복수 제품의 병렬 생산 설비별 생산량 할당 방법에 관한 연구

김태복 한국경영과학회 2007 經營 科學 Vol.24 No.1

To realize the mass customization entails the optimized supply chain design for efficiently producing and delivering the various products. In this study, we considered the problem obtaining the optimized production policy under the situation wherein the multiple products are apportioned into multiple parallel production facilities. More specifically, the production set-up costs incurs according to whether the production facilities are utilized or not. The facility-dependent set-up costs increase the problem complexity in solving the production apportioning problem for multiple products. This problem can be formulated as concave minimization problem, which is known as NP-hard problem. In this paper, a heuristic algorithm is proposed to solve two conjoint problems : one is to select the cost-effective facilities from alternative multiple production facilities and the other is to apportion the production lot to those selected facilities.

지각적 vs. 개념적 유창성이 복수 제품 선택에 미치는 영향

박지혜(Ji Hye Park),김영성(Young Sung Kim) 한국마케팅학회 2014 마케팅연구 Vol.29 No.1

본 연구에서는 처리 유창성의 지각적 유창성과 개념적 유창성의 유형의 차이에 따른 고객 선택형 번들 구성을 위한 복수 제품 선택과 범주화 과정을 살펴보았다. 세 차례의 실험 결과, 고객 선택형 번들링 구매 상황에서, 지각적 유창성이 현저해진 소비자는 그렇지 않은 소비자에 비해 단일 제품군 중심의 복수 제품을 선택 하는 반면, 개념적 유창성이 현저해진 소비자는 그렇지 않은 소비자에 비해 이종 연계 제품군 중심으로 복수 제품을 선택하였다. 이는 범주화 과정에서도 동일하게 나타났는데, 지각적 유창성이 현저해진 소비자는 단일 제품군 중심으로 제품을 분류하여 범주화하는 반면에, 개념적 유창성이 현저해진 소비자는 소비 상황에 적합한 연계 제품군 중심으로 제품을 분류하여 범주화하였다. 또한 단일 제품군의 포트폴리오가 제시되는 상황에서는 제품의 넓이와 깊이에 대한 선택 차이가 발생하였다. 즉, 지각적 유창성이 현저해진 소비자는 그렇지 않은 소비자에 비해 단일 제품군속에서 보다 제품의 깊이에 집중하여 복수 제품을 선택하였다. 개념적 유창성이 현저해진 소비자는 그렇지 않은 소비자에 비해 제품의 넓이 즉, 제품의 사용 상황에 집중하여 번들 구성을 위한 복수 제품을 선택하였다. 본 연구 결과를 바탕으로 학술적, 실무적 시사점에 대해 논의하였다. This study examined the effects of perceptual versus conceptual fluency a) on product self-bundling choice in the multiple product portfolios, b) on product categorization process, and c) on multiple product assortment choice in a single product portfolio. Results of three experiments revealed that perceptual fluency increased multiple product choices within a single product category, whereas conceptual fluency enhances bundling choices between related product categories. Also, in the perceptually fluent condition, products were categorized by product features or types. In the conceptually fluent condition, products were categorized by the relatedness among products or product-context associations. Effects of perceptual vs. conceptual fluency on multiple product assortment choice were consistent in the single product category condition. When consumers were perceptually fluent, they were likely to choose vertical options focusing on product features (e.g., flavors) in product portfolio. However, when consumers were conceptually fluent, decisions on multiple product assortment choice were more horizontal or context- oriented. Academic and practical implications were further discussed.

