Operational Risk Management of Feed Industry (Case Study at PT. XYZ)

PT. XYZ is a feed industry company. Potential risk is bound to happen within the company's operational processes. This study aims to analyze problems or risks existed in the plant manufacturing process, assess and evaluate the correlation between risks, its degree and impact on plant manufacturing process activity, as well as creating alternative solutions to mitigate risk in the plant manufacturing process that is appropriate to increase efficiency and effectiveness. The method used is the SCOR model for getting risk event and fuzzy FMEA for risk assessment. Based on the results of operational risk, around 46 risk events were agreed upon by experts as respondents in this study. Risk event assessment was carried out using fuzzy FMEA by calculating the value of FRPN. On fuzzy FMEA, there are three input variables (Severity, Occurence, and Detection). Operational risks categorized as very high (VH) based on a case study in PT. XYZ were (1) the risk of fire plant (M14) FRPN 884.24, (2) the risk of damage to the main engine (M12) FRPN 882.76, (3) the risk of unavailability of raw materials main production (S3) FRPN 880.07, (4) the risk of uncertainty of product sales (P2) FRPN 883.12, and (5) the risk of feed manufacturing process does not conform to standards (M3) FRPN 658.07. Meanwhile, from risk event mapping by SCOR models showed that the highest operational risk and the highest in the feed industry is in the major process make with 14 risk events and the total of its accumulated FRPN is 8,488.13. Mitigation had emphasized more on the very high risk category (VH) with a range of values of ​​RPN 800-1000 assuming that these risks have a significant impact on business processes. Keywords: process, plant operational manufacturing risk, Fuzzy FME

A Modified FMEA Approach to Enhance Reliability of Lean Systems

Purpose - The purpose of this thesis is to encourage the integration of Lean principles with reliability models to sustain Lean efforts on long term basis. This thesis presents a modified FMEA that will allow Lean practitioners to understand and improve the reliability of Lean systems. The modified FMEA approach is developed based on the four critical resources required to sustain Lean systems: personnel, equipment, material and schedule. Design/methodology/approach – A three phased methodology approach is presented to enhance the reliability of Lean systems. The first phase compares actual business and operational conditions with conditions assumed in Lean implementation. The second phase maps potential deviations of business and operational conditions to their root cause. The third phase utilizes a modified Failure Mode and Effects Analysis (FMEA) to prioritize issues that the organization must address. Findings – A literature search shows that practical methodologies to improve the reliability of Lean systems are non existent. Research Limitations/Implications –The knowledge database involves tedious calculations and hence it needs to be automated. Originality/Value • Defined Lean system reliability • Developed conceptual model to enhance the Lean system reliability • Developed knowledge base in the form of detailed hierarchical root trees for the four critical resources that support our Lean system reliability • Developed Risk Assessment Value (RAV) based on the concept of effectiveness of detection using Lean controls when Lean designer implements Lean change. • Developed modified FMEA for the four critical resources • Developed RPLS tool to prioritize Lean failures • Developed case study to analyze RPN and RAV approac

Designing fuzzy FMEA risk ,management AT production departement PT.Charoen Pokphand Tbk- poultry feed Krian, Sidoarjo

PT. Charoen Pokphand adalah perusahaan manufaktur pembuatan pakan ternak terbesar di Indonesia. Perusahaan ini memproduksi pakan ternak, bibit ayam, dan aneka olahan makanan berbahan daging ayam. Melihat permintaan dari pakan ternak yang tinggi dari tahun ke tahun, perusahaan harus mendorong dirinya untuk berinovasi dan menungkatkan kualitas dan performansi dari bisnis proses. Bisnis proses yang dominan dimiliki perusahaan ini adalah pembuatan pakan ternak. Departemen produksi dalam hal ini memiliki wewenang untuk mengatur seluruh proses produksi pakan ternak. Beberapa aktivitas didalam departemen ini memiliki banyak kondisi ketidakpastian yang dapat terjadi di lantai produksi. Ketidakpastian ini dapat mengganggu tujuan strategis dari perusahaan. Semua hal yang dapat menghambat ketercapaian tujuan dari bisnis proses dapat dikatakan sebagai risiko. Saat ini perusahaan belum memiliki data risiko secara detail. Oleh karena itu penelitian ini akan mengidentifikasi risiko apa saja yang dapat menganggu berjalannya bisnis proses produksi pada PT. Charoen Pokphand. Identifikasi risiko menggunakan metode Fault Tree Analysis. FTA digunakan untuk mendapatkan akar permasalahan dalam sebuah aktivitas. Penilaian risiko menggunakan metode Fuzzy FMEA. Metode ini dipalikasikan untuk mengurangi tingkat subjektifitas dari para ahli dalam memberikan skor pada setiap risikonya. Output dari penelitian ini yaitu dashboard risiko yang menggunakan makro excel. Output ini dapat membantu user dalam mengakses risiko bisnis proses perusahaan dengan mudah. ========================================================================================================= PT. Charoen Pokphand is the largest poultry feed manufacturing company in Indonesia. It produces animal feed, day-old chick, and chicken processing products. Seeing the demand of poultry feed is increasingly higher by year, this company should push itself to innovate and improve its business process and performance. The biggest business process of this company is poultry feed production. Production department is authorized department that manage the whole production process. Some activities inside will bring a lot of uncertainties that will be occured on the production floor. These uncertainties may block the strategy objectives. All things that can interfere the success of business objectives can be considered as a risk. Currently, they do not have risk data in detail. Therefore, this research will identify risks that may be a failure cause of activity in PT. Charoen Pokphand. The risk identification method is done by using Fault Tree Analysis. FTA is used to obtain root cause problems in each activities. The risk assessment method is done by using Fuzzy FMEA. This method is applied to reduce the expert subjectivity in giving risk score. The output of this research is risk dashboard using Macro Excel. This tool helps user to access the business process risk of PT. Charoen Pokphand

