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Journal of Industrial Engineering and Management Science

Editor-in-Chief: Kuinam J. Kim, Kyonggi University, South Korea

ISSN: 2446-1822 (Online Version)
Vol: 2016   Issue: 1

Published In:   August 2016

Publication Frequency: Continuous Article Publication

Search Availabe Volume and Issue for Journal of Industrial Engineering and Management Science

Monitoring the Level of Light Pollution and Its Impact on Astronomical Bodies Naked-Eye Visibility Range in Selected Areas in Malaysia Using Sky Quality Meter

doi: 10.13052/jiems2446-1822.2016.007
M. S. Faid1, N. N. M. Shariff1, Z. S. Hamidi2, S. N. U. Sabri2, N. H. Zainol2, N. H. Husien2 and M. O. Ali2

1Academy of Contemporary Islamic Studies, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia
2Faculty of Applied Sciences, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia

Abstract: [+]    |    Download File [ 1955KB ]   |    Read Article Online

Abstract: Light pollution is an anthropogenic by-product of modern civilization and heavy economical activity, sourced from artificial light. In addition of its detrimental impact on human and ecology, light pollution brightens the night sky, limiting the range of visible astronomical bodies detected by naked-eye. Since it is becoming a global concern for astronomers, the level of light pollution needs to be monitored to study its mark on the astronomical data. Using Sky Quality Meter in the period of 5 months, we investigated the links between city population and its vicinity from the city center towards the profile of the night sky and the limiting magnitude of the naked eye. We eliminate the data factored by clouds and moon brightness on account of it has an adverse effect on sky brightness that could disrupt research on light pollution. From the result, we can see population and location distance from the city as major variables of light pollution, as Kuala Lumpur, a city center sky is 5 times brighter than Teluk Kemang, a suburban sky. Some recommendation in reducing the effect of light pollution will be also discussed.

Keywords: Anthropogenic pollution, Light pollution, Population, Night sky brightness, Limiting magnitude.

Simultaneous Integrated Model with Multiobjective for Continuous Berth Allocation and Quay Crane Scheduling Problem

doi: 10.13052/jiems2446-1822.2016.006
Nurhidayu Idris1 and Zaitul Marlizawati Zainuddin2

1Department of Mathematical Sciences, Faculty of Science, Universiti Teknologi Malaysia, Johor, Malaysia
2Department of Mathematical Sciences, Faculty of Science and Universiti Teknologi Malaysia – Centre of Industrial and Applied Mathematics, Universiti Teknologi Malaysia, Johor, Malaysia

Abstract: [+]    |    Download File [ 871KB ]   |    Read Article Online

Abstract: This paper presents the simultaneous integration model of berth allocation and quay crane scheduling. Berths and quay cranes are both critical resources in port container terminals. The mathematical model uses a mixed integer linear programming with multiple objectives generated by considering various practical constraints. Small data instances have been taken to validate the integrated model. A numerical experiment was conducted by using LINGO programming software to evaluate the performance and to obtain the exact solution of the suggested model.

Keywords: Berth allocation, Quay crane scheduling, Multi objectives, Integration.

Design of Arc Fault Detection Circuit in Low Voltage Switchboard

doi: 10.13052/jiems2446-1822.2016.005
Kuan Lee Choo and Ahmad Azri Sa'adon

Faculty of Engineering and Technology Infrastructure, Infrastructure University Kuala Lumpur, Selangor, Malaysia

Abstract: [+]    |    Download File [ 2119KB ]   |    Read Article Online

Abstract: This paper presents the design of the arc fault detection circuit that is able to detect three different signals prior to the occurrence of an arcing fault in the low voltage switchboard. There are pressure, heat and light signals. The simulation results show that the proposed arc fault detection circuit will activate the relay and send a trip signal to the circuit breaker if the illumination level in the interior of the low voltage (LV) switchboard is more than a predetermined value and at the same time both the pressure and temperature detectors detect a pressure and temperature level which are higher than the reference value. This is to ensure that no fault tripping signal is sent to the circuit breaker and therefore avoid unnecessary power shut down.

Keywords: LM 335 Temperature Sensor, 1140 Pressure Sensor, ISL2910 Light to Analog Sensor, Arc Fault, Low Voltage Switchboard.

