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논문 기본 정보

자료유형
학술저널
저자정보
Chun-Yu Lin (The Pennsylvania State University) Gül E. Okudan (The Pennsylvania State University)
저널정보
대한산업공학회 Industrial Engineering & Management Systems Industrial Engineering & Management Systems 제8권 제1호
발행연도
2009.3
수록면
47 - 53 (7page)

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초록· 키워드

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We define product line (or mix) selection problem as selecting a subset of potential product variants that can simultaneously minimize product proliferation and maintain market coverage. Selecting the most efficient product mix is a complex problem, which requires analyses of multiple criteria. This paper proposes a method based on Data Envelopment Analysis (DEA) for product line selection. Data Envelopment Analysis (DEA) is a linear programming based technique commonly used for measuring the relative performance of a group of decision making units with multiple inputs and outputs. Although DEA has been proved to be an effective evaluation tool in many fields, it has not been applied to solve the product line selection problem. In this study, we construct a five-step method that systematically adopts DEA to solve a product line selection problem. We then apply the proposed method to an existing line of staplers to provide quantitative evidence for managers to generate desirable decisions to maximize the company profits while also fulfilling market demands.

목차

Abstract
1. INTRODUCTION
2. LITERATURE REVIEW
3. PROBLEM DEFINITION
4. METHODOLOGY
5. APPLICATION, RESULTS and DISCUSSION
6. CONCLUSIONS and RECOMMENDATIONS FOR FUTURE WORK
ACKNOWLEDGMENT
REFERENCES

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