A Genetic Algorithm for Directed Graph-based Supply Network Planning in Memory Module Industry

Wang, Li-Chih,Cheng, Chen-Yang,Huang, Li-Pin Korean Institute of Industrial Engineers 2010 Industrial Engineeering & Management Systems Vol.9 No.3

A memory module industry's supply chain usually consists of multiple manufacturing sites and multiple distribution centers. In order to fulfill the variety of demands from downstream customers, production planners need not only to decide the order allocation among multiple manufacturing sites but also to consider memory module industrial characteristics and supply chain constraints, such as multiple material substitution relationships, capacity, and transportation lead time, fluctuation of component purchasing prices and available supply quantities of critical materials (e.g., DRAM, chip), based on human experience. In this research, a directed graph-based supply network planning (DGSNP) model is developed for memory module industry. In addition to multi-site order allocation, the DGSNP model explicitly considers production planning for each manufacturing site, and purchasing planning from each supplier. First, the research formulates the supply network's structure and constraints in a directed-graph form. Then, a proposed genetic algorithm (GA) solves the matrix form which is transformed from the directed-graph model. Finally, the final matrix, with a calculated maximum profit, can be transformed back to a directed-graph based supply network plan as a reference for planners. The results of the illustrative experiments show that the DGSNP model, compared to current memory module industry practices, determines a convincing supply network planning solution, as measured by total profit.

An Interactive Planning and Scheduling Framework for Optimising Pits-to-Crushers Operations

Liu, Shi Qiang,Kozan, Erhan Korean Institute of Industrial Engineers 2012 Industrial Engineeering & Management Systems Vol.11 No.1

In this paper, an interactive planning and scheduling framework are proposed for optimising operations from pits to crushers in ore mining industry. Series of theoretical and practical operations research techniques are investigated to improve the overall efficiency of mining systems due to the facts that mining managers need to tackle optimisation problems within different horizons and with different levels of detail. Under this framework, mine design planning, mine production sequencing and mine transportation scheduling models are integrated and interacted within a whole optimisation system. The proposed integrated framework could be used by mining industry for reducing equipment costs, improving the production efficiency and maximising the net present value.

Developing a Model to Explain the Process of Technology Transfer at Entrepreneurial University

Soleimani, Mohsen,Tabriz, Akbar Alem,Shavarini, Sohrab Khalili Korean Institute of Industrial Engineers 2016 Industrial Engineeering & Management Systems Vol.15 No.4

The gap between universities, scientific centers and industrial-production units is one of higher education concerns. In academic entrepreneurship, the university work simultaneously in education, research and entrepreneurship. The universities play a key and important role in providing educational opportunities in economic development. This research aims to develop and expand science as well as help managers to explain the process of technology transfer in entrepreneurial university. This research is applied-developmental type and on the other hand, data driven theories have been used in this study. Current model is generally tried to meanwhile compensate previous shortcomings, include some strengths such as considering domestic factors of Iran as well as update effective factors on the process of technology transfer. Finally the suggested model has been compared with existing well-known models that each one of those models have some drawbacks which have been tried to be minimized in suggested model as much as possible.

Development of a Failure Mode and Effects Analysis Based Risk Assessment Tool for Information Security

Lai, Lotto Kim Hung,Chin, Kwai Sang Korean Institute of Industrial Engineers 2014 Industrial Engineeering & Management Systems Vol.13 No.1

Risk management is recognized as a significant element in Information Security Management while the failure mode and effects analysis (FMEA) is widely used in risk analysis in manufacturing industry. This paper aims to present the development work of the Information Security FMEA Circle (InfoSec FMEA Circle) which is used to support the risk management framework by modifying traditional FMEA methodologies. In order to demonstrate the "appropriateness" of the InfoSec FMEA Circle for the purposes of assessing information security, a case study at Hong Kong Science and Technology Parks Corporation (HKSTP) is employed. The "InfoSec FMEA Circle" is found to be an effective risk assessment methodology that has a significant contribution to providing a stepwise risk management implementation model for information security management.

A Workplace to Support Creativity

Samani, Sanaz Ahmadpoor,Rasid, Siti Zaleha Binti Abdul,bt Sofian, Saudah Korean Institute of Industrial Engineers 2014 Industrial Engineeering & Management Systems Vol.13 No.4

The purpose of this paper is to provide a review of the background information regarding to the role of workplace on affecting people's performance. In today's industry creativity has a very special and important place because of the dynamic organizational changes and rapid growth of technology. To support these new working styles and specifically, to support creativity within an organization, flexible workplaces are often suggested. Since open-plan office offers more flexibility when compared to completely closed and private ones, they are seen to have more capabilities and are highly valued in today's industry. So the result of this study will contribute towards enhancing the understanding of the effect office design to enhance employees' performance, especially in creative tasks.

