Abstract In this paper, we offer a multi‐objective set‐partitioning formulation for team formation problems using goal programming. Instead of selecting team members to teams, we select suitable teams from a set of teams. This set is generated using a heuristic algorithm that uses the social network of potential team members. We then utilize the proposed multi‐objective formulation to select the desired number of teams from this set that meets the skill requirements. Therefore, we ensure that selected teams include individuals with the required skills and effective communication with each other. Two real datasets are used to test the model. The results obtained with the proposed solution are compared with two well‐known approaches: weighted and lexicographic goal programming. Results reveal that weighted and lexicographic goal programming approaches generate almost identical solutions for the datasets tested. Our approach, on the other hand, mostly picks teams with lower communication costs. Even in some cases, better solutions are obtained with the proposed approach. Findings show that the developed solution approach is a promising approach to handle team formation problems.
Amac: Bu calisma, fazla kilolu ve obez yetiskin kadinlarda bireylerde agirlik kaybi olmadan oncesi ve sonrasi donemde antropometrik olcumler, duygu durum degisikliklerinin beslenme ve asiri besin istegi uzerindeki etkisini belirlemek amaci ile yurutulmustur. Gerec ve Yontemler: Calisma 3 ay icerisinde Aris Istanbul Guzellik ve Bakim Merkezi’ ne basvuran 25 fazla kilolu veya obez yetiskin kadin ile yurutulmustur. Bireylere ilk gorusmede; 31 soruluk anket formu ve bazi besinlere ne kadar yeme istegi duyduklari hakkinda bilgi alabilmek icin Gorsel Analog Skalasi (Visual Analogue Scale-VAS), uc gunluk besin tuketim kaydi, Uluslararasi Fiziksel Aktivite Anketi (kisa form) (IPAQ) ve Asiri Besin Istegi Olcegi (ABIS) olcegi uygulanmis ve bu bilgiler %10 agirlik kaybi sonrasi tekrarlanmistir. Bulgular: Calismaya katilan bireylerin yas ortalamasi 30.4±9.52 yil olarak belirlenmistir. Bireylerin agirlik kaybi oncesi vucut agirligi ortalamasi 86.23±16.45 kg iken, agirlik kaybi sonrasi 76.16±14.62 kg olarak gozlenmistir. Bireylerin agirlik kaybi oncesi ve sonrasi ABIS skor ortalamalari arasinda istatistiksel olarak anlamli bir fark gozlenmistir (p<0.001). Enerji, protein (TE%) ve toplam yag (TE %) arasinda istatistiksel olarak anlamli bir fark bulunmustur (p<0.05). Bireylerin agirlik kaybi oncesi ve sonrasi; A vitamini, E vitamini, niasin, folat, C vitamini, cinko ve bakir alim ortalamalari arasinda istatistiksel olarak anlamli bir fark gozlenmistir (p<0.05). Agirlik kaybi oncesi ABIS skoru ile enerji arasinda pozitif yonlu anlamli iliski belirlenmistir (p<0.05). Sonuc: Obez bireylerde agirlik kaybi ile bireylerin yasam kalitesinde, antropometrik olcumlerinde ve biyokimyasal bulgularinda iyilesme saglamis ve kisiye ozel hazirlanan liste ile obez bireyin siki takibi, kontrolleri surdurulebilir beslenmeyi beraberinde getirmistir. Anahtar kelimeler: Agirlik kaybi, asiri besin istegi, beslenme durumu, emosyonel beslenme
In this study, we propose a bilevel programming model for a theoretical industrial symbiosis network located in an Eco-Industrial Park. Plants in this forest products-based network comprising a sawmill, a plywood manufacturer, a particleboard producer, a fiberboard producer and a pellet producer aim to minimize their production related costs. On the other hand, the park authority aims to minimize the use of raw materials to foster by-product exchange in the park. Therefore, we propose a bilevel programming model where the park authority is the upper-level decision-maker/leader and the plants in the network are the lower-level decision makers/ followers. Our aim is to investigate the effects of industrial symbiosis on emissions and the profitability of the companies. Results s how only by decreasing raw material use, companies in such a network could stay profitable without increasing emissions.
