Local consumption is considered to have a positive environmental and social impact. A new supply chain strategy has been devised to provide small and medium-sized local farms with enhanced efficiency and accessibility: a bidirectional distribution. Bidirectional distribution is a practice of backhauling local produce on emptied wholesale trucks for redistribution through wholesale markets while employing the existing network of rural stores and wholesale suppliers. Building on the cue utilization theory, this study investigated the effect of product information about bidirectional distribution on consumers’ perceived environmental value, personal well-being value, quality beliefs, and community social and economic value.

Many of companies have made significant improvements for globalization and competitive business environment The supply chain management has received many attentions in the area of that business environment. The purpose of this study is to generate realistic production and distribution planning in the supply chain network. The planning model determines the best schedule using operation sequences and routing to deliver. To solve the problem a hybrid approach involving a genetic algorithm (GA) and computer simulation is proposed. This proposed approach is for: (1) selecting the best machine for each operation, (2) deciding the sequence of operation to product and route to deliver, and (3) minimizing the completion time for each order. This study developed mathematical model for production, distribution, production-distribution and proposed GA-Simulation solution procedure. The results of computational experiments for a simple example of the supply chain network are given and discussed to validate the proposed approach. It has been shown that the hybrid approach is powerful for complex production and distribution planning in the manufacturing supply chain network. The proposed approach can be used to generate realistic production and distribution planning considering stochastic natures in the actual supply chain and support decision making for companies.

Maintenance of power distribution facilities is a significant subject in the power supplies. Fault caused by deterioration in power distribution facilities may damage the entire power distribution system. However, current methods of diagnosing power distribution facilities have been manually diagnosed by the human inspector, resulting in continuous pole accidents. In order to improve the existing diagnostic methods, a thermal image analysis model is proposed in this work. Using a thermal image technique in diagnosis field is emerging in the various engineering field due to its non-contact, safe, and highly reliable energy detection technology. Deep learning object detection algorithms are trained with thermal images of a power distribution facility in order to automatically analyze its irregular energy status, hereby efficiently preventing fault of the system. The detected object is diagnosed through a thermal intensity area analysis. The proposed model in this work resulted 82% of accuracy of detecting an actual distribution system by analyzing more than 16,000 images of its thermal images.

This study was conducted to investigate whether the presence of mcy gene and microcystin production are related to morphological characteristics of Korean Microcystis species. We isolated 6 different species of Microcystis (M. aeruginosa, M. ichthyoblabe, M. flos-aquae, M. novacekii, M. viridis and M. wesenbergii) from drinking water supply dams (Yeongchun, Ankei, Gachang), and used microscopic method for morphological identification, molecular method for amplifying a partial region of mcyB gene and ELISA method for microcystin analysis. In the present study, 80% of M. aeruginosa strains contained mcy gene, followed by 45% (10 strains) of M. icthyoblabe, 33% (1 strain) of M. wesenbergii, and 11% (4 strains) of M. flos-aquae. Each percentage of mcy gene in Microcystis morphospecies was similar to that of microcystin production in Microcystis morophospecies. In conclusion, the present study shows that molecular method using mcy gene primers can be used as an indirect indicator for the monitoring of toxic cyanobacteria (Microcystis).

The water distribution system should be invariably operated on continuous pattern for 24 hours a day. Occasionally, it is not practically possible to operate for 24 hours due to water shortage or financial constraints. Therefore an intermittent water supply is unavoidable in water shortage area and developing countries.But the intermittent water supply can introduce large pressure forces and rapid fluid accelerations into a water supply network. These disturbances may result in new pipe failure, leakage and secondary contamination.This paper proposed an improvement methodology to prevent the disturbances by intermittent water supply. For the study, the hydraulic variation of intermittent flow in water distribution system was measured and analyzed in the field by comparing with simulation of hydraulic model. Installations of control valves such as, pressure reducing and sustaining and air valves were employed for pressure and flow control. The effectiveness of the methods are presented by comparing hydraulic conditions before and after introducing the proposed solutions.

질산태 질소의 공급수준이 알팔파의 영양생장기 동안의 질소동화와 성장 및 재생기간 동안의 뿌리조직내 전분과 질소 축적에 미치는 영향을 규명하고자 0.2, 1.0 및 3.0 mM KN 하에서 10주 동안의 영양생장 후 건물 및 질소 화합물의 식물조직내의 분포를 분석하고, 24일간 1차 및 2차 재생을 각각 시킨 후 뿌리조직에 축적된 전분과 질소 함량을 분석하였다. 10간의 영양생장 후 건물과 질소화합물의 함량을 1.0 mM 처리구를 기준으로 비교한 결과,

The traditional production and distribution independently schedule, which is contradictory in the pull supply chain, and this contradictory make the supply chain couldn’t reach quick responsiveness with low cost. Therefore, it needs to build up the coordinate scheduling of productiondistribution model for the pull supply chain. The paper uses the numerical test, firstly, describes the contradictory between the optimal scheduling of manufacturer and distributor; then analysis the scheduling cost of manufacturer’s major, which is widely used currently; on this basis, sets up the MILP model of coordinate scheduling of production and distribution; then come to the conclusion that the coordinate scheduling of production and distribution is better than the non-coordinated scheduling.