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 Strategic Planning of Production Capacities in Textile Enterprises

2018 ◽  
Author(s):  
Bobir Tursunov
Keyword(s):  
Capacity Planning ◽  
Economies Of Scale ◽  
Production Capacity ◽  
Economic Resources ◽  
Advanced Technology ◽  
Target Market ◽  
Market Demand ◽  
Production Capacities ◽  
Breakeven Analysis ◽  
Planning Production

In the article the author studied the process of planning production capacities at textile enterprises. The author considers the production capacity as a reflection of the maximum possible release of the ready-to-sell products of the relevant nomenclature within the established timeframe while effectively using the production potential of the enterprise. This implies the full use of all economic resources based on the use of advanced technology, advanced forms and methods of organizing labor and production. An important task for enterprises in the use of production capacity is to plan production capacity. Since in the case of not matching the production capacity to the parameters of the market environment, the enterprise has the risk of losing its target market due to the expectation of manufacturing an order or the capture of a larger market share by competitors. Otherwise, excess capacity will cause problems in the formation of market demand, which will inevitably lead to loss of income due to excessive costs to maintain the production system in an optimal state, such as: inventory, depreciation, staff salaries. Founded that solving the problem of planning production capacity lays the foundation for ensuring rhythmicity. The concept of strategic capacity planning relies on achieving economies of scale and development curves, focusing the capacity and flexibility of production. At the end of the article has been visually presented the process of capacity planning and suggests the decision tree, balance models, breakeven analysis and sensitivity analysis as evaluation methods for solving the design problem of production capacity.

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 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.

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 Perencanaan dan Penentuan Jadwal Induk Produksi di PT. Arwina Triguna Sejahtera

2017 ◽  
Vol 1 ◽  
pp. 11
Author(s):  
Akhmad Sutoni ◽  
Muhammad Nasir Siddiq
Keyword(s):  
Capacity Planning ◽  
Production Capacity ◽  
Production Schedule ◽  
Master Schedule ◽  
Proportion Method ◽  
Master Production Schedule ◽  
The Cost ◽  
Production Plans ◽  
A Company ◽  
Planning Production

P.T. Arwina Triguna Sejahtera is a company engaged in the production of molding. Common issues in each company include P.T. Arwina Triguna Sejahtera, is experiencing constraints in planning the production amount according to production capacity. So planned to be created master production schedule so that the cost is not too high. Steps that are done is to start by doing data processing of the past by using demand aggregation, then do the forecasting in accordance with the characteristics of demand. Aggregate procurement planning is carried out for the next 1 (years) period using a permanent employment strategy. Then proceed at the disaggregation stage by using the proportion method, calculating the Master Production Schedule to find out how much quantity of product to produce, and when to start the production. Finally perform the calculation of Rought Cut Capacity Planning to know the balance between the available capacity and the required capacity. Production master schedule obtained, production will be smooth and able to meet the actual demand of 20,000 pcs by adding overtime hours and produce end items as much as 2.368 pcs for deabetamil scoop products, while for featherlock brown plastic products actual demand can be fulfilled. The feasibility of the master production schedule is calculated based on the suitability between Regular Man Hour on production plans, with the amount of time available in the calculated capacity capacity of 17,1360 hours to meet the demand for this year. Keywords—  Production Controlling and Planning; Master Production Schedule; Agregate Production Planning; Rought Cut Capacity Planning;  Production System.

scholarly journals Telomere Length in Norway Spruce during Somatic Embryogenesis and Cryopreservation

Plants ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 416
Author(s):  
Tuija Aronen ◽  
Susanna Virta ◽  
Saila Varis
Keyword(s):  
Somatic Embryogenesis ◽  
Telomere Length ◽  
Norway Spruce ◽  
Genotypic Variation ◽  
Production Capacity ◽  
Stress Factors ◽  
Embryo Production ◽  
One Year ◽  
Plant Telomeres

Telomeres i.e., termini of the eukaryotic chromosomes protect chromosomes during DNA replication. Shortening of telomeres, either due to stress or ageing is related to replicative cellular senescence. There is little information on the effect of biotechnological methods, such as tissue culture via somatic embryogenesis (SE) or cryopreservation on plant telomeres, even if these techniques are widely applied. The aim of the present study was to examine telomeres of Norway spruce (Picea abies (L.) Karst.) during SE initiation, proliferation, embryo maturation, and cryopreservation to reveal potential ageing or stress-related effects that could explain variation observed at SE process. Altogether, 33 genotypes from 25 families were studied. SE initiation containing several stress factors cause telomere shortening in Norway spruce. Following initiation, the telomere length of the embryogenic tissues (ETs) and embryos produced remains unchanged up to one year of culture, with remarkable genotypic variation. Being prolonged in vitro culture can, however, shorten the telomeres and should be avoided. This is achieved by successful cryopreservation treatment preserving telomere length. Somatic embryo production capacity of the ETs was observed to vary a lot not only among the genotypes, but also from one timepoint to another. No connection between embryo production and telomere length was found, so this variation remains unexplained.

