Makoto Tsukiyama

Application of an immune algorithm to multi‐optimization problems

An immune system has powerful abilities such as memory, recognition, and learning to respond to invading antigens. The concept is expected to be applicable to many engineering applications. This paper proposes an optimization algorithm that imitates the immune system in order to solve multi-optimization problems partly by using a genetic algorithm. Through illustrative examples of multimodal functions such as the Shubert function, the proposed algorithm is shown to be effective in searching for a set of global solutions.

Adaptive scheduling system inspired by immune system

An immune system has powerful abilities such as memory, recognition and learning to respond to invading antigens, and artificial immunity-based systems are expected to be applicable to many engineering applications. This paper proposes an optimization algorithm imitating the immune system to solve the scheduling problem. The proposed algorithm is shown to be effective for multi-optimization such as a scheduling problem with variable batch sizes.

A planning method combining rule-bases and optimization algorithms for transportation network

An efficient method for transportation network planning is proposed, which combines rule bases and optimization algorithms. The knowledge-based subsystem describes the problem constraints and selects feasible solution candidates. Such a space of feasible solutions is searched by the optimization algorithm. Through an application to a real-world problem, the authors show that the proposed method makes it possible to get near-optimal solutions for practical large-scale problems in a short time.<<ETX>>

Scheduling Editor for Production Management with Human-Computer Cooperative Systems

Abstract The computer-aided scheduling environment of manufacturing system is described. The cooperation of the human and the computer is proposed, in which the complex simulation and data handling are executed by computer and the evaluation of schedule and the editing of schedule is indicated by the human planner. The cooperation of human and computer is essential in the system to edit the schedule as a planner desires. The simulation and the modelling of manufacturing systems as discrete event systems is based on the timed Petri net.

Immunity-Based Management System for a Semiconductor Production Line*

A production line of semiconductor is large scale and complex system. A control system of the line is consiEnred to be difficult to control because there exist lots of malfunctions such as maintenance of equipment, equipment break down and unbalance of WIP to disturb production of wafers in the semiconductor production system. We have been exploited some methods and systems using simulations or expert systems approach to solve these disturbances [2],[3],[4]. However, the semiconductor production systems had been large and complex and the environments of the systems have been changing dynamically, so that we could not exploit a perfect control system of semiconductor production by using only these methods. This paper presents a method applying an artificial immunity based system Enscribed by multi agent nets to adapt itself to dynamical environment

Artificial immunity based management system for a semiconductor production line

A semiconductor production line is a large scale and complex system. It is considered to be difficult to control because there exist lots of malfunctions such as maintenance of equipment, equipment break-down and imbalance of WIP to disturb production of wafers in the semiconductor production system. Methods and systems using simulations or expert systems have been used to solve these disturbances, the but semiconductor production environments change dynamically and therefore these methods alone do not yield a perfect control system. This paper presents a method applying an artificial immunity based system described by multi-agent nets, that adapts itself to a dynamical environment.

Engineering design support framework by case-based reasoning

Abstract In engineering design, the customers order-bandling process normally requires the designers previous experiences. The designer may be required to modify basic product units as well as install new functions. We propose a case-based design support framework to support this process. Our framework is implemented as a system SUPPORT, which interactively supports the design process involving the specification analysis, the functional design, and the parts selection and layout. The designer can analogically reuse past designs and/or their pieces from various viewpoints. After a new design is completed, the functional design is organized into an existing function abstraction hierarchy and can be used as a framework for a new design in the future.

Case organization in a case-based engineering design support system

The authors propose a case algorithm method in a case-based engineering design support system based on a psychological memory model. The objective is to support the conceptual design process interactively as much as possible, using the SUPPORT tool as an intelligent assistant. The work is characteristic in: (1) supporting the functional design with the value analysis methodology; (2) analogical case retrieval based on the semantic memory which defines the relations among concepts from multi-viewpoints; and (3) organization of cases based on a model of dynamic and hierarchical human episodic memory in cognitive science. SUPPORT and the memory organization method are discussed.<<ETX>>

A Real-Time Scheduling Method Using Hierarchical Decentralized Decision Makers for Flexible Manufacturing Systems

This paper presents a hierarchical decentralized scheduling method for a real-time production line control, which consists of a strategic level scheduler(SLS) and operational level schedulers(OLS). The SLS aims at making a schedule referenced by the OLS. The schedule solved by the SLS satisfies some constraints, and is generated by a schedule editor on the Flexible Planning System(FPS). The OLS aims at the real-time control of the production line and is based on the know-how of the supervisor.

DYNAMIC SCHEDULING BY USING SCHEDULING EDITOR AND DISTRIBUTED DECISION MAKER

Abstract In this paper, we propose a hierarchical dynamic scheduling procedure with a schedule editor as a strategic level scheduler, and distributed operational level schedulers. In the proposed system Petri-net is used to represent constraints of a complex manufacturing system. With the schedule editor, it becomes possible to freely generate and modify a schedule. With the operational level scheduler, dynamic dispatching decisions can be made.