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신동목(Dongmok Sheen) 한국해양공학회 2012 韓國海洋工學會誌 Vol.26 No.4
Two dimensional nesting is a common problem in industries such as the shipbuilding, automotive, clothing, shoe-making, and furniture industries, in which various parts are cut off from stock or packed in a flat space while minimizing waste or unoccupied space. Nesting is known as an NP-complete problem, which has a solution time proportional to the superpolynomial of the input size. It becomes practically impossible to find an optimal solution using algorithmic methods as the number of shapes to nest increases. Therefore, heuristic methods are commonly used to solve nesting problems. This paper presents an expert system that uses a heuristic search method based on an evaluation function for nesting problems, in which parts and stock are represented by pixels. The system is developed in CLIPS, an expert system shell, and is applied to four different kinds of example problems to verify its applicability in practical problems.
2005년부터 2010년 사이의 RFID 기술 적용 현황
신동목(Dongmok Sheen),최성희(Sung Hee Choi),이공섭(Gong Seop Lee) 한국해양공학회 2010 韓國海洋工學會誌 Vol.24 No.4
RFID has been used as an identification tool that substitutes for bar codes. Its areas if application are increasing due to its suitability in ubiquitous environment. In this paper first, we review various aspects of RFID, including standards, characteristics, and relationships with wireless sensor networks. Then, we review the technical aspects of RFID and its areas if application, e.g., supply chain management (SCM) and manufacturing since 2005. SCM, in which RFIDs can shorten lead time and ensure the quality if products, is one of the most active application areas. Manufacturing is a relatively new area for RFID applications, but it is believed that it can enhance the productivity and the reliability of the products. Also, the authors suggest research issues and limitations of RFID, as well as possible application areas related to marine engineering.
신동목(DONGMOK SHEEN) 한국해양공학회 2003 韓國海洋工學會誌 Vol.17 No.1
This paper presents the use of an expert system to automate process planning of block assembly, a task that is usually completed manually. In order to determine the sequence of assembly operations, a search method guided by rules, such as merging of related operations, grouping of similar operations, and precedence rules based on know-hows and geometrical reasoning, is used. In this paper, the expert system developed is explained in detail regarding a global database, control strategies, and rule bases. For verification purposes, the expert system has been applied to simple examples. Since the rule bases are isolated from the inference engine in the developed system, it is easy to add more rules in the future.
신동목,노형민,이종원 한국경영과학회 1989 한국경영과학회 학술대회논문집 Vol.- No.1
The purpose of this study is to develop Balanced Clustering (BC) algorithm for forming GT cells in manufacturing system. The BC algorithm considers the number of products per machine and production time as well as the kinds of machines. This consideration can relieve in some degree the bottleneck machine problem and the unbalance of machine load after clustering, which exist in current clustering algorithms. The BC algorithm is written in PASCAL and compared with another algorithm through an example.