A bit-wise mutation algorithm for mixed-model sequencing in JIT production systems

2015 ◽  
Vol 53 (19) ◽  
pp. 5931-5947 ◽  
Author(s):  
K.P. Abdul Nazar ◽  
V. Madhusudanan Pillai
2014 ◽  
Vol 1036 ◽  
pp. 864-868 ◽  
Author(s):  
Marcin Zemczak ◽  
Damian Krenczyk

The paper presents the task scheduling issue, which main aim is to establish a proper sequence of tasks, that would maximize the utilization of companys production capacity. According to the literature sources, the presented sequencing problem, denoted as CSP (Car Sequencing Problem) belongs to the NP-hard class, as has been proven by simple reduction from Hamiltonians Path problem. Optimal method of solution has not yet been found, only approximate solutions have been offered, especially from the range of evolutionary algorithms. Regardless of specific production system, while considering reception of new tasks into the system, current review of the state of the system is required in order to decide whether and when a new order can be accepted for execution. In this paper, the problem of task scheduling is limited to the specific existing mixed-model production system. The main goal is to determine the effective method of creation of task sequence. Through the use of computational algorithms, and automatic analysis of the resulting sequence, rates of production are able to be checked in a real time, and so improvements can be proposed and implemented.


2012 ◽  
Vol 50 (19) ◽  
pp. 5597-5614 ◽  
Author(s):  
Monami Das Roy ◽  
Shib Sankar Sana ◽  
Kripasindhu Chaudhuri

2020 ◽  
Vol 98 (Supplement_4) ◽  
pp. 46-47
Author(s):  
Sarah C Klopatek ◽  
Toni Duarte ◽  
Crystal Yang ◽  
James W Oltjen

Abstract With demand for grass-fed beef continuing to increase, there is an immediate need to determine animal performance and product quality from varying grass-fed systems. Therefore, using a whole systems approach, we investigated the performance and carcass quality of multiple grass-fed beef systems in California. The treatments included: 1) steers stocked on pasture, then feedyard finished for 140 days (CON); 2) steers grass-fed for 20 months (20GF); 3) steers grass-fed for 20 months with a 45-day grain finish (GR45); and 4) steers grass-fed for 25 months (25GF). The data were analyzed using a mixed model procedure in R. Final body weight (FBW) varied significantly between treatments (P < 0.05) with the CON cattle finishing at 626 kg and GF20 finishing with the lowest FBW of 478 kg. There were no significant differences in FBW between GF45 and GF25 treatments (P > 0.05), with FBW equaling 551 kg and 570 kg, respectively. Dressing percentage (DP) differed significantly between all treatments (P < 0.05), with CON DP at 61.8%, followed by GR45 at 57.5%, GF25 at 53.4%, and GF20 at 50.3%. Marbling scores and quality grades were significantly higher for CON compared to all other treatments (P < 0.05), with a marbling score of 421; 14% of CON animals graded select and 85% graded choice or upper choice. Cattle in the GR20 had the lowest marbling score of 285 (P < 0.05); 59% of the GR20 cattle graded select and 41% graded standard. There was no difference in marbling when comparing the GF25 and GR45 (P > 0.5). In addition, carcasses graded similarly between the two treatments with GF25 grading 13% standard 82% select, and 6% choice, GR45 graded 85% select and 15% choice. The findings from this study indicate that varying CA grass-fed beef production systems results in significant differences in both animal performance and meat quality.


2020 ◽  
Vol 60 (13) ◽  
pp. 1643
Author(s):  
J. C. Greeff ◽  
L. J. E. Karlsson

Context Production losses, due to worms and anthelmintic costs to control the infection, can affect the profitability of sheep production systems. Aims This study was carried out to quantify the production benefits of worm-resistant sheep. Methods Genetically worm-resistant and unselected control Merino rams were mated annually to 150 ewes in each of the Resistant and Control lines respectively over an 8-year period. All ewes and their progeny were managed in small replicated paddocks to prevent any cross-contamination between paddocks and groups. Fertility, growth, wool production, wool quality and worm resistance were measured on the ewes and their progeny. The data were analysed using mixed model methodology. Key results The progeny of the Resistant sires were on average 21–25% more worm resistant than the progeny of the Control sires. No significant differences were recorded in reproduction between mature ewes of the Resistant and Control lines, or in the survival rate of their lambs. Resistant line progeny were on average 1.6 kg heavier at weaning, received 15–17% less drenching during the experiment and produced on average 0.3 μm finer wool at hogget shearing than the Control line progeny. Conclusions It is concluded that the Resistant line coped better with a worm challenge and that this resulted in increased production. Implications This study shows that apart from improved worm resistance, there are associated production benefits in breeding for worm resistance.


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