scholarly journals Integration house of risk and analytical network process for supply chain risk mitigation of cassava opak chips industry

2018 ◽  
Vol 218 ◽  
pp. 04022 ◽  
Author(s):  
Nurul Ummi ◽  
Putro Ferro Ferdinant ◽  
Ade Irman M.S ◽  
Akbar Gunawan
Keyword(s):  
Supply Chain ◽  
Risk Mitigation ◽  
Risk Control ◽  
Analytic Network Process ◽  
Mitigation Measures ◽  
Business Growth ◽  
Supply Chain Risk ◽  
Network Process ◽  
Fmea Method ◽  
Risk Potential

Supply chain risk is difficult to predict and cause losses that will affect business growth. Supply chain management is a method used for risk control by being used in the cassava industry supply chain. This objective is to determine the risks that will occur and potentially disrupt the supply chain, to determine the risk agent sequence from the Aggregate Risk Potential (ARP) score, and to determine priority mitigation actions. This study uses integration methods. (HOR), and Analytic Network Process (ANP) with pareto diagrams and method-based ratings. The SCOR method is used to map supply chain activities and classify supply chain activities. Meanwhile, the HOR method is used in identifying risk events and risk agents, as well as assessments based on the assessment of the FMEA method. The output of the HOR method is the ARP score used for the priority of the risk agent. Pareto diagrams are used in the priority of risk agents that must be immediately addressed based on the ARP score. The ANP method is used to determine the priority of mitigation actions. Based on this study, researchers obtained 21 risk events and 30 risk agents with 17 risk agents including priority risk agents and 13 non-priority risk agents, and 10 mitigation measures.

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.

scholarly journals Risk and Supply Chain Mitigation Analysis Using House of Risk Method and Analytical Network Process (A Case Study on Palm Oil Company)

The Winners ◽  
2021 ◽  
Vol 22 (2) ◽  
Author(s):  
Shelvy Kurniawan ◽  
Denny Marzuky ◽  
Rio Ryanto ◽  
Vanny Agustine
Keyword(s):  
Supply Chain ◽  
Palm Oil ◽  
Risk Mitigation ◽  
Analytic Network Process ◽  
West Kalimantan ◽  
East Kalimantan ◽  
Preventive Actions ◽  
Network Process ◽  
Supply Chain Risks

This research studied PT XYZ, a company engaged in the palm oil industry which has eleven subsidiaries spread across five provinces in Indonesia, namely North Kalimantan, West Kalimantan, East Kalimantan, Central Kalimantan, and South Sumatra. The research focused on analyzing supply chain risks in PT A, a subsidiary of PT XYZ.. The objective was to find out and reduce unexpected costs that the company may experience caused by the risks in supply chain. Furthermore, the aim was to determine priority of risk agents and risk mitigation actions. The research method was a mixed methods, which combined both qualitative and quantitative analysis to answer the research questions. Data analysis procedure involved Supply Chain Operations Reference (SCOR), House of Risk (HOR) 1 and Analytic Network Process (ANP). The SCOR method was used for mapping supply chain activities, the HOR 1 was to determine the priority of the risk agent, and the ANP was to determine the priority of mitigation actions. The results show that there are 36 risk events and 35 risk agents. 19 risk agents are categorized as priority risks and 11 preventive actions are proposed to be implemented by PT XYZ. The research suggests that the company implement mitigation actions according to priority in accordance with the research results, for example, by improving the condition of the main garden road.

scholarly journals Measuring the Environmental Maturity of the Supply Chain Finance: A Big Data-Based Multi-Criteria Perspective

Logistics ◽  
2021 ◽  
Vol 5 (2) ◽  
pp. 22
Author(s):  
Hisham Alidrisi
Keyword(s):  
Big Data ◽  
Supply Chain ◽  
Multicriteria Decision Making ◽  
Analytic Network Process ◽  
Assessment Model ◽  
Self Assessment ◽  
Interpretive Structural Modeling ◽  
Supply Chain Finance ◽  
Network Process ◽  
Order Preference