Optimal Operation for Green Supply Chain with Quality of Recyclable Parts and Contract for Recycling Activity

Kusukawa, Etsuko,Alozawa, Sho Korean Institute of Industrial Engineers 2015 Industrial Engineeering & Management Systems Vol.14 No.3

This study discusses a contract to promote collection and recycling of used products in a green supply chain (GSC). A collection incentive contract is combined with a reward-penalty contract. The collection incentive contract for used products is made between a retailer and a manufacturer. The reward-penalty contract for recycling used products is made between a manufacturer and an external institution. A retailer pays an incentive for collecting used products from customers and delivers them to a manufacturer with a product order quantity under uncertainty in product demand. A manufacturer remanufactures products using recyclable parts with acceptable quality levels and covers a part of the retailer's incentive from the recycled parts by sharing the reward from an external institution. Product demand information is assumed as (i) the distribution is known (ii) mean and variance are known. Besides, the optimal decisions for product quantity, collection incentive of used products and lower limit of quality level for recyclable parts under decentralized integrated GSCs. The analysis numerically investigates how (1) contract for recycling activity, (ii) product demand information and (iii) quality of recyclable parts affect the optimal operation for each GSC. Supply chain coordination to shift IGSC is discussed by adopting Nash Bargaining solution.

Analyzing Offshore Wind Power Patent Portfolios by Using Data Clustering

Chang, Shu-Hao,Fan, Chin-Yuan Korean Institute of Industrial Engineers 2014 Industrial Engineeering & Management Systems Vol.13 No.1

Offshore wind power has been extremely popular in recent years, and in the energy technology field, relevant research has been increasingly conducted. However, research regarding patent portfolios is still insufficient. The purpose of this research is to study the status of mainstream offshore wind power technology and patent portfolios and to investigate major assignees and countries to obtain a thorough understanding of the developmental trends of offshore wind power technology. The findings may be used by the government and industry for designing additional strategic development proposals. Data mining methods, such as multiple correspondence analyses and k-means clustering, were implemented to explore the competing technological and strategic-group relationships within the offshore wind power industry. The results indicate that the technological positions and patent portfolios of the countries and manufacturers are different. Additional technological development strategy recommendations were proposed for the offshore wind power industry.

An Intelligent Management System for Evaluating Science Research Projects

Chen, Zhi-Yu,Chen, Shi-Quan,Wu, Jin-Pei Korean Institute of Industrial Engineers 2005 Industrial Engineeering & Management Systems Vol.4 No.1

Proposed in this paper is an intelligent management system for evaluating science research projects based on fuzzy neural networks with genetic algorithms. This system was planned, designed and tested employing theories and approaches of software engineering. This system was then applied to evaluate science research projects of the Natural Science Foundation of Guangdong Province, People’s Republic of China. The outcome / results shows the feasibility and validity of the system and its possible application to other intelligent management systems.

Torusity Tolerance Verification using Swarm Intelligence

Prakasvudhisarn, Chakguy,Kunnapapdeelert, Siwaporn Korean Institute of Industrial Engineers 2007 Industrial Engineeering & Management Systems Vol.6 No.2

Measurement technology plays an important role in discrete manufacturing industry. Probe-type coordinate measuring machines (CMMs) are normally used to capture the geometry of part features. The measured points are then fit to verify a specified geometry by using the least squares method (LSQ). However, it occasionally overestimates the tolerance zone, which leads to the rejection of some good parts. To overcome this drawback, minimum zone approaches defined by the ANSI Y14.5M-1994 standard have been extensively pursued for zone fitting in coordinate form literature for such basic features as plane, circle, cylinder and sphere. Meanwhile, complex features such as torus have been left to be dealt-with by the use of profile tolerance definition. This may be impractical when accuracy of the whole profile is desired. Hence, the true deviation model of torus is developed and then formulated as a minimax problem. Next, a relatively new and simple population based evolutionary approach, particle swarm optimization (PSO), is applied by imitating the social behavior of animals to find the minimum tolerance zone torusity. Simulated data with specified torusity zones are used to validate the deviation model. The torusity results are in close agreement with the actual torusity zones and also confirm the effectiveness of the proposed PSO when compared to those of the LSQ.

The Impact of Implementation of ISO9000: 2000 on Technology Improvement: A Case study

Shahalizadeh, Mohammad,Mostabseri, Mohammad Korean Institute of Industrial Engineers 2008 Industrial Engineeering & Management Systems Vol.7 No.3

ISO9000 set of standards has been widely applied in Iranian Automotive manufacturing industry. Regarding the effects of TQM and ISO9000 set of standards various studies have been conducted and different quantitative conclusions have been made. Due to lack of quantitative information, in many of the cases, using qualitative information becomes the best option. The qualitative nature of data in such cases, requires qualitative analysis methods that might lead to some challenging computational issues. This paper examines the impact of ISO9000: 2000 certification and its perceived benefits for an automotive manufacturing company. Using an empirical approach, the paper seeks to ascertain if certification has indeed improved the performance of the company. Our null hypothesis rotates around the effect of ISO9000: 2000 on the 4W's of an enterprise. To carry out the research, first we developed a couple of questionnaires including all criteria of ISO9000 and 4W's. Second, the questionnaires were discussed with two researchers knowledgeable in the field, and then submitted to the quality practitioners and executives of Iran Khodro Enterprise-a leading company in Iranian automotive manufacturing industry. Finally the null hypothesis was tested and the technology improvement dimensions were ranked through nonparametric tests. The results illustrated a reasonable cause and effect relationship, suggesting that ISO9000: 2000 has positive effect on the 4W's of company result. In this work we investigate the effect as technology improvement viz., the improvement of techno-ware, human-ware, info-ware, and organ-ware.