scholarly journals Supply Chain Risk Mapping and Analysis: A FMEA Implementation on Biofuel Downstream Supply Chain

2018 ◽  
Vol 6 (6) ◽  
Author(s):  
Tedy Wachyudi ◽  
Arief Daryanto, Mahfud ◽  
Yandra Arkeman
Keyword(s):  
Supply Chain ◽  
Risk Mitigation ◽  
Practical Implementation ◽  
Supply Chain Risk ◽  
Effect Analysis ◽  
Related Risk ◽  
Research Level ◽  
Supply Chain Risks ◽  
Feedstock Availability ◽  
Level Of Analysis

The domestic biofuel program of Indonesia has been facing number of dynamics and challenges, such as: low production, uncertainty of feedstock availability, low realized consumption, price fluctuation and less competitive, unfit and viewer infrastructure, imbalance distribution. This study aims to map and analyze supply chain risks of biodiesel downstream business and offers a practical implementation of Failure Mode and Effect Analysis (FMEA) in the supply chain risk analysis. It employs a qualitative approach. A semi-structured surveys and interviews applied in data collection. The research level of analysis is at corporate level. The study result shows that there are three highest risks arise related to regulation related risk, product arrival (delays) risk and transportation facilities risk with the Risk Priority Number (RPN) of 72 to 48 and the Risk Score Value (RSV) of 24 to 16. The result also shows that there is correlation between stakeholder types, locations and levels of information with their perception of biodiesel supply chain risk and risk priorities. The result may become a valuable input for developing such risk mitigation strategy to improve and enhance the effectivity and the sustainability of supply chain in both the company and the biodiesel industry.

scholarly journals Analysis of Cocoa Supply Chain Risk in Kare Village, Madiun District with Method Analytic Network Process

2020 ◽  
Vol 4 (2) ◽  
pp. 15-19
Author(s):  
Risqi Firdaus Setiawan ◽  
Pawana Nur Indah ◽  
Endang Yektiningsih
Keyword(s):  
Supply Chain ◽  
Value Chain ◽  
Analytic Network Process ◽  
Cocoa Bean ◽  
Supply Chain Risk Management ◽  
Supply Chain Risk ◽  
Effect Analysis ◽  
Production Risk ◽  
Network Process ◽  
Supply Chain Risks

Cocoa is one of the plantation commodities whose role is quite important for the national economy of Indonesia. However, the cocoa industry faces several problems including the various risks involved in the cocoa supply chain. The aim of this study were: 1) Identifying risks in the cocoa supply chain 2) Analyzing the members of the supply chain with the highest risk 3) Evaluating and mitigating cocoa supply chain risks effectively and efficiently. An integrated analytic network process (ANP) and weighted failure mode effect analysis (WFMEA) method will be used to determine and analyze the highest risk in the cocoa supply chain. The results of the priority of the members of the value chain in the cocoa supply chain risk management are SMEs (0.43801), with the risk having the highest priority is production risk (0.29262) as well as alternative strategic priorities namely by increasing income (0.28754). The results of risk control are mainly focused on efforts to increase the income of cocoa farmers by utilizing cocoa processing byproducts such as cocoa bean pulp and cocoa pod husks. The cocoa bean pulp can be processed into nata products and cocoa juice, while the cocoa pod skin can be used as fertilizer.

Managing Risk in Small and Medium Enterprises (SMEs) Supply Chains’ Using Quality Function Deployment (QFD) Approach

2013 ◽  
Vol 4 (1) ◽  
pp. 64-83 ◽  
Author(s):  
Mohd. Nishat Faisal
Keyword(s):  
Risk Management ◽  
Supply Chain ◽  
Supply Chains ◽  
Quality Function Deployment ◽  
Risk Mitigation ◽  
Current Status ◽  
Supply Chain Risk Management ◽  
Multiple Sources ◽  
Supply Chain Risk ◽  
Supply Chain Risks

