RANCANGAN MODEL PERFORMANSI RISIKO RANTAI PASOK AGROINDUSTRI SUSU DENGAN MENGGUNAKAN PENDEKATAN LOGIKA FUZZY (A Supply Chain Risk Performance Model for Local Raw Milk Agro-Industry Based on Fuzzy Logic Approach)

Abstract

The critical point of performance and risk supply chain in a dairy product agro-industries was found in the product’s perishable characteristics. Bacterial and antibiotic contaminations have been identified as the major risks. This risks arise from a series of activities strarting from farms, cooperatives and Milk Processing Industry that will affect the entire supply chain performance. This paper aimed to design performance and risk supply chain model for agroindustrial dairy product supply chain risks by using Fuzzy Associative Memories (FAMS) approach. The approach isused to translate a quantity that is expressed using the language (linguistic). The fuzzy logic system provides fourbasic elements, namely : (i) rule base; (ii) inference engine; (iii) fuzzification; (iv) defuzzification. There are three proposed components in the model, namely : (i) performance profile; (ii) risk profile and (iii) risk exposure, which were expressed in time, cost and quality. Theinitial stage began with the analysis of invetible exposure risk exposure,including analysis of environmental and configuration characteristics, as well as dairy agro-industries supply chain. The second stage wasanalysis of evitable exposure risk, while the third stage was to change, risk exposure into time, cost and quality performance units. The second stage generateds risk magnitude of risk as a function of probability andseverity, the two value that were measured with Fuzzy AssociativeMemories (FAMS). The Model, therefore showed the impact of emerging risks damage to the agro-industry supply chain, which could be measured and be minimized in order to improve the robustnesss of the supply chain.Keywords: Performance, risk, fuzzy, supply chain, dairy agroindustry ABSTRAKTitik kritis dari performansi dan risiko rantai pasok agroindustri susu terletak pada karakteristik produknya yang mudah rusak. Risiko tertinggi yang teridentifikasi pada rantai ini adalah risiko susu terkontaminasi bakteri dan antibiotik. Risiko ini muncul dari rangkaian aktivitas yang terjadi mulai dari peternakan, koperasi dan Industri Pengolahan Susu (IPS) yang akan mempengaruhi performasi rantai pasok keseluruhan. Paper ini bertujuan untuk merancang model performansi dan risiko rantai pasok agroindustri susu dengan menggunakan pendekatan Fuzzy Assosiated Memories (FAMs). Logika fuzzy digunakan untuk menerjemahkan suatu besaran yang diekspresikan menggunakan bahasa (linguistic). Secara umum dalam sistem logika fuzzy terdapat empat buah elemen dasar, yaitu: basis kaidah (rule base), mekanisme pengambilan keputusan (inference engine), proses fuzzifikasi (fuzzification) dan proses defuzzifikasi (defuzzification). Ada tiga komponen yang dipertimbangkan dalam rancangan model yaitu profil performansi, profil risiko dan eksposurrisiko dalam ukuran waktu, biaya dan kualitas. Tahap pertama dimulai dengan menganalisis eksposur risiko yang tidak terhindarkan yang meliputi analisis karakteristik lingkungan dan konfigurasi serta karakteristik rantai pasok agroindustri susu. Tahap kedua adalah menganalisis eksposure risiko yang dapat dihindari. Tahap ketiga adalah mengubah eksposur risiko ke dalam ukuran performansi waktu, biaya dan kualitas. Pada tahap kedua dihasilkan magnitude risiko, yang merupakan fungsi dari nilai probabilitas dan severity yang dilakukan dengan menggunakan Fuzzy Assosiated Memories (FAMs).Dengan model ini diharapkan dampak kerusakan dari risiko yang muncul pada rantai pasok agroindustri susu dapat terukur dan dapat diminimasi sehingga dapat meningkatkan ketangguhan (robustnes) dari rantai pasok.Kata kunci: Performansi, risiko, fuzzy, rantai pasok, agroindustri susu

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