Open AccessMultivariate estimation of production duration of steel wire batches on the basis of situational-regulatory models. Message 2
Author(s) -
С. М. Кулаков,
А. И. Мусатова,
В. Н. Кадыков
Publication year - 2019
Publication title -
izvestiâ vysših učebnyh zavedenij. černaâ metallurgiâ
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.3
H-Index - 7
eISSN - 2410-2091
pISSN - 0368-0797
DOI - 10.17073/0368-0797-2019-8-652-659
Subject(s) - duration (music) , production (economics) , computer science , industrial engineering , regionalisation , task (project management) , batch production , operations research , material flow , process (computing) , estimation , operations management , manufacturing engineering , reliability engineering , engineering , economics , systems engineering , art , ecology , economic geography , literature , biology , macroeconomics , operating system
Accurate accounting and rating of duration of production cycles is necessary for rational planning and forecasting of production time. Production duration of products batches is the basis for operational schedules design. Without duration of cycles, it is impossible to establish calendar dates for start-up of semi-finished products to a particular stage of processing, as well as to determine timing of production and timing of the products batch for individual production sites. The considered task of multivariate estimation of standard duration of manufacturing of a specific batch of steel wire is to determine optimal duration of operations required for this batch production for each situation. To solve it, it is necessary: to build models of production processes performed in each branch of steelwire complex; to determine composition, duration and conditions for performing technological, natural, labor, control and transport operations; to specify the type and amount of equipment used in each department; tolist types of material flow units (riots, skeins, coils); to establish nature and type of movement of semi-finished products (products) in operations of each process; to specify ways of moving products from each previous peration for each subsequent (piece, batch, batch), as well as the number of packages and lots being moved; to take into account the type of applied production lines (continuous, semi-continuous, discrete). All of the above is reflected in presented multi-loop algorithm, approbation of which is performed by simulation method using field data of operating enterprise.