In recent years, business environment is faced with multi uncertainty that have not been suffered in the past. As supply chain is getting expanded and longer, the flow of information, material and production is also being complicated. It is well known that development service industry using application software has various uncertainty in random events such as supply and demand fluctuation of developer’s capcity, project effective date after winning a contract, manpower cost (or revenue), subcontract cost (or purchase), and overrun due to developer’s skill-level. This study intends to social contribution through attempts to optimize enterprise’s goal by supply chain management platform to balance demand and supply and stochastic programming which is basically applied in order to solve uncertainty considering economical and operational risk at solution supplier. In Particular, this study emphasizes to determine allocation of internal and external manpower of developers using S&OP (Sales & Operations Planning) as monthly resource input has constraint on resource’s capability that shared in industry or task. This study is to verify how Stochastic Programming such as Markowitz’s MV (Mean Variance) model or 2-Stage Recourse Model is flexible and efficient than Deterministic Programming in software enterprise field by experiment with process and data from service industry which is manufacturing software and performing projects. In addition, this study is also to analysis how profit and labor input plan according to scope of uncertainty is changed based on Pareto Optimal, then lastly it is to enumerate limitation of the study extracted drawback which can be happened in real business environment and to contribute direction in future research considering another applicable methodology.

The external R&D, which includes the adoption of the external technology and knowledge in addition to the internal R&D, is one of important factors for the innovation. Especially for small and medium-sized enterprises (SMEs), the external R&D has been considered as a key factor to carry out the innovation more efficiently due to the limitations of their resources and capacities. However, most of extant studies related to external R&D have focused on analyzing the influence of external R&D on innovation outputs or outcomes. Only a few studies have explored the impact of external R&D on the innovation efficiency. This study therefore investigates whether the external R&D effects the industry’s innovation efficiency and productivity. On this study, we used Korean manufacturing industry data of SMEs from 2012 to 2014 and employed a global Malmquist productivity analysis technique, which is based on the Data Envelopment Analysis (DEA), to assess the innovation efficiency and productivity. Innovation performances of external R&D group and internal R&D group are compared. Then, the sectoral patterns of both innovation efficiency and productivity are analyzed with respect to the technological intensity, which is introduced by OECD. The results show that the gap of innovation efficiency between external and internal R&D groups has gradually decreased because of the continuous improvement of the external R&D group’s performance, while the external R&D group lag behind the internal R&D group. In addition, patterns of the innovation efficiency and productivity change were different depending on the technological intensity, which means that the higher the technological intensity, the greater the effect of external R&D.

MTO (Make to Order) is a manufacturing process in which manufacturing starts only after a customer’s order is received. Manufacturing after receiving customer’s orders means to start a pull-type supply chain operation because manufacturing is performed when demand is confirmed, i.e. being pulled by demand (The opposite business model is to manufacture products for stock MTS (Make to Stock), which is push-type production). There are also BTO (Build to Order) and ATO (Assemble To Order) in which assembly starts according to demand. Lean manufacturing by MTO is very efficient system. Nevertheless, the process industry, generally, which has a high fixed cost burden due to large-scale investment is suitable for mass production of small pieces or ‘mass customization’ defined recently. The process industry produces large quantities at one time because of the lack of manufacturing flexibility due to long time for model change or job change, and high loss during line-down (shutdown). As a result, it has a lot of inventory and costs are increased. In order to reduce the cost due to the characteristics of the process industry, which has a high fixed cost per hour, it operates a stock production system in which it is made and sold regardless of the order of the customer. Therefore, in a business environment where the external environment changes greatly, the inventory is not sold and it becomes obsolete. As a result, the company’s costs increase, profits fall, and it make more difficult to survive in the competition.Based on the customer’s order, we have built a new method for order system to meet the characteristics of the process industry by producing it as a high-profitable model. The design elements are designed by deriving the functions to satisfy the Y by collecting the internal and external VOC (voice of customer), and the design elements are verified through the conversion function. And the Y is satisfied through the pilot test verified and supplemented. By operating this make to order system, we have reduced bad inventories, lowered costs, and improved lead time in terms of delivery competitiveness. Make to order system in the process industry is effective for the display glass industry, for example, B and C groups which are non-flagship models, have confirmed that the line is down when there is no order, and A group which is flagship model, have confirmed stock production when there is no order.

