Pregled bibliografske jedinice broj: 1052023
Comparative analysis of application efficiency of two iterative multi objective linear programming methods (MP method and STEM method)
Comparative analysis of application efficiency of two iterative multi objective linear programming methods (MP method and STEM method) // Central European journal of operations research, 26 (2018), 565-583 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 1052023 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Comparative analysis of application efficiency of two iterative multi objective linear programming methods (MP method and STEM method)
Autori
Perić, Tunjo ; Babić, Zoran ; Matejaš, Josip
Izvornik
Central European journal of operations research (1435-246X) 26
(2018);
565-583
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
Multi-objective linear programming ; MP method ; STEM method ; Interactive methods ; Production plan optimization
Sažetak
In this paper we consider a production plan optimization problem for a company that produces textile products. The problem is solved using two iterative methods: a new method based on the cooperative game theory (MP method) and the well-known STEM method. Their application efficiency and the solutions obtained are compared. For this purpose we use four groups of criteria: (1) the general characteristics of the method, (2) the criteria from the standpoint of the decision makers, (3) the criteria from the perspective of the analysts, and (4) the ‘economic’ criteria. The analysis indicates that both methods are highly efficient for solving this kind of production plan optimization problems. However, the decision-makers have evaluated the MP method better.
Izvorni jezik
Engleski
Znanstvena područja
Matematika, Ekonomija
POVEZANOST RADA
Ustanove:
Ekonomski fakultet, Split,
Ekonomski fakultet, Zagreb
Citiraj ovu publikaciju:
Časopis indeksira:
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus
- EconLit