모델-제품범주 일치여부와 광고출연 유형에 따른 광고효과

송근섭(Song, Keun-Sop),김관규(Kim, Kwan-Kyu) 동국대학교 사회과학연구원 2013 사회과학연구 Vol.20 No.3

경쟁적인 광고 환경 속에서 유명인 모델은 다양한 제품의 광고에 중복하여 출연한다. 본 연구는 모델-제품범주 간의 일치도(일치 vs. 불일치)와 모델이 추천하는 제품의 수(단일 vs. 중복)가 광고효과에 어떤 영향을 미치는지에 대해 체계적으로 검증하였다. 실험 1은 스포츠 스타 유명인이 여러 제품들을 중복하여 추천하는 상황에서, 모델-제품 범주가 일치할 때가 그렇지 않을 때 보다 더 높은 광고효과를 보인다는 것을 검증하기 위해 설계되었다. 실험 결과, 제품범주가 일치하는 조건에서 더 높은 모델 신뢰도, 전문성, 친숙도를 보였으나, 모델의 호감도는 통계적으로 유의한 차이가 없었다. 제품범주가 일치하는 조건에서 더 높은 광고태도, 제품태도, 구매의도를 보였다. 실험 2는 제품범주 일치 조건을 통제(즉, 모든 광고제품을 스포츠 제품으로)한 뒤, 한 명의 스포츠스타 모델이 여러 제품을 중복하여 추천하는 조건과 단 하나의 제품을 추천하는 조건이 광고효과에 어떠한 차이를 보이는지를 검증하기 위해 설계되었다. 실험 결과, 중복출연 조건은 단일출연 조건보다 더 높은 모델 신뢰도, 친숙성을 보였다. 그러나 모델의 전문성과 호감도는 통계적으로 유의한 차이가 없었다. 이와는 다르게, 단일출연 조건은 중복출연 조건보다 더 높은 광고태도, 제품태도, 구매의도를 보였다. 결론적으로, 유명인이 중복출연 하는 광고는 모델과 제품의 범주가 일치할 때 더 효과적이며, 단일 출연모델이 더 높은 광고효과를 가져오지만, 중복출연은 모델의 신뢰도와 친숙성을 높여줄 수 있다. Commercials featuring celebrities have long been popular and in a competitive marketplace like these days, some celebrities might appear in several commercials in different product categories. Taking this into consideration, this study mainly focused on the effect of celebrity endorsement in advertising. Specifically, it aimed on investigating the effect of commercial model-product’s categorical congruency (congruency vs. in-congruency) and the number of products that the commercial model is endorsing (single vs. multiple) on consumer’s general responses. Experiment 1 was designed to test whether the advertising is more effective when celebrity athlete endorses multiple products with categorical congruency than with in-congruency, meaning that commercials with athletes endorsing sports-related products are more appealing than non-sports related products. The results of experiment 1 revealed the higher scores for commercial model’s credibility, expertise, and familiarity in the categorical congruency condition than in the categorical in-congruency condition, however, the commercial model’s favorability scores did not meet the significant difference. In addition to this, it also showed higher scores in attitude towards the advertisement and product together with purchase intention in the categorical congruency condition. Expanding on these results, experiment 2 was aimed at investigating the advertising effect of the multiple product endorser and the single product endorser in product’s categorical congruent condition. Participants were exposed to equal number of commercials in both conditions. In the multiple product endorser condition, all commercials were featured by single athlete, while in the single product endorser condition, each commercials were featured by different athletes. The results from experiment 2 showed higher scores for model’s credibility, and familiarity in the multiple product endorser condition than the single product endorser condition, however, the scores for model’s expertise nor favorability did not reach statistical significance. In contrast to this, the scores for purchase intention, attitude towards the advertisement and the product were higher in the single product endorser condition than the multiple product endorser condition.

