scholarly journals Mass customization model in food industry using industry 4.0 standard with fuzzy-based multi-criteria decision making methodology

2018 ◽  
Vol 10 (3) ◽  
pp. 168781401876677 ◽  
Author(s):  
Janos Simon ◽  
Monika Trojanova ◽  
Jozef Zbihlej ◽  
Jozsef Sarosi
Keyword(s):  
Decision Making ◽  
Mass Customization ◽  
Industry 4.0 ◽  
Food Industry ◽  
Multi Criteria Decision Making

Analysis of readiness factors for Industry 4.0 implementation in SMEs using COPRAS

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
R.M. Sriram ◽  
S. Vinodh
Keyword(s):  
Decision Making ◽  
Industry 4.0 ◽  
Design Methodology ◽  
Multi Criteria Decision Making ◽  
Practical Relevance ◽  
Content Type ◽  
Original Contribution ◽  
Manufacturing Competitiveness ◽  
Practical Implications

PurposeThe purpose of this paper is to analyse the readiness factors for Industry 4.0 deployment in small and medium-sized enterprises (SMEs) using complex proportionality assessment (COPRAS) methodology.Design/methodology/approachIndustry 4.0 is vital for ensuring manufacturing competitiveness of SMEs. In order to facilitate Industry 4.0 adoption in SMEs, readiness factors need to be analysed. In this viewpoint, this article presents the analysis of readiness factors using multi-criteria decision-making (MCDM) tool COPRAS.FindingsThe priority of ranking of 15 readiness factors is obtained. The prioritized readiness factors would enable the smooth adoption of Industry 4.0 in SMEs.Practical implicationsThe study has been done based on inputs from industry practitioners and hence the results have practical relevance.Originality/valueThe analysis of readiness factors for Industry 4.0 in SMEs using COPRAS is the original contribution of authors.

Multi-Criteria Decision Making in Manufacturing Systems

2019 ◽  
pp. 80-107
Author(s):  
Hande Erdoğan Aktan ◽  
Ömür Tosun
Keyword(s):  
Decision Making ◽  
Industry 4.0 ◽  
Manufacturing Systems ◽  
Decision Makers ◽  
Smart Factory ◽  
Multi Criteria Decision Making ◽  
Structural Modelling ◽  
Location Selection ◽  
The Relationship ◽  
Selection Of

In this study, an Industry 4.0-oriented electronical goods producer company's smart facility location selection problem is analyzed. The proposed problem is evaluated under environmental, economic, social, and technological criteria. The relationship between criteria are analyzed with interpretive structural modelling (ISM) and Matrice d'Impacts Croisés-Multiplication Appliquée á un Classement (MICMAC) methods. ISM method is used to assess the mutual relation of the criteria and their dependencies, whereas the MICMAC method is used to identify the importance of criteria based on their driving and dependence power. It is expected the methods used in this study which are related to evaluation of the criteria affecting the selection of the plant for a smart factory and the results of it will be useful for decision-makers and practitioners to categorize and differentiate the criteria. This study will be one of the first spearheading research to evaluate the criteria for establishing a smart factory.

scholarly journals PENERAPAN FUZZY MULTI CRITERIA DECISION MAKING UNTUK PEMILIHAN BIBIT CABAI UNGGUL

JURTEKSI ◽  
2020 ◽  
Vol 6 (3) ◽  
pp. 253-258
Author(s):  
Edi Kurniawan ◽  
Nurul Rahmadani
Keyword(s):  
Decision Making ◽  
Food Industry ◽  
Multi Criteria Decision Making ◽  
The Government ◽  
Market Needs ◽  
Genus Capsicum ◽  
Very High ◽  
Selection Of ◽  
Flavor Enhancer ◽  
Local Farmers

