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.

Production capacity planning and control in multi-stage manufacturing

1998 ◽  
Vol 49 (6) ◽  
pp. 625-634
Author(s):  
A Gunasekaran ◽  
S K Goyal ◽  
T Martikainen ◽  
P Yli-Olli
Keyword(s):  
Capacity Planning ◽  
Production Capacity ◽  
Planning And Control ◽  
Multi Stage ◽  
And Control

Production capacity planning and control in multi-stage manufacturing

1998 ◽  
Vol 49 (6) ◽  
pp. 625-634 ◽  
Author(s):  
A Gunasekaran ◽  
S K Goyal ◽  
T Martikainen ◽  
P Yli-Olli
Keyword(s):  
Capacity Planning ◽  
Production Capacity ◽  
Planning And Control ◽  
Multi Stage ◽  
And Control

Production Capacity Planning and Control in Multi-Stage Manufacturing

1998 ◽  
Vol 49 (6) ◽  
pp. 625
Author(s):  
A. Gunasekaran ◽  
S. K. Goyal ◽  
T. Martikainen ◽  
P. Yli-Olli
Keyword(s):  
Capacity Planning ◽  
Production Capacity ◽  
Planning And Control ◽  
Multi Stage ◽  
And Control

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 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 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).

Fusion of Fuzzy Multi-Criteria Decision Making Approaches for Discriminating Risk with Relate to Software Project Performance

2021 ◽  
pp. 346-373
Author(s):  
Arun Kumar Sangaiah ◽  
Vipul Jain
Keyword(s):  
Decision Making ◽  
Project Performance ◽  
Software Project ◽  
Multi Criteria Decision Making ◽  
Assessment Framework ◽  
Planning And Control ◽  
Project Complexity ◽  
Software Project Performance ◽  
And Performance ◽  
And Control

The prediction and estimation software risks ahead have been key predictor for evaluating project performance. Discriminating risk is vital in software project management phase, where risk and performance has been closely inter-related to each other. This chapter aims at hybridization of fuzzy multi-criteria decision making approaches for building an assessment framework that can be used to evaluate risk in the context of software project performance in following dimensions: 1) user, 2) requirements, 3) project complexity, 4) planning and control, 5) team, and 6) organizational environment. For measuring the risk for effectiveness of project performance, we have integrated Fuzzy Multi-Criteria Decision Making (FMCDM) and Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) approaches. Moreover the fusion of FMCDM and TOPSIS has not been adequately investigated in the exiting studies.

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