Browsing by Author "Rouyendegh (Babek Erdebilli), Babak Daneshvar"

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Citation - WoS: 19
Citation - Scopus: 21
A Hybrid Approach for Selecting Material Handling Equipment in a Warehouse
(Taylor & Francis Ltd, 2016) Saputro, Thomy Eko; Rouyendegh (Babek Erdebilli), Babak Daneshvar; Industrial Engineering
Warehouse operations are closely related to material handling activities. Loading, unloading, transporting and picking material constitute a huge part of the activities. In order to handle material properly as well as to contribute value to the material, the operator and the environment, utilizing Material Handling Equipment (MHE) is required. The selection of proper MHEs requires great focus since its consideration is linked to mutli-criteria and multi-objective decision making problems. Here, a hybrid method is proposed to address the MHE selection problem. An approach that integrates the entropy based hierarchical fuzzy Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) and Multi-Objective Mixed Integer Linear Programming (MOMILP) is used for seeking the best alternative. The evaluation of alternatives is performed based on both subjective and objective criteria. Subjective weights are derived from a fuzzy Analytic Hierarchy Process (AHP). To deal with objective criteria, the entropy method is adopted to determine the weights, and the integrated weights are also calculated. The alternatives are rated by using fuzzy TOPSIS. For final execution of the selection, an MOMILP model is developed incorporating two goals, namely to minimize the disadvantage of material handling operation and to minimize the total cost of material handling. The AUGMented E-CONtraint method (AUGMECON) is used to solve the model. A case study is given to illustrate the method. The results show the effectiveness of the hybrid method in complex decision making.
Citation - WoS: 1
Citation - Scopus: 1
Increasing Creativity With Unusual Designs
(Elsevier Science Bv, 2012) Ergin, Merve Hande; Rouyendegh (Babek Erdebilli), Babak Daneshvar; Industrial Engineering
Creativity is important in synthesizing new ideas. For the engineering students, there are different methods to increase the level of creativity. Also, the unusual designs stimulate the students' creativity helping them to think innovatively. The assessment tool CEDA (Creative Engineering Design Assessment) is applied with minor modifications (CEDA-modified) to measure creativity in IE 101 Introduction to Engineering course. The CEDA score is modified by using AHP method to decrease the subjectivity of the assessment criteria. The study is applied to 49 industrial engineering students as an exam question. The question asked requires developing five advantages to an unusual design given. Male students developed more ideas compared to female students when they face with unusual design. More designs may be required to discuss through out the term and a proper term project that requires more design may be submitted to increase the success level.
Citation - WoS: 60
Citation - Scopus: 66
The Intuitionistic Fuzzy Electre Model
(Taylor & Francis Ltd, 2018) Rouyendegh (Babek Erdebilli), Babak Daneshvar; Industrial Engineering
The purpose of this research is to postulate and define a new model for Multi-Criteria DecisionMaking (MCDM) problems utilizing the Intuitionistic Fuzzy ELimination Et Choix Traduisant la REalite (IFELECTRE) method, otherwise identified as the Intuitionistic Fuzzy Index of Hesitation Degree method. The Intuitionistic Fuzzy Sets (IFS) method offers certain advantages in using vagueness over a Fuzzy Set (FS): the IFELECTRE method is used to handle more complicated problems, whereas the Decision-Makers (DMs) have some vagueness in assigning option values to the objects considered. The processes of evaluating qualitative and quantitative scales are combined in this work and the proposed model enables different DMs to assess and use IFS. The original ELECTRE method cannot be operated effectively owing to a lack of precise information under different conditions.
Citation - WoS: 18
Citation - Scopus: 23
A Literature Review on Mhe Selection Problem: Levels, Contexts, and Approaches
(Taylor & Francis Ltd, 2015) Saputro, Thomy Eko; Masudin, Ilyas; Rouyendegh (Babek Erdebilli), Babak Daneshvar; Industrial Engineering
This paper presents a review on selection problem of material handling equipment (MHE) and general equipment used in industry area. The issue on MHE is widely paid attention since MHE has contribution on material, good and product accomplishment. Few methods and softwares have been proposed and developed to select the most appropriate MHE for a complex selection problem. Today's high diverisity of MHE categories and types influence the generation of many possible choices which leads to the complexity. In this paper, a further discussion in terms of MHE and equipment including three major points namely level of selection, the context of selection problem and the approaches are served to highlight the complex MHE selection according to the number of possible choices provided, to analyse the consideration for the problem context, and to reveal the superior method for complex MHE selection. Forty-two papers collected from the past study are presented asscociating each point of the discussion.
Citation - WoS: 68
Supplier Selection Using Integrated Fuzzy Topsis and Mcgp: a Case Study
(Elsevier Science Bv, 2014) Rouyendegh (Babek Erdebilli), Babak Daneshvar; Saputro, Thomy Eko; Industrial Engineering
This study provides an overview of the fuzzy TOPSIS and Multi-Choice Goal Programming (MCGP) methods for Multi-Criteria Decision-Making (MCDM) problem under uncertain environments. Supplier selection is mostly a complex multi-criteria problem which consists of qualitative and quantitative criteria. Those criteria should be considered advertently as a final decision in comprehensive and objective supplier selection as well. This study deal with the optimum decision making for selecting supplier and allocating order by applying the proposed method of integrated fuzzy TOPSIS and MCGP (Multi-Choice Goal Programming). To deal with the uncertain and imprecise judgment of decision makers, a Fuzzy TOPSIS is utilized to express it by triangular fuzzy numbers. The final supplier selection and order allocation are obtained by integrating the closeness coefficients to the MCGP model. A numerical example is given to clarify the main results developed in this paper. (C) 2013 The Authors. Published by Elsevier Ltd.