• 산업경영시스템학회지
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• 제21권47호
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• pp.113-124
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• 1998

Manufacturing systems are becoming intelligent, decentralized, autonomous, which is so called as Intelligent Manufacturing Systems(IMS). In this paper, a method for efficient resource management in Holonic Manufacturing System which is one alternative of IMS, was developed. The developed method was evaluated with the current possible method and the results are shown.

• 제어로봇시스템학회논문지
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• 제3권3호
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• pp.305-310
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• 1997

In this paper, a fuzzy set based machine-cell formation algorithm for cellular manufacturing is presented. The fuzzy logic is emoloyed to express the degree of appropriateness when alternative machines are specified to process a part shape. For machine grouping, the similarity coefficient based approach is used. The algorithm produces efficient machine cells and part families which maximize the similarity values.

• 한국경영과학회지
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• 제30권3호
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• pp.55-65
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• 2005

In recent manufacturing systems, most jobs may have several process plans, such as alternative sequence of operations, alternative machine etc. A few researches have addressed the necessity for the integration of process planning and scheduling function for efficient use of manufacturing resources. But the integration problem is very difficult and complex. Many prior researches considered them separately or sequentially. It introduces overlapping or partial duplications in solution efforts. In this paper, Integration problem of jobs with multiple process plans in a job shop environment Is addressed. In order to achieve an efficient integration between process planning and scheduling by taking advantage of the flexibility that alternative process plans offer, we designed GA(Genetic Algorithm)-based scheduling method. The performance of proposed GA is evaluated through comparing integrated scheduling with separated scheduling in real world company with alternative machines and sequences of operations. Also, a couple of benchmark problems are used to evaluate performance. The integrated scheduling method in this research can be effectively epplied to the real case.

• 한국시뮬레이션학회논문지
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• 제25권4호
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• pp.1-12
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• 2016

항공기 엔진부품을 생산하는 제조산업은 전통적인 주문형 제조방식을 따르며, 다품종 소량생산시스템이다. 또한 생산공장의 배치는 유사한 기능을 가지는 병렬 기계들이 공정별 배치 형태로 구성되어 있고 조립공정이 포함되는 Hybrid Job Shop이다. 더 나아가 다양한 대체장비를 가지고 있으며, 공정 경로도 다양하고, 조립공정도 포함되어 있다. 이와 같은 복잡한 시스템의 생산능력을 검증하기 위해서는 시뮬레이션이 가장 우수한 방법이며, 정확한 모델의 개발을 위해 고도의 시뮬레이션 모델링기술이 필요하다. 이 논문에서는 위에서 언급한 복잡한 특성을 가진 생산시스템을 효과적으로 모델링하기 위한 방법론을 소개하고, 실제 항공기부품 생산업체를 대상으로 시뮬레이션 연구를 수행한 사례에 대해 소개한다.

• Journal of Microbiology and Biotechnology
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• 제34권5호
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• pp.994-1002
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• 2024

The rise in plant-based food consumption is propelled by concerns for sustainability, personal beliefs, and a focus on healthy dietary habits. This trend, particularly in alternative meat, has attracted attention from specialized brands and eco-friendly food companies, leading to increased interest in plant-based alternatives. The dominant plant-based proteins, derived mainly from legumes, include soy protein isolates, which significantly impact sensory factors. In the realm of plant-based fats, substitutes are categorized into fat substitutes based on fats and fat mimetics based on proteins and carbohydrates. The production of these fats, utilizing gums, emulsions, gels, and additives, explores characteristics influencing the appearance, texture, flavor, and storage stability of final plant-based products. Analysis of plant-based proteins and fats in hamburger patties provides insights into manufacturing methods and raw materials used by leading alternative meat companies. However, challenges persist, such as replicating meat's marbling characteristic and addressing safety considerations in terms of potential allergy induction and nutritional supplementation. To enhance functionality and develop customized plant-based foods, it is essential to explore optimal combinations of various raw materials and develop new plant-based proteins and fat separation.

• 산업공학
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• 제13권3호
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• pp.388-395
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• 2000

In this paper, we propose an approach for integrated process planning and scheduling through analysis of the alternative operations sequences and machine selection in supply chain with multiple plants. It takes into account such factors alternative machine, alternative operations sequences, setup time, transportation time between plants, along with other manufacturing factors. The objective of the model is to minimize makespan of machine schedules for all parts, determines operations sequence for each part, and selects a machine for each operation simultaneously. Examples are presented to demonstrate the effectiveness of the proposed approach.

• 대한산업공학회지
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• 제23권3호
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• pp.581-595
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• 1997

The procedure of grouping the machines and parts to form cells is called manufacturing cell design. The manufacturing cell design is an important step in the development and implementation of advanced manufacturing systems. For the successful implementation of the manufacturing systems, identification of independent manufacturing cells, i.e., cells where parts are completely processed in the cell and no intercell movements, is necessary in the design phase. In this paper, we developed a mixed integer programming model and genetic algorithm based procedure to solve the independent manufacturing cells design problem considering the alternative process plans and machines duplication. Several manufacturing parameters such as, production volume, machine capacity, processing time, number of cells and cell size, are considered in the process. The model determines the process plan for parts, port families and machine cells simultaneously. The model has been verified with the numerical examples.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2002년도 춘계학술대회 논문집
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• pp.540-545
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• 2002

The tight integration of the part design and process planning is very effective to high quality product development and cost effective manufacturing. Moreover, the integration in the early design stage, that is, the integration of the conceptual design and the conceptual process planning may take a big impact with the forecasting the alternative of the design and manufacturing. In this paper, the real field parts are studied about the relations among the Feature, Function, and Manufacturing Process taking the style of reverse engineering method, to found the base of the systematic computer system for the integrated product design and manufacturing process planning.

• 한국생산제조학회지
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• 제22권2호
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• pp.275-280
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• 2013

The tractor front axle has the lower standard for noise and vibration relatively and it increase the possibility to develop of the alternative straight bevel gear of the expensive spiral bevel gear. The purpose of this paper is to compare of the spiral vs. the straight bevel gear manufacturing process. The manufacturing cost and productivity are compared after the spiral bevel gear of the tractor front axle is replaced of to the straight bevel gear. If spiral bevel gear is replaced to straight bevel gear, the cost is reduce 4.6% and productivity is increase 18%.

• 한국경영과학회:학술대회논문집
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• 한국경영과학회 1996년도 추계학술대회발표논문집; 고려대학교, 서울; 26 Oct. 1996
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• pp.49-52
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• 1996

In this article, we develop a 'dynamic' approach to manufacturing improvement, based on perspectives of manufacturing learning and decision theory. First, we present an alternative definition of production system consistent with a decision-theoretic perspective: the system consists of structural, infra-structural, and decision making constructs. A primary proposition is that learning capability possessed by a manufacturing system be prerequisite for the system to improve its manufacturing performance through optimal controlling of the three constructs. To support the proposition, we elaborate on a mathematical representation of "learning" as defined in an applied setting. We show how the learning capability acts as an integrating force ameliorating the trade-off between two key manufacturing capabilities, i.e., process controllability and process flexibility.exibility.