Planning Production and Equipment Qualification under High Process Flexibility

2021 ◽  
Author(s):  
Hongmin Li ◽  
Woonghee T. Huh ◽  
Matheus C. Sampaio ◽  
Naiping Keng
Keyword(s):  
Process Flexibility ◽  
Equipment Qualification ◽  
Planning Production

Modeling And Optimization Of The Construction Organization's Production Program

2020 ◽  
pp. 49-56
Keyword(s):  
Software Package ◽  
Target Function ◽  
Optimization Models ◽  
Labor Resource ◽  
Production Program ◽  
Construction Organizations ◽  
Source Data ◽  
Labor Resources ◽  
Construction Organization ◽  
Planning Production

In the article, the author considers the problems of complex algorithmization and systematization of approaches to optimizing the work plans of construction organizations (calendar plans) using various modern tools, including, for example, evolutionary algorithms for "conscious" enumeration of options for solving a target function from an array of possible constraints for a given nomenclature. Various typical schemes for modeling the processes of distribution of labor resources between objects of the production program are given, taking into account the array of source data. This data includes the possibility of using the material and technical supply base (delivery, storage, packaging) as a temporary container for placing the labor resource in case of released capacity, quantitative and qualification composition of the initial labor resource, the properties of the construction organization as a counterparty in the contract system with the customer of construction and installation works etc. A conceptual algorithm is formed that is the basis of the software package for operational harmonization of the production program ( work plans) in accordance with the loading of production units, the released capacities of labor resources and other conditions stipulated by the model. The application of the proposed algorithm is most convenient for a set of objects, which determines the relevance of its implementation in optimization models when planning production programs of building organizations that contain several objects distributed over a time scale.

Augmented Reality in der Produktion*/Augmented Reality in production systems – seeing things nobody else can see

2019 ◽  
Vol 109 (03) ◽  
pp. 153-157
Author(s):  
J. Gutjahr ◽  
G. Riexinger ◽  
F. Strieg
Keyword(s):  
Augmented Reality ◽  
Production Planning ◽  
Production Systems ◽  
Industrie 4.0 ◽  
Production Operation ◽  
Production Environment ◽  
Research Activities ◽  
Fraunhofer Institute ◽  
Manufacturing Engineering ◽  
Planning Production

Das Fraunhofer-Institut für Produktionstechnik und Automatisierung IPA in Stuttgart entwickelt Augmented-Reality-Lösungen für das Produktionsumfeld. Die in diesem Beitrag vorgestellten Arbeiten und Anwendungen sind im „Applikationszentrum Industrie 4.0“ Teil der Showcases Mensch und IT. Abteilungsübergreifend wurden verschiedene Anwendungsbereiche für Augmented Reality in der Produktion erforscht und anwendungsnahe Lösungen entwickelt. Ausgewählte Arbeiten werden im Beitrag getrennt nach den Themenbereichen Produktionsplanung, Produktionsbetrieb, Instandhaltung sowie Montage vorgestellt.   The Fraunhofer Institute for Manufacturing Engineering and Automation IPA in Stuttgart develops augmented reality solutions for the production environment. This article presents research activities and applications that are part of human and IT showcases within the “Application Center Industrie 4.0”. Different areas of application for Augmented Reality in production have been evaluated and application-driven solutions developed. The article presents selected findings in the fields of production planning, production operation, maintenance and assembly.

scholarly journals Toward Knowledge Management for Smart Manufacturing

2017 ◽  
Vol 17 (3) ◽  
Author(s):  
Shaw C. Feng ◽  
William Z. Bernstein ◽  
Thomas Hedberg ◽  
Allison Barnard Feeney
Keyword(s):  
Knowledge Management ◽  
Design Process ◽  
Process Planning ◽  
Smart Manufacturing ◽  
Specific Knowledge ◽  
Domain Specific ◽  
Domain Specific Knowledge ◽  
Knowledge Objects ◽  
Planning Production

The need for capturing knowledge in the digital form in design, process planning, production, and inspection has increasingly become an issue in manufacturing industries as the variety and complexity of product lifecycle applications increase. Both knowledge and data need to be well managed for quality assurance, lifecycle impact assessment, and design improvement. Some technical barriers exist today that inhibit industry from fully utilizing design, planning, processing, and inspection knowledge. The primary barrier is a lack of a well-accepted mechanism that enables users to integrate data and knowledge. This paper prescribes knowledge management to address a lack of mechanisms for integrating, sharing, and updating domain-specific knowledge in smart manufacturing (SM). Aspects of the knowledge constructs include conceptual design, detailed design, process planning, material property, production, and inspection. The main contribution of this paper is to provide a methodology on what knowledge manufacturing organizations access, update, and archive in the context of SM. The case study in this paper provides some example knowledge objects to enable SM.

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 EVALUASI SISTEM AKUNTANSI MANAJEMEN TERHADAP KELANCARAN PROSES PRODUKSI PADA PT. SEMEN BOSOWA

2020 ◽  
Vol 2 (1) ◽  
pp. 21-37
Author(s):  
Edi Jusriadi ◽  
Ario Ario
Keyword(s):  
Data Collection ◽  
Production Planning ◽  
Management Accounting ◽  
System Evaluation ◽  
Accounting System ◽  
Cement Production ◽  
And Performance ◽  
Descriptive Method ◽  
Planning Production ◽  
Management Accounting System

This study aims to determine how the influence of management accounting system evaluation on the smooth process of cement production at PT. Semen Bosowa Maros. This type of research used in this research is descriptive method. Data collection techniques using observation and interviews. The results showed that PT Semen Bosowa Maros had done this well because the Management Accounting System Evaluation was carried out systematically and structured starting from the time of production planning, production process control and performance coordination. and in the annual production of PT Semen Bosowa from 2014 to 2018 decreased as an adjustment to the level of cost realization which also increased in that year.

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