소비자 목표와 제품 범주 친숙도가 융합제품 평가에 미치는 영향

박세훈(Se Hoon Park),김문용(Moon Yong Kim) 한국마케팅학회 2010 마케팅연구 Vol.25 No.4

본 연구에서는 친숙도에 있어 차이가 나는 2개의 제품 범주(즉, 친숙도가 높은 제품 범주와 낮은 제품 범주)가 결합되어 형성된 융합제품이 친숙도가 높은 제품 범주 또는 친숙도가 낮은 제품 범주의 속성들로만 기술되어 소비자가 융합제품에 대해 단일 범주 추론을 형성할 때, 소비자의 목표―즉, 추론의 기반이 되는 제품 범주와 관련된(vs. 관련 없는) 목표―에 따른 융합제품에 대한 평가가 추론의 기반이 되는 제품 범주의 친숙도(높은 친숙도 vs. 낮은 친숙도)에 따라 어떻게 달라지는지를 살펴보았다. 또한, 동일한 융합제품이 주 범주(즉, 융합제품의 라벨로 제시되는 제품 범주)는 친숙도가 높은(또는 낮은) 제품 범주의 속성들로, 수식 범주는 친숙도가 낮은(또는 높은) 제품 범주의 속성들로 기술되었을 경우, 융합제품에 대한 추론(단일 범주 추론 vs. 다 범주 추론)이 어떻게 나타나는지, 그리고 이때 융합제품을 구성하는 제품 범주와 관련된 소비자의 목표(주 범주 관련 목표 vs. 수식 범주 관련 목표)는 융합제품 평가에 어떠한 영향을 미치는지를 살펴보았다. 두 차례의 실험 결과, 첫째, 친숙도에 있어 차이가 나는 2개의 제품 범주(즉, 친숙도가 높은 제품 범주와 낮은 제품 범주)가 결합되어 형성된 융합제품(예: 전자사전-PDA)이 친숙도가 높은 제품 범주(예: 전자사전) 또는 친숙도가 낮은 제품 범주(예: PDA)의 속성들로만 기술되었을 때, 융합제품 평가에 있어서 추론의 기반이 되는 제품 범주와 관련된 목표가 활성화되었을 경우 평가절상 효과는 유의하게 나타나지 않았다. 반면, 추론의 기반이 되는 제품 범주와 관련 없는 목표가 활성화되었을 경우 평가절하 효과는 융합제품을 구성하는 제품 범주의 친숙도에 따라 달리 나타나는 것으로 확인되었다. 즉, 융합제품 추론의 기반이 되는 제품 범주와 관련 없는 목표가 활성화되었을 때, 융합제품이 친숙도가 높은 제품범주의 속성들로만 기술되었을 경우에는 평가절하 효과가 나타나는 반면, 융합제품이 친숙도가 낮은 제품범주의 속성들로만 기술되었을 경우에는 평가절하 효과가 나타나지 않는 것으로 확인되었다. 둘째, 동일한 융합제품이 주 범주(즉, 융합제품의 라벨로 제시되는 제품 범주)는 친숙도가 높은 제품 범주의 속성들로, 수식 범주는 친숙도가 낮은 제품 범주의 속성들로 기술되었을 때는, 친숙도가 높은 주 범주에 기반한 단일범주 추론이 발생하였다. 반대로, 융합제품의 주 범주가 친숙도가 낮은 제품 범주의 속성들로, 수식 범주가 친숙도가 높은 제품 범주의 속성들로 기술되었을 경우에는 양 제품 범주에 기반한 다 범주 추론이 발생하는 것으로 나타났다. 셋째, 앞서 살펴본 동일한 융합제품에 대해 (1)친숙도가 높은 주 범주에 기반한 단일범주 추론이 형성되었을 경우, 추론의 기반이 되는 제품 범주와 관련된 목표가 활성화되었을 때 평가절상 효과는 유의하게 나타나지 않았고, 추론의 기반이 되는 제품 범주와 관련 없는 목표가 활성화되었을 때 평가절하 효과는 나타난 반면, (2)양 제품 범주에 기반한 다 범주 추론이 형성되었을 경우, 목표에 의한 평가절상 효과 및 평가절하 효과는 나타나지 않는 것으로 확인되었다. 마지막으로 본 연구결과가 제시하는 이론적·관리적 시사점을 제시하고, 연구의 한계와 미래의 연구 방향에 대해서도 논의하였다. Hybrid products are formed by combining features and functionalities of two or more existing product categories. Thus, it is difficult or impossible to place them into preexisting categories (Gregan-Paxton, Hoeffler, and Zhao 2005). Hybrid products exhibit some of the following characteristics: First, a hybrid product is formed by combining two or more distinct product categories with identical or differing levels of familiarity (Gregan-Paxton et al. 2005). Second, a hybrid product is linked to the simultaneous attainment of several goals relevant to the key functionalities best met by the product categories comprising it (Kruglanski, Shah, Fishbach, Friedman, Chun, and Sleeth-Keppler 2002). According to prior studies, consumers can employ a single- or a multiple-category inference strategy to make inferences about hybrid products. A single-category inference can lead consumers to focus only on the subset of beliefs that are consistent with the selected category for the hybrid product and to ignore beliefs about features that are inconsistent with the selected category while making product evaluations (Gregan-Paxton et al. 2005; Rajagopal and Burnkrant 2009). Conversely, a multiple-category inference can lead a consumer to evaluate a hybrid product based on the multiple functionalities, where the functionalities reflect the categories upon which the consumer`s inference with regard to the hybrid product is based. Relatedly, for example, Gregan-Paxton et al. (2005) examined the nature of consumers` inferences when faced with a product that could belong to multiple categories (e.g., a PDA phone). Specifically, Gregan-Paxton et al. (2005) found that when an ambiguous product was described in terms of conflicting conceptual (i.e., product label) and perceptual category cues (i.e., product picture), a single category inference strategy was employed where inferences were based mainly on the perceptually cued category when the perceptually cued category was more familiar than the conceptually cued category. However, when the perceptually cued category was less than or equal to the conceptually cued category in familiarity, a multiple category inference strategy was employed and inferences were based on both the perceptually and conceptually cued categories. Moreover, previous research on goals has suggested that active goals guide consumer decision making, and recent research has highlighted their role in the value perception of choice alternative (see Markman and Brendl [2000] for an expanded discussion). Markman and Brendl`s study (2000) is grounded in goal systems theory (e.g., Kruglanski et al. 2002). The basic premise of this theory is that goals are motivational structures: they influence the way in which individuals evaluate the world around them. Within this framework, studies have shown that an active goal increases the value of any object that is instrumental for its satisfaction (Markman and Brendl 2000). That is, objects that meet an active desire are valued higher than those that do not: food, for example, is considered more valuable by people who are hungry than by people who are not. This outcome is called a valuation effect. In contrast, activating a focal need (e.g., to eat) makes objects unrelated to that need (e.g., shampoo) less valuable, and thus this outcome is referred to as a devaluation effect. Furthermore, according to the associative model of goals in the structure of goal systems, a change in the perceived instrumentality of a given means is caused by the strength of the association between the means and the goal, with stronger associations leading to higher perceived instrumentality (Kruglanski et al. 2002). For example, associating a means with additional goals dilutes the functional association between the means and the original goal, lowering the perceived instrumentality of the means and one`s actual preference for it when only the original goal is pursued (Zhang, Fishbach, and Kruglanski 2007). Build