Worldwide production of mushrooms has been increasing by 10–20% every year. Recently, Pleurotus eryngii and P. nebrodensis have become popular mushroom species for cultivation. In particular, China exceeded 8.7 million tons in 2002, which accounted for 71.5% of total world output. A similar trend was also observed in Korea. Two kinds of mushrooms— Gumji (金芝; Ganoderma) and Seoji—are described in the ancient book 'Samguksagi' (History of the three kingdoms; B.C 57~A.D 668; written by Bu Sik Kim in 1145) during the Korea-dynasty. Many kinds of mushrooms are also described in more than 17 ancient books during the Chosun-dynasty (1392~1910) in Korea. Approximately 200 commercial strains of 38 species of mushrooms were developed and distributed to cultivators. The somatic hybrid variety of oyster mushroom, ‘Wonhyeongneutari,’ was developed by protoplast fusion, and distributed to growers in 1989. Further, the production of mushrooms as food was 199,829 metric tons, valued at 850 billion Korean Won (one trillion won if mushroom factory products are included) in 2015. In Korea, the major cultivated species are P. ostreatus, P. eryngii, Flammulina velutipes, Lentinula edodes, Agaricus bisporus, and Ganoderma lucidum, which account for 90% of the total production. Since mushroom export was initiated in 1960, the export and import of mushrooms have increased in Korea. Technology was developed for liquid spawn production, and automatic cultivation systems led to the reduction of production cost, resulting in the increase in mushroom export. However, some species were imported owing to high production costs for effective cultivation methods. In academia, RDA scientists have conducted mushroom genome projects since 1997. One of the main outcomes is the whole genome sequencing of Flammulina velutipes for molecular breeding. With regard to medicinal mushrooms, we have been conducting genome research on Cordyceps and its related species for developing functional foods. There are various kinds of beneficial substances in mushrooms; mushroom products, including pharmaceuticals, tonics, healthy beverages, functional biotransformants, and processed foods have also became available on the market. In addition, compost and feed can likewise be made from mushroom substrates after harvest.

2011년 이후 농식품 산업에서 연구개발 기술 자산들에 대한 평가를 수행할 때주도적으로 활용되고 있는 방법이 현금흐름할인(DCF) 방법이었으며, 최근에 종자기술 등과같은 기술자산의 경우에는 기술료 사례 정보를 기반으로 하는 기술평가를 병행하여 수행해오고 있다. 지금까지 알려진 현금흐름할인 방법은 추정되어야 할 입력변수가 많아 기술평가시에 정교한 추정이 요구되고 있다. 또한 기술료 사례 정보를 근거로 하는 거래사례비교 방법이나 업종별 산업표준(industry norm)을 적용할 때에도 평가대상 기술자산과 보다 근사한거래사례가 적용되어야 하는 것은 농식품 산업분야에서도 동일하게 고려되어야 하는 문제이다. 농식품 산업에서 기술평가 시 활용되고 있는 주요입력변수는 경제적 수명주기, 농식품업종 관련 재무적 정보, 할인율, 기술기여율 등이며, 해당 평가기관에서는 기반 정보구축과자료 최신화를 주기적으로 수행해오고 있다. 본 연구에서는 농식품 산업에서의 기존의 기술평가 시 평가결과에 가장 중요한 영향 미치는 주요변수를 탐색하고, 기술평가 입력 정보의 최신화를 통해 도출된 참조 지원정보를 활용하여 기존의 대표 평가사례들의 평가결과가 어떤 변화가 발생하였는지를 분석하였다. 또한입력자료 최신화가 기술평가 결과에 미치는 단편적 정보제공을 보완하기 위한 방안을 제시하면서 기존평가 결과와 자료 현행화 이후의 기술평가 결과를 비교 분석하였다. 이러한 분석을 수행하기 위해서 과거 농식품 산업에서 수행되었던 기술평가 사례를 선별하고 이를 바탕으로 입력변수들에 대한 민감도 분석 방법과 주요 핵심변수를 활용한 시뮬레이션 분석방법을 적용하였다. 본 연구결과는 농식품 분야에서 기술평가 시에 활용되고 있는 입력변수들에대한 자료 최신화 필요성과 핵심입력변수 기반 구축에 대한 중요한 정책적 시사점, 그리고기술가치평가 결과에 대한 보다 유용한 정보를 제공할 수 있을 것으로 기대된다.

