Semantic Matchmaking and Decision Support System for Dependable Supplier Selection in the Extended Enterprise Supply Chain

Author(s):  
A. F. Salam

Increasingly firms are competing through the formation of extended enterprises. An extended enterprise consists of a set of firms within a value chain that collaborate to produce a finished product. The case of dependable supplier selection, in the context of the extended enterprise, is complex where the focal firm has to select the supplier(s) for a specific class of customers depending on the value of those customers to the focal firm and the extended enterprise. This process requires careful consideration of a set of selection criteria to be used in selecting the suppliers. In this article, a semantic intelligent agent-based architecture and decision support system are presented for selecting dependable suppliers in the context of extended enterprise.

2021 ◽  
Vol 8 (6) ◽  
pp. 1177
Author(s):  
Tundo Tundo ◽  
Wisnu Dwi Nugroho

<p>Penelitian ini bertujuan untuk membantu pengrajin kayu di Dongkelan, Krapyak, Yogyakarta dalam menentukan kayu terbaik untuk dijadikan sebagai bahan gitar, karena sering terjadi keluhan dari para pembeli bahwa bahan yang dijadikan bahan gitar cepat lapuk dan kusam dari segi warnah. Berdasarkan permasalahan tersebut, dicari suatu solusi dengan menggunakan metode <em>Decision Support System</em> <em>Multi Objective Optimization on the basic of Ratio Analysis</em><em> </em>(MOORA) serta dibantu oleh pakar dalam menentukan kriteria yang tepat berkaitan penentuan kayu terbaik yang digunakan dalam pembuatan bahan gitar, setelah berdiskusi panjang ditemukan hasil kriteria yang tepat berdasarkan permasalahan, berupa kriteria kekuatan kayu, serat kayu, tekstur, dan berat kayu. Semua kriteria tersebut, kemudian diproses dengan menggunakan metode MOORA, dengan data yang digunakan sebanyak 29 jenis data kayu, yang diperoleh dari pengrajin yang ada di wilayah tersebut. Setelah diproses, diperoleh hasil 3 kayu terbaik yang layak untuk digunakan sebagai bahan pembuatan gitar secara berurutan dalah kayu Bubinga dengan nilai 18,36785, kayu Bocote dengan nilai 17,33385, dan kayu Eboni dengan nilai 17,33385   dari beberapa pilihan alternatif  kayu yang ada. Membuktikan hasil dari metode MOORA<em>, </em>maka dilakukan responden secara langsung dengan memberikan hasil metode kepada pakar pembuat gitar. Dari 15 pakar pembuat gitar, 13 mengatakan setuju dengan peringkat 3 terbesar, dan 2 mengatakan kurang setuju. Sehingga ditemukan tingkat akurasi berdasarkan penilaian pakar sebesar 86,67 %.</p><p> </p><p><strong>Abstract</strong></p><div><p><em>This study aims to assist wood craftsmen in Dongkelan, Krapyak, Yogyakarta in determining the best wood to be used as guitar material, because there are frequent complaints from buyers that the material used for guitar is rotten quickly and is dull in terms of color. Based on these problems, a solution was sought using the Multi Objective Optimization on the basic of Ratio Analysis (MOORA) Decision Support System method and assisted by experts in determining the right criteria related to determining the best wood used in making guitar materials, after a long discussion found the results. the right criteria based on the problem, in the form of wood strength criteria, wood grain, texture, and wood weight. All of these criteria are then processed using the MOORA method, with the data used as much as 29 types of wood data, which are obtained from craftsmen in the area. After processing, the 3 best woods that are suitable for use as a guitar-making material are Bubinga wood with a value of 18.36785, Bocote wood with a value of 17.333385, and Eboni wood with a value of 17.333385 from several alternative wood choices. . Proving the results of the MOORA method, the respondents directly gave the results of the method to guitar-making experts. Of the 15 expert guitar makers, 13 said they agreed with the third largest ranking, and 2 said they disagreed. So that it found the level of accuracy based on expert judgment of 86.67%. </em></p></div><p><strong><br /></strong></p>


2021 ◽  
pp. 601-615
Author(s):  
Ecem Gizem Babadağ ◽  
İdil Bıçkı ◽  
Halil Çağın Çağlar ◽  
Yeşim Deniz Özkan-Özen ◽  
Yücel Öztürkoğlu

2020 ◽  
Vol 11 (3) ◽  
pp. 199
Author(s):  
Bhushan S. Purohit ◽  
Vikas Manjrekar ◽  
Vivek Singh ◽  
Bhupesh Kumar Lad

Author(s):  
Yuliani Indrianingsih

The production process is a way to increase the usefulness of an item and service using existing production factors. The decision making process to determine the amount of production, especially in the business world contains risks. It needs to be supported by careful calculations so that the risk of loss can be avoided. Industri associations tofu "Waluyo" in Seyegan who still determines the amount of production manually. From the above problems a Decision Support System (DSS) was made using Sugeno's fuzzy method. In this DSS there are three variables modeled, namely, inventory variables, demand variables and production variables. The demand variable consists of two fuzzy sets, the inventory variable consists of two fuzzy sets and 4 rules which are the production rules used by Industry associations tofu "Waluyo" in determining the amount of production. Based on the acuracy   test using the MAPE (Mean Absolute Percentage Error) method obtained a value of 5,3069% or below the error rate of 10%. So this system can be applied in determining the amount of tofu production in the tofu industri community in Seyegan.


2021 ◽  
Vol 2 (3) ◽  
pp. 243
Author(s):  
Jaka Sepridho ◽  
Irfan Sudahri Damanik ◽  
Harly Okprana

Pematangsiantar Mayor Office is an institution that is used and functions to serve and protect the community. This paper proposes a decision support system research using the Promethee method. Promethee is one of several methods of determining the order or priority in multi-criteria analysis. This writing uses the Promethee method as a step in determining the provision of incentives for freelance daily staff at the Pematangsiantar Mayor's Office. In this study the authors took 10 alternatives with 5 assessment criteria including absenteeism, achievement, behavior, long history of work and teamwork. With the highest result obtained by alternative 9 on behalf of Triono with a value of 0.422 and the lowest result obtained by alternative 6 on behalf of Soraya with a value of -0.211.


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