scholarly journals 2 A new fuzzy de novo programming approach for optimal system design

2020 ◽  
pp. 13-32
Author(s):  
Nurullah UMARUSMAN ◽  
Turgut Hacıvelioğulları

Most instances like developing technology, scarce sources, and global warming have brought about an ongoing perspective with Sustainable SCM and Green SCM starting from Traditional SCM. Supplier selection in all these processes is a decision-making process playing a significant role in the success of enterprises. The most critical point in this decision-making process is the criteria used in the supplier selection process because they directly affect the selection of supplier that is appropriate for the strategy of the enterprise. In this chapter, the optimal quantity of products to be purchased from suppliers were determined through a solution offer that authors named as compromise optimal system design. For the recommended solution, first, a new model was introduced by arranging Multiobjective Supplier Selection problem based on the De Novo assumption, and then Compromise Programming was used for the solution of this model. The developed solution procedure was used to determine the amount of blending machine to be purchased from the green supplier of a milling machine manufacturer.


Author(s):  
Naglaa Ragaa Saeid Hassan ◽  

De novo programming (DNP) is a system design approach which links system flexibility efficient and optimal system design. It shows that within single or multi-objective decision making framework. DNP allows the decision maker to achieve an ideal or meta-optimal system performance, or improve the performance of compromise solutions through the modification of the feasible region of decision alternatives. This paper considers a brief review of DNP, which provides a brief insight DNP and its applications.


Author(s):  
Naglaa Ragaa Saeid Hassan ◽  

De novo programming (DNP) is a system design approach which links system flexibility efficient and optimal system design. It shows that within single or multi-objective decision making framework. DNP allows the decision maker to achieve an ideal or meta-optimal system performance, or improve the performance of compromise solutions through the modification of the feasible region of decision alternatives. This paper considers a brief review of DNP, which provides a brief insight DNP and its applications.


Author(s):  
Renata Majovská ◽  
Petr Fiala

The paper is dedicated to proposed modelling approach for supply networks. The original structure of network systems can be modelled as complex adaptive systems and use agent-oriented simulation to demonstrate origin. The structure is clarified by expert opinion with use of DEMATEL method. The suitability of supply networks can be measured by multiple objectives, such as economic, environmental, social, and others. Traditional concepts of optimality focus on valuation of already given systems. We propose to use a methodology for optimal system design. As a methodology of optimal system design can be employed De Novo Multi-objective Linear Programming for reshaping feasible sets in linear systems.


2010 ◽  
Vol 18 (1) ◽  
pp. 35-44 ◽  
Author(s):  
Alexander Hildebrandt ◽  
RÜdiger Neumann ◽  
Oliver Sawodny

Sign in / Sign up

Export Citation Format

Share Document