In Korea, the production of edible mushrooms was estimated to be 614,224 ton a year. In addition, yield of L. edodes (Shiitake mushroom) was estimated to be about 37,000 ton a year. The shiitake mushroom (Phyogo mushroom in Korea) has mainly been cultivated on tree logs. However, recently, bag cultivation using sawdust is rapidly increasing yearly due to its high yield and easily process and currently, the sawdust cultivation of Phyogo mushroom is approaching to almost 50% of the cultivation in Korea. The mushroom growers faced on disposal problem of the SMS and required the available measures to recycle it without environmental hazard. Spent mushroom substrate (SMS) is the post-harvest substrate and retains a variety of bioactive substances such as extracellular enzymes, antibiotics, secondary metabolites and carbohydrates produced during mycelium and fruiting body formation. Approximately, 5 kg of mushroom substrate are needed to produce 1 kg of mushroom, and consequently about 25 million tons of spent mushroom substrate (SMS) is produced each year in Korea. Because this massive amount of SMS is unsuitable for reuse in mushroom production, it is either used as garden fertilizer or deposited in landfills, which pollutes the environment. SMS can also be considered as an easily available source of active compounds to protect plants from fungal and bacterial infections, helping alleviate the waste disposal problem in the mushroom industry and creating an eco- friendly method to reduce plant pathogens. We describe extraction of lignocellulytic enzymes and antibacterial substance from SMSs of different edible mushrooms and their potential applications.

중국 내 표고 생산비율은 23.52% 수준으로 느타 리(16.7%), 양송이(7.0%), 팽이(7.7%), 흑목이(17.7%) 등에 비해 높은 수준이며, 2104년 기준 769만톤이 생산되었다. 중국 표고는 주로 베트남, 홍콩, 말레 이시아 등에 수출되고 있으며, 호북성과 하남성의 수출이 많은 편이다. 중국의 표고산업은 복건성, 절강성, 강소성 등 연해지역으로부터 시작하여 1995년도에 중국 식용균협회에서 “남고복이” 전 략을 제정하여 현재로는 전 중국에 확산되었다. 중국 각 지역의 농산품 도매시장 내에 버섯 전문 도매구역을 가지고 있는 시장이 100여개에 이르 며, 신파디(북경), 조안시장(상해) 등 규모가 비교 적 큰 도매시장이 20여개 정도이며, 버섯 주산지 지방정부에서 건설한 절강성 경원현, 하남성 비양 현, 흑룡강성 동녕현 등 버섯전문 도매시장도 37 여개에 이른다. 판매경로별 유통은 각 지역의 농 산품 도매시장 (40%)과 각 지방 야채시장(전국적 으로 약 5만개, 30%)의 비중이 높으며, 이외에도 직접판매(호텔이나 식당가를 대상으로 주요하게 는 대도시와 연해지역의 경제 발달 지역, 약 12.5%), 각 지역 백화점(전국적으로 약 3만개, 2%), 통조림이나 가공품(10%), 보건식료품이나 가 공품(약 0.5%), 수출(약 5%) 등으로 유통된다.

The external R&D, which includes the adoption of the external technology and knowledge in addition to the internal R&D, is one of important factors for the innovation. Especially for small and medium-sized enterprises(SMEs), the external R&D has been considered as a key factor to carry out the innovation more efficiently due to the limitations of their resources. However, most studies related to external R&D have focused on innovation outputs or outcomes. Only a few studies have explored the impact of external R&D on the innovation efficiency. This study therefore investigates whether the external R&D effects the industry’s innovation efficiency and productivity. On this study, we used Korean manufacturing industry data of SMEs from 2012 to 2014 and employed a global Malmquist productivity analysis technique, which is based on the Data Envelopment Analysis(DEA), to assess the innovation efficiency and productivity. Then, the sectoral patterns of both innovation efficiency and productivity are analyzed with respect to the technological intensity, which is introduced by OECD. We show that the gap of innovation efficiency between external and internal R&D groups has gradually decreased because of the continuous improvement of the external R&D group’s performance, while the external R&D group lag behind the internal R&D. In addition, patterns of the innovation efficiency and productivity change were different depending on the technological intensity, which means that the higher the technological intensity, the greater the effect of external R&D.