International Journal of Industrial Optimization (IJIO)
Vol. 3 No. 2 (2022)

Minimizing production cost for kendang djembe production through goal programming model

Nabila Puspanola (Universitas Pembangunan Nasional Veteran Jawa Timur)
Sumiati Sumiati (Universitas Pembangunan Nasional Veteran Jawa Timur)



Article Info

Publish Date
10 Dec 2022

Abstract

Kendang djembe is a percussion instrument played by striking with the fingers and palms. The body of the kendang djembe is generally made of wood and shaped like a cup or mug, carved either by machine or traditionally only by hand. This problem affects the production costs, the employee working house, and the profit of kendang djembe. Customer orders and requirements determine the production process for kendang djembe. It leads to fluctuations in market demand, affecting production costs and the working hours of kendang djembe employees. As a result, employees work overtime when orders rush in, resulting in poor product finishes such as crude engraving and painting. This research aims to minimize the production cost of kendang djembe, maximize the employee working hours, and maximize the profit by using the goal programming method. Goal programming is applied to decide the number of kendang djembe, the minimum production cost, and the time for each kendang djembe. The result of this research is that CV. Maharani Abadi has to make 237 units of kendang djembe paintings, 1266 kendang djembe carvings, 870 kendang djembe painting carvings, and 91 kendang djembe deep carvings. CV. Maharani spent a production cost of Rp 399,413,400, with the employee working 1846.36 hours, and obtained a maximum profit of Rp 126,526,600. This research helps the company to avoid unprofitable options in the production process of kendang djembe.

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Journal Info

Abbrev

ijio

Publisher

Subject

Decision Sciences, Operations Research & Management Engineering Industrial & Manufacturing Engineering

Description

The Journal invites original articles and not simultaneously submitted to another journal or conference. The whole spectrums of Industrial Engineering are welcome but are not limited to Metaheuristics, Simulation, Design of Experiment, Data Mining, and Production System. 1. Metaheuristics: ...