In this paper, we studied ant colony optimization for solving integrated scheduling of production and distribution problems. We improved the ant colony optimization by adding double selections, there are roulette wheel and elitism selections. Roulette wheel selection is used to determine the path where ants pass through before knowing pheromone information in that path. Meanwhile, elitism selection is used to keep the best solution before the more optimum solution obtained. Then, ant colony optimization and improved ant colony optimization are implemented in solving integrated scheduling of production and distribution problem in PT. BFPI. The aim of this paper is to achieve optimum production and distribution schedule in order to minimize the total cost of production and distribution. We also compare the performance of both applied methods and draw a conclusion. The results show that the method we proposed has more advantage.
Motorcycles as a mode of transportation its use continues to increase in the Surabaya City. One of the negative impacts is motorcycle accidents to increase. Based on IRSMS data are the involvement of motorcycles in the accidents of 82.6% (2,490 motorcycle accidents out of 3,014 accidents in Surabaya from 2014-February 2017). This study was conducted to define the variables that provide opportunities for motorcycle accidents. Three approaches are used to determine the variables that provide probability for motorcycle accidents, which are based on socioeconomic , movement and behavior characteristics. Logistic regression analysis is used to obtain the variable that has an effect on the probability of motorcycle accident. The results of research, the socioeconomic characteristics that provide probabilities for motorcycle accidents that are gender and education. Based on the characteristics of movement, the chance of motorcycle accident is influenced by the frequency of motorcycle usage. While based on behavioral characteristics, preceding habits from the left have an effect on the chance of motorcycle accident.
In this paper, we discussed graph labelings that the distance irregular labeling within which will be presented the results of the distance irregularity strength of ladder graph and triangular ladder graph. The distance irregular labeling on a graph G with v vertices is defined as an assignment λ : V → {1, 2, • • • , k} so that the weights calculated at vertices are distinct. The weight of a vertex x in G is defined as the sum of the labels of all the vertices adjacent to x (distance 1 from x), that is, wt(x) = Σ y∈N (x) λ(y). The distance irregularity strength of G, denoted by dis(G), is the minimum value of the largest label k over all such irregular assignments.
<p>Leaders and Followers algorithm was a novel metaheuristics proposed by Yasser Gonzalez-Fernandez and Stephen Chen. In solving unconstrained optimization, it performed better exploration than other well-known metaheuristics, e.g. Genetic Algorithm, Particle Swarm Optimization and Differential Evolution. Therefore, it performed well in multi-modal problems. In this paper, Leaders and Followers was modified for constrained non-linear optimization. Several well-known benchmark problems for constrained optimization were used to evaluate the proposed algorithm. The result of the evaluation showed that the proposed algorithm consistently and successfully found the optimal solution of low dimensional constrained optimization problems and high dimensional optimization with high number of linear inequality constraint only. Moreover, the proposed algorithm had difficulty in solving high dimensional optimization problem with non-linear constraints and any problem which has more than one equality constraint. In the comparison with other metaheuristics, Leaders and Followers had better performance in overall benchmark problems.</p>
<div class="standard"><a id="magicparlabel-11">Model persediaan digunakan untuk menentukan kebijakan mengawasi tingkat persediaan. Oleh sebab itu keberadaan persediaan perlu dikelola dengan baik sehingga diperoleh kinerja yang optimal. Penelitian ini bertujuan untuk menghasilkan model integrasi produksi–distribusi untuk produk deteriorasi dengan kebijakan backorder. Model persediaan Economic Order Quantity (EOQ) Single Item digunakan sebagai dasar pengembangan model. Algoritma pencarian solusi model dibuat untuk mendapatkan solusi dari model. Selain itu pada bagian akhir diberikan studi kasus implementasi model di UD. Bagus Agrista Mandiri, Batu.</a></div>
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