Supply chain risk management (SCRM) is the process of risk mitigation in supply chains achieved through collaboration, coordination and application of risk management tools among the partners, to ensure continuity coupled with long-term profitability of the supply chain. Supply chain risks emanate from multiple sources and similarly risk mitigation in supply chains is dependent on several variables. The most difficult part of supply chain risk management is prioritizing risks and an understanding of the relationships among various types of risks and risk mitigation variables. Drawing from the standard framework, in this research a modified house of quality is developed to understand the relationships between various supply chain risks and risk mitigation variables. It helps to prioritize various risks and understand the current status of the supply chain and the deficient areas with regard to risk mitigation capabilities. The structured QFD process provides the supply chain managers a conceptual map that enables the improvement of planning and control of various risks that could impact a supply chain.

scholarly journals Interpretive Structural Modeling and House of Risk Implementation for Risk Association Analysis and Determination of Risk Mitigation Strategy

2020 ◽  
Vol 19 (1) ◽  
pp. 10-21
Author(s):  
Christine Natalia ◽  
Yulitari Flora Theresa Br. Hutapea ◽  
Chendrasari Wahyu Oktavia ◽  
Trifenaus Prabu Hidayat
Keyword(s):  
Supply Chain ◽  
Risk Mitigation ◽  
Structural Modeling ◽  
Supply Chain Risk ◽  
Interpretive Structural Modeling ◽  
Industry Competition ◽  
Worker Selection ◽  
Supply Chain Risks ◽  
Relationship Of

The increasingly fierce industry competition causes each company needs strong supply chain activities as part of the company to be able to survive in an environment full of competition. In carrying out supply chain activities, it is certainly inseparable from supply chain risks that can disrupt supply chain activities. In supply chain risk it is important to know the key risks as the risks that trigger the other risks in the supply chain. This study aims to identify the relationship of risk and mitigation to reduce the causes of the risk. The interpretive structural modeling (ISM) approach is applied to solve problems related to risk linkages and produced key risks which are the risks that most influence the occurance of other risks. The key risks obtained are then processed using the house of risk (HOR) approach to determine the priority of risk mitigation actions. ISM result obtained four key risks, namely the risk element of inputting data error when entering the number of goods and spesifications, product spesification errors desired by the customer, frequent changes in customer design requests and revisions to the design drawings. Then the result of the HOR method obtained four recommended priority mitigation actions, namely updating information on a scheduled basis, conducting briefings every day before work, coordinating and reconfirming requests for product spesifications, and implementing more strigent worker selection procedures. The linkage of the causes of risk, the validation of the ISM model statistically and the weighting of the triggered criteria are several aspects that further research is needed.

scholarly journals Proposed Action of Supply Chain Risk Mitigation Air Compressor Type L Unloading ¼ HP Using The Fuzzy – FMEA and Fuzzy – AHP Method in PT. XYZ

2021 ◽  
Vol 2 (1) ◽  
pp. 10-17
Author(s):  
Dyah Lintang Trenggonowati ◽  
Achmad Bahauddin ◽  
Asep Ridwan ◽  
Yuyun Wulandari
Keyword(s):  
Supply Chain ◽  
Manufacturing Industry ◽  
Risk Mitigation ◽  
Fuzzy Ahp ◽  
Supply Chain Network ◽  
Supply Chain Risk ◽  
Effect Analysis ◽  
Air Compressor ◽  
Risk Event ◽  
Mitigation Action

Established since the 80s, PT. XYZ is an air compressor manufacturing industry located in Tangerang, Indonesia. In the production process, the Air compressor type L Unloading 1/4 HP has a very complex supply chain network which makes the supply chain network activities experience obstacles in the form of risks or potential risks that can occur so that it can disrupt the smooth running of the supply chain activities of the air compressor type L. Unloading 1/4 HP. However, PT. XYZ has not maximally implemented risk mitigation actions in its supply chain. The purpose of this study is to propose a mitigation action against risk events that occur along the supply chain of water compressor type L Unloading 1/4 HP using the FFMEA (Fuzzy Failure Mode and Effect Analysis) and FAHP (Fuzzy Analytical Hierarchy Process) methods. Based on the research, there were 29 identified risk events with 5 priority risk events. And of the 5 priority risk events, each has 2 proposed mitigation actions per priority risk event

Managing Risk in Small and Medium Enterprises (SMEs) Supply Chains' Using Quality Function Deployment (QFD) Approach

