|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
หัวเรื่อง:ไม่มีชื่อไทย (ชื่ออังกฤษ : A Mixed Integer Linear Programming Model for Optimal Production Planning in Tangerine Supply Chain) ผู้เขียน:ดร.ชัยมงคล ลิ้มเพียรชอบ, ผู้ช่วยศาสตราจารย์ สื่อสิ่งพิมพ์:pdf AbstractTangerine is a variety of mandarin orange and the major export fruit of Thailand, with increased exports each year. There are tangerine production plants across the country, especially in the northern and central regions. For marketing reasons, there is a strong need for a reliable decision tool to manage the whole business. To address this problem, a harvesting and production planning model was developed as a realistic planning model of a production plant for the tangerine supply chain in the northern region. The supply chain problem was formulated as a mixed-integer linear programming model. Analysis of the optimization results when compared with traditional planning showed that the proposed model can save up to 10.16% of the operational cost. In addition, the model can be applied to estimate the tangerine processing capacity of the facility in order to establish future sales policies. |
ที่มา:KASETSART UNIVERSITY FISHERIES RESEARCH BULLETINหัวเรื่อง:ไม่มีชื่อไทย (ชื่ออังกฤษ : Microsatellite Variation among Domesticated Populations of Channel Catfish {Ictalurus punctatus) and Blue Catfish {I.furcatus)) ผู้เขียน:ธนาทิพย์ แหลมคม, Huseyin Kucuktas, Zhanjiang Liu, Ping Li, ดร.อุทัยรัตน์ ณ นคร, ศาสตราจารย์, Sirawut Klinbunga, Alison Hutson, Atra Chaimongkol, Joseph Ballenger, Gloria Umali, Rex A. Dunham สื่อสิ่งพิมพ์:pdf AbstractGenetic variability between and within 15 and 5 domesticated lines and strains of channel catfish Ictalurus punctatus and blue catfish, I.furcatus respectively was examined utilizing eight microsatellite loci. The channel catfish populations were more variable than blue catfish populations. Pairwise comparisons revealed significant genetic differentiation in all population pairs. Substantial genetic differentiation over all population of channel catfish and blue catfish was observed (FST = 0.2043 and 0.2371 respectively). Among channel catfish populations, there were five main clusters: 1) GK, AS and GKal, 2) SI, S2 and MR, 3) MS, TA and ARMK, 4) T, AF and AR1, and, 5) KR, MK and KS. Among blue catfish, there were two clusters: 1) ARR and DxR, and 2) D, R and AR2. The analysis of molecular variance (AMOVA) indicated slight genetic variability at the group level, channel catfish and blue catfish group (15.05%), population level of channel catfish (20.42%) and blue catfish (23.71%), and individual level of channel catfish (14.16%) and blue catfish (2.13%). Knowledge of the genetic composition of domesticated populations can be applied to maintain and monitor genetic variation, genetic conservation, and be incorporated into breeding programs. |
|
|