scholarly journals Evaluating LNG Supply Chain Resilience Using SWOT Analysis: The Case of Qatar

Energies ◽  
2021 ◽  
Vol 15 (1) ◽  
pp. 79
Author(s):  
Sara Al-Haidous ◽  
Mohammed Al-Breiki ◽  
Yusuf Bicer ◽  
Tareq Al-Ansari
Keyword(s):  
Supply Chain ◽  
Swot Analysis ◽  
New Technologies ◽  
Liquefied Natural Gas ◽  
Decision Makers ◽  
Management Model ◽  
Supply Chain Resilience ◽  
Four Dimensions ◽  
Swot Matrix

The demand for liquefied natural gas (LNG) as an energy commodity is increasing, although its respective supply chain is subjected to risks, uncertainties, and disturbances. An analysis of experiences from the global LNG supply chain highlights many of these risks. As such, there is an incumbent need to develop resilient LNG supply chains. In this study, the risks associated with the LNG supply chain are categorized into four dimensions: Political and regulatory, safety and security, environmental effects, and reliability of new technologies. A SWOT method is then implemented to identify strengths, weaknesses, opportunities, and threats within the LNG supply chain, where the LNG supply chain of Qatar is considered as a case study. Relevant strategies are then recommended using a SWOT matrix to maximize strengths and opportunities, while avoiding or minimizing weaknesses and threats within the LNG supply chain. Finally, major parameters to be considered to develop a resilient LNG management model are listed based on the level of priority from LNG producer and receiver perspectives. Thus, as part of creating a robust LNG supply chain, decision-makers and stakeholders are urged to use the learnings from the SWOT analysis and experiences from LNG supply chain management.

scholarly journals Supply chain resilience in a developing country context: a case study on the interconnectedness of threats, strategies and outcomes

2017 ◽  
Vol 22 (6) ◽  
pp. 486-505 ◽  
Author(s):  
Benjamin Tukamuhabwa ◽  
Mark Stevenson ◽  
Jerry Busby
Keyword(s):  
Supply Chain ◽  
Developing Country ◽  
Large Scale ◽  
Empirical Studies ◽  
Small Scale ◽  
Supply Network ◽  
Catastrophic Events ◽  
Content Type ◽  
Supply Chain Resilience

Purpose In few prior empirical studies on supply chain resilience (SCRES), the focus has been on the developed world. Yet, organisations in developing countries constitute a significant part of global supply chains and have also experienced the disastrous effects of supply chain failures. The purpose of this paper is therefore to empirically investigate SCRES in a developing country context and to show that this also provides theoretical insights into the nature of what is meant by resilience. Design/methodology/approach Using a case study approach, a supply network of 20 manufacturing firms in Uganda is analysed based on a total of 45 interviews. Findings The perceived threats to SCRES in this context are mainly small-scale, chronic disruptive events rather than discrete, large-scale catastrophic events typically emphasised in the literature. The data reveal how threats of disruption, resilience strategies and outcomes are inter-related in complex, coupled and non-linear ways. These interrelationships are explained by the political, cultural and territorial embeddedness of the supply network in a developing country. Further, this embeddedness contributes to the phenomenon of supply chain risk migration, whereby an attempt to mitigate one threat produces another threat and/or shifts the threat to another point in the supply network. Practical implications Managers should be aware, for example, of potential risk migration from one threat to another when crafting strategies to build SCRES. Equally, the potential for risk migration across the supply network means managers should look at the supply chain holistically because actors along the chain are so interconnected. Originality/value The paper goes beyond the extant literature by highlighting how SCRES is not only about responding to specific, isolated threats but about the continuous management of risk migration. It demonstrates that resilience requires both an understanding of the interconnectedness of threats, strategies and outcomes and an understanding of the embeddedness of the supply network. Finally, this study’s focus on the context of a developing country reveals that resilience should be equally concerned both with smaller in scale, chronic disruptions and with occasional, large-scale catastrophic events.

Innovative Practice and Supply Chain Resilience during COVID-19 Pandemic: A case study in Thailand

2021 ◽  
Author(s):  
Duangpun Kritchanchai ◽  
Pheaktra Doