Karafan Journal

Karafan Journal

An Integrated Model to Evaluate the Design Concept Using the Analytic Hierarchy Process and TOPSIS Technique Based on Rough Numbers

Document Type : Original Article

Authors
1 Assistant Professor, Industrial Engineering Department, Bandar Abbas Branch, Islamic Azad University, Bandar Abbas, Iran.
2 Assistant Professor, Industrial Engineering Department, Kermanshah University of Technology, Kermanshah, Iran.
3 MSc. Student, Department of Industrial Engineering and Management Systems, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran.
Abstract
Evaluation of the design concept is known as one of the main phases in the development of product production because it determines the course of activities in the first stage of product design. However, usually at this stage the information is subjective and depends on the judgment of experts. How to control and manage these individual uncertainties is considered an important issue. Therefore, this research presents a systematic evaluation method based on integrating the analytic hierarchy process and the Technique of Order Preference by Similarity to Ideal Solution, which is known as the TOPSIS method, and in this article, rough numbers is used to evaluate the concept of design in a subjective environment. Rough numbers are used with the purpose of introducing the preferences and subjective judgments of people in the analytic hierarchy process. Then, an improved rough number is also provided by TOPSIS method to rank the options. To demonstrate the validity and effectiveness of the proposed method, this method is being implemented at the Unilever Cosmetics and Hygiene Company and designed to design the above-mentioned OMO concentrate washing powder to indicate that the proposed method can effectively increase the uncertainty in the assessment of the design concept under uncertainty conditions.
Keywords
Subjects

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Volume 20, Issue 1 - Serial Number 61
Technical & Engineering
Spring 2023
Pages 409-431

  • Receive Date 17 December 2022
  • Revise Date 14 April 2023
  • Accept Date 23 May 2023