This paper proposes an algorithm for the Unrelated Parallel Machine Scheduling Problem(UPMSP) without setup times, aiming to minimize total tardiness. As an NP-hard problem, the UPMSP is hard to get an optimal solution. Consequently, practical scenarios are solved by relying on operator's experiences or simple heuristic approaches. The proposed algorithm has adapted two methods: a policy network method, based on Transformer to compute the correlation between individual jobs and machines, and another method to train the network with a reinforcement learning algorithm based on the REINFORCE with Baseline algorithm. The proposed algorithm was evaluated on randomly generated problems and the results were compared with those obtained using CPLEX, as well as three scheduling algorithms. This paper confirms that the proposed algorithm outperforms the comparison algorithms, as evidenced by the test results.

Ganoderma applanatum is one of the most popular medicinal mushrooms due to the various biologically active components it produces. In order to study for the possibility of artificially cultivating G. applanatum, we investigated the growth status of G. applanatum mycelium using oak sawdust bottle(850 ml). It took approximately 17~27 days for G. applanatum cultivation and 15~16 days for G. lucidum cultivation with sawdust until the mycelial growth was complete. The weight of dried fruiting bodies showed that G. applanatum GBGA-01 weighed 16.0±7.4 g, and G. lucidum ASI 7125 weighed 7.9±2.7g. The thickness of the pileus was measured as 10.6±2.6 mm for G. applanatum GBGA-01, 16.3±8.7 mm for G. applanatum ASI 52823 and 8.6±3.5 mm for G. lucidum ASI 7125. The color of Ganoderma spp. showed that L degree was 55.5±1.1 for the contex of G. applanatum GBGA-01, 47.7±2.2 for the contex of G. applanatum ASI 52823 and 39.6±2.9 for the contex of G. lucidum ASI 7125.

This paper is proposing a novel machine scheduling model for the unrelated parallel machine scheduling problem without setup times to minimize the total completion time, also known as “makespan”. This problem is a NP-complete problem, and to date, most approaches for real-life situations are based on the operator’s experience or simple heuristics. The new model based on the Memetic Algorithm, which was proposed by P. Moscato in 1989, is a hybrid algorithm that includes genetic algorithm and local search optimization. The new model is tested on randomly generated datasets, and is compared to optimal solution, and four scheduling models; three rule-based heuristic algorithms, and a genetic algorithm based scheduling model from literature; the test results show that the new model performed better than scheduling models from literature.

A number of plating companies have been exposed to the risk of fire due to unexpected temperature increasing of water or other reasons in a plating bath. Since the companies are not able to forecast the unexpected temperature increasing of plating bath and most of raw materials in the bath have low ignition temperature, it is easy to be exposed to the risk of fire. Thus, in previous study, we tried to monitor and notice the dangerous change of temperature of water immediately to prevent the risk of fire from plating process. However, unfortunately previous studies were not able to shut out the fundamental cause of fire since bath temperature sensor can detect air temperature when the level sensor was malfunctioned. In this paper we developed the Teflon heater which contains a built in temperature sensor and improved plating equipment system. Teflon heater is improved using Pt 100Ω sensor which can detect until 600°C . When the bath temperature sensor detects over 60°C or the Teflon heater sensor detects over 240°C they temporarily shut down the heater to control temperature. Also relay completely shuts down main power when detects instant temperature is detected over 5% of 240°C by the heater sensor to prevent teflon melting down and fire spreads. Developed plating equipment system can monitor a real time temperature in the teflon tube and bath water. Therefore we think the proposed plating equipment can eliminate the possibility of fire in plating processes fundamentally.

As the development environment is changing with the development of information communication technology, the systems that were used by each service became used with integration. In the process of integrating from existing legacy systems to new system, it should be smoothly integrated or shared, however, it cannot help holding existing technology or component due to significant cost burden for conversion. In this paper, it was not only classified by types with analyzing the various elements that make up legacy system but an approach and monitoring system were developed to each type. After System application results, data's information generated in each process is provided to other system in real time, so that it has not only secured the work efficiency and reliability but also it is made possible by integrating data in various formats for efficient data management, rapid search and tracking to history. With real-time monitoring system developed in this study, It can be very useful in a variety of industries which require real-time monitoring of distributed legacy system data.

Lot-order assignment is the process of assigning items in lots being processed in a production facility to orders to meet due-dates of the orders. In this study, we consider the lot-order assignment problem (LOAP) with the objective of minimizing total tardiness of the orders with distinct due dates. We address similarity relationships between the LOAP and the single machine total tardiness scheduling problem (SMTTSP) and suggest priority rules for the LOAP based on those for the SMTTSP. Performances of the priority rules are compared with each other and with that of the commercial optimization software package in computational experiments.

The human resources of an enterprise is very important in order to survive in these days of business environment. This study investigates the influence of working conditions on organizational effectiveness. Job satisfaction and immersion has been regarded

The purpose of this study is to present the green management requisites effect on corporate performance. Corporate performance consists of customer and green performance, work satisfaction and financial performance. In order to carry out this research we

To determine the optimal media conditions for the detection of the cellulolytic activity in Ganoderma neo- japonicum, we varied three media conditions: dye reagent, pH, and temperature. First, we evaluated the use of four dyes, Congo Red, Phenol Red, Remazol Brilliant Blue, and Trypan Blue. To observe the effect of pH on various media spanning acidic and alkaline pHs, ranging from 4.5 to 8.0. Furthermore, in order to research the effect of temperature on the clear zone and the fungus growing zone, we tested temperatures ranging from 15 to 35℃. On the whole, the best protocol called for Ganoderma neo-japonicum transfer onto media containing Congo red with pH adjusted to 7.0, followed by incubation at 25℃ for 5 days. Our results will be useful to researchers who aim to study extracellular enzyme activity in Ganoderma neo-japonicum.

  The powder blasting process has become an important machining technique for the cost effective fabrication of micro devices. This process is similar to sand blasting, and effectively removes hard and brittle materials. A large number of investigations o

  This paper addresses a the maintenance system based on the concept of RAMS (Reliability, Availability, Maintenance, Safety) for the effective maintenance of the urban transit. A systematic approach for developing a cost-effective maintenance strategy ba

  Presented in this paper was to evaluate and improve the usability of a web-based logistics information system. The system was developed for the domestic company to track and monitor its own transportation vehicles and for the customers to check the curr