Influence of Temperature on Microsporidian Multiplication and Spore Production in Various Tissues of Silkworm (Bombyx mori L.) During Larval Development

Mohanan N. Madana,Krishnan N.,Mitra P.,Das K.K.,Saratchandra B.,Haldar D.P. Korean Society of Sericultural Science 2006 International Journal of Industrial Entomology Vol.12 No.2

Multiplication and spore production of three microsporidia viz., Nosema bombycis, Nosema sp. 1 and Nosema sp. 2 in fifth instar larval tissues of silkworm, Bombyx mori L. in two seasons with distinct temperature regimes were studied. Nosema sp. 2 produced significantly (P < 0.01) higher number of spores in various tissues. Among the tissues, spore production was highest in silk gland, followed by fat body and gut. Spore production was significantly (P < 0.01) higher in season-II (Average temperature $29.4{\pm}1.1^{\circ}C$). Maximum spore production was observed 25 days post inoculation (p. i.) in season-I (Average temperature $18.9{\pm}1.1^{\circ}C$), whereas in season-II, it was 14 days p. i. In season-I, spore production was low up to 21 days p. i., then increased sharply. In season-II, there was a steady increase in spore production. The results indicate that the microsporidian multiplication is tissue specific and extremely sensitive to temperature at which the host is reared. It also reveals that, silk gland, fat body and gut are the most appropriate tissues for microscopic identification of microsporidia in the larval stage.

다치양자논리에 의한 다중제어 Toffoli 게이트의 실현

박동영 ( Dong Young Park ) 한국항행학회 2012 韓國航行學會論文誌 Vol.16 No.1

다중제어 Toffoli(multiple-control Toffoli, MCT) 게이트는 원시 게이트에 의존적인 양자 기술을 필요로 하는 매크로 레벨 다치(multiple-valued) 게이트이며, Galois Field sum-of-product(GFSOP)형 양자논리 함수의 합성에 사용되어 왔다. 가역 논리는 저전력 회로 설계를 위한 양자계산(quantum computing, QC)에서 매우 중요하다. 본 논문은 먼저 GF4 가역 승산기를 제안한 후 GF4 승산기 기반의 quaternary MCT 게이트 실현을 제안하였다. MCT 게이트 실현을 위한 비교에서 제안한 MCT 게이트가 다중제어 입력이 증가할수록 종전의 작은 MCT 게이트 합성 방법보다 원시 게이트 수와 게이트 지연을 상당량 줄일 수 있음을 보였다. Multiple-control Toffoli(MCT) gates are macro-level multiple-valued gates needing quantum technology dependent primitive gates, and have been used in Galois Field sum-of-product (GFSOP) based synthesis of quantum logic circuit. Reversible logic is very important in quantum computing for low-power circuit design. This paper presents a reversible GF4 multiplier at first, and GF4 multiplier based quaternary MCT gate realization is also proposed. In the comparisons of MCT gate realization, we show the proposed MCT gate can reduce considerably primitive gates and delays in contrast to the composite one of the smaller MCT gates in proportion to the multiple-control input increase.