Location Routing Inventory Problem with Transhipment Points Using p-center

doi: 10.13052/jiems2446-1822.2016.004
S. S. R. Shariff, N. S. Kamal, M. Omar and N. H. Moin

Centre for Statistical and Decision Science Studies, Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia

Abstract: [+]    |    Download File [ 1194KB ]   |    Read Article Online

Abstract: Location Routing Inventory Problem with Transhipment (LRIP-T) is a collaboration of the three components in the supply chain which are locationallocation; vehicle routing and inventory management problems that allow transhipment process, in a way that the total system cost and the total operational time are minimized. This study is to determine a set of customer points to act as the transhipment point as and when it is necessary, based on the surplus quantities it has, the quantities to ship to the needing customers and the sequence in which customers are replenished by homogeneous fleet of vehicles. The transhipment point is selected from the existing customers using p-center. The performance of the selection is evaluated using a set of benchmark data and a real life data. For the real life data, sensitivity analysis based on the number of distribution centres and size of lorries are presented. Results show important savings achieved when compared to the existing model in solving the supply chain problem.

Keywords: Location Inventory Routing Problem with Transhipment, p-center.

Software Reliability Model Selection Based on Deep Learning with Application to the Optimal Release Problem

doi: 10.13052/jiems2446-1822.2016.003
Yoshinobu Tamura1 and Shigeru Yamada2

1Information Science and Engineering Section, Department of Engineering, Graduate School of Sciences and Technology for Innovation, Yamaguchi University, Ube-shi, Japan
2Department of Social Management Engineering, Graduate School of Engineering, Tottori University, Tottori-shi, Japan

Abstract: [+]    |    Download File [ 2206KB ]   |    Read Article Online

Abstract: In the past, many software reliability models have been proposed by several researchers. Also, several model selection criteria such as Akaike’s information criterion, mean square errors, predicted relative error and so on, have been used for the selection of optimal software reliability models. These assessment criteria can be useful for the software managers to assess the past trend of fault data. However, it is very important to assess the prediction accuracy of model after the end of fault data observation in the actual software project. In this paper, we propose a method of optimal software reliability model selection based on the deep learning. Moreover, we show several numerical examples of software reliability assessment in the actual software projects. In particular, we discuss the optimal release time and total expected software cost in terms of the model selection based on the deep learning.

Keywords: Software reliability model, optimal model selection, deep learning, optimal release time, software cost.

Applying Total Productive Maintenance in Aluminium Conductor Stranding Process

doi: 10.13052/jiems2446-1822.2016.002
O. Joochim1 and J. Meekaew2

1Institute of Field Robotics, King Mongkut’s University of Technology Thonburi, Bangkok, Thailand
2Aluminium Conductor Department, Bangkok Cable Co., Ltd. (Chachoengsao Factory), Chachoengsao, Thailand

Abstract: [+]    |    Download File [ 6040KB ]   |    Read Article Online

Abstract: The purpose of this paper is to apply a total productive maintenance (TPM) technique for increasing the effectiveness in producing aluminium stranded conductors in order to reduce waste problems of the machine and improve the quality of the production. Two pillars of TPM activities for autonomous maintenance and focused improvement are established. Machines that have low overall equipment efficiency (OEE) are chosen as prototype machines. Training program for employees about the production work, cleaning activities to discover abnormal conditions, corrective actions during abnormal operations and a one point lesson (OPL) to educate operators for the production process are implemented. Autonomous maintenance standards are also created. Pareto analysis is used to quickly determine the critical equipment in the factory. A corrective action team is selected for improving the operation of the process. The research is evaluated by comparing the OEE of prototype machines based on production problems occurred before and after the improvement. The results show that the TPM implementation reduces the downtime from 7,730.80 minutes per month to 4,942.20 minutes per month, the loss of the scrap from 4,570.00 kilograms per month to 2,236.67 kilograms per month. The OEE is increased from 67.21 percent to 72.14 percent.

Keywords: Total productive maintenance, overall equipment efficiency, one point lesson.

Knowledge Sharing and the Innovation Capability of Chinese Firms:The Role of Guanxi

doi: 10.13052/jiems2446-1822.2016.001
Oswaldo Jose Jimenez Torres

School of Business Management, Harbin Institute of Technology, Harbin, China

Abstract: [+]    |    Download File [ 534KB ]   |    Read Article Online

Abstract: Building on the theory of social capital the present theoretical study aims to introduce a framework to analyze the extent to which the innovation capability of Chinese firms is affected by Guanxi as a moderator between the former and the knowledge sharing behaviors among individuals and teams. The three dimensions of knowledge sharing considered here are: Type of knowledge, quantity and quality of knowledge shared among employees. Also this article includes propositions and recommendations to lead future research in this area.

Keywords: Guanx

River Publishers: Journal of Industrial Engineering and Management Science