Narrowing the set of complex systems’ possible design solutions derived from the set-based concurrent engineering approach

Abstract

Nowadays, complex systems are dominating our contemporary as well as professional lives. These modern technical products are considered as mechatronic systems which incorporate mechanics with electronics, software, and control in various domains mainly transport, medicine, and robotics. The development of these modern technical products is thus so tough. Hence, mechatronics’ critical challenges are to be not only well understood but also supported by practical models and tools in order to overcome this difficulty. Moreover, using the traditional design method which is point based is inefficient as it leads to a huge decrease in the innovation potential through limiting the design space to few solutions, an important increase in the cost of the product as well as production delay due to the great number of iterations. Some product development practices have shifted from using the “fixed-point design” approach to the “set-based design” one. Indeed, the set-based concurrent engineering widely considers a set of possible solutions and then shrinks the number of possibilities in order to converge toward a final solution. Yet, since this approach is too difficult to be put into action, a small number of industries in the field of mechatronics use the set-based concurrent engineering concept. Accordingly, this work aims to develop a novel method for the purpose of facilitating the development of a complex product based on the set-based concurrent engineering method and its implementation in an industrial setting by developing an algorithm to find the set of possible solutions to the design problem and narrow this set to merge toward the final solution. Finally, this algorithm is implemented using “Python” language.

How to successfully introduce concurrent engineering into new product development?

“…The growing complexity of systems, unclear demands of customers and introduction of new technologies have brought about a development of set-based concurrent engineering (Al-Ashaab, 2013; Ammar et al, 2019; Kennedy et al, 2013; Khan et al, 2011; Raudberget, 2010). This principle encourages the development of several solutions at the same time and the gradual elimination of the weakest alternatives.…”

Model-based trade-off curves to support the set-based concurrent engineering of highly innovative projects

“…Point-Based Design (PBD) techniques find more adherence in the literature when compared to SBD (Oliveira et al, 2022a). Nevertheless, adopting PBD implies a large amount of rework and iterations for changes, increasing development risks (Ammar et al, 2019; Borchani et al, 2019; Inoue et al, 2013; Shahan and Seepersad, 2010). The lack of a consistent theoretical basis for SBCE (Toche et al, 2020) and its complexity do not favour changing this scenario since there is more than just a prescription of activities behind its success.…”

Set-Based Design Application on Dates Harvesting Machine

“…The farmers must pay close attention to fruit ripeness conditions throughout the dates harvest season in September of every year and begin harvesting at the appropriate stage. Currently, the entire harvest process is manual, which means every date on X Ishikawa and Sasaki, 2020 [13] X X Small et al, 2020 [14] X X Suwanda, Al-Ashaab and Beg, 2020 [15] X Ammar et al, 2019 [16] X X X Fitzgerald and Ross, 2019 [17] X X X Inoue and Suzuki, 2019 [18] X X Lopes and Zancul, 2019 [19] X Geoffroy et al, 2019 [20] X Schjøtt-Pedersen et al, 2019 [21] X Rempling et al, 2019 [22] X X Saad et al, 2019 [23] X X Wade et al, 2019 [24] X X Rapp et al, 2018 [25] X Riaz et al, 2017 [26] X X Landahl et al, 2016 [27] X X X Miranda De Souza and Borsato, 2016 [28] X Levandowski, Müller and Isaksson, 2016 [29] X Araci, Al-Ashaab and Maksimovic, 2016 [30] X X Al-Ashaab et al, 2016 [31] X X Raudberget, Michaelis and Johannesson, 2014 [32] X X X…”