A Study on the Variable Factors of Production Quantities for Passenger Vehicles based on Characteristics of Korean Automotive Industry

Min-Kyu Lee(이민규),Kwang-Sup Shin․,(신광섭) 중앙대학교 한국전자무역연구소 2017 전자무역연구 Vol.15 No.1

연구목적: 본 연구는 국내 승용차 생산량의 상관성, 추세, 계절성을 실증 분석하고, 선행 연구를 고찰하여 승용차 생산량에 영향을 주는 독립변수를 선정하였다. 다중회귀분석을 통해 독립변수가 승용차 생산량에 끼치는 영향을 분석한 후, 실제 국내 승용차 산업 현실과 부합하는지 검증하였다. 논문구성/논리: 본 연구는 다섯 개의 장으로 구성되어 있다. 1장은 서론으로 연구의 배경과 목적을 설명하였고, 2장에서는 자동차 산업의 거래 특성, 시장 변화, 수요 특성과 관련된 선행연구를 고찰하였다. 3장 실증분석은 국내 승용차 생산량의 상관성, 추세, 계절성을 분석하였고, 선정된 독립변수와 종속변수로 다중회귀분석을 수행하였다. 4장 결과분석에서는 다중회귀분석을 통해 도출된 각 회귀모형의 설명력과 적합도를 분석하였고, 유의한 독립변수가 회귀모형에 끼친 영향력을 환경 요인 과 경제 요인 측면에서 분석하였다. 마지막 5장에서 연구의 결과를 요약하고 시사점을 논하였다. 결과: 다중회귀모형의 독립변수로 선정된, 휴무 가변수, 달러대 원화 환율, 주유소 평균 유가, 승용차 생산자물가지수, 자동차 제조업 경기실사지수는 모두 승용차 생산량 변동에 유의한 영향을 주었다. 특히, 원화 환율 상승은 수출 주력 차종인 일반소형과 일반중형 승용차 생산량을 증가시켰으므로, 환율 변화 추이로 수출 주력 차종의 생산량 변화를 예상할 수 있다. 더불어 유가 상승기에는 승용차 내수 판매 위축보다 산유국으로 수출이 증가하는 효과가 크게 나타나므로, 승용차 생산량의 증가를 예상할 수 있다. 이를 통해 부품업체는 부품이 장착될 승용차의 생산량 변동을 합리적으로 추정할 수 있고, 효과적인 생산·재고·수요관리를 수행할 수 있다. 독창성/가치: 자동차 산업의 수요와 관련된 기존 연구는 자동차 총 수요의 예측이나 특정 기술의 자동차 수요 예측에 집중되어 있고, 수요예측 결과로 미래 자동차 산업을 전망하는데 그치고 있다. 본 연구는 한국에서 제조되는 승용차를 유형과 크기로 구분하여 월 단위의 생산량 변동에 영향을주는 변수와 변수의 영향력을 분석하였다. 나아가 변수들을 환경 요인과 경제 요인으로 나누어 국내 승용차 산업 현실과 부합하는지 검증하였다. 특히, 경제 요인에 해당되는 변수가 승용차 생산량 변동에 끼친 영향을 승용차 수출량의 변화로 규명하였다. Purpose: The purpose of this study is to analyze the characteristics and factors affecting changes in production quantities for passenger vehicles. In view of this, a multiple regression analysis was performed to judge the factors that affected changes in volumes of passenger vehicle production. After analyzing the influence of independent variables on the regression models, the result was verified as to whether it matches with the actual situation of the passenger vehicle industry in Korea. Composition/Logic: This paper is composed of five sections. In section 2, previous studies covering the characteristics of trade, demand, and market changes in the automotive industry are reviewed. The correlation, trend, and seasonality of actual automobile production volumes have been corroborated in section 3. In section 4, the regression models have been developed to understand the relationship between dependent and independent variables through the multiple regression analysis. In addition, the results of analysis are explained based on the characteristics of the Korean automotive market. Lastly, section 5 concludes by summarizing contributions and offering recommendations for future works. Findings: All independent variables, namely holiday dummy variables, USD–KRW exchange rate, average oil price, passenger vehicle producer price index, and business survey index of the automotive industry, in the regression models are statistically significant. Especially, a rise in the exchange rate influenced the export volumes of small and mid-sized vehicles, and rising oil prices were affecting the export volumes to the Middle Eastern countries. These results allow part suppliers to predict production quantities of passenger vehicles reasonably, making it possible to control demand and inventory effectively. Originality/Value: Prior research on demand in the automotive industry has focused on either predicting the total demand for automobiles or on predicting the demand for specialized vehicles with certain technologies. Especially, they concluded by overlooking the market based on the results of demand forecasting. In this study, the variable factors of monthly production volumes in the passenger vehicle industry have been analyzed considering the sizes and types. Furthermore, all dependent variables were classified on the basis of environmental and economic factors to verify the impact of export volumes in the marketplace.

