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All Journal Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Indonesian Journal of Electrical Engineering and Computer Science
Ade Febransyah
Workgroup For Innovation In Decision Making (WIDE) - Prasetiya Mulya Business School
Industrial & Manufacturing Engineering

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A FUZZY-BASED DECISION MAKING APPROACH FOR PRODUCT CONCEPT SELECTION Ade Febransyah; J. Bely Utarja
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 6 No. 1 (2004): JUNE 2004
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (57.155 KB) | DOI: 10.9744/jti.6.1.25-36

Abstract

Selecting the best product concept is one of critical tasks in product development process. Making decisions at this stage becomes very difficult due to imprecise and uncertain product requirements. This paper presents the framework of product concept selection that integrates the fuzzy set theory and the analytic hierarchy process (AHP). In the proposed approach, the fuzzy membership function is employed in performing "pairwise comparison" between competing alternatives and a "reference" on each of the criteria. The use of a reference is due to the difficulty in consistently comparing concepts to one another. The comparisons are also used to obtain the relative importance of criteria with respect to the overall objective. Once pairwise comparisons are completed, vector aggregates are computed through the use of an original AHP method and fuzzy arithmetic operations. A numerical example is presented to illustrate the approach.
THE APPLICATION OF FEATURE TECHNOLOGY IN DEVELOPING A CAD-BASED HIGH LEVEL PROCESS PLANNING SYSTEM Ade Febransyah
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 7 No. 1 (2005): JUNE 2005
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (271.872 KB) | DOI: 10.9744/jti.7.1.1-12

Abstract

High-level process planning plays an important role in determining candidate process domains at the configuration design stage. Changing the process domains later increases the product development cycle and the product development cost. Therefore, determining the most appropriate manufacturing processes at the beginning stages of the design process becomes critical. However, high-level process planning systems have traditionally lacked integration of design synthesis and design evaluation. The objective of this paper is to propose a CAD-based high-level process planning system that will help designers decide whether or not the designs are worth pursuing. A hybrid approach incorporating design by feature and feature recognition approaches is proposed and implemented. Synergizing both advantages of both approaches will reduce the complexity of feature recognition algorithm without sacrificing the flexibility in creating a part model.
MENGUKUR KESUKSESAN PRODUK PADA TAHAP DESAIN: SEBUAH PENDEKATAN FUZZY-MCDM Ade Febransyah
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 8 No. 2 (2006): DECEMBER 2006
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (79.93 KB) | DOI: 10.9744/jti.8.2.122-130

Abstract

It has always been a great challenge to any product development team to forecast the success of a new product at the design stage. For any product concept, it is of interest to assign an accurate probability to any event or state of the world that reflects the new product success. This probability is then required in decision tree analysis for selecting the best product concept. In practice, the probability is determined solely on intuition or subjective judgment due to impreciseness, lack of information during the design stage, and the cognitive limitation of decision makers. This paper presents an approach integrating fuzzy set theory and multi criteria decision making (MCDM) approach in forecasting accurately the success of a new product. The analytic hierarchy process (AHP) is used due to its simplicity as a prescriptive approach that will help decision makers select the best decision with respect to a set of criteria. Fuzzy numbers are used to describe any judgment on design criteria and the event probability of a product concept. A numerical example is given to illustrate the use of this approach. Abstract in Bahasa Indonesia : Selalu menjadi tantangan besar bagi setiap tim pengembang produk untuk dapat mengestimasi tingkat kesuksesan suatu produk baru pada tahap desain. Tingkat kesuksesan yang dinyatakan dengan besar probabilitas berbagai state of the world dari suatu konsep produk selanjutnya digunakan dalam analisa keputusan untuk memilih konsep produk terlayak. Selama ini besar probabilitas ditentukan lebih banyak berdasarkan intuisi dan subyektifitas pengambil keputusan. Praktik ini cenderung menghasilkan keputusan yang bias mengingat keterbatasan kapabilitas kognitif manusia dalam mensintesa berbagai keunggulan maupun kekurangan dari sekumpulan konsep produk. Tulisan ini bertujuan untuk menyampaikan satu pendekatan yang mengintegrasikan logika fuzzy dan pendekatan pengambilan keputusan berkriteria jamak (multi criteria decision making /MCDM) dalam menentukan tingkat kesuksesan suatu konsep produk yang lebih akurat. MCDM digunakan karena pada dasarnya problem pemilihan konsep produk terbaik selalu mempertimbangkan sekumpulan kriteria. Pendekatan analitic hierarchy process (AHP) dipilih karena pendekatan ini menawarkan perspektif preskriptif yang akan menuntun pengambil keputusan untuk melakukan apa yang sebaiknya dan dapat dilakukan dalam membuat keputusan. Bilangan fuzzy digunakan untuk merepresentasikan penilaian terhadap berbagai kriteria dan besar kemungkinan dari berbagai tingkat kesuksesan suatu produk. Dengan menggunakan pendekatan Fuzzy - MCDM, tingkat kesuksesan dari suatu konsep produk akan diperoleh dengan lebih akurat dan dapat dipertanggungjawabkan untuk sesuatu yang sulit dilakukan bila pengambilan keputusan lebih didasari intuisi dan subyektifitas semata. Sebuah contoh numerik disampaikan untuk menerangkan penggunaan pendekatan ini. Kata kunci: bilangan fuzzy, MCDM, AHP, konsep produk baru.
Technology Map: A Text Mining and Network Analysis Approach Arif Rakhman Hakim; Taufik Djatna; Ade Febransyah
Indonesian Journal of Electrical Engineering and Computer Science Vol 3, No 1: July 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v3.i1.pp200-208

Abstract

Information of technology development is indispensable for research planning. This information is needed by researcher to determine research topics which he will contribute. For journal editor, this information is needed to evaluate research paper draft. Unfortunately, technology development is unable to be measured directly. To measure the development, several methods have been developed using patent and journal as its data. In this work we focused on development of technology map and its measurement in a method to provide information of technology development from Indonesian research journals using text mining and network analysis. The map helps stakeholders to plan their researches. Using journal data from agro-industrial technology, the method is able to identify relation between researches, thus we can develop the time line of the research area. The method can also cluster the researches into nineteen research areas and measure its popularity, importance, affinity to particular group, research type whether breakthrough or incremental, research group retention time, and its saturation.
Co-Authors Arif Rakhman Hakim Erliza Hambali J. Bely Utarja