EVALUASI KAPASITAS PRODUKSI BAN MENGGUNAKAN METODE RCCP DENGAN PENDEKATAN BOLA

2020 ◽  
Vol 6 (1) ◽  
pp. 6
Author(s):  
Tigar Putri Adhiana ◽  
Indro Prakoso ◽  
Nidya Pangestika
Keyword(s):  
Production Process ◽  
Capacity Planning ◽  
Consumer Demand ◽  
Production Capacity ◽  
Production Costs ◽  
Curing Process ◽  
Production Schedule ◽  
Tire Production ◽  
Rough Cut

Capacity planning in a company's production process needs to be considered so that the products produced meet consumer demand. PT X, is a manufacturing company that focuses on tire production. One type of large-sized tire product that has the highest demand is the ABC type with a sTabel production amount per month and demand that goes up every year. In terms of fulfilling customer demand, especially requests for large tires with type ABC, PT X often has difficulty in meeting consumer demand, this happens because the capacity of the machine is not available. Therefore, the existing production capacity must be evaluated to find out whether the available capacity is sufficient with the required capacity. To analyze this problem, the Rough Cut Capacity Planning (RCCP) method, this method is to analyze and test the determination of capacity in the master production schedule. Calculation of available capacity and capacity required in a year is carried out for the process carried out, namely: Building, Spreading and venting, curing, and Trimming. For the building and trimming process, it is found that the decision of the acupacity is fulfilled, while the Spreading and venting process is required to add 1 machine, and the curing process is required to add the machine according to the number of requests per month. From these results it can be given a proposal that needs to be considered in meeting the capacity to meet consumer needs while still paying attention to production costs.

scholarly journals Analysis of production capacity planning to meet the consumer request using the Rough Cut Capacity Planning (RCCP) method in PT. Maccon Generasi Mandiri Makassar, Indonesia

2021 ◽  
Vol 12 (2) ◽  
pp. 510-517
Author(s):  
Lamatinulu ◽  
Ahmad Fadhil ◽  
Nurhayati Rauf ◽  
Suraidah
Keyword(s):  
Capacity Planning ◽  
Consumer Demand ◽  
Production Capacity ◽  
Engine Performance ◽  
Optimal Production ◽  
Autoclaved Aerated Concrete ◽  
Hours Of Work ◽  
Demand Rate ◽  
Aerated Concrete ◽  
Rough Cut

Maccon Generasi Mandiri Makassar company is one of a manufacturing company engaged in the production of light brick AAC (Autoclaved Aerated Concrete). PT. Maccon Generasi Mandiri Makassar has a production capacity of 15024 〖 m〗^3 in a month or 180288 〖 m〗^3 in a year. However, with this capacity, the company is often unable to meet high consumer demand of 181450 〖 m〗^3 in a year due to less than optimal engine performance, a number of hours of work and an unbalanced workforce in the producing light brick of ACC (Autoclaved Aerated Concrete). This requires the company to plan the optimal production of capacity in order to fulfill the consumer demand in a timely and appropriate amount so that the expected of company profits will be increased. The purpose of this research is to plan production capacity in the future based on the demand rate of the consumer using the Rough Cut Capacity Planning (RCCP) with the method is Bill of Labor Approach (BOLA) technique. Based on the data processing which has been done, the recommended made were a combination of engine additions and working time. This is realized to fulfill the lack of production capacity. For the January Period = 19872 hours/month, February = 19008 hours/month, March = 19872 hours/month, April = 19008 hours/month, May = 18144 hours/month, June = 18144 hours/month, July = 19872 hour/month, August = 18144 hours/month, September = 17280 hours/month, October = 18144 hours/month, November = 18144 hours/month, December = 17280 hours/month.

scholarly journals ANALISA PERENCANAAN KAPASITAS PRODUKSI PADA PT. MUNCUL ABADI DENGAN METODE ROUGH CUT CAPACITY PLANNING

2018 ◽  
Vol 8 (2) ◽  
pp. 91
Author(s):  
Iksan Iksan
Keyword(s):  
Capacity Planning ◽  
Production Capacity ◽  
Washing Machine ◽  
Production Forecast ◽  
Production Index ◽  
Forecast Result ◽  
One Year ◽  
Production Target ◽  
Rough Cut ◽  
Planning Production

Production capacity planning this company have obstacle in meeting its production target, then company oftentimes unable to fulfill consumer demands. It can be inflict the company loose. The problems is how planning production capacity based on Rough Cut Capacity Planning (RCCP) Method in order to make consumers demand be able to supplied? “ The researcher attempt to resolving problem in PT Muncul Abadi by aiming calculate product capacity plan based on Rough Cut Capacity Planning Method and determine required product. To be useful as consideration for the company in planning production. Forecast done within the coming one year term. Capacity planning base on Rough Cut Capacity Planning (RCCP) Method. From forecast result toward previous demand quantity period within 12 periods we could be make production index schedule and order Bill of Resources with standard time that is 0,000316 hours/kg. Able to know machine capacity need in 1 workday = 8 hours day, with 3 shifts per day, 1 week = 6 workdays, 1 month = 25 effective workdays then : available time per month = 25 effective workdays x 8 hours day x 3 shift per day = 600 hours/month. Available capacity for Washing machine = 1.394 hours/month. Available capacity for Crushing machine = 1.394 hours/month. Available capacity for Pelletizing machine = 1.859 hours/month.

