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Ch42-I044963.fm Page 201 Tuesday, August 1, 2006 3:57 PM
Tuesday, August
Page 201
1, 2006
3:57 PM
Ch42-I044963.fm
201
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A STUDY ON INTEGRATION OF PROCESS PLANNING AND
SCHEDULING SYSTEM FOR HOLONIC MANUFACTURING SYSTEM
- SCHEDULER DRIVEN MODIFICATION OF PROCESS PLANS-

1
1
Rajesh SHRESTHA , Toshihiro TAKEMOTO , Nobuhiro SUGIMURA 1
1
Graduate School of Engineering, Osaka Prefecture University,
1 -1, Gakuen-cho, Sakai, Osaka 599-8531, Japan

ABSTRACT

In case of small batch productions with dynamic changes in volumes and varieties of products, the conventional
manufacturing systems are not adaptable and thus, new architectures of manufacturing system known as
autonomous distributed manufacturing system has been proposed, which can cope with dynamic changes in
volume and variety of products, and also with unscheduled disruptions. Holonic manufacturing system is one of
the autonomous distributed manufacturing systems. The purpose of the present research is to develop an integrated
process planning and scheduling system, which is applicable to the HMS. In this research, the process plans of the
individual product are modified with the help of the feedback information of the generated schedule. A systematic
method based on the DP and the heuristic rule is proposed to modify the predetermined process plans, based on
the load balancing of the machining equipment.

KEYWORDS
Holonic Manufacturing, Scheduling, Process Planning, Dynamic Programming, Heuristic Rule

INTRODUCTION

In case of small batch productions with dynamic changes in volumes and varieties of products, the conventional
manufacturing systems are not adaptable, and thus, new architectures of manufacturing system have been
proposed. The new architectures known as autonomous distributed manufacturing systems cope not only with the
dynamic changes but also with the unscheduled disruptions such as the breakdown of equipment and the
interruption of high priority jobs. Holonic manufacturing system is one of the autonomous distributed
manufacturing systems besides biological manufacturing systems, fractal manufacturing systems and agile
(l 4)
manufacturing systems. ^