Mohlo by se vám také líbit

Více informací o knize Performance Benchmarking in Public Transport Sector. The Data Envelopment Analysis (DEA) method

• Parametry knihy
• Anotace
• Oblíbené z jiného soudku

Nákupem získáte 39 bodů

Anotace knihy

Seminar paper from the year 2015 in the subject Business economics - Controlling, grade: 1,3, , course: Performance Benchmarking and Operations Research, language: English, abstract: The non-parametric approach is a common method for measuring the relative efficiency in the area of performance benchmarking and operations research. This approach does not require the a priori specification of a function. The estimation of the frontier of the production set only requires that the production set satisfies some properties, such as input and output factors. The Data Envelopment Analysis (DEA) method is a non-parametric approach that uses mathematical programming to esti-mate production frontiers and calculus efficiency scores. The above technical explanation is necessary, as the present seminar paper deals with the application of the DEA approach in the field of the public transport. The objective of this paper is to review the state of the art in performance benchmarking in terms of different DEA-based framework and criteria to measure efficiency in the environments of public transport. To contribute to this goal, the ambition is to provide a systematic analysis of the performance criteria of the DEA models. Consequently, the main focus of this paper is to examine and classify the performance criteria.

Parametry knihy

Zařazení knihy Knihy v angličtině Economics, finance, business & management Business & management Management & management techniques

• Plný název: Performance Benchmarking in Public Transport Sector. The Data Envelopment Analysis (DEA) method
• Autor: Andreas Davidek
• Jazyk: Angličtina
• Vazba: Brožovaná
• Počet stran: 28
• EAN: 9783668583191
• ISBN: 3668583196
• ID: 18680814
• Nakladatelství: Grin Publishing
• Hmotnost: 50 g
• Rozměry: 210 × 148 × 3 mm
• Datum vydání: 11. December 2017

Oblíbené z jiného soudku

---

---

---