scholarly journals PERENCANAAN DAN PENGENDALIAN KAPASITAS PRODUKSI PRODUK RAKITAN RADIO TIPE SOUNESS SNI 4250

2018 ◽  
Vol 20 (1) ◽  
pp. 40-47
Author(s):  
Abdul Rahim Matondang ◽  
Widodo Widodo
Keyword(s):  
Production Process ◽  
Production Planning ◽  
Capacity Planning ◽  
Pure Strategy ◽  
Raw Material ◽  
Optimization Approach ◽  
Production Schedule ◽  
Middle Term ◽  
Individual Product

Production system take an important role in industries, especially in manufacturing industries. This role determine the keys of successful company. Production process is an activity which produce finished product from raw material that involve machine, energy, and technique knowledge. Production process is real activity and can be seen by human being. The problems those always be faced in indutries management’s are the arrangement of production schedule, such lack of inventory or overstock once the settlement of production process isn’t on time. Production planning and control is activity to determine what product that will be produced, how many product that will be produced and how many labors needed in production processes. By using production planning and control’s method, those problems can be minimalized. Aggregate planning is one of production planning a.nd control’s method. By using this method, production planning could be done by using unit of replacement product so that the output of this planning isn’t declared in individual product. So, the output of aggregate planning isn’t planning in form of individual product but aggregate’s product. There are some strategies on aggregate planning such as pure strategy on aggregate planning and mixed strategy on aggregate planning. In this research, method of aggregate planning that used is optimization approach by linier rule. This method used to make long term planning and middle term planning. Long term planning consists of product forecasting and aggregate planning. The middle term planning consist of master production schedule and rough cut capacity planning. The result of this research is capacity needed and capacity available to determine which work center is drum and which isn’t. Conclusion of this research that capacity of each work center in perioad january to december 2018 is non drum. This indicate the good scheduling in capacity planning.

scholarly journals Nilai Tambah Produk Olahan Jahe Merah pada UD. VisionBali Herbal Indonesia, Denpasar

2017 ◽  
Author(s):  
ARIEF SETIAWAN ROSO ◽  
I KETUT SUAMBA ◽  
NI WAYAN PUTU ARTINI
Keyword(s):  
Production Process ◽  
Raw Materials ◽  
Production Costs ◽  
Raw Material ◽  
Added Value ◽  
Chemical Components ◽  
Red Ginger ◽  
The Cost ◽  
Product Output

The Added Value of Processed Red Ginger Product at UD. VisionBali Herbal Indonesia, DenpasarThis research aimed to determine the added value of red ginger as an herbal drink in one production process and to determine the level of profits earned by the company in the red ginger processing in one production process. Determination of the study area was done purposively and the analytical methods used was the method of added value calculation, i.e. the product value is deducted by the value of raw materials and other supporting materials.It can be concluded from the result of the research that the added value of the red ginger processing business obtained in one production process is Rp. 84.600,00/kg. The added value is obtained from the deduction of the value of the product/output of Rp. 175.000,00/kg with the cost of raw material (input prices) Rp. 25.000,00/kg and the contribution of the cost of other inputs of Rp. 65.400,00/kg. It was also found that the profits gained by the manufacturer from the processed red ginger into herbal drink in one production process was Rp. 200.954,06. The suggestion that can be given to the company is to put more attention in the details of its production costs so as not to result in a low ratio of added value and further to improve the marketing of the products, so that people are interested in re-use of herbal medicine that is free of chemical components.

scholarly journals Pengendalain Harga Pokok Produksi Dengan Metode Full Costing Pada “Kerupuk Sari Udang Mbah Oerip-Sidoarjo”

2019 ◽  
Vol 3 (1) ◽  
pp. 40-49
Author(s):  
Darno Darno
Keyword(s):  
Production Process ◽  
Raw Materials ◽  
Production Costs ◽  
Calculation Methods ◽  
Cost Of Production ◽  
The Cost ◽  
A Company

Companies must be able to compete in terms of prices by managing the handling of raw materials, labor and overhaed factories. All three are very important because they directly affect the cost of the product (HPP). UD company Redjo Makmoer Indonesia, is a company that produces crackers. For the determination of production costs and pricing of sales, the company makes a policy on the method of calculating the cost of production. In addition to pricing, also to control the process and reduce the size of the company's production costs. Based on observations for one month the production process, the cost of production with the method of the company that has been run is Rp. 40,100.00. With the full costing method, Rp. 41,500.00. It can be concluded that the cost of production based on the two calculation methods above there are differences or differences. With the full costing method, the cost of production is higher. This shows that so far the calculations made by the company have several elements that have not been included in the calculation.

scholarly journals PERENCANAAN DAN PENGENDALIAN KAPASITAS WAKTU PRODUKSI DENGAN METODE ROUGH CUT CAPACITY PLANNING PADA SISTEM INFORMASI DI PERCETAKAN MAXIMEM

