Browsing by Subject "Just in time production"
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Item Open Access Interaction of design and operational parameters in periodic review kanban systems(Taylor & Francis, 2003) Erhun, F.; Aktürk, M. S.; Türkcan, A.In this study, we propose an analytical model to determine the withdrawal cycle length, kanban sizes and number of kanbans simultaneously in a multi-item, multi-stage, multi-period, capacitated periodic review kanban system. Traditionally, research in kanban systems has been separated into 'design level' research, and 'shop floor level' research. In both veins of research, especially for the design level, various algorithms have been developed. However, it is important to state that there is a significant relationship between the design parameters and the operational issues, such as kanban schedules and actual lead times. Therefore, we analytically consider the interdependencies between the design and operational decisions, and evaluate their impact on each other.Item Open Access A new dominance rule for the total weighted tardiness problem(Taylor & Francis, 1999) Aktürk, M. S.; Yıldırım, M. B.We present a new dominance rule for the single machine total weighted tardiness problem with job dependent penalties. The proposed dominance rule provides a sufficient condition for local optimality. We show that if any sequence violates the dominance rule, then switching the violating jobs either lowers the total weighted tardiness or leaves it unchanged. We also develop a new algorithm based on the dominance rule, which is compared to a number of competing heuristics for a set of randomly generated problems. Our computational results of over 40000 problems indicate that the proposed algorithm dominates the competing heuristics in all runs.Item Open Access An overview of design and operational issues of kanban systems(Taylor & Francis, 1999) Aktürk, M. S.; Erhun, F.We present a literature review and classification of techniques to determine both the design parameters and kanban sequences for just-in-time manufacturing systems. We summarize the model structures, decision variables, performance measures and assumptions in a tabular format. It is important to state that there is a significant relationship between the design parameters, such as the number of kanbans and kanban sizes, and the scheduling decisions in a multi-item, multi-stage, multi-horizon kanban system. An experimental design is developed to evaluate the impact of operational issues, such as sequencing rules and actual lead times on the design parameters.