April - June 2007 - Kasetsart University

More documents

Recommendations

Info

382 Figure 1 The two-stage manufacturing system. k w c w the WIP delivery performance to stage- 2 manufacturing process the unit inventory cost of WIP Stage 2 j index of raw materials in stage 2; j = {1, 2,…, n} p2,j the on-time delivery performance of supplier j * q2, j q 2,j x2,j k2,j the quantity of stage-2 raw material j that is delivered on time the quantity of stage-2 raw material j that is ordered the safety stock of stage-2 raw material j the delivery performance to manufacture of stage-2 raw material j <strong>Kasetsart</strong> J. (Nat. Sci.) 41(2) c 2,j p s2 the unit inventory cost of stage-2 raw material j qp the stage-2 manufacturing performance the quantity of finished product that is required xp the safety stock of finished product kp The finished product delivery cp performance to customer the unit inventory cost of finished product co the unit opportunity cost of finished product that is not delivered on time As in Maia and Qassim (1999), the ontime delivery performance of supplier i and the on-time delivery performance of supplier j could be calculated from the past data records, using Equations (1) and (2), respectively.
p 1, i * <strong>Kasetsart</strong> J. (Nat. Sci.) 41(2) 383 q1, i = (1) q 1, i * q2, i p2, i = (2) q2, i If the manufacturer held safety stocks for every raw material, the delivery performances to manufacture of stage-1 raw material i and stage-2 raw material j could be defined as in Equations (3) and (4), respectively. k 1, i * 1i 1, i 1, i q , + x = q x1, i = p1, i + q ∀ i = {, 12K , , m} 1, i * q2, j + x2, j x2, j k2, j = = p2, j + q2, j q2, j ∀ j = {, 12K , , n} (4) The inventory cost of the safety stock of each raw material could be computed from Equations (5) or (6) as follows. C1, i = c1, ix1, i = c1, iq1, i( k1, i − p1, i) ∀ i = {, 12K , , m} (5) C2, j = c2, jx2, j = c2, jq2, j( k2, j − p2, j) ∀ j = {, 12K , , n} (6) The manufacturing performance of stage-1 process, ps1 , was defined as the ratio between ontime and planned production, accounting for all delays that may occur, but excluding those caused by material stockouts. The ps1 could be found from Equation (7). The WIP delivery performance to stage- 2 manufacturing process, kw, was given in Equation (8). p s1 = q q * w w m x kw = ps k i + w 1∏ 1, i= 1 q (8) w The inventory cost of the WIP safety stock could be calculated from Equation (9). m Cw = cwxw = cwqw( kw − ps ∏ k i) 1 1, (9) i= 1 Similarly, the manufacturing performance of stage-2 process, ps2 , the product delivery performance, kp, and the product inventory cost could be calculated as follows. p s2 = q q * p p x kp = ps kw k j + 2 ∏ 2 q n j= 1 (3) (7) (10) p , p (11) C = c x = c q ( k − p k k ) p p p p p p s2w 2, j j= 1 n ∏ (12)
Page 1 and 2:
April - June 2007 Volume 41 Number
Page 3 and 4:
KASETSART JOURNAL NATURAL SCIENCE T
Page 5 and 6:
Kasetsart J. (Nat. Sci.) 41 : 205 -
Page 7 and 8:
harvesting time which started from
Page 9 and 10:
y Chen and Paull (2000). Figure 1 a
Page 11 and 12:
pineapple fruit allowed the accumul
Page 13 and 14:
Page 15 and 16:
Kasetsart J. (Nat. Sci.) 41(2) 215
Page 17 and 18:
Cluster analysis Cluster analysis u
Page 19 and 20:
Page 21 and 22:
Table 3 (Continued) 1 2 3 4 5 6 7 8
Page 23 and 24:
Page 25 and 26:
CONCLUSION AFLP markers classified
Page 27 and 28:
Page 29 and 30:
difference of soil texture used in
Page 31 and 32:
under wet soil condition planting.
Page 33 and 34:
tropics. Following the expansion, w
Page 35 and 36:
sealed in a plastic box with 1 cm w
Page 37 and 38:
moisture content increment after so
Page 39 and 40:
Frequency Frequency 30 20 10 0 20.0
Page 41 and 42:
School, Kasetsart University. The a
Page 43 and 44:
for combining ability of lines (Lam
Page 45 and 46:
selective mass sibbing within indiv
Page 47 and 48:
Although most of S 2-interfamily hy
Page 49 and 50:
