Zobrazeno 1 - 10
of 49
pro vyhledávání: '"Mohsen vaez-ghasemi"'
Publikováno v:
Muṭāli̒āt-i Mudīriyyat-i Ṣan̒atī, Vol 19, Iss 62, Pp 139-192 (2021)
Data envelopment analysis is auseful method to measurement unified rational and operational and environmental efficiency a supply chain. Supply chain management divisions produce two types outputs based on economic activities and inputs separate into
Externí odkaz:
https://doaj.org/article/19e9fb90382f4b63a8fb8cb9134c1a29
Publikováno v:
Muṭāli̒āt-i Mudīriyyat-i Ṣan̒atī, Vol 18, Iss 58, Pp 193-214 (2020)
Data Envelopment Analysis (DEA) is an estimator. This estimator tries to assess a relationship between multiple inputs and multiple outputs, and an identified technology. In traditional DEA models, firms are classified into two divisions, efficient a
Externí odkaz:
https://doaj.org/article/efa8422661da4c60b76197f0e0baf96c
Publikováno v:
AIMS Energy, Vol 8, Iss 1, Pp 48-80 (2020)
One of the most serious problems in electricity supply chain management is excessive energy consumption in oil and gas fields and power plant sections and the control wasted energy or power losses in transmission and distribution lines. The resource
Externí odkaz:
https://doaj.org/article/523631d7abba4d6eafff008144e40aa2
Publikováno v:
Discrete Dynamics in Nature and Society, Vol 2022 (2022)
Resource-constrained project scheduling has been a significant and practical problem in recent decades. In this research, besides previous assumptions and models regarding scheduling, the reliability function with a novel approach is included in the
Externí odkaz:
https://doaj.org/article/0747c4320617422f87e75083a7d0dd08
Publikováno v:
Operations Research and Decisions, Vol vol. 30, Iss no. 1, Pp 97-118 (2020)
In the real world, there are processes whose structures are like a parallel-series mixed network. Network data envelopment analysis (NDEA) is one of the appropriate methods for assessing the performance of processes with these structures. In the pape
Externí odkaz:
https://doaj.org/article/5a24bfc233a54767b549b1d8647d4abf
Publikováno v:
AIMS Mathematics, Vol 5, Iss 2, Pp 811-827 (2020)
Data envelopment analysis (DEA) is a data-oriented procedure to evaluate the relative performances of a set of homogenous decision making units (DMUs) with multiple incommensurate inputs and outputs. Performance measurement using tools such as DEA ne
Externí odkaz:
https://doaj.org/article/78ec892cc20f49cf943d3bb6528db2ce
Publikováno v:
International Journal of Industrial Engineering and Production Research, Vol 29, Iss 4, Pp 483-496 (2018)
Natural disasters and crisis are inevitable and each year impose destructive effects on human as injuries and damage to property. In natural disasters and after the outbreak of the crisis, demand for logistical goods and services increase. Effective
Externí odkaz:
https://doaj.org/article/d8cbcdd7914e4d70adfc0dcfe2b17ff8
Autor:
Mohsen Vaez-Ghasemi
Publikováno v:
Iranian Journal of Optimization, Vol 07, Iss 2, Pp 815-821 (2015)
A considerable problem in competitive trade world is choosing the best supply chain. As a result in much more serious circumstances of competitions looking for the best supplier for manufacturing, for preparing raw material, is very significant. Mean
Externí odkaz:
https://doaj.org/article/cdbb75a7382c470f9726a919af6af888
Publikováno v:
Journal of Applied Mathematics, Vol 2013 (2013)
Data envelopment analysis (DEA) models can calculate the Malmquist Productivity Index (MPI). Classic Malmquist Productivity Index shows regress and progress of a DMU in different periods with efficiency and technology variations without considering t
Externí odkaz:
https://doaj.org/article/e79aeea690354c4399fc3ab94d9a289a
Publikováno v:
Journal of Modelling in Management. 18:36-60
Purpose As returns to scale (RTS) describes the long run connection of the changes of outputs relative to increases in the inputs, the purpose of this study is to answer the following questions: If the proportionate changes exist in the inputs, what
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a4c4686efbca878ccfe619fa70a7c6b0
https://doi.org/10.1108/jm2-09-2020-0228
https://doi.org/10.1108/jm2-09-2020-0228