dc.contributor.author | Aboumasoudi, Abbas Sheikh | |
dc.contributor.author | Mirzamohammadi, Saeed | |
dc.contributor.author | Makui, Ahmad | |
dc.contributor.author | Tamošaitienė, Jolanta | |
dc.date.accessioned | 2023-09-18T16:43:41Z | |
dc.date.available | 2023-09-18T16:43:41Z | |
dc.date.issued | 2016 | |
dc.identifier.issn | 0424-267X | |
dc.identifier.other | (BIS)VGT02-000031761 | |
dc.identifier.uri | https://etalpykla.vilniustech.lt/handle/123456789/116377 | |
dc.description.abstract | The main reason for creating value chain is fulfilling needs and organizational resources with the least cost and highest quality. Application of most of the current techniques has merely intended to choose the best scenario. But industrial units need to build an ideal scenario as a value chain which focuses on intangible interstitial and hidden factors: good (good nature), bad (bad nature), fixed (obligatory nature) and free (not identifying their nature) and creates value. Therefore, the model presented in this article answers this issue. First of all we present a model based on the network approach of data envelopment analysis, then we assess and rank the stages based on the scenarios for the stages forming the value chain and finally, the ideal decision unit is presented. For this reason, the general efficiency is designed with two natures; 1.input-centered (concentration on the costs) and 2.output-centered (concentration on the incomes). | eng |
dc.format | PDF | |
dc.format.extent | p. 215-233 | |
dc.format.medium | tekstas / txt | |
dc.language.iso | eng | |
dc.relation.isreferencedby | Social Sciences Citation Index (Web of Science) | |
dc.relation.isreferencedby | Science Citation Index Expanded (Web of Science) | |
dc.source.uri | https://ecocyb.ase.ro/nr20161/13%20-%20Abbas%20S.%20ABOUMASOUDI,%20S.%20MIRZAMOHAMMADI(T).pdf | |
dc.subject | SD03 - Pažangios statybinės medžiagos, statinių konstrukcijos ir technologijos / Innovative building materials, structures and techniques | |
dc.title | Development of network-ranking model to create the best production line value chain: a case study in textile industry | |
dc.type | Straipsnis Web of Science DB / Article in Web of Science DB | |
dcterms.references | 25 | |
dc.type.pubtype | S1 - Straipsnis Web of Science DB / Web of Science DB article | |
dc.contributor.institution | Iran University of Science and Technology | |
dc.contributor.institution | Vilniaus Gedimino technikos universitetas | |
dc.contributor.faculty | Statybos fakultetas / Faculty of Civil Engineering | |
dc.subject.researchfield | S 003 - Vadyba / Management | |
dc.subject.researchfield | T 002 - Statybos inžinerija / Construction and engineering | |
dc.subject.ltspecializations | L104 - Nauji gamybos procesai, medžiagos ir technologijos / New production processes, materials and technologies | |
dc.subject.en | Best value chain | |
dc.subject.en | Data envelopment analysis (DEA) | |
dc.subject.en | Network-ranking models | |
dc.subject.en | Ideal decision making unit. | |
dcterms.sourcetitle | Economic computation and economic cybernetics studies and research (ECECSR) | |
dc.description.issue | no. 1 | |
dc.description.volume | Vol. 50 | |
dc.publisher.name | Academy of Economic Studies | |
dc.publisher.city | Bucharest | |
dc.identifier.doi | 000372478800013 | |
dc.identifier.elaba | 19610834 | |