2015 ◽  
pp. 1469-1489
Author(s):  
Mohd. Nishat Faisal
Keyword(s):  
Risk Management ◽  
Supply Chain ◽  
Supply Chains ◽  
Risk Mitigation ◽  
Supply Chain Risk Management ◽  
Multiple Sources ◽  
Supply Chain Risk ◽  
Planning And Control ◽  
Managing Risk ◽  
Supply Chain Risks

Supply chain risk management (SCRM) is the process of risk mitigation in supply chains achieved through collaboration, coordination and application of risk management tools among the partners, to ensure continuity coupled with long-term profitability of the supply chain. Supply chain risks emanate from multiple sources and similarly risk mitigation in supply chains is dependent on several variables. The most difficult part of supply chain risk management is prioritizing risks and an understanding of the relationships among various types of risks and risk mitigation variables. Drawing from the standard framework, in this research a modified house of quality is developed to understand the relationships between various supply chain risks and risk mitigation variables. It helps to prioritize various risks and understand the current status of the supply chain and the deficient areas with regard to risk mitigation capabilities. The structured QFD process provides the supply chain managers a conceptual map that enables the improvement of planning and control of various risks that could impact a supply chain.

Development of a supply chain risk mitigation index for distillery

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
P. Raghuram ◽  
Perumalla Sandeep ◽  
V. Raja Sreedharan ◽  
Tarik Saikouk
Keyword(s):  
Supply Chain ◽  
Literature Review ◽  
Risk Mitigation ◽  
Business Environment ◽  
Mitigation Strategies ◽  
Extensive Literature ◽  
Supply Chain Risk ◽  
Content Type ◽  
Order Of Magnitude ◽  
Supply Chain Risks

PurposeA huge number of events can affect the operations of a long and complicated supply chain. This paper deals with the development of a supply chain risk mitigation index (SCRMI) based on a risk mitigation maturity framework. A comprehensive list of supply chain risks has been ascertained and segregated into risks faced at various supply chain echelons through a detailed literature review.Design/methodology/approachThis paper is based on an extensive literature review and questionnaire to identify risks. order of magnitude analytic hierarchy process (OM-AHP) was used as the methodology to assess the prioritization of supply chain risks under two clusters, viz., Probability and severity leading to risk were tested in a distillery.FindingsSCRMI was determined and used to categorize their maturity level in facing supply chain risks. Thus, organization can focus on improvements for their specific needs.Research limitations/implicationsThe model was tested in the distillery industry. It should be tested in other contexts with other methods to provide generalizability.Practical implicationsThis research provides direction to managers for choosing risk mitigation strategies based on the global supply chain environment. SCRMI can be a performance metric for the supply chain managers.Originality/valueThe manufacturer's readiness to take action in the face of disruptions in the supply chain is a critical challenge in today's complex business environment and SCRMI framework is instrumental in such business environment.

scholarly journals Using IoT in Supply Chain Risk Management, to Enable Collaboration between Business, Community, and Government

Smart Cities ◽  
2021 ◽  
Vol 4 (3) ◽  
pp. 995-1003
Author(s):  
Li Meng
Keyword(s):  
Social Media ◽  
Risk Management ◽  
Supply Chain ◽  
Risk Mitigation ◽  
Value Added ◽  
Business Community ◽  
Supply Chain Risk Management ◽  
Supply Chain Risk ◽  
Business Services ◽  
Difficult Times

The internet of things (IoT) and social media provide information related to disasters that could help businesses to strategically mitigate risks and optimize their supply chain during difficult times. This paper proposes a framework to show how business or supply chain enterprisers can collaborate with community and government in disaster supply chain risk management. Businesses must have an established risk mitigation plan, update it periodically and implement promptly. Community collaboration can build a resilient society, and government should play an important role in leading both financial and non-financial support during natural disasters and pandemic management. The IoT and social media are new mechanisms as a vocal point to enable government, ensuring trustworthiness of information, to provide the community with a means to express needs and feedback, and to assist business services to meet the changeable preferences under risk threats. Social media can be a collaborative effort between all the parties and helps make value added decisions efficiently in supply chain risk management.

Sign in / Sign up

Export Citation Format

Share Document