scholarly journals Risk assessment model in inventory management using the AHP method

2020 ◽  
Vol 27 (3) ◽  
Author(s):  
Andréa Carla Monteiro Sales ◽  
Luciana Gondim de Almeida Guimarães ◽  
Alípio Ramos Veiga Neto ◽  
Walid Abbas El-Aouar ◽  
Glauber Ruan Pereira

Abstract: Identification and hierarchy of risks in inventory management allow mapping and generating a plan of actions in order to control them, diminish them or even extinguish them. This research aims to identify and measure the degree of importance of the main problems encountered in the sector of a metal production chain. The method used to develop this research is the Analytic Hierarchy Process (AHP), in order to hierarchize and thus defines the best way to manage risks. The main results of this study reveal that each area of the organization presents a risk that stands out in the management of inventories, allowing the company to control its expenses better, aligning itself with the companies' strategy of producing at the lowest cost. Excess consumption (demand), supplier delay (supply), and stock divergence (material handling) were highlighted as the major risks in their categories. This study revealed that in the category of demand risks, excess consumption was identified as the most critical risk, in the supply category, the supplier delay was identified at the highest risk and finally in the material handling category, the risk divergence of inventory obtained the highest percentage in relation to the other problems.

2011 ◽  
Vol 90-93 ◽  
pp. 3039-3042
Author(s):  
Bao Hua Liu

Based on the risk type classification of model development project, the paper used the analytic hierarchy process (AHP) method, established a AHP risk assessment model of development project, and described the risk assessment idea.


2020 ◽  
pp. 218-237 ◽  
Author(s):  
Haley Wing Chi Tsang ◽  
Wing Bun Lee ◽  
Eric Tsui

Intellectual Capital (IC) is becoming more widely understood by the academic and business communities, especially its important role in value creation of an organization. However, few people are aware that IC, if not managed properly, may also pose threats, sometime serious, to an organization. Knowledge leakage from an organization, for example, may come about when an experienced employee leaves for another job. Knowledge leakage is pervasive throughout an organization but is seldom noticed until the consequence is felt. This intellectual capital risk has to be systematically and effectively identified, assessed and controlled in the whole value chain of an organization. An AHP (Analytic Hierarchy Process) based multi-dimensional decision making and assessment model is developed to determine knowledge leakage risk in an organization.


2014 ◽  
Vol 1014 ◽  
pp. 552-555
Author(s):  
Xin Shi Li ◽  
You Cai Xu ◽  
Ran Tao ◽  
Shu Guo ◽  
Kun Li ◽  
...  

The tradition elevator risk assessment model depends on the expert experience, which causes that the assessment process takes a long time. To deal with this problem, this paper proposes a new risk assessment model which is based on fuzzy analytic hierarchy process (F-AHP) and artificial neural network (ANN). This model is applied to the risk-assessment of elevators. The results show that the assessment time is shorter and the accuracy is not lower, in comparison with the traditional model.


2016 ◽  
Vol 7 (3) ◽  
pp. 1-18 ◽  
Author(s):  
Haley Wing Chi Tsang ◽  
Wing Bun Lee ◽  
Eric Tsui

Intellectual Capital (IC) is becoming more widely understood by the academic and business communities, especially its important role in value creation of an organization. However, few people are aware that IC, if not managed properly, may also pose threats, sometime serious, to an organization. Knowledge leakage from an organization, for example, may come about when an experienced employee leaves for another job. Knowledge leakage is pervasive throughout an organization but is seldom noticed until the consequence is felt. This intellectual capital risk has to be systematically and effectively identified, assessed and controlled in the whole value chain of an organization. An AHP (Analytic Hierarchy Process) based multi-dimensional decision making and assessment model is developed to determine knowledge leakage risk in an organization.


2014 ◽  
Vol 644-650 ◽  
pp. 6269-6273
Author(s):  
Fa Jie Wei ◽  
Pan Pan Xie ◽  
Guo Lin Li

With large number of participants, tight development time, high technical standards, there is great uncertainty and risk during doing researching on Unmanned Aerial Vehicle (UAV for short). This article makes a count on the accidents’ data of the past 30 years and analyses the causes of these accidents, thus creating the comprehensive risk evaluation index system of the research on UAV. Based on analytic hierarchy process, the paper builds comprehensive Risk Assessment model and discusses the Risk Response System during the research on UAV to guide specific practices of Risk Management of UAV project.


2021 ◽  
Vol 9 (5) ◽  
Author(s):  
Zhou Chuanpeng ◽  
Zhang Yi

The emergence of "New Retail" produces a great impact on the inventory management of retail companies. Using ASY company as the study object, this paper calculates weights of factors affecting inventory management with the Analytic Hierarchy Process (AHP) method to obtain the weight data of each factor before and after the New Retail appears. On this basis, it analyzes how New Retail affects the inventory management of ASY company. Besides, it offers optimization strategies and effect feedback indicators for the following problems faced by this company: pay less attention to delivery method and management system; poor incentive polices for employees; lay less stress on FMCG; too many goods are distributed by manufacturers; heavy workload; increased impact generated by fund restrictions; little knowledge about New Retail; make little efforts to improve employees' learning and innovation ability.


2020 ◽  
Author(s):  
Sheng-Shan Chen ◽  
Han-Xiang Wang ◽  
Hao Jiang ◽  
Ya-Nan Liu ◽  
Yan-Xin Liu ◽  
...  

Abstract Casing corrosion during CO2 injection or storage results in significant economic loss and increased production risks. Therefore, in this paper, a corroded casing risk assessment model based on analytic hierarchy process and fuzzy comprehensive evaluation is established to identify potential risks in time. First, the corrosion rate and residual strength characteristics are analyzed through corrosion tests and numerical simulations, respectively, to determine the risk factors that may lead to an accident. Then, an index system for corroded casing risk evaluation is established based on six important factors: temperature, CO2 partial pressure, flow velocity, corrosion radius, corrosion depth and wellhead pressure. Subsequently, the index weights are calculated via the analytic hierarchy process. Finally, the risk level of corroded casing is obtained via the fuzzy comprehensive evaluation. The corroded casing risk assessment model has been verified by a case well, which shows that the model is valuable and feasible. It provides an effective decision-making method for the risk evaluation of corroded casing in CO2 injection well, which is conductive to improve the wellbore operation efficiency.


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