Optimization of Fabric Production in The Textile Industry through Linear Programming to Maximize a Business Profits

Harianto MM, Dr Ir Raden Achmad (2018) Optimization of Fabric Production in The Textile Industry through Linear Programming to Maximize a Business Profits. Research Gate, Berlin, Germany.

[img] Text
OPTIMIZATION OF WOVEN FABRIC PRODUCTION IN TEXTILE INDUSTRY OF PT. ARGO PANTES TANGERANG.pdf

Download (1MB)

Abstract

The Study aim of this Research is to maximize business Profit in a Textile Industry. This Research method used the Dscriptive Quantitative approach and the study was conducted in districk of Cikokol Tangerang by collecting data from Textile Industry for years : 2016 – 2017 . The Data is analyzed by using the Linear Programming to maximize a business profit. Textile Industry is a manufacturing company which processes yarn and woven fabric. In the daily process the company has many problems or constrains in production planning. Uncertaintly demand of goods fluctuation has effect on shortage or Surplus production. Others problems are the constrain of raw materials, machine work hour, labour work hour, spindle hour per unit, Loom hour per unit, and the demand of the products. The Result of the study show that The Total profit earned by the Corporation at Tangerang to produce a T/C woven fabric is 6,67 doz with profit : US $ 133.400,- and for cotton 100% woven fabric is 6,67 doz with profit : US $ 100.050. with the assumtion of profit is in accordance with fixed objective and constrain function.

Item Type: Other
Subjects: Manajemen > Manajemen Produksi
Manajemen
Divisions: Fakultas Ekonomi > Manajemen
KODE PRODI: 571
Creators:
CreatorsNIM/NIDN
Harianto MM, Dr Ir Raden Achmad0418045804
Contributors:
ContributionNameNIDN/NIDK/NUP
AuthorHarianto MM, Dr Ir Raden Achmad0418045804
AssigneeKurniasari ST MM, RatihUNSPECIFIED
Depositing User: Dr Raden Achmad Harianto
Date Deposited: 07 Sep 2020 01:40
Last Modified: 07 Sep 2020 01:40
URI: http://repository.ubharajaya.ac.id/id/eprint/5060

Actions (login required)

View Item View Item