Use of Standard Task Blocks to Simplify the Ship Production Process

1986 ◽  
Vol 2 (02) ◽  
pp. 101-109
Author(s):  
Michael Wade

A system of production planning with a built-in capability to monitor performance at all levels of the shipbuilding process is the focus of this paper. The heart of this system—the standardized task block—incorporates individual and comprehensive work packages from fabrication through project completion. The logic, procedure, and economy of the method are discussed with particular emphasis on the modular/zone concept of ship construction, which provides the basis for establishing the task block matrices.

2018 ◽  
Vol 20 (1) ◽  
pp. 40-47
Author(s):  
Abdul Rahim Matondang ◽  
Widodo Widodo

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.


1997 ◽  
Vol 10 (3) ◽  
pp. 193-203 ◽  
Author(s):  
Tommi Johtela ◽  
Jouni Smed ◽  
Mika Johnsson ◽  
Risto Lehtinen ◽  
Olli Nevalainen

Author(s):  
Tullio Tolio ◽  
Marcello Urgo ◽  
Arianna Alfieri

Production planning in Manufacturing-to-Order environments producing complex items must manage the execution of fabrication and/or assembling activities. In case of activities executed by workers, the committed effort can vary over time. To model this behavior, the Variable Intensity formulation has been proposed in the literature. In addition, the activities to be scheduled often represent whole production phases made of distinct production operations. Hence, the utilization of simple finish-to-start precedence relations does not correctly represent the real production process. In such cases Generalized Precedence Relations are used to allow overlapping among activities. However, since in Variable Intensity formulations the percentage execution of the activities is no more univocally related to their time execution, Generalized Precedence Relations cannot completely describe the constraints among activities. In this paper two mathematical formulations of precedence relations based on processing execution are presented to model overlapping between activities. The formulations are applied to an industrial case of production of machining centers and compared in terms of computational efficiency.


2017 ◽  
Vol 107 (03) ◽  
pp. 143-147
Author(s):  
C. Berger ◽  
J. Pielmeier ◽  
G. Prof. Reinhart

Unternehmen müssen Entscheidungen in der Produktionsplanung und -steuerung (PPS) häufig anhand unzureichender und veralteter Informationen treffen. Stets sollte eine aktuelle und transparente Sicht auf die relevanten Produktionsprozesse und Kennzahlen durch aktuelle Informationen möglich sein. Eine ereignisbasierte PPS erlaubt es, flexibel und schnell auf Veränderungen im Produktionsprozess zu reagieren. Der Fachbeitrag erläutert die Modellierung von Ereignissen sowie den Aufbau von ereignisbasierten Systemen und mögliche Anwendungsfelder einer ereignisbasierten PPS.   Decisions in production planning and control are often based on inadequate and obsolete data. A transparent view on the relevant production processes and key figures should be enabled. Event-based production planning and control allows responding more flexibly and quickly to changes during the production process. The present article explains the modelling of events and the structure of event-based systems and presents possible application fields for an event-based production planning and control.


2013 ◽  
Vol 655-657 ◽  
pp. 1682-1686
Author(s):  
Jun Ni ◽  
Wen Cheng Tang ◽  
Yan Xing

This paper focuses on major issues in production process control of automobile injection molds based on process perception, such as manufacture resource perception, exchange in three-dimensional model (3D), production planning and scheduling, manufacture process planning (tool path and assembly sequence). After a survey of them, we propose a method for the construction of computer-aided production process control platform. 1) Define the networked manufacture semantic/data model and an encapsulating approach to efficiently manipulate manufacturing resources. 2) Develop structural multi-view data models for the design information of automobile molds transferring in 3D. 3) Propose a production planning and scheduling arithmetic. 4) Develop a variation accumulation model for manufacturing process control. 5) Integrate the tool path and assembly sequence planning of injection molds by using a variation accumulation model. 6) Integrate the existing and/or developed models to the new system. Finally we introduce a validation method and discuss the prospect to the accurate control of production process.


