A Fuzzy Approach Proposal in the Solution of Multi Objective De Novo Programming Problems and A Business Application

Nurullah Umarusman
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Nurullah Umarusman: Aksaray University

Business and Economics Research Journal, 2018, vol. 9, issue 4, 825-838

Abstract: Instead of optimizing a given system, De Novo Programming is a method based on Linear Programming and designs an optimal system in terms of budget constraints. The reorganized resource amounts are utilized at full capacity with De Novo design, which increases the fulfilment levels of goal functions. While classical optimization problems are modelled with precise data, more flexible results are acquired by defining parameters using fuzzy set theory. Flexibility in resource amounts enables especially medium term production planning. As the flexibility in resource amounts reverberates the budget, it is necessary to define the resource amounts to be used at full capacity. With a proposal of a new approach, this study investigates how the optimal production plan of a real business should be carried out based on Fuzzy Multiobjective Linear Programming. The most distinctive feature of the proposed method is that it does not use the concepts of positive and negative ideal solutions; instead, it utilizes the target function values acquired in regards to the upper and lower limits of the budget.

Keywords: Fuzzy Multiobjective Linear Programming; Fuzzy De Novo Programming; De Novo Programming; Optimal System Design (search for similar items in EconPapers)
JEL-codes: C61 M11 (search for similar items in EconPapers)
Date: 2018
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