Sakalli, Umit SamiBaykoc, Omer FarukBirgoren, Burak2020-06-252020-06-252010closedAccess0953-72871366-5871https://doi.org/10.1080/09537280903449438https://hdl.handle.net/20.500.12587/4879Birgoren, Burak/0000-0001-9045-6092This article discusses a possibilistic aggregate production planning (APP) model for blending problem in a brass factory; the problem computing optimal amounts of raw materials for the total production of several types of brass in a planning period. The model basically has a multi-blend model formulation in which demand quantities, percentages of the ingredient in some raw materials, cost coefficients, minimum and maximum procurement amounts are all imprecise and have triangular possibility distributions. A mathematical model and a solution algorithm are proposed for solving this model. In the proposed model, the Lai and Hwang's fuzzy ranking concept is relaxed by using 'Either-or' constraints. An application of the brass casting APP model to a brass factory demonstrates that the proposed model successfully solves the multi-blend problem for brass casting and determines the optimal raw material purchasing policies.eninfo:eu-repo/semantics/closedAccessblendingpossibilistic programmingaggregate production planningbrass castingArticle21331933810.1080/095372809034494382-s2.0-77951192753Q1WOS:000277651000006Q3