composite sets as used in this stud
Page 51 and 52:
Page 53 and 54:
days. The numbers of calli producin
Page 55 and 56:
the report of Ching (1982) showing
Page 57 and 58:
clearly amplified bands generated b
Page 59 and 60:
caused by either the recombination
Page 61 and 62:
Kuhlmann, V. and B. Foroughi-Wehr.
Page 63 and 64:
Xanthomonas fuscans subsp. aurantif
Page 65 and 66:
Page 67 and 68:
was collected and washed with 70% e
Page 69 and 70:
expected size was amplified with 35
Page 71 and 72:
eaction technique has been used for
Page 73 and 74:
Schaad, N.W., D. Opgenorth and P. G
Page 75 and 76:
MATERIALS AND METHODS Model descrip
Page 77 and 78:
Page 79 and 80:
calculated TF value calculated TF v
Page 81 and 82:
sincere gratitude and deep apprecia
Page 83 and 84:
1989). In monogastrics, the inclusi
Page 85 and 86:
of all LLS samples in this study we
Page 87 and 88:
Melbourne, Parkville, Victoria. Goe
Page 89 and 90:
considered responsible for low prod
Page 91 and 92:
Page 93 and 94:
mineral supplementation suggested b
Page 95 and 96:
Body weight chane (kg/head) 32 30 2
Page 97 and 98:
CONCLUSION AND RECOMMENDATION With
Page 99 and 100:
SAS. (Statistical Analysis System).
Page 101 and 102:
genes covering a variety of desirab
Page 103 and 104:
mg/l NAA and 0.5 mg/l zeatin) incub
Page 105 and 106:
5. Purification by various sucrose
Page 107 and 108:
as the culture period increased. So
Page 109 and 110:
culture, pp. 1-20. In L.C. Fowke an
Page 111 and 112:
Page 113 and 114:
GC. Analytical methods Total carboh
Page 115 and 116:
ash. The crude hot water polysaccha
Page 117 and 118:
spirulan (H-SP), and a desulfated c
Page 119 and 120:
Page 121 and 122:
cells often displayed an increased
Page 123 and 124:
LITERATURE CITED Bell, T.A. and D.V
Page 125 and 126:
for alternative sources of supply.
Page 127 and 128:
BR2.1.2 formed the same clade with
Page 129 and 130:
supplement with glutamate (Iida et
Page 131 and 132: optimal for S. limacinum BR2.1.2 fo
Page 133 and 134: fluorescent lamp at 1.5 kLux develo
Page 135 and 136: Kasetsart J. (Nat. Sci.) 41 : 335 -
Page 137 and 138: Wisconsin, USA). Total extracted RN
Page 139 and 140: RESULTS Cloning and sequencing of m
Page 141 and 142: Expression of rmIL-2 and purificati
Page 143 and 144: other strains of mice have differen
Page 145 and 146: dose interleukin-2 therapy promotes
Page 147 and 148: The chitosano-oligosaccharides are
Page 149 and 150: enzyme and cells were maximized by
Page 151 and 152: of crude chitosanases. Fortunately,
Page 153 and 154: Relative activity (%) 100 80 60 40
Page 155 and 156: Uchida, K. Tateishi, O. Shida and K
Page 157 and 158: MATERIALS AND METHODS 1. Materials
Page 159 and 160: without coating and coated with pec
Page 161 and 162: in Table 5-7. It was found that the
Page 165 and 166: the cultures at 10,200 × g for 15
Page 167 and 168: incubation and reached the final pH
Page 169 and 170: y lysine- and tyrosine-decarboxylas
Page 171 and 172: during the stages of ripening as su
Page 175 and 176: As the 25 companies were divided in
Page 177 and 178: All the data comes up with informat
Page 179 and 180: as piece “A” or straight as pie
Page 181: et al. (1998); Zeng (2000); and Tal
Page 185 and 186: c ≤ c2 jq2 j n q p k p * 2, j , ,
Page 187 and 188: algorithm would consider RM 5, prio
Page 189 and 190: Kasetsart J. (Nat. Sci.) 41(2) 389
Page 191 and 192: the maximum deviation of about 10%.
Page 193 and 194: Stock Quantities Using Heuristic Op
Page 195 and 196: which dynamically and automatically
Page 197 and 198: 2. Framework architecture and compo
Page 199 and 200: Risk (VaR) calculation which was im
Page 201 and 202: Throughput (job/sec) 7 6 5 4 3 2 1
Page 203 and 204: Speed up 40 35 30 25 20 15 10 5 0 F
Page 205 and 206: and discovery, resource selection a
show all

April - June 2007 - Kasetsart University

You also want an ePaper? Increase the reach of your titles

Delete template?

Save as template?