Search Results for supply-chains
Abstract
Today, The World is living in a state of economic stagnation caused by the emerging (COVID-19), and the impact of the health crisis, as a result of preventive measures, has extended to the total closure and almost complete suspension of economic activities. This research aims to demonstrate the impact of the Corona pandemic (COVID-19) on supply chains, and the extent of the supply chain stumbling and its impact on the gross domestic product, as the research reached results, the most important of which is the presence of a clear stumble in supply chains, for the first and second quarters of the year (2020), which led To the decline in GDP and the volume of demand, and that agile supply chains can recover quickly from sudden setbacks, and as a result, the research recommends the need to modify supply chains to make them more flexible, and pay attention to the strategic level of risk management, as it is preferred for companies to reconsider the system and size of emergency stocks, to face A series of economic challenges resulting from abnormal conditions such as epidemics, or emerging infectious diseases such as the virus (COVID-19) and diversification of supply chains and storage systems practices.
Abstract
The aim of the research was to diagnose the role that knowledge management capabilities (operations and infrastructure) contribute to the response of supply chains with their various components (the response of the operations system, the response of logistics operations, the response of the network of processors), the Traffic Directorate in Nineveh Governorate was the research field chosen for the Applied side of the research, and the research community was represented by the employees of this Directorate, and a random sample of the research community was selected intentionally from the research community who work directly in providing services for issuing official documents to citizens (issuing and renewing market the questionnaire was the main tool in data collection, as (100) forms were distributed, (91) of which were retrieved valid for analysis, the descriptive analytical approach was also adopted in the research, and the statistical software (Smart PLS 4) was employed, including some statistical tests in testing research hypotheses, and one of the most prominent results of the research was the presence of different levels of influence exerted by the variables lying in this research in the approved variables.
Abstract
Sustainable supplier selection is an essential part of the decision-making process in sustainable supply chains. This choice is focusing on social, economic, and environmental criteria in evaluation of suppliers. Sustainable supplier selection approaches have used both qualitative and quantitative data. Therefore, it is meaningful to use scientific methods that treatment both quantitative and qualitative data, as well as multiple criteria.
Analytical network process (ANP) is a one of the important multi-criteria decisions –making approaches. Also, the ANP technique is a general form that allows possible independency among criteria factors. This paper aims to select the best suppliers using an (ANP) approach which helps decision-makers to reach the best strategy with correct decisions. Using ANP each criterion has its assign weight, which reflects its importance for the process of comparison between alternatives to suppliers. The presented approach consists of the three main steps: the first step is to identify the criteria used in the comparison process between suppliers, the second step is to identify the decision matrix using AHP and the third step is to construct the super matrix and limiting super matrix and compare between the alternatives, and rank them from the best to the worst through using ANP. This work has used the data as in [30] which represents data for a company that has four suppliers and five criteria. The results show that the best supplier is supplier 2, which has weight equal to 39%. Also, our results are matching the AHP result that is presented in [30]. Moreover, this work can be extended for future work using fuzzy environment and real application such as Iraqi oil companies.