Open AccessOptimization of aggregate planning of rice husk charcoal production with Fuzzy Goal Programming approach
Author(s) -
Erni Krisnaningsih,
Taufik Djatna,
Yandra Arkeman,
Marimin Marimin,
Erliza Hambali
Publication year - 2022
Publication title -
sinergi
Language(s) - English
Resource type - Journals
eISSN - 2460-1217
pISSN - 1410-2331
DOI - 10.22441/sinergi.2022.1.009
Subject(s) - husk , charcoal , goal programming , fuzzy logic , production (economics) , membership function , production planning , aggregate (composite) , aggregate planning , computer science , process (computing) , fuzzy set , mathematical optimization , mathematics , artificial intelligence , economics , materials science , botany , macroeconomics , metallurgy , composite material , biology , operating system
This study proposes a Fuzzy Goal Programming approach to optimize the problem of aggregate planning of production processes in companies that produce charcoal husks. The application proposed to the company describes the process of Rice Husk Charcoal Production taking into account the uncertain factors involved in the aggregate planning process of Rice Husk charcoal production. Decision-making related to the level of material needs in each type of rice husk charcoal product is considered based on planning for the next 12 months by including weighting value in membership function, determination of membership function of each function objectives with equivalent Crip of fuzzy goal programming. Fuzzification is based on three main objectives with three membership levels for each purpose of Goal Programming. This research provides the results of the proposed adaptive model applied to companies that produce charcoal husks.