基于DEA的有效固定成本分配的一般框架和个体优势实现模型

IF 7.2 2区 管理学 Q1 MANAGEMENT
Junfei Chu , Yanhua Dong , Zhe Yuan , Weijiao Wang
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引用次数: 0

摘要

数据包络分析(DEA)已成为解决固定成本分配(FCA)问题的有力工具。在众多基于dea的FCA研究中,一个重要的类别寻求使所有决策单元(dmu)在成本分配后的一组共同权重下有效,属于共同权重FCA框架。然而,经典的DEA效率评价机制并不要求基于一组共同的权重来评价所有的dmu。相反,如果一个DMU可以选择其有利的权重以达到效率得分为1,同时确保其他DMU的效率不超过1,则认为该DMU是有效的。受此启发,我们开发了一种新颖且通用的FCA框架,该框架通过允许每个DMU选择其优先权重来分配总固定成本。证明了传统共权框架下的FCA可能集是新框架下FCA可能集的子集。然后,引入固定成本的保证域约束,以避免极端分配方案。在此框架下,提出了个体优势实现策略和基于此策略的FCA模型,旨在从所有其他DMU的角度最小化每个DMU的交叉效率,同时确保其自我评估效率保持在1。此外,还引入了一种算法来保证FCA方案的唯一性。通过数值算例和上海汽车工业公司的实例验证了该方法的有效性,并与其他经典方法进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A general framework and an individual dominance realization model for efficient fixed cost allocation based on DEA
Data Envelopment Analysis (DEA) has become a powerful tool for addressing fixed cost allocation (FCA) problems. Among the numerous DEA-based FCA studies, a significant category seeks to make all Decision-making Units (DMUs) efficient under a set of common weights after cost allocation, falling under the common-weights FCA framework. However, the classical DEA efficiency evaluation mechanism does not require all DMUs to be evaluated based on a set of common weights. Instead, a DMU is considered efficient if it can choose its favorable weights to achieve an efficiency score of one while ensuring that the efficiencies of other DMUs do not exceed one. Motivated by this, we develop a novel and general efficient FCA framework that allocates the total fixed cost by allowing each DMU to select its preferred weights to be efficient. We prove that the FCA possible set under the traditional common-weights framework is a subset of that under this new framework. Then, an Assurance Region (AR) constraint on fixed costs is introduced to avoid extreme allocation schemes. Moreover, an individual dominance realization strategy and a FCA model based on it are proposed within this framework, aimed at minimizing each DMU’s cross-efficiencies from the perspective of all other DMUs while ensuring its self-assessed efficiency remains at one. Additionally, an algorithm is introduced to guarantee the uniqueness of the FCA scheme. A numerical example and a case study from the Shanghai Automotive Industry Corporation are used to validate the effectiveness of this approach and compare it with other classic methods.
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来源期刊
Omega-international Journal of Management Science
Omega-international Journal of Management Science 管理科学-运筹学与管理科学
CiteScore
13.80
自引率
11.60%
发文量
130
审稿时长
56 days
期刊介绍: Omega reports on developments in management, including the latest research results and applications. Original contributions and review articles describe the state of the art in specific fields or functions of management, while there are shorter critical assessments of particular management techniques. Other features of the journal are the "Memoranda" section for short communications and "Feedback", a correspondence column. Omega is both stimulating reading and an important source for practising managers, specialists in management services, operational research workers and management scientists, management consultants, academics, students and research personnel throughout the world. The material published is of high quality and relevance, written in a manner which makes it accessible to all of this wide-ranging readership. Preference will be given to papers with implications to the practice of management. Submissions of purely theoretical papers are discouraged. The review of material for publication in the journal reflects this aim.
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