in developing a management system based on life cycle cost analysis. The framework includes the optimal M&R techniques for sewer projects and the optimal times of application. The role of simulation is also explored to obtain the variability of the total cost. By knowing the expected costs and their variabilities, a deeper understanding of life cycle costs of sewer infrastructure can be obtained. The model’s capability is enhanced further by testing its sensivitity to varying discount and inflation rates.