2014 ◽  
Vol 915-916 ◽  
pp. 1464-1470
Author(s):  
Peng Cheng Wu ◽  
Wei Zhang ◽  
Yong Zhang ◽  
Dong Jun Zhou

Through the demand analysis of the business collaborative activities of auto parts enterprises, we establish the Intelligent Collaborative System. After the research on interaction process of collaborative quotation among auto parts enterprises, we build the product data model that supports multi enterprises’ collaborative response to customer requirements; according to the research of collaborative production planning principle, we propose the framework of auto parts enterprises’ building collaborative production planning; Based on the study of the hierarchical model of collaborative control of production process among multi enterprises, we discuss the framework of collaborative production process controlling among multi enterprises. The research indicates this system can meet the collaborative business demand of auto parts industry by using ASP mode and intelligent technology, also realize the intelligence.


2020 ◽  
Vol 12 (24) ◽  
pp. 10269
Author(s):  
Sunghoon Nam ◽  
Jongsik Yoon ◽  
Kyungrai Kim ◽  
Byungjoo Choi

In modular construction—a type of industrialized construction—production planning is very important, as it is closely related to the project’s duration, quality, and sustainability. The constraints (production area, delivery due date) often differ for each project, yet production planning in modular construction has failed to change with the project characteristics. As a result, bottlenecks and construction delays are common problems seen in modular construction, which, in turn, decreases the production ratio, causing the production to be inefficient. To this end, this paper applied a prefabricated component in the modular production process. The paper developed a process analysis model considering constraint factors (production period, production area) to derive the optimal configuration of the prefabricated components in various alternatives. The developed analysis model was then applied to a virtual case to analyze the productivity improvement and select the optimal process. The optimal production process was derived by simulating the possible production planning within a limited production area and production timeline. The result of a simulation indicates that the production period has been halved by optimizing the process. Furthermore, by applying prefabricated components, the production efficiency was further increased because the existing linear production process’s bottleneck disappeared. The model is deemed to have the potential to optimize various production methods across production facilities or modular factories that simultaneously perform multiple projects.


2020 ◽  
Vol 4 (2) ◽  
pp. 66
Author(s):  
Firmansyah Firmansyah ◽  
Dedy Juliandri Panjaitan ◽  
Madyunus Salayan ◽  
Alistraja Dison Silalahi

One of the problems in the company is my resource limitation, the time of production and the tools used in the production process. Companies in making decisions in production planning in the presence of these limitations, should seek to maximize the profit generated. However, in the production process a production planning reference is required to maximize the results obtained and minimize the production costs used. To solve the problem, needed a problem solving tool that is linear program using simplex method. Simplex method is one of the methods of linear program in solving the problem of more than two variables that can be applied into everyday life and can be used in production process planning. With one of the ultimate goal is the achievement of the optimum value with the constraints of limited resources. The results of the simplex method have decreased costs incurred less than the usual costs incurred every month and the results obtained using the simplex method can be used as a reference in making decisions to get optimal results on production costs in the company.


2020 ◽  
Vol 110 (10) ◽  
pp. 661-665
Author(s):  
Berend Denkena ◽  
Sebastian Stobrawa ◽  
Markus Sommer ◽  
Josip Stjepandic ◽  
Moritz von Soden

Die Produktionsplanung ist ein zentraler Bestandteil des Produktionsmanagements industrieller Unternehmen. Hieraus resultiert die Wettbewerbsfähigkeit des Wertschöpfungsprozesses, weshalb die Planung so umfassend, präzise und effizient wie möglich sein sollte. Ein hilfreiches Werkzeug ist der digitale Zwilling, der jedoch selten eingesetzt wird. Dieser Beitrag stellt einen Ansatz für die Produktionsplanung durch ein effizientes Erstellen eines digitalen Zwillings vor.   Production planning is a key factor in the production management of manufacturing companies. It determines the competitiveness of the production process, which is why planning should be as comprehensive, precise and efficient as possible. A helpful tool is the digital twin, but it is rarely used. This paper presents an approach for production planning by efficiently creating a digital twin.


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