Abstract: chili is a plant that many of us have encountered in Indonesia, usually used as a cooking spice and flavor enhancer in food. Chili includes members of the genus Capsicum. The high number of chili enthusiasts has made the need for chili higher in Indonesia while chili is used in various fields such as medicine, cooking spices, and the food industry. Based on data from the Central Statistics Agency (BPS) in July the first 2019, retail red chili prices are set at Rp 62,099 per kilogram. This price increased by 21.76 percent when compared to the average price of chili in June 2019. In recent months the price of chili has increased very high, this is due to the reduced yields of chili farmers. Increasing the supply of chili is reduced and can not meet market needs. To control the soaring chili prices, the government is making important imports from India. The problem experienced by local farmers is the selection of superior chili seeds. The process of selecting chili seeds carried out so far by farmers is still by manual and traditional methods. Because this adds to the knowledge that is qualified to choose superior chili seeds based on certain criteria and which choices of chili seeds are suitable for cultivation. The process of cultivating chili seeds becomes more complete with maximum results. The technology used is using the Fuzzy Multi-Criteria Decision Making Method in determining superior chili seeds. From this method, it is expected to provide a solution to the chili farmers about the alternative selection of superior chili seeds. Keywords: Chili Seeds; Decision Support System; Fuzzy Multi Criteria Decision Making Abstrak: cabai merupakan tanaman yang banyak kita jumpai di Indonesia, biasanya digunakan sebagai bumbu masakan dan penguat rasa pada makanan. Cabai termasuk anggota genus Capsium. Banyaknya peminat cabai membuat kebutuhan akan cabai semakin tinggi di Indonesia  cabai digunakan dalam berbagai bidang seperti obat-obatan, bumbu masakan dan industri makanan. Berdasarkan data Badan Pusat Statistik (BPS) pada bulan juli pecan pertama 2019, harga cabai merah eceran tercatat Rp 62.099 per kilogram. Harga tersebut mengalami kenaikan sebesar 21,76 persen jika dibandingkan rata-rata harga cabai pada juni 2019. Beberapa bulan terakhir ini harga cabai mengalami lonjakan yang sangat tinggi hal tersebut karena berkurangnya hasil panen para petani cabai. Sehingga pasokan cabai berkurang dan tidak bisa memenuhi kebutuhan pasar. Dalam rangka mengendalikan harga cabai yang melonjak tinggi pemerintah melakukan impor cabai dari India. Masalah yang dialami oleh para petani lokal yaitu pemilihan bibit cabai unggul. Proses pemilihan bibit cabai yang dilakukan selama ini oleh petani masih dengan cara manual dan tradisional. Hal tersebut mereka lakukan Karena kurangnya pengetahuan yang mumpuni untuk memilih bibit cabai unggul berdasarkan kriteria-kriteria tertentu dan beberapa pilihan alternatif bibit cabai mana yang cocok untuk dibudidayakan. Sehingga dengan demikian proses pembudidayaan  bibit cabai menjadi lebih singkat waktunya dengan hasil yang maksimal. Teknologi yang digunakan yaitu menggunakan metode Fuzzy Multi Criteria Decision Making dalam menetukan bibit cabai unggul. Dari metode tersebut diharapkan dapat memberikan solusi kepada para petani cabai mengenai alternatif pemilihan bibit cabai unggul. Kata Kunci: Bibit Cabai; Fuzzy Multi Criteria Decision Making; sistem pendukung keputusan

scholarly journals Evaluation of the Difficulties in the Internet of Things (IoT) with Multi-Criteria Decision-Making

Processes ◽  
2019 ◽  
Vol 7 (3) ◽  
pp. 164 ◽  
Author(s):  
Buse Uslu ◽  
Tamer Eren ◽  
Şeyda Gür ◽  
Evrencan Özcan
Keyword(s):  
Decision Making ◽  
Internet Of Things ◽  
Industry 4.0 ◽  
Industrial Revolution ◽  
Rapid Development ◽  
Minimum Cost ◽  
Analytic Network Process ◽  
The Internet ◽  
Multi Criteria Decision Making ◽  
The Internet Of Things

The rapid development of technology has increased the desire of all to be on the Internet. The discovery that objects born of the Internet communicate with each other without external factors revealed, with the fourth industrial revolution, the concept of the Internet of Things (IoT). The communication of objects with each other means minimum labor and minimum cost for enterprises. Enterprises that want to transition to the Internet of Things face many difficulties. Identifying and correcting these difficulties can lead to both lost time and high cost. In this study, we investigated the difficulties encountered in the Internet of Things. As a result of the study, the degree of importance of the factors causing these difficulties was determined by multi-criteria decision-making methods and was presented to the enterprises. The main criteria, and the sub-criteria related to these main criteria, were determined. The main purpose of the enterprises transitioning to Industry 4.0 is the communication of things with each other. In this study, we aimed to determine which criteria caused difficulties in the transition to Industry 4.0. Then, the degree of importance of the criteria was determined using the analytic hierarchy process (AHP) and analytic network process (ANP) methods, in the multi-criteria decision-making. Through the study, we determined which criteria should be taken into consideration by the enterprises that want to transition to the Internet of Things. In this way, enterprises will be able to accelerate that transition by minimizing time and monetary loss.

Perancangan aplikasi multi criteria decision making dalam penerimaan beasiswa kepada dosen studi lanjut STMIK Balikpapan menggunakan metode SAW

2018 ◽  
Vol 1 (1) ◽  
pp. 35-42
Author(s):  
Muslimin B ◽  
Sumardi Sumardi
Keyword(s):  
Decision Making ◽  
Learning Process ◽  
Teaching And Learning ◽  
Teaching Assistants ◽  
Multi Criteria Decision Making ◽  
Scholarship Recipients ◽  
The Matrix ◽  
Application Decision ◽  
High Degree ◽  
New Student

 Interests and number of STMIK Balikpapan new student enrollments are increasing every year. The balance of the ratio of lecturers to students is one of the most important components in improving the quality and teaching and learning process of a university. Avoiding shortages in the number of lecturers can be realized by providing scholarship programs to alumni and teaching assistants. This study aims to build a multi criteria decision making application that can assist the Head of HRD in the process of receiving scholarships to advanced and effective study lecturers. The multi criteria decision making application developed in this study uses the SAW method. The implementation of the SAW method includes the process of evaluating the weighting of criteria, evaluating alternative weights, the matrix process, the results of decision making preferences, resulting in the weighting and ranking of each alternative candidate for the scholarship recipient. The results of the evaluation of multi-criteria application decision making in the study are expected to produce modeling with a high degree of accuracy. The results of the analysis carried out can provide alternative recommendations for prospective scholarship recipients to advanced study lecturers in STMIK Balikpapan.

Applying the Multi-Criteria Decision Making Model for Ranking Commercial Banks: The Case of Vietnam

2019 ◽  
pp. 125-133
Author(s):  
Duong Truong Thi Thuy ◽  
Anh Pham Thi Hoang
Keyword(s):  
Decision Making ◽  
Commercial Banks ◽  
Decision Model ◽  
Business Models ◽  
Multi Criteria Decision Making ◽  
Ideal Solution ◽  
Topsis Method ◽  
Decision Making Model

Banking has always played an important role in the economy because of its effects on individuals as well as on the economy. In the process of renovation and modernization of the country, the system of commercial banks has changed dramatically. Business models and services have become more diversified. Therefore, the performance of commercial banks is always attracting the attention of managers, supervisors, banks and customers. Bank ranking can be viewed as a multi-criteria decision model. This article uses the technique for order of preference by similarity to ideal solution (TOPSIS) method to rank some commercial banks in Vietnam.

Selection of Contractor Using Multi-Criteria Decision Making Tools

2011 ◽  
Vol 4 (4) ◽  
pp. 139-142
Author(s):  
S.PUSHPARANI S.PUSHPARANI ◽  
◽  
Dr.S.SENTHAMILKUMAR Dr.S.SENTHAMILKUMAR
Keyword(s):  
Decision Making ◽  
Multi Criteria Decision Making ◽  
Selection Of
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