OMDM 2012 Abstracts


Short Papers
Paper Nr: 1
Title:

Developing A New Variables Sampling Scheme for Product Acceptance Determination

Authors:

Chien-Wei Wu and James C. Chen

Abstract: Acceptance sampling is a useful tool for determining whether submitted lots should be accepted or rejected. With the current increase in outsourcing production processes and the high quality levels required, it is very desirable to have an efficient and economic sampling scheme. This paper develops a variables repetitive group sampling (RGS) plan based on the third generation of process capability index. The plan parameters are determined by minimizing the average sample number (ASN) for inspection and fulfilling the classical two-point-condition on the operating characteristic (OC) curve. Besides, the efficiency of the proposed plan is investigated and compared with the existing variables single sampling plan. Tables of the plan parameters are also provided.
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Paper Nr: 2
Title:

Supplier Selection based on Process Yield for LED Manufacturing Processes

Authors:

Y. T. Tai and Chien-Wei Wu

Abstract: In today’s fierce competitive business environment, it is very essential to work with right suppliers in the supply chain systems. Consequently, supplier selection problem is very important and has received considerable attention. In the supplier selection problem, quality is the most popular criterion. In the paper, we consider a supplier selection problem of comparing two suppliers and selecting the one that has a significantly higher process capability for the light emitting diode (LED) assembly process with multiple characteristics. Testing hypotheses for the LED assembly supplier selection are presented. For practitioners’ convenience, the corresponding critical values for the supplier selection in LED assembly process are tabulated. For illustration purpose, an application is presented.
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Paper Nr: 3
Title:

Production Planning and Control Model of Technology Migration for DRAM Industry

Authors:

Ying-Mei Tu

Abstract: Due to product life cycle has been shortened rapidly, it forces the product generation and technology should be enhanced quickly. When technology generation change occurred, DRAM manufacturers always used the past experiences to handle the change process. However, the issues are totally different and it made the companies suffered many difficulties. In this work, a production planning and control model is developed. The production planning focuses on CCR (Capacity Constraint Resources) to define the complete wafer release schedule and apply X-factor to schedule the production processes during the migration period. Regarding to the shop floor control, there are two control mechanisms to control and monitor the migration process, real time control and predicting control. WIP status is the important factor to decide whether the production planner needs to launch the rescheduling module or not in the real time control portion. Besides, a foresee function is performed by predicting control portion which firing the rescheduling module by the bias between the loading and capacity curves.
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Paper Nr: 4
Title:

An Evaluation Model for Green and Low-Carbon Suppliers

Authors:

Amy H. I. Lee, He-Yau Kang, Chun Yu Lin and Hsin Wei Wu

Abstract: Under a conventional supplier evaluation, cost, on-time delivery and quality are treated as the most important factors. However, in today’s increasingly environmental conscious market with growing demands of green products, more and more firms are aiming to manufacture green products to reduce the damage to the environment and to limit the use of energy and other resources at any stage of its life, including raw materials, manufacture, use, and disposal. Thus, a firm needs to select the right suppliers that not only can satisfy the basic requirements, such as cost and quality, but also can provide green and low-carbon materials. The goal of this research is to construct a green and low-carbon supplier evaluation model. The criteria to evaluate green and low-carbon suppliers are analyzed first, and the most important ones are selected. Fuzzy analytic network process (FANP) model is constructed to evaluate various aspects of suppliers. By applying the model, the manufacturer can find the most suitable suppliers for cooperation. Goal programming (GP) is applied next to allocate the most appropriate amount of orders to each of the selected suppliers.
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Paper Nr: 5
Title:

An Integrated Model to Evaluate the Performance of Solar PV Firms

Authors:

Chun Yu Lin, Amy H. I. Lee, He-Yau Kang and Wen Hsin Lee

Abstract: The use of renewable energy resources is being stressed in the 21st century due to the depletion of fossil fuels and the increasing consciousness about environmental degradation. Renewable energies, such as wind energy, fire energy, hydropower energy, geothermal energy, solar energy, biomass energy, ocean power and natural gas, are treated as alternative means of meeting global energy demands. After Japan's nuclear plant disaster in March 2011, people are aware that a good renewable energy resource not only needs to produce zero or little air pollutants and greenhouse gases, it also needs to have a high safety standard to prevent the chances of hazards from happening. Solar energy is one of the most promising renewable energy sources with an infinite sunlight resource and environmental sustainability. However, photovoltaic products currently still require a high production cost with low conversion efficiency. In addition, the solar industry has a rather versatile market cycle in response to economic conditions. Therefore, solar firms need to strengthen their competitiveness in order to survive and to acquire decent profits in the market. This research proposes a performance evaluation model by integrating data envelopment analysis (DEA) and analytic hierarchy process (AHP) to assess the business performance of the solar firms. From the analysis, the firms can understand their current positions in the market and to know how they can improve their business. A case study is performed on the crystalline silicon solar firms in Taiwan.
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Paper Nr: 6
Title:

An Integrated Replemishment Model under Dynamic Demand Conditions

Authors:

He-Yau Kang, Amy H. I. Lee and Chun-Mei Lai

Abstract: This research develops an integrated replenishment model considering supplier selection, procurement lot-sizing, quantity discounts and safety stocks under dynamic demand conditions. The objectives of the model are to minimize total costs, which include ordering cost, purchase cost, transportation cost, shortage cost and holding cost, and to maximize service level of the system over the planning horizon. First, a multi-objective programming (MOP) model is proposed in the paper. Next, the model is transformed into a mixed integer programming (MIP) model based on the -constraint method. Then, the genetic algorithm (GA) model is constructed to solve a large-scale optimization problem by finding a near-optimal solution. An example of a bike manufacturer is used to illustrate the practicality of the proposal model. The results demonstrate that the proposed model is an effective and accurate tool for the integrated replenishment and logistics management.
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Paper Nr: 9
Title:

A Study on a Decision Support Model for Strategic Alliance in Express Courier Service

Authors:

Friska Natalia Ferdinand, Ki Ho Chung, Hyun Jeung Ko and Chang Seong Ko

Abstract: The market competition of express courier service has become severe so that an express delivery company is consistently under pressure to operate its service network as efficient as possible. In this regard, the strategic alliance among small and medium companies can be a useful way in order to maintain their competitiveness. To cope with such challenges, this study proposes a decision support model to examine the feasibility of merging under-utilized courier service centers and collaborating consolidation terminals with strategic alliances among them. The proposed models can be formulated as multi-objective programming models maximizing the minimum expected profit increase of each participating company. A solution procedure based on the maxmin criterion is developed by using a genetic algorithm. The applicability and efficiency of the proposed models is demonstrated through illustrative numerical examples.
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