Zobrazeno 1 - 10
of 70
pro vyhledávání: '"Mohammad Izadikhah"'
Autor:
Mohammad Izadikhah
Publikováno v:
Healthcare Analytics, Vol 2, Iss , Pp 100038- (2022)
Performance assessment can play an effective role in providing quality services in healthcare organizations. To develop and compete, hospitals need a performance evaluation system to measure the effectiveness and efficiency of their programs, process
Externí odkaz:
https://doaj.org/article/71a00cefc2cb4cbda3905541a6723eab
Autor:
Alireza Salehi, Mohammad Izadikhah
Publikováno v:
Decision Science Letters, Vol 3, Iss 2, Pp 225-236 (2014)
Decision making problem is the process of finding the best option out of all feasible alternatives. There are some methods for solving Multiple Criteria Decision-Making problems and Simple Additive Weighting (SAW) is one of the most popular ones. In
Externí odkaz:
https://doaj.org/article/c76bc5a24b5a4a15a072fc4fb828f109
Autor:
Mohammad Izadikhah
Publikováno v:
Management Science Letters, Vol 2, Iss 1, Pp 29-42 (2012)
Decision making problem is the process of finding the best option from all of the feasible alternatives. One of the most important concepts in decision making process is to identify the weights of criteria. In real-world situation, because of incompl
Externí odkaz:
https://doaj.org/article/9e01d3ec63214aeaa108180ae2431e0e
Autor:
Mohammad Izadikhah
Publikováno v:
Advances in Operations Research, Vol 2012 (2012)
Deriving the weights of criteria from the pairwise comparison matrix with fuzzy elements is investigated. In the proposed method we first convert each element of the fuzzy comparison matrix into the nearest weighted interval approximation one. Then b
Externí odkaz:
https://doaj.org/article/b38a40658a374482a70bfc6b16981dad
Autor:
Mohammad Izadikhah
Publikováno v:
Advances in Fuzzy Systems, Vol 2012 (2012)
Supplier selection is a fundamental issue of supply chain area that heavily contributes to the overall supply chain performance, and, also, it is a hard problem since supplier selection is typically a multicriteria group decision problem. In many pra
Externí odkaz:
https://doaj.org/article/4a0bde82a8444f959b0a39702083900f
Publikováno v:
European Journal of Operational Research. 308:1302-1318
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::36b4b9d1e2d7b56cf82c847f06c13277
https://doi.org/10.1016/j.ejor.2022.12.032
https://doi.org/10.1016/j.ejor.2022.12.032
Publikováno v:
Journal of Global Information Management. 30:1-38
Sustainability in the supply chain means considering environmental, social, and economic practices. Conventional data envelopment analysis (DEA) models deal with desirable, discretionary, and nonnegative data. However, there might be undesirable outp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6bdac2a6ef97f2c2080d023d2b10eaed
https://doi.org/10.4018/jgim.298679
https://doi.org/10.4018/jgim.298679
Publikováno v:
Operations Management Research.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::75959e49306caae26286012c263e21ee
https://doi.org/10.1007/s12063-022-00331-2
https://doi.org/10.1007/s12063-022-00331-2
Autor:
Mohammad Izadikhah, Hossein Dibachi
Publikováno v:
RAIRO - Operations Research.
Maintenance groups play an essential role in the successful operation of large companies and factories. Additionally, data envelopment analysis (DEA) is known as a valuable tool for monitoring the performance of maintenance groups. Especially, in con
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8f808783dbc5d4e8b5a655150791767a
https://doi.org/10.1051/ro/2022173
https://doi.org/10.1051/ro/2022173
Publikováno v:
Annals of Operations Research. 322:195-215
The objective of this study is to present a new stochastic two-stage data envelopment analysis (DEA) model for assessing the sustainability of supply chains. Unlike the conventional DEA models, which consider each decision making unit as a black box,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7b6e7e455bda97a1f2944b15d9fbac1f
https://doi.org/10.1007/s10479-021-04160-7
https://doi.org/10.1007/s10479-021-04160-7