Centralized resource allocation and target setting based on data envelopment analysis model
type: Item
instance of: scholarly article
title: Centralized resource allocation and target setting based on data envelopment analysis model
zbMATH Open document ID: 1427.90186
DOI: 10.1155/2018/3826096
author: Xianqiang Yang
published in: Mathematical Problems in Engineering
publication date: 2019-02-08T00:00:00Z
review text: Summary: This paper aims to develop a data envelopment analysis (DEA) based model for allocating input resources and deciding output targets in organizations with a centralized decision-making environment, for example, banks, police stations, and supermarket chains. The central decision-maker has an interest in maximizing the total output production and at the same time minimizing the total input consumption. Traditionally, all decision-making units (DMUs) can be easily projected to the efficient frontier, which is a mathematical feasibility; however, it does not guarantee the managerial feasibility during the planning period. In this paper, we will take potential limitations of input-output changes into account by building a difficulty coefficient matrix of modifying their production in the current production possibility set so that the solution guarantees managerial feasibilities. Three objectives, namely, maximizing aggregated outputs, minimizing the consumption of input resources, and minimizing the total difficulty coefficient, are proposed and incorporated into the formation of resource allocation and target setting scheme. Building on this, we combine DEA and multiobjective programming to solve the resource allocation and target setting problem. In the end, we apply our proposed approach to a real-world problem of sixteen chain hotels to illustrate the efficacy and usefulness of the proposed approach.
Mathematics Subject Classification ID: 90B50
Mathematics Subject Classification ID: 90C08
zbMATH DE Number: 7018873
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2018/3826096
OpenAlex ID: W2791917294
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description: scientific article; zbMATH DE number 7018873