RISK RESPONSE STRATEGIES OF MALAYSIAN OIL PALM ESTATES FOR THE DOWNTURN IN CPO PRICES

2022 ◽  
Author(s):  
Nur Nadia Kamil
Keyword(s):  
Oil Palm ◽  
Risk Response ◽  
Response Strategies

scholarly journals Study on risk assessment of prefabricated construction supply chain based on AHP

2021 ◽  
Vol 275 ◽  
pp. 03083
Author(s):  
Keda Li ◽  
Weiwei Zhu
Keyword(s):  
Risk Assessment ◽  
Supply Chain ◽  
Index System ◽  
Risk Response ◽  
Response Strategies ◽  
Supply Chain Risks

According to the national “14th Five-Year Plan”, the goal of supply chain is to upgrade the industrial supply chain. This paper conducts research on the supply chain risks of prefabricated buildings. By identifying the risks in the supply chain of prefabricated buildings, an index system of the supply chain of prefabricated buildings is constructed, and the risk assessment of the supply chain of prefabricated buildings is conducted through AHP. This paper proposes risk response strategies for external risks, planning, procurement, manufacturing, transportation, and delivery.

A Multiobjective Optimization Approach for Selecting Risk Response Strategies of Software Project: From the Perspective of Risk Correlations

2019 ◽  
Vol 18 (01) ◽  
pp. 339-364 ◽  
Author(s):  
Dengsheng Wu ◽  
Xiaoqian Zhu ◽  
Jie Wan ◽  
Chunbing Bao ◽  
Jianping Li
Keyword(s):  
Risk Management ◽  
Optimization Model ◽  
Risk Exposure ◽  
Software Project ◽  
Optimization Approach ◽  
Response Cost ◽  
Risk Response ◽  
Response Strategies ◽  
Section Model ◽  
Software Risk

Studies on software risk response theories and methods play an important role in improving the success rate of software project. With the requirement of software risk management, the existing single-objective risk response strategies section model is difficult to manage software risks effectively. This paper regards software risk response cost and software risk exposure as optimization objectives and proposes a multiobjective risk response strategies optimization model for software project. Furthermore, it analyzes the risk correlation from the perspective of risk probability dependence and risk loss interaction and puts forward a multiobjective risk response strategies optimization model for software project from the perspective of risk correlation. Empirical analysis results show that there is a trade-off relationship between the software risk exposure and software risk response cost. The software manager can identify the corresponding optimal risk response strategies according to the actual risk response budget. The results also indicate that the consequence of the multiobjective risk response strategies optimization model for software project considering risk correlation can better describe the actual situation of risk management.

Generating project risk response strategies based on CBR: A case study

2015 ◽  
Vol 42 (6) ◽  
pp. 2870-2883 ◽  
Author(s):  
Zhi-Ping Fan ◽  
Yong-Hai Li ◽  
Yao Zhang
Keyword(s):  
Project Risk ◽  
Risk Response ◽  
Response Strategies

Ranking the risk categories in international projects using the TOPSIS method

2018 ◽  
Vol 11 (2) ◽  
pp. 317-331 ◽  
Author(s):  
Rahul Dandage ◽  
Shankar S. Mantha ◽  
Santosh B. Rane
Keyword(s):  
Project Success ◽  
Research Work ◽  
Risk Category ◽  
Successful Implementation ◽  
Topsis Method ◽  
Content Type ◽  
Risk Response ◽  
Response Strategies ◽  
International Projects ◽  
Risk Categories

Purpose The purpose of this paper is to review the risk categories which are predominant in international projects and to rank them according to their effect on project success. Design/methodology/approach A literature survey of peer-reviewed journal articles, survey reports and books on project management is used as the research methodology. One among the various multi-criteria decision making methods named as Technique for Order Preference by Similarity to the Ideal Solution (TOPSIS) has been used to rank the risk categories according to their importance. The data for TOPSIS were collected through questionnaire as the research instrument. Findings The findings derived from evaluation of the publications led to the identification of eight different types of risk categories associated with international projects. The TOPSIS method resulted into political risks, technical risks and design-related risks as the top three risk categories in international projects. Contractual and legal risks and fraudulent practices-related risks are relatively low-ranked risk category. Research limitations/implications The findings will be useful in successful implementation of international projects as the knowledge of risk categories and their ranking will help project manager to plan the risk response strategies. A larger sample size for decision makers and more variety of projects can give more exhaustive risk categories and their ranking. Practical implications This paper explores eight different risk categories in international projects. It represents the ranking of risk categories according to their importance in project success. This will be helpful to project managers for developing a general framework for planning the appropriate risk response strategies. Social implications Governments of many countries around the world are encouraging their industries to undertake and successfully complete projects in foreign countries. However, many industries experience failure in projects as they fail to implement the risk management (RM) effectively in international projects. This research work provides the risk categories in international projects and their ranking which can assist in developing strategies to respond the risk appropriately. Originality/value This paper uses the TOPSIS method for ranking major types of risk categories in international projects. It might represent new opportunities for rigorous and relevant research that would contribute to an in-depth knowledge of RM methodologies.

scholarly journals Risk Management in Road Construction Projects using Fuzzy Logic

2021 ◽  
Vol 9 (VI) ◽  
pp. 3759-3766
Author(s):  
Mahendra Kumar
Keyword(s):  
Risk Factors ◽  
Risk Management ◽  
Construction Projects ◽  
Road Construction ◽  
Risk Allocation ◽  
Risk Priority Number ◽  
Effect Analysis ◽  
Risk Response ◽  
Response Strategies ◽  
Complete Framework

This research presents a complete framework for managing risks in road construction projects using Fuzzy-Risk Failure mode & Effect Analysis (F-RFMEA) system. In this research risk management is done through undergoing five major steps: 1. Identification of risk factors through literature review and discussion with highway construction expert’s result in 61 risk factors are identified, which are categorized in 12 groups 2. Assessment of risk factors in terms of its occurrence, consequences on cost, time & quality and detectability through questionnaire survey. 3. Ranking of risk factors based on Risk Priority Number (RPN, function of occurrence, consequence and detectability of risk) using Fuzzy-MATLAB 4. Risk Allocation i.e. to whom risk should be allocated 5.Treating the risks by designing risk response strategies.

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