A Framework to Incorporate Decision-Maker Preferences Into Simulation Optimization to Support Collaborative Design

Author(s):  
Selcuk Goren ◽  
Ahlem Baccouche ◽  
Henri Pierreval
Author(s):  
Tomoyuki Miyashita ◽  
Hiroshi Yamakawa

Abstract Recent years, financial difficulties led engineers to look for not only the efficiency of the function of a product but also the cost of its development. In order to reduce the time for the development, engineers in each discipline have to develop and improve their objectives collaboratively. Sometimes, they have to cooperate with those who have no knowledge at all for their own disciplines. Collaborative designs have been studied to solve these kinds of the problems, but most of them need some sorts of negotiation among disciplines and assumes that these negotiations will be done successfully. However, in the most cases of real designs, manager of each discipline does not want to give up his or her own objectives to stress on the other objectives. In order to carry out these negotiations smoothly, we need some sort of evaluation criteria which will show efficiency of the product considering the designs by each division and if possible, considering the products of the competitive company, too. In this study, we use Data Envelopment Analysis (DEA) to calculate the efficiency of the design and showed every decision maker the directions of the development of the design. We will call here these kinds of systems as supervisor systems and implemented these systems in computer networks that every decision maker can use conveniently. Through simple numerical examples, we showed the effectiveness of the proposed method.


2019 ◽  
Vol 136 ◽  
pp. 01048
Author(s):  
Liu Yunlin ◽  
Zhang Shaojie ◽  
Wang Zijian ◽  
Qiu Ziwen ◽  
He Sheng

Compared with traditional cast-in-place concrete buildings, prefabricated buildings have many advantages and meet the strategic requirements of national sustainable economic development, which has become the development direction of the construction industry. BIM (Building Information Modeling) simulates the real Information of buildings through digital Information, which has the characteristics of visualization, coordination, simulation, optimization, drawing availability and so on, and improves the efficiency of multi-professional collaborative design of prefabricated buildings. This paper mainly studies the advantages of collaborative design of prefabricated buildings based on PKPM-BIM platform for architecture and structure majors. Research shows that the application of BIM can improve the efficiency and quality of multi-professional collaborative design of prefabricated buildings.


2012 ◽  
Author(s):  
Michael Schulte-Mecklenbeck ◽  
Thorsten Pachur ◽  
Ryan O. Murphy ◽  
Ralph Hertwig

Author(s):  
Camilo POTOCNJAK-OXMAN

Stir was a crowd-voted grants platform aimed at supporting creative youth in the early stages of an entrepreneurial journey. Developed through an in-depth, collaborative design process, between 2015 and 2018 it received close to two hundred projects and distributed over fifty grants to emerging creatives and became one of the most impactful programs aimed at increasing entrepreneurial activity in Canberra, Australia. The following case study will provide an overview of the methodology and process used by the design team in conceiving and developing this platform, highlighting how the community’s interests and competencies were embedded in the project itself. The case provides insights for people leading collaborative design processes, with specific emphasis on some of the characteristics on programs targeting creative youth


Author(s):  
Vivek Raich ◽  
Pankaj Maurya

in the time of the Information Technology, the big data store is going on. Due to which, Huge amounts of data are available for decision makers, and this has resulted in the progress of information technology and its wide growth in many areas of business, engineering, medical, and scientific studies. Big data means that the size which is bigger in size, but there are several types, which are not easy to handle, technology is required to handle it. Due to continuous increase in the data in this way, it is important to study and manage these datasets by adjusting the requirements so that the necessary information can be obtained.The aim of this paper is to analyze some of the analytic methods and tools. Which can be applied to large data. In addition, the application of Big Data has been analyzed, using the Decision Maker working on big data and using enlightened information for different applications.


Author(s):  
Mark Sarkisian ◽  
Mike Schlaich ◽  
Neville Mathias ◽  
Michael Stein ◽  
Powell Draper ◽  
...  
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