scholarly journals A Joint Comparative Analysis of Routing Heuristics and Paperless Picking Technologies Using Simulation and Data Envelopment Analysis

2020 ◽  
Vol 10 (24) ◽  
pp. 8777
Author(s):  
Jean-Raymond Fontin ◽  
Shi-Woei Lin
Keyword(s):  
Data Envelopment Analysis ◽  
Cost Efficiency ◽  
Recent Literature ◽  
Ranking And Selection ◽  
Mixed Integer ◽  
Data Envelopment ◽  
Joint Performance ◽  
Routing Heuristics ◽  
Routing Policies ◽  
Programming Algorithms

Recent literature demonstrates that warehouse order picking performance is reflected in the logistics performance of downstream retailers. Warehouse solutions and policies significantly contribute to the improvement of distribution and delivery to retailers. This paper therefore reports an analysis of the joint performance of routing policies and picking technologies, and provides insights into the best ways to combine routing strategies and paperless solutions in order to optimize cost efficiency. We follow a multistage approach that combines mixed integer linear programming algorithms, data envelopment analysis (DEA), and ranking and selection. The results show that traversal-voice picking and midpoint-voice picking combinations are equally distributed over the most efficient subsets and that superior technology can enhance picking efficiency only to a certain level. The study provides guidelines for logistics managers on ways to combine warehouse solutions and policies in order to better streamline the operations. It offers an original framework to analyze the joint performance of picking routing and picking solutions by considering the effect of picking errors.

scholarly journals Cost efficiency of the Czech and Slovak banking sectors: an application of the data envelopment analysis

2016 ◽  
Author(s):  
Iveta Palecková
Keyword(s):  
Data Envelopment Analysis ◽  
Cost Efficiency ◽  
Commercial Banks ◽  
Banking Sector ◽  
Banking Industry ◽  
Returns To Scale ◽  
Data Envelopment ◽  
Cost Efficient ◽  
The Cost ◽  
Variable Returns To Scale

The aim of the paper is to estimate the cost efficiency of the Czech and Slovak commercial banks within the period 2010-2014. For empirical analysis the Data Envelopment Analysis input-oriented model with variable returns to scale is applied on the data of the commercial banks. The intermediation approach is adopted to define the inputs and outputs. The Czech commercial banks are more cost efficient than Slovak commercial banks. The development of average cost efficiency is similar in the Czech and Slovak banking industry. The most efficient Czech banks are Ceská sporitelna and Sberbank in the Czech banking sector, the most efficient Slovak bank is Privatbanka with 100% efficiency.

scholarly journals Bad Debt and Cost Efficiency in Vietnamese Commercial Banks

2015 ◽  
Vol 22 (1) ◽  
pp. 125-140
Author(s):  
Vinh Nguyen Thi Hong
Keyword(s):  
Data Envelopment Analysis ◽  
Cost Efficiency ◽  
Commercial Banks ◽  
Direct Relationship ◽  
Data Envelopment ◽  
Dea Method ◽  
Two Stages ◽  
The Cost ◽  
The Relationship ◽  
Bad Debt

The paper aims at exploring the relationship between bad debt and cost efficiency in Vietnamese commercial banks in the years 2007 – 2013. The research includes two stages: (i) Measuring the cost efficiency of banks by non-parameter Data Envelopment Analysis (DEA) method suggested by Coelli (2005); and (ii) Applying the Tobit model to identify two-way effects of bad debt and bank cost efficiency. The results show that the cost efficiency in Vietnamese commercial banks is 52.6% and there exists a direct relationship between bad debt and cost efficiency.

A DEA Based Model for Ranking Air Freighters Operational Efficiency

2013 ◽  
Vol 390 ◽  
pp. 155-160 ◽  
Author(s):  
Corrado lo Storto
Keyword(s):  
Decision Making ◽  
Data Envelopment Analysis ◽  
Ranking And Selection ◽  
Data Envelopment ◽  
Value For Money ◽  
Efficiency Calculation ◽  
Decision Making Problem ◽  
Dea Efficiency ◽  
The Cross ◽  
Rank And Select

This paper proposes a benchmarking model useful to rank and select aircraft used in the freight industry. The decision-making problem of aircraft ranking and selection is addressed by implementing an extension of Data Envelopment Analysis (DEA), i.e. the cross-efficiency calculation. DEA efficiency is a useful indicator to evaluate the value for money of an aircraft in the freight industry and its extension - the cross-efficiency measurement makes it possible to rank aircraft according to this value for money measurements. A sample of 22 air freighters is used to analyze the model validity. DEA scores show that 4 aircraft models only are evaluated as being full 100% efficient, and some old models (i.e., DC 9-10F) are as efficient as the recent aircraft models sold in the market (A300F and A330-200F).

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