scholarly journals A Process-Based Modeling Method for Describing Production Processes of Ship Block Assembly Planning

Processes ◽  
2020 ◽  
Vol 8 (7) ◽  
pp. 880
Author(s):  
Dongsu Jeong ◽  
Dohyun Kim ◽  
Taihun Choi ◽  
Yoonho Seo

Ship block assembly planning is very complex due to the various activities and characteristics of ship production. Therefore, competitiveness in the shipbuilding industry depends on how well a company operates its ship block assembly plan. Many shipbuilders are implementing various studies to improve their competitiveness in ship block assembly planning, specifically regarding technology usage, such as modeling and simulation (M&S) and Cyber-Physical Systems (CPS). Although these technologies are successfully applied in some production planning systems, it is difficult to tailor ship production planning systems with flexibility due to unexpected situations. Providing a flexible plan for these production planning systems requires a way to describe and review the organic relationships of ship production processes. In this research, a process-based modeling (PBM) method proposes a novel approach to describing the production process of ship block assembly planning by redefining production information based on changing instructions. The proposed method consists of four modeling steps. The first creates a unit model, which includes the products, processes, and resource information for the block. The second designs an integrated network process for linking unit models according to the bill of materials (BOM). The third creates a process-based model that describes the production processes by combining unit models. The fourth generates a simulation model by applying a Petri-net to the process-based model, which analyzes the productivity of the ship’s block assembly processes. PBM identifies the assembly process’ interrelationship and shows that productivity can be reviewed to uncover ship production problems.

Procedia CIRP ◽  
2016 ◽  
Vol 40 ◽  
pp. 244-249 ◽  
Author(s):  
Fabian Keller ◽  
Gunther Reinhart

Author(s):  
Christian Buescher ◽  
Marcel Mayer ◽  
Daniel Schilberg ◽  
Sabina Jeschke

2018 ◽  
Vol 11 (2) ◽  
pp. 222 ◽  
Author(s):  
José Luis Ruano Pérez ◽  
Raúl Rodríguez-Rodríguez ◽  
Juan-José Alfaro Saiz ◽  
María-José Verdecho

Purpose: The main objective of this research is to design a decision-making network, based on the Analytic Network Process (ANP) technique (Saaty, 1996), which will include the main elements to take into account when stating the effect that the application of LP techniques has got on the performance of an organisation, measured this through a Performance Measurement System (PMS).Design/methodology/approach: The authors have carried out a scientific literature search to state what the main LP techniques are –and how to group them into different clusters- and have then applied the ANP, its first phase, in order to design the decisional network.Findings: There is a gap in the literature when trying to identify and quantify to what extent the implementation of LP techniques affects to organisational performance. The ANP is an appropriate technique to do so due to the need of gathering and quantifying experts’ opinions.Originality/value: The designed ANP-based network to measure the impact of LP over organisational performance is a novel approach. This paper justifies its usage and paves the way to implement the rest of the ANP phases in future research work. 


Author(s):  
Nima Rafibakhsh ◽  
Matthew I. Campbell

Assembly Sequence planning is a tedious but crucial task in manufacturing a product. A good assembly plan will lead to minimum wasted time and maximum capacity of resources. Typically, research in Automated Assembly Planning and Assembly Sequence Planning (AAP and ASP) only define the sequence that the parts should be assembled with no information for specifying additional details to make the plan complete and optimal. In this paper we introduce a post-processing step (after the sequence of parts has been found) with focus on optimal part orientation and worker allocation. The paper has two main sections: the first section uses Dijkstra’s algorithm to obtain part orientation with minimum assembly cost. For the second part of the paper, a novel approach is proposed based on a line balancing technique to find the minimum number of workers needed to achieve the minimum make-span time. These necessary details in AAP give real time feedback to designers to analyze their design with production and assembly line information.


Sign in / Sign up

Export Citation Format

Share Document