Assessment of efficiency of military transport units using the DEA and SFA methods

Despić, Dejan R.; Bojović, Nebojša J.; Kilibarda, Milorad; Kapetanović, Marko

doi:10.5937/vojtehg67-18508

Cited by 10 publications

(7 citation statements)

References 13 publications

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“…to evaluate risk in transportation and traffic systems [13,14]. The DEA method has also found application in military organization [15,16,17]. This is shown in Ref.…”

Section: Literature Reviewmentioning

confidence: 99%

“…This is shown in Ref. [15] presenting the application of the DEA and SFA methods for evaluating the efficiency of the work of the selected ten military transport units and 173 military motor vehicles used in cargo transportation tasks for the needs of supply and special needs of the army, individually and within six defined classes. We also see the application of the DEA method and the determination of the efficiency of the Liaoning port logistics [16].…”

Section: Literature Reviewmentioning

confidence: 99%

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An Integrated Decision-Making Model for Efficiency Analysis of the Forklifts in Warehousing Systems

et al. 2021

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In the logistics world, special attention should be given to warehousing systems, cost rationalization, and improvement of all the factors that affect efficiency and contribute to smooth functioning of logistics subsystems. In real time industrial practice, the issue of evaluating and selecting the most appropriate forklift involves a complex decision-making problem that should be formulated through an efficient analytical model. The forklifts efficiency plays a very important role in the company. The forklifts are being used on a daily basis and no logistical processes could be done without them. Therefore, it has been decided to determine their efficiency, which will contribute to the optimization of the process in this logistics subsystem. This study puts forward an integrated forklift selection model using Data Envelopment Analysis (DEA), Full Consistency Method (FUCOM) and Measurement Alternatives and Ranking According to the Compromise Solution (MARCOS) methods. Five input parameters (regular servicing costs, fuel costs, exceptional servicing costs, total number of all minor accidents and damage caused by forklifts) and one output parameter (number of operating hours) were first identified to assess efficiency of eight forklifts in a warehousing system of the Natron-Hayat company using the DEA model. This step allows sorting of efficient forklifts which are subsequently evaluated and ranked using FUCOM and MARCOS methods. A sensitivity analysis is also performed in order to check reliability and accuracy of the results. The findings of this research clearly show that the proposed decision-making model can significantly contribute to all spheres of business applications.

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“…to evaluate risk in transportation and traffic systems [13,14]. The DEA method has also found application in military organization [15,16,17]. This is shown in Ref.…”

Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

An Integrated Decision-Making Model for Efficiency Analysis of the Forklifts in Warehousing Systems

et al. 2021

View full text Add to dashboard Cite

show abstract

“…Where; j is the number of decision-making units (DMU), r is the number of outputs, i is the number of inputs, is the value of the rth output for the jth DMU, is the value of the ith input for the jth DMU, is the weight of the rth output, is the weight of the ith input and ℎ 0 refers to relative efficiency. In this model, any DMU must be ℎ 0 = 1 in order to be effective (Charnes et al, 1978;Despic et al, 2019) .…”

Section: Multiple Criteria Data Envelopment Analysis (Mcdea)mentioning

confidence: 99%

Investigation into the efficiencies of European football clubs with bi-objective multi-criteria data envelopment analysis

Arsu

2021

Decis. Mak. Appl. Manag. Eng.

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A financially successful football club can achieve sporting achievements as well as become financially stable. From this point of view, in this study, the efficiencies of clubs were investigated with the Bi-Objective Multi-Criteria Data Envelopment Analysis (BiO-MCDEA) model by using financial and sporting data of the 2015-2016, 2016-2017 and 2017-2018 seasons of 10 football clubs in the Big-Five League which is the locomotive of the football industry. In the study, the number of social media followers, the average number of viewers and total market value were used as input, and the UEFA club score and total revenues were used as output. As a result, Arsenal, Paris Saint-Germain, and Juventus were determined as efficient in the 2015-2016 season, Paris Saint-Germain and Liverpool in the 2016-2017 season, Manchester United, Paris Saint-Germain and Chelsea in the 2016-2017 season. The reasons as to why Paris Saint-Germain was efficient in all three seasons were also examined. In addition, in the sensitivity analysis conducted to determine the effect of inputs and outputs on the model, it was concluded that efficiency was highly related to financial data.

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“…A combination of DEA and AHP can be used for different problems in logistics [25,26]. The stochastic frontier analysis (SFA) is also combined with the DEA method [27]. PCA-DEA model is used for estimating DC efficiency [8,28].…”

Section: Introductionmentioning

confidence: 99%

Measuring Efficiency Change in Time Applying Malmquist Productivity Index: A Case of Distribution Centres in Serbia

2021

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In the last decade, more and more attention has been paid to the efficiency of logistics systems not only in the literature but also in practice. The reason is the huge savings that can be achieved. In a very dynamic market with environmental changes distribution centers have to realize their activities and processes in an efficient way. Distribution centers connect producers with other participants in the supply chain, including end-users. The main objective of this paper is to develop a DEA model for measuring distribution centers’ efficiency change in time. The paper investigates the impact of input and output variables selection on the resulting efficiency in the context of measuring the change in efficiency over time. The selection of variables on the one hand is a basic step in applying the DEA method. On the other hand, the number of basic and derived indicators that are monitored in real systems is increasing, while the percentage of those used in the decision-making process is decreasing (less than 20%). The developed model was tested on the example of a retail chain operating in Serbia. The main factors changing the efficiency have been identified, as well as the corresponding corrective actions. For measuring efficiency change in time Malmquist productivity index is used. The developed approach could help managers in the decision-making process and also represents a good basis for further research.

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Assessment of efficiency of military transport units using the DEA and SFA methods

Abstract: Despić, D. et al. Assessment of efficiency of military transport units using the DEA and SFA methods, pp.68-92 assessments, and therefore on possible management decisions based on the performed efficiency analysis.

Cited by 10 publications

References 13 publications

An Integrated Decision-Making Model for Efficiency Analysis of the Forklifts in Warehousing Systems

An Integrated Decision-Making Model for Efficiency Analysis of the Forklifts in Warehousing Systems

Investigation into the efficiencies of European football clubs with bi-objective multi-criteria data envelopment analysis

Measuring Efficiency Change in Time Applying Malmquist Productivity Index: A Case of Distribution Centres in Serbia

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