지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
이용수
초록· 키워드
오류제보하기
Multi-criteria ABC inventory classification, which aims to classify inventory items by considering more than one criterion, is one of the most widely employed techniques for inventory control. The weighted linear optimization (WLO) model proposed by Ramanathan (2006) solves the problem of multi-criteria ABC inventory classification by generating a set of criterion weights for each inventory item and assigning a normalized score to the item for ABC analysis. However, the WLO model has some limitations. First, many inventory items can share the same optimal score, which can hinder a precise classification of inventory items. Second, the model allows too much flexibility in weighting multiple criteria; each item is allowed to choose its own weights so that it can maximize its score. As a result, if an item dominates the others in terms of a certain criterion, it may be classified into a higher class regardless of other criteria by assigning an overwhelming weight to the criterion. Consequently, an item with a high value in an unimportant criterion and low values in others may be inappropriately classified as class A, leading to an inaccurate classification of inventory items. To overcome these shortcomings, we extend the WLO model by using the cross-efficiency method in data envelopment analysis. We claim that the proposed model can provide a more reasonable and accurate classification of inventory items by mitigating the adverse effect of flexibility in the choice of weights and yielding a unique ordering of inventory items.
목차
1. Introduction
2. The Weighted Linear Optimization (WLO) Model for Multi-Criteria Inventory Classification
3. The Proposed Model
4. An Illustrative Example
5. Conclusion
References
참고문헌 (14)
참고문헌 신청
Charnes, A. / 1978 / Measuring the efficiency of decision making units / Journal of Operating Research 2(6):429~444
Doyle, J / 1994 / Efficiency a Cross-efficiency in DEA : Derivations, Meanings and Uses / Journal of Operational Research Society 45(5):567~578
Flores, B. E / 1986 / Multiple criteria ABC analysis / International Journal of Operations and Production Management 6(3):38~46
Flores, B. E / 1987 / Implementing multiple criteria ABC analysis / Journal of Operations Management 7(1):79~84
Flores, B. E. / 1992 / Management of multi criteria inventory classification / Mathematical and Computer Modelling 16(12):71~82
Doyle, J / 1994 / Efficiency a Cross-efficiency in DEA : Derivations, Meanings and Uses / Journal of Operational Research Society 45(5):567~578
Flores, B. E / 1986 / Multiple criteria ABC analysis / International Journal of Operations and Production Management 6(3):38~46
Flores, B. E / 1987 / Implementing multiple criteria ABC analysis / Journal of Operations Management 7(1):79~84
Flores, B. E. / 1992 / Management of multi criteria inventory classification / Mathematical and Computer Modelling 16(12):71~82
이 논문의 저자 정보
최근 본 자료
댓글(0)
0
UCI(KEPA) : I410-ECN-0101-2013-530-003629456