Dynamic platform modeling for concurrent product-production reconfiguration

Abstract

To meet a wide range of customer needs, a variety of product concepts can be modeled employing a platform approach. Whereas frequent market changes can be accommodated by dynamically modifying product concepts in iterations, capabilities in production are seldom well incorporated as part of design iterations. In this paper, a dynamic platform modeling approach that supports concurrent product-production reconfiguration is presented. The approach builds on Set-Based Concurrent Engineering (SBCE) processes and a function modeling technique is used to represent product-production variety streams inherent in a production operation model. To demonstrate the approach, a comprehensive case from the aerospace industry is presented. Conceptual representations of a set of aero engine sub-systems and a variety of welding configurations, including their inherent constraints, are mutually modeled and assessed. The results show that a set of product-production alternatives can be dynamically controlled by integrating product-production constraints using a production operation model. Following SBCE processes, inferior alternatives can be put aside until new information becomes available and a new set of alternatives can be reconfigured. The dynamics and concurrency of the approach can potentially reduce the risk of late and costly modifications that propagate from design to production.

Function Driven Assessment of Manufacturing Risks in Concept Generation Stages

“…However, a review of the literature does not reveal any work where CPM is used to assess the combined risk of a product and a manufacturing system architecture. The simultaneous modelling of product-manufacturing systems has been applied to the functional domain instead, for example using EF-M (Landahl et al, 2021). However, in such cases, the assessment is not dynamic using a top-down approach enabled for example by CPM.…”

Efficient sensitivity orient blockchain encryption for improved data security in cloud

“…In Hajizadeh and Navimipour, 20 Lv, 21 Mayuranathan et al, 22 and Medhane et al, 23 presents a behavior analysis graph model with blockchain for the evaluation of trust over the service providers of a cloud environment. Similarly, in Singh et al, 24 Bin Abd Rahman et al, 25 and Landahl et al, 26 a multivariate correlation analysis scheme was presented to ensure the security of data in the cloud with a blockchain which analyses the network traffic.…”

Adapting discrete goods supply chains to support mass customisation of pharmaceutical products

“…Concurrent activities have regularly been adopted to improve performance. Landahl et al (2020) proposed an approach to concurrency in product design tasks by integrating dynamic product and production modelling to eliminate the risk of late and costly product design changes propagating to production in sequential product development. Hence, the customisation of products for product improvement, increasing the final complexity of the overall product portfolio, is crucial to connect to the operational aspects that are affected from this change on phases beyond the product design domain.…”

“…When conducting product improvement tasks, however, it is important to consider an integrated approach to product customisation as well as feasible production and provision (Prasad, 2016). Sequential product development runs a risk of late and costly changes propagating from product design (Landahl et al, 2020). A few notable publications discuss production system design to manage the growing complexity of the product portfolio as a consequence of product customisation (i.e.…”

“…These studies have rather considered a refined mass production paradigm still considering a one-size-fits-all product design and disregarding a wider supply chain perspective and product provision. Product improvement tasks require concurrent design to eliminate risks of late and costly changes propagating from product design to respective domains (Landahl et al, 2020; Prasad, 2016), thus, a mass customisation paradigm for pharmaceutical products requires integrated approaches to patient-centric product design, production system design and feasible product provision.…”