Alternative sweetener from curculigo fruits

This study gives an overview on the advantages of Curculigo Latifolia as an alternative sweetener and a health product. The purpose of this research is to provide another option to the people who suffer from diabetes. In this research, Curculigo Latifolia was chosen, due to its unique properties and widely known species in Malaysia. In order to obtain the sweet protein from the fruit, it must go through a couple of procedures. First we harvested the fruits from the Curculigo trees that grow wildly in the garden. Next, the Curculigo fruits were dried in the oven at 50 0C for 3 days. Finally, the dried fruits were blended in order to get a fine powder. Curculin is a sweet protein with a taste-modifying activity of converting sourness to sweetness. The curculin content from the sample shown are directly proportional to the mass of the Curculigo fine powder. While the FTIR result shows that the sample spectrum at peak 1634 cm–1 contains secondary amines. At peak 3307 cm–1 contains alkynes

Mathematical Methods and Operation Research in Logistics, Project Planning, and Scheduling

In the last decade, the Industrial Revolution 4.0 brought flexible supply chains and flexible design projects to the forefront. Nevertheless, the recent pandemic, the accompanying economic problems, and the resulting supply problems have further increased the role of logistics and supply chains. Therefore, planning and scheduling procedures that can respond flexibly to changed circumstances have become more valuable both in logistics and projects. There are already several competing criteria of project and logistic process planning and scheduling that need to be reconciled. At the same time, the COVID-19 pandemic has shown that even more emphasis needs to be placed on taking potential risks into account. Flexibility and resilience are emphasized in all decision-making processes, including the scheduling of logistic processes, activities, and projects

Multi crteria decision making and its applications : a literature review

This paper presents current techniques used in Multi Criteria Decision Making (MCDM) and their applications. Two basic approaches for MCDM, namely Artificial Intelligence MCDM (AIMCDM) and Classical MCDM (CMCDM) are discussed and investigated. Recent articles from international journals related to MCDM are collected and analyzed to find which approach is more common than the other in MCDM. Also, which area these techniques are applied to. Those articles are appearing in journals for the year 2008 only. This paper provides evidence that currently, both AIMCDM and CMCDM are equally common in MCDM

On the role of Prognostics and Health Management in advanced maintenance systems

The advanced use of the Information and Communication Technologies is evolving the way that systems are managed and maintained. A great number of techniques and methods have emerged in the light of these advances allowing to have an accurate and knowledge about the systems’ condition evolution and remaining useful life. The advances are recognized as outcomes of an innovative discipline, nowadays discussed under the term of Prognostics and Health Management (PHM). In order to analyze how maintenance will change by using PHM, a conceptual model is proposed built upon three views. The model highlights: (i) how PHM may impact the definition of maintenance policies; (ii) how PHM fits within the Condition Based Maintenance (CBM) and (iii) how PHM can be integrated into Reliability Centered Maintenance (RCM) programs. The conceptual model is the research finding of this review note and helps to discuss the role of PHM in advanced maintenance systems.EU Framework Programme Horizon 2020, 645733 - Sustain-Owner - H2020-MSCA-RISE-201

A Reputational-Risk-Based Match Selection Framework for Collaborative Networks in the Logistics Sector

IPL/2021/ReEdIACollaborative networks in the logistics sector have proven to be a solution that both meets environmental footprint reduction goals and addresses the impact of rising fuel prices on logistics companies, especially for small-and medium-sized enterprises. Despite these benefits, these collaborative networks have not received the desired amount of participation due to reputational risk. This paper develops a framework for assessing and managing reputational risk to encourage logistics companies’ participation in collaborative networks. To this end, customer satisfaction factors were correlated with logistics operations, and this correlation was then modeled using the Bowtie method, fault trees, event trees, reliability theory, and the Monte Carlo model. The results show that it is possible to implement a structured model that can be easily put into practice. Using an illustrative case study, it is also possible to prioritize three companies according to their reputational risk as assessed by the proposed model. The developed model can promote the sustainability of collaborative networks in the logistics industry by assessing and consistently reducing reputational risk, thus supporting the strengthening of the relationship between suppliers, logistics service providers, and end customers.publishersversionpublishe

A fuzzy-based holistic approach for supply chain risk assessment and aggregation considering risk interdependencies

Producción CientíficaSupply chain risk management requires dealing with uncertainty, interrelations, and subjectivity inherent in the risk assessment process. This paper proposes a holistic approach for risk management that considers the impact on multiple performance objectives, the relation between risk agents, and the risk event interdependencies. An aggregated risk score is proposed to capture the cascading effects of common risk triggers and quantify the aggregated score by risk agent and objective. The approach also uses fuzzy logic to allow for the treatment of vague and ambiguity data as input parameters to the model from different domains and scales, according to knowledge and criteria nature. The integration of the balanced scorecard tool improves the analysis and prioritization of mitigation strategies in decision-making, both by risk agent and by strategic objective. A case study of a telecommunication company is presented to illustrate the applicability of the proposed approach