DEASort: Assigning items with data envelopment analysis in ABC classes

Ishizaka, Alessio; Lolli, Francesco; Balugani, Elia; Cavallieri, Rita; Gamberini, Rita

doi:10.1016/j.ijpe.2018.02.007

Cited by 54 publications

(12 citation statements)

References 27 publications

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“…When evaluating the low-level units, the high-level units can be used as reference sets. When evaluating the highlevel units, the classification method of DEASort (Alessio Ishizaka) [8] can be used as reference sets, and other decision-making units at this level can be used as reference sets. According to the existing weights, the decision-making units at this level can be imported internally.…”

Section: Fixed-weight Deasort Methodologymentioning

confidence: 99%

Urban Public Safety Risk Assessment of 35 Cities in China Based on Context-Dependent DEA Approach And DEASort

Zeng

2019

E3S Web Conf.

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Urban public safety is the foundation of the urban development. Correct and reasonable assessment of urban public safety plays a vital role in the healthy development of cities. This paper establishes a context-dependent DEA model to divide 35 cities of China into three levels, and considers improved value of the low-level when different contexts are used as reference backgrounds. Then use the idea of DEASort proposed by Alessio Ishizaka to prioritize the high level in combination with the index weights in the Public Safety Blue Book: China Urban Public Safety Development Report (2016-2017). The research shows that there is a significant stepwise difference in urban public safety of China: the public security situation in the eastern cities is relatively optimistic; the levels in the northeastern cities are basically the same, and there is still room for improvement; the central cities are stratified, some cities are relatively good, and some cities have larger improve space; there are major hidden dangers in the public security problems in western cities.

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Section: Fixed-weight Deasort Methodologymentioning

confidence: 99%

Urban Public Safety Risk Assessment of 35 Cities in China Based on Context-Dependent DEA Approach And DEASort

Zeng

2019

E3S Web Conf.

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“…Ishizaka et al ( 2018 ) proposed a variant of data envelopment analysis introduced as DEA Sort to solve the MCIC problem. In their method, they used information obtained from the analytic hierarchy process (AHP) method to bound criteria weights based on managers’ opinions.…”

Section: Literature Reviewmentioning

confidence: 99%

A hybrid fuzzy-stochastic multi-criteria ABC inventory classification using possibilistic chance-constrained programming

2020

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Inventory classification is a fundamental issue in the development of inventory policy that assigns each inventory item to several classes with different levels of importance. This classification is the main determinant of a suitable inventory control policy of inventory classes. Therefore, a great deal of research is done on solving this problem. Usually, the problem of inventory classification is considered in a multi-criteria and uncertain environment. The proposed method in this paper inspired by the notion of heterogeneous decision-making problems in which decision-makers deal with different types of data. To this aim, a mathematical modeling-based approach is proposed considering different types of uncertainty in classification information. Demand information is considered to be stochastic due to its time-varying nature and cost information is considered to be fuzzy due to its cognitive ambiguity. A hybrid algorithm based on chance-constrained and possibilistic programming is proposed to solve the problems. Considering the stochastic nature of demand information, solving the proposed model using the hybrid algorithm, the classification of items to three classes of extremely important, class A, moderately important, class B, and relatively unimportant, class C, items are determined along with a minimum inventory level required to deal with the stochasticity of demands information. The proposed approach is applied to a case study of classifying 51 inventory items. The obtained results assigned 22%, 39%, and 39% of the items to A, B, and C classes, respectively. Keywords Multi-criteria inventory classification Á Chance-constrained programming Á Possibilistic programming Communicated by V. Loia.

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“…FlowSort (Nemery and Lamboray 2008) and its complementary visual method GAIASort (Nemery, Ishizaka et al 2012) have been developed for PROMETHEE and GAIA respectively. MACBETHSort (Ishizaka and Gordon 2017)is the sorting extention of MACBETH and DEASORT (Ishizaka, Lolli et al 2018) is the sorting variant of DEA.…”

Section: Literature Reviewmentioning

confidence: 99%

Analytic hierarchy process-fuzzy sorting: An analytic hierarchy process–based method for fuzzy classification in sorting problems

Ishizaka¹,

Tasiou²,

Martínez

2019

Journal of the Operational Research Society

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Analytic Hierarchy Process (AHP) is a well-founded and popular method in the Multi-Criteria Decision Analysis (MCDA) field. Recently, AHPSort, a sorting variant, uses crisp class-assignment of alternatives. This can sometimes be misleading, especially for alternatives near the border of two classes. This paper aims at making the class assignment process in AHPSort more flexible by using fuzzy sets theory, which facilitates soft transitions between classes and provides additional information about the membership of alternatives in each class that can be used to fine tune actions beyond the crisp sorting process. This essentially complements the ordinal information of its crisp variant with cardinal information as to the degree of membership of an alternative to each class. The applicability of the proposed approach is illustrated in a case study that regards the classification of London boroughs according to their safety levels.

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DEASort: Assigning items with data envelopment analysis in ABC classes

Cited by 54 publications

References 27 publications

Urban Public Safety Risk Assessment of 35 Cities in China Based on Context-Dependent DEA Approach And DEASort

Urban Public Safety Risk Assessment of 35 Cities in China Based on Context-Dependent DEA Approach And DEASort

A hybrid fuzzy-stochastic multi-criteria ABC inventory classification using possibilistic chance-constrained programming

Analytic hierarchy process-fuzzy sorting: An analytic hierarchy process–based method for fuzzy classification in sorting problems

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