Compiler ◽  
2013 ◽  
Vol 2 (2) ◽  
Author(s):  
Rifdan Muntaqi ◽  
Anton Setiawan Honggowibowo ◽  
Dwi Nugraheny
Keyword(s):  
Decision Making ◽  
Capacity Planning ◽  
Processing Time ◽  
Production Capacity ◽  
Test Results ◽  
Planning And Control ◽  
Control Production ◽  
Planning Methods ◽  
And Control ◽  
Rough Cut

The increasing consumer demand for printing services that utilize existing capacity resulting in an imbalance in the production floor. When orders come in, the company has always approved the transaction without first reviewing the available resources. Time capacity planning and control is one very important element in decision-making. On research planning and control of production capacity using the data available capacity in each period and the capacity required to fulfill orders in the period.Capacity Planning and Control Production Time Rough Cut Capacity Planning Methods to determine the estimated processing time, capacity reports, and decisions o f the order. The test results o f the 30 respondents apilkasi display application users are 67%, 70% users ease, clarity of information and data is 80%, 57% apilkasi usefulness, 80% rated the overall application. Thus, the Capacity Planning and Control Of Time With Rough Cut Capacity Planning Method Information System At Maximem Printing use this app either.

scholarly journals Inconsistencies in the Production Process Resulting From the Employment Structure

2019 ◽  
Vol 2 (2) ◽  
pp. 205-213
Author(s):  
Krzysztof Nowacki ◽  
Szymon Pawlak
Keyword(s):  
Production Process ◽  
Production Scheduling ◽  
Production Capacity ◽  
Production Costs ◽  
Production Plant ◽  
Temporary Workers ◽  
Process Scheduling ◽  
Negative Effects ◽  
Steel Workers ◽  
Employment Structure

Abstract Underestimating the duration of the production process is one of the basic factors determining the occurrence of delays in the duration of individual operations included in the production process. Occurrence of underestimation of production time brings many negative effects, which include, among others: underestimation of the company’s production capacity, accumulation of intermediate stocks, impeded planning of the production process (scheduling of the production process) and increase of production costs. The problem of erroneous estimation of the duration of the production process is most often found in production plants specializing in serial or mass production, implemented in a parallel or series-parallel system. The basic causes that underestimate the duration of the production process include errors in production scheduling, incorrect determination of durations of individual operations carried out as part of the analyzed production process, complexity of production operations and employment structure. The occurrence of delays in the production process can also be affected by accident events that generate underestimation and costs for the enterprise (including social and economic costs). In many cases, many algorithms are used to reduce underestimation and optimization and scheduling of the entire production process. The publication presents an analysis of the production process in which the duration of the production process is underestimated, taking into account the employment structure in the manufacturing company. The analyzes allow to determine the level of underestimation of operations of the production process depending on the form of employment (steel workers – employed under a contract of employment in the production plant, and temporary workers employed by temporary work agencies), identification of the reasons for the underestimation of individual production positions and the length of their time occurrence.

scholarly journals Estimasi Permintaan Air Minum Dalam Kemasan Ayia Cup 240 Ml Pada PT. Gunung Naga Mas

2019 ◽  
Vol 2 (2) ◽  
pp. 67-73
Author(s):  
Riko Ervil ◽  
Mela Rosalina
Keyword(s):  
Drinking Water ◽  
Production Process ◽  
Consumer Demand ◽  
Linear Trend ◽  
Production Capacity ◽  
Market Demand ◽  
New Production ◽  
Industrial Activities

Consumer demand is very important in industrial activities at this time, because the new production process will run if there is demand from consumers. The problem that exists at PT Gunung Naga Mas is that the company produces goods without considering market demand, resulting in increased storage costs and also items that are long stored will be damaged. For this reason, it is necessary to forecast demand with linear trend methods, quadratic trends and exponential trends. From the purpose of the study it can be concluded that the most effective method for predicting demand for drinking water in 240 ml cup packaging at PT. Gunung Naga Mas is a linear trend method with MSE value of 544,291,863 and forecast demand for drinking water products in 240 ml cup packaging at PT Gunung Naga Mas in 2018 which is a total of 1,918,768 boxes. So the Company needs to adjust production capacity in 2018.

Research on Capacity Balancing Model in Iron & Steel Enterprise

2009 ◽  
Vol 16-19 ◽  
pp. 49-54 ◽  
Author(s):  
Xiao Bing Liu ◽  
Hong Liang Wang
Keyword(s):  
Production Process ◽  
Production Capacity ◽  
Mathematic Model ◽  
Production Operation ◽  
Production Schedule ◽  
Valid Method ◽  
Capacity Calculation ◽  
Multi Level ◽  
Level Production ◽  
Process Level

Considering Iron & Steel Enterprise production operation situation, a multi-level mathematic model of capacity balancing and corresponding capacity balancing algorithm was proposed. The application of capacity balancing was discoursed on through making production capacity balancing in the branch factory level; production process level and machine level. And buffer pools were established to provide the possibility of capacity adjustment between various levels. With this method the difficulty of capacity calculation is solved, and provide a valid method for rapid establishment of production schedule.

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