This paper presents a strategic roadmap to handle the issue of resource allocation among the green supply chain management (GSCM) practices. This complex issue for supply chain stakeholders highlights the need for the application of supply chain finance (SCF). This paper proposes the five Vs of big data (value, volume, velocity, variety, and veracity) as a platform for determining the role of GSCM practices in improving SCF implementation. The fuzzy analytic network process (ANP) was employed to prioritize the five Vs by their roles in SCF. The fuzzy technique for order preference by similarity to ideal solution (TOPSIS) was then applied to evaluate GSCM practices on the basis of the five Vs. In addition, interpretive structural modeling (ISM) was used to visualize the optimum implementation of the GSCM practices. The outcome is a hybrid self-assessment model that measures the environmental maturity of SCF by the coherent application of three multicriteria decision-making techniques. The development of the Basic Readiness Index (BRI), Relative Readiness Index (RRI), and Strategic Matrix Tool (SMT) creates the potential for further improvements through the integration of the RRI scores and ISM results. This hybrid model presents a practical tool for decision-makers.

scholarly journals Using the Analytical Network Process to Select the Best Strategy for Reducing Risks in a Supply Chain

2013 ◽  
Vol 2013 ◽  
pp. 1-9 ◽  
Author(s):  
L. Hosseini ◽  
R. Tavakkoli-Moghaddam ◽  
B. Vahdani ◽  
S. M. Mousavi ◽  
R. Kia
Keyword(s):  
Supply Chain ◽  
Multicriteria Decision Making ◽  
Analytic Network Process ◽  
Supply Chain Network ◽  
Total Quality ◽  
Analytic Hierarchy ◽  
Network Process ◽  
Supply Chain Risks ◽  
Hierarchy Process ◽  
Different Levels

This paper considers four types of the most prominent risks in the supply chain. Their subcriteria and relations between them and within the network are also considered. In a supply chain, risks are mostly created by fluctuations. The aim of this study is to adopt a strategy for eliminating or reducing risks in a supply chain network. Having various solutions helps the supply chain to be resilient. Therefore, five alternatives are considered, namely, total quality management (TQM), leanness, alignment, adaptability, and agility. This paper develops a new network of supply chain risks by considering the interactions between risks. Perhaps, the network elements have interacted with some or all of the factors (clusters) or subfactors. We constitute supply chain risks in the analytic network process (ANP), which attracted less attention in the previous studies. Most of the studies about making a decision in supply chains have been applied in analytic hierarchy process (AHP) network. The present study considers the ANP as a well-known multicriteria decision making (MCDM) technique to choose the best alternative, because of the interdependency and feedbacks of different levels of the network. Finally, the ANP selects TQM as the best alternative among the considered ones.

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.

Schedule and cost overrun analysis for R&D projects using ANP and system dynamics

2017 ◽  
Vol 34 (9) ◽  
pp. 1551-1567 ◽  
Author(s):  
Sandeep Kumar ◽  
J.J. Thakkar
Keyword(s):  
System Dynamics ◽  
Risk Mitigation ◽  
Analytic Network Process ◽  
Raw Material ◽  
Design Stage ◽  
Economic Factors ◽  
Cost Overrun ◽  
Individual Factor ◽  
Content Type ◽  
Network Process

Purpose Schedule and cost overrun analysis for a typical research & development (R&D) project is necessary to identify and mitigate the non-feasible alternatives at the design stage. Typically, this should include an analysis of technological and economic factors of R&D project. This paper aims to discuss these issues. Design/methodology/approach This research proposes an integrated analytic network process (ANP) and reusable system dynamics (SD) model for a quick and strategically consistent decision making. The technological and economic factors of R&D project were first identified and compiled through a systematic literature review. An ANP model was first developed for calculating Risk Priority Index (RPI) for set of technological and economic factors. The computed RPI are considered as an input to SD models. Two SD models (technological and economic) are developed to undertake a detailed investigation on effect of individual factor on schedule and cost overrun. The approach is exemplified for a case of government R&D project in India. Findings ANP identifies “Testing & qualification facility” and “Raw material availability” as the highest RPI factors. A detailed sensitivity analysis of SD models suggests that technological factors such as “Design Changes,” “Hidden Activities,” and “Lack of Expertise” and economic factors such as “Project delays,” “Unexpected incidents” and “Conflicts” have the highest influence on schedule and cost overrun. Practical implications The outcomes of this research can help managers to estimate the severity of various technological and economic factors on cost and schedule overrun and develop an adequate risk mitigation contingency plan. Originality/value In case of R&D projects where systems are being developed for the first time, changes are inevitable, and hence schedule and cost management plays a very important role in its success. This paper proposes an integrated reusable approach of ANP and SD for analyzing the influence of technological and economic factors on schedule and cost overrun of R&D project.

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