Volume 3, Issue 3

Bionic Assembly System: working modes, control and scheduling (pp. 121-131)

Branko Katalinic, Valentin E. Pryanichnikov, Kanji Ueda, Paulina Cesarec, Ilya Kukushkin, Roman Kettler
Innovations in the field of assembling systems are going in many directions. One of them is a creation of a new generation of automated assembly systems, based on natural phenomena. Bionic Assembly System (BAS) is a new concept of advanced assembling system, which combines two basic control structures and principles: centralized control system, based on the hierarchy and self-organizing control system, based on the heterarchy. This paper describes hybrid control structure, working scenarios, scheduling, reconfigurations and logic of working cycles during the assembly of one unlimited sequence of assembly orders. These systems have some additional possibilities for minimization of assembling time using system and layout reconfiguration. Different possibilities of the reconfiguration of BAS are shown in this paper.

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Synthesis Method of Control System for Spatial Motion of Autonomous Underwater Vehicle (pp. 133-141)

Vladimir Filaretov, Dmitry Yukhimets
The article deals with to the synthesis of autonomous underwater vehicle spatial motion control system on the basis of the decomposition principle. The entire control system is divided into six control subsystems with separate degrees of freedom. In turn, each subsystem consists of three control loops: the thruster control loop, the vehicle’s velocity control loop and the control loop of its position. The paper proposes different methods of synthesis of controllers for each of these loops. The mathematical simulation confirms that the synthesis strategy selected was correct and shows the high efficiency of the obtained control system.

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Reliability Assessment of Manufacturing Processes (pp. 143-151)

Tatyana Karaulova, Marina Kostina, Eduard Shevtshenko
Reliability of production processes is a key issue that ensures the stability of production system operation. It improves product quality and reduces production losses. In current paper, we introduce a framework for the fault analysis of production process, which provides the recommendations of corrective actions for the elimination of critical faults for machinery manufacturing. The central part of the proposed framework is an extension of the standard Failure Mode and Effect Analysis (FMEA) with a fault classifier and the estimation of FMEA parameters. The Bayesian Belief Network (BBN) is used to classify FMEA faults. In order to fit the analysis the BBN template duplicates the faults classifier structure.

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An Integrative Methodology for Simulation of FMS with Alternate Routings (pp. 153-161)

Chintankumar R. Patel, Dusan N. Sormaz
This paper reports on a simulation study of a sample FMS with integration of two flexibility types: routing flexibility and scheduling flexibility. The paper describes development of an integrative methodology in which process planning system IMPlanner is integrated with FMS control module. IMPlanner’s rule based process selection system and FMS’s control simulation model perform real-time data exchange in terms of the system status and part routings. FMS is simulated in Arena with four different routing decision policies: a) static best, b) static random, c) routing dynamic, and d) feature focused dynamic and two process selection criteria, machine utilization and machine queue size. Simulation model has been executed on the same data set for four mentioned routing decision policies and for four dispatching policies (FIFO, SPT, SIPT, LIPT). Results of each simulation run in terms of three performance measures; i) resource utilization, ii) throughput, and iii) work in progress (WIP) have been compared in order to determine best routing alternative selection policy, corresponding dispatching policy, and identify the best combination of those two policies. Statistical analysis has been performed on the results to identify the most significant factors that determine the FMS performance in the case of alternate routings.

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A Genetic Algorithm Approach for Minimizing Total Tardiness in Single Machine Scheduling (pp. 163-171)

Gursel A. Suer, Xiaozhe Yang, Omar I. Alhawari, Joel Santos, Ramon Vazquez
Minimizing total tardiness in single machine scheduling is known as NP-hard. In this paper, the problem is extended to include non-zero ready times and the preemption of jobs is not allowed. First, a mathematical model is developed. Due to computational complexities with the mathematical model, a Genetic Algorithm approach is also proposed and later its performance is compared with optimal solutions. The results show that GA can find optimal solution for small problems and near optimal solutions for large problems. The results also show that among Delay-only, Non-delay-only, and Random strategies, Non-delay strategy produced more robust solutions whereas random strategy found the optimal solution in smaller problem categories.

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