한국 자동차 산업의 특성을 고려한 승용차 생산량 변동 요인에 관한 연구

이민규,신광섭 중앙대학교 한국전자무역연구소 2017 전자무역연구 Vol.15 No.1

Purpose: The purpose of this study is to analyze the characteristics and factors affecting changes in production quantities for passenger vehicles. In view of this, a multiple regression analysis was performed to judge the factors that affected changes in volumes of passenger vehicle production. After analyzing the influence of independent variables on the regression models, the result was verified as to whether it matches with the actual situation of the passenger vehicle industry in Korea. Composition/Logic: This paper is composed of five sections. In section 2, previous studies covering the characteristics of trade, demand, and market changes in the automotive industry are reviewed. The correlation, trend, and seasonality of actual automobile production volumes have been corroborated in section 3. In section 4, the regression models have been developed to understand the relationship between dependent and independent variables through the multiple regression analysis. In addition, the results of analysis are explained based on the characteristics of the Korean automotive market. Lastly, section 5 concludes by summarizing contributions and offering recommendations for future works. Findings: All independent variables, namely holiday dummy variables, USD–KRW exchange rate, average oil price, passenger vehicle producer price index, and business survey index of the automotive industry, in the regression models are statistically significant. Especially, a rise in the exchange rate influenced the export volumes of small and mid-sized vehicles, and rising oil prices were affecting the export volumes to the Middle Eastern countries. These results allow part suppliers to predict production quantities of passenger vehicles reasonably, making it possible to control demand and inventory effectively. Originality/Value: Prior research on demand in the automotive industry has focused on either predicting the total demand for automobiles or on predicting the demand for specialized vehicles with certain technologies. Especially, they concluded by overlooking the market based on the results of demand forecasting. In this study, the variable factors of monthly production volumes in the passenger vehicle industry have been analyzed considering the sizes and types. Furthermore, all dependent variables were classified on the basis of environmental and economic factors to verify the impact of export volumes in the marketplace.

스마트 공장을 위한 유연 제조 시스템

박경수(Kyungsu Park),김우성(Woo-sung Kim) 한국경영과학회 2017 韓國經營科學會誌 Vol.42 No.4

Due to rapid market changes, customized demands, and the upcoming era of smart factories, flexible manufacturing systems are becoming more prevalent. Multiple types of customized products are being produced in the same production line, in which each machine should be flexible enough to serve those types. This paper studies a two-machine production line with Bernoulli reliability machines for multiple types of products. Each product type has dedicated buffers. Given that scheduling and control polices play a critical role in ensuring efficient production, three prevalent control policies are considered: priority-, cyclic-, and work-in-process (WIP)-based policies. The solutions are derived based on the Markov chain models. In addition, system properties, such as non-conservation of flow, monotonicity, and asymptotic behavior, are addressed theoretically and numerically.

Approximate Life Cycle Assessment of Product Concepts Using Multiple Regression Analysis and Artificial Neural Networks

Park, Ji-Hyung,Seo, Kwang-Kyu The Korean Society of Mechanical Engineers 2003 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.17 No.12

In the early phases of the product life cycle, Life Cycle Assessment (LCA) is recently used to support the decision-making for the product concepts, and the best alternative can be selected based on its estimated LCA and benefits. Both the lack of detailed information and time for a full LCA for a various range of design concepts need a new approach for the environmental analysis. This paper explores a new approximate LCA methodology for the product concepts by grouping products according to their environmental characteristics and by mapping product attributes into environmental impact driver (EID) index. The relationship is statistically verified by exploring the correlation between total impact indicator and energy impact category. Then, a neural network approach is developed to predict an approximate LCA of grouping products in conceptual design. Trained learning algorithms for the known characteristics of existing products will quickly give the result of LCA for newly designed products. The training is generalized by using product attributes for an EID in a group as well as another product attributes for the other EIDs in other groups. The neural network model with back propagation algorithm is used, and the results are compared with those of multiple regression analysis. The proposed approach does not replace the full LCA but it would give some useful guidelines for the design of environmentally conscious products in conceptual design phase.