Formal Manufacturing Approaches to Modern Shipbuilding

1989 ◽  
Vol 5 (03) ◽  
pp. 188-199
Author(s):  
Paul C. Powell ◽  
Charles I. Zigelman
Keyword(s):  
Inventory Control ◽  
Capacity Planning ◽  
Production Control ◽  
Production Capacity ◽  
Design Development ◽  
Manufacturing Environment ◽  
Control Society ◽  
Control Production ◽  
Production And Inventory Control

This paper describes how a formal manufacturing environment, as defined by the American Production and Inventory Control Society (APICS), compares with modern shipbuilding techniques. Formal manufacturing, through a product-based build strategy, provides a framework for integrating contract scheduling, design development, material purchasing, inventory control, production capacity planning, and production control. An understanding of formal manufacturing provides a foundation for understanding modern shipbuilding techniques.

scholarly journals OPTIMISASI KINERJA MESIN PENGOLAHAN TANDAN BUAH SEGAR MENGGUNAKAN METODE RCCP (STUDI KASUS PT. KARYA TANAH SUBUR)

2018 ◽  
Vol 3 (4) ◽  
Author(s):  
Abdul Malik Ali ◽  
Arie Saputra ◽  
Junianto Putra
Keyword(s):  
Capacity Planning ◽  
Production Capacity ◽  
Formal System ◽  
Screw Press ◽  
Palm Fruit ◽  
Standard Time ◽  
Planning And Control ◽  
Average Production ◽  
Oil Purification ◽  
Time Required

Successful planning and production controls require active capacity planning, in order to be able to meet the established master production schedules. Lack of capacity will lead to production failures, delays in delivery to customers, and loss of confidence in the formal system resulting in a decreased corporate reputation. Overcapacity will result in low resource utilities, increased costs, product prices become competitive, decreased profits. Standard time is a measure of completion of a production process for one unit of product with justified clearance. The standard time required to process 40 Ton bunches of palm fruit sterilizer is 94.70 minute/unit, for thresher machine 73,31 minutes/unit, for screw press machine 96,48 Minutes / unit, and oil purification machine 147,13 minute/unit. Efficiency is the ability of the machine to produce a product. The efficiency of sterilizer machine is 88.00%, for thresher machine is 88.00%, for screw press machine is 88.80%, and oil purification machine is 74.00%. Machine utility is the percentage of machine usage in units of time. The sterilizer machine utility is 81,33%, for thresher machine is 87,35%, for screw press machine is 86,88%, and oil purification machine is 83,18%. Capacity is the rate of output per unit time indicating that the facility theoretically has the ability to produce it. The sterilizer machine capacity is 81.33 ton/hour, for thresher bumper machine is 45,08 ton/hour, for screw press machine is 119,09 ton/hour, and oil purification machine is 79,49 ton/hour. The average production capacity of machine taken for two years is 27.61 ton/hour with machine capacity optimization level of 51,88 ton/hour.Keywords : Production Planning and Control, Standard Time, Capacity (RCCP).

scholarly journals Using ontology merging for the integration of information systems and the production capacity planning system

2019 ◽  
pp. 401-408
Author(s):  
N Yarushkina ◽  
A Romanov ◽  
A Filippov ◽  
A Dolganovskaya ◽  
M Grigoricheva
Keyword(s):  
Information System ◽  
Information Systems ◽  
Relational Database ◽  
Data Model ◽  
Capacity Planning ◽  
Production Capacity ◽  
Semantic Integration ◽  
Data Sources ◽  
Planning System ◽  
Ontology Merging

This article describes the method of integrating information systems of an aircraft factory with the production capacity planning system based on the ontology merging. The ontological representation is formed for each relational database (RDB) of integrated information systems. The ontological representation is formed in the process of analyzing the structure of the relational database of the information system (IS). Based on the ontological representations merging the integrating data model is formed. The integrating data model is a mechanism for semantic integration of data sources.

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