Risk Measurement of Supply Chain Organic Rice Product Using Fuzzy Failure Mode Effect Analysis in MUTOS Seloliman Trawas Mojokerto

AbstrakTerjadinya berbagai macam penyakit yang bersumber dari makanan menyebabkan masyarakat semakin sadar akan pentingnya mengkonsumsi makanan yang aman. Pengelolaan keamanan pangan harus dilakukan secara terintegrasi di sepanjang rantai pasok, agar tidak terjadi perubahan status pangan dari aman menjadi tidak aman. Oleh karena itu, untuk mengantisipasi perubahan tersebut, maka perlu dilakukan analisa risiko keamanan pangan pada rantai pasok agar dapat dirumuskan langkah- langkah strategis untuk meminimalisir risiko yang terjadi. Penelitian ini bertujuan untuk (1) melakukan identifikasi kegiatan-kegiatan pada rantai pasok yang mengandung risiko terhadap keamanan pangan, (2) melakukan pengukuran risiko keamanan pangan yang terjadi pada rantai pasok pangan, (3) mengetahui kegiatan pada rantai pasok yang paling berisiko terhadap keamanan pangan. Obyek penelitian yang digunakan adalah rantai pasok ikan segar di wilayah Kab Sidoarjo. Pengolahan data dilakukan dengan menggunakan metode risk FMEA (Failure Mode Effect Analysis). Hasil penelitian menunjukkan bahwa terdapat 11 kegiatan yang berisiko pada sistem keamanan pangan, yaitu: (1) pemberian makanan pada ikan; (2) pengelolan sistem kebersihan kolam/ tambak; (3) proses memanen ikan; (4) cara pemilahan ikan; (5) cara penyimpanan ikan; (6) cara pemasaran ikan; (7) jenis kendaran yng digunakan untuk pengiriman ikan; (8) cara penyimpanan saat pengiriman ikan; (9) cara memindahkan ikan; (10) cara penangganan ikan yang tidak terjual; (11) cara penangganan ikan tidak layak jual. Dari 11 kegiatan berisiko tersebut, skor resiko tertinggi terdapat pada cara penyimpanan ikan, cara pemasaran ikan, jenis kendaraan yang digunakan untuk pengiriman ikan dan cara pengemasan ikan pada saat distribusi. AbstractThe occurrence of various diseases that are sourced from food cause the public increasingly aware of the importance of consuming safe foods. Food safety management must be integrated throughout the supply chain, in order to avoid the change of food status from safe to unsafe. Therefore, to anticipate the change, it is necessary to analyze food security risk in supply chain in order to formulate strategic steps to minimize the risk that happened. This research aims to (1) identify activities in supply chains that contain risks to food security, (2) measuring food safety risks that occur in the food supply chain, (3) to know the activities in the supply chain that are most at risk to food security. The research object used is fresh fish supply chain in Sidoarjo regency. Data processing is done by using risk method FMEA (Failure Mode Effect Analysis). The results show that there are 11 activities that are at risk to food safety system, namely: (1) feeding on fish; (2) management of pond cleanliness system; (3) the process of harvesting fish; (4) how to sort fish; (5) how to store fish; (6) how to fish marketing; (7) type of vehicle used for fish delivery; (8) how to store when shipping fish; (9) how to move fish; (10) unsubscriptions of unsold fish; (11) the way a fish subscription is not worth selling. Of the 11 risk activities, the highest risk score is in the way of fish storage, the way of fish marketing, the type of vehicle used for fish delivery and the way of fish packaging at the time of distribution. Keyword: Shain Supply; Safety Food; FMEA; Fish; Risk

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Risk analysis of cutting system under intuitionistic fuzzy environment

Reports in Mechanical Engineering ◽

10.31181/rme200101162k ◽

2020 ◽

Vol 1 (1) ◽

pp. 162-173

Author(s):

Dinesh Kumar Kushwaha ◽

◽

Dilbagh Panchal ◽

Anish Sachdeva ◽

◽

...

Keyword(s):

Risk Assessment ◽

Failure Mode ◽

Thermal Power ◽

Failure Detection ◽

Engineering System ◽

Effect Analysis ◽

Intuitionistic Fuzzy ◽

Mode Effect ◽

Cutting System ◽

Failure Mode Effect Analysis

Failure Mode Effect Analysis (FMEA) is popular and versatile approach applicable to risk assessment and safety improvement of a repairable engineering system. This method encompasses various fields such as manufacturing, healthcare, paper mill, thermal power industry, software industry, services, security etc. in terms of its application. In general, FMEA is based on Risk Priority Number (RPN) score which is found by product of probability of Occurrence (O), Severity of failure (S) and Failure Detection (D). As human judgement is approximate in nature, the accuracy of data obtained from FMEA members depend on degree of subjectivity. The subjective knowledge of members not only contains uncertainty but hesitation too which in turn, affect the results. Fuzzy FMEA considers uncertainty and vagueness of the data/ information obtained from experts. In order to take into account, the hesitation of experts and vague concept, in the present work we propose integrated framework based on Intuitionistic Fuzzy- Failure Mode Effect Analysis (IF-FMEA) and IF-Technique for Order Preference by Similarity to Ideal Solution (IF-TOPSIS) techniques to rank the listed failure causes. Failure cause Fibrizer (FR) was found to be the most critical failure cause with RPN score 0.500. IF-TOPSIS has been implemented within IF-FMEA to compare and verify ranking results obtained by both the IF based approaches. The proposed method was presented with its application for examining the risk assessment of cutting system in sugar mill industry situated in western Uttar Pradesh province of India. The result would be useful for the plant maintenance manager to fix the best maintenance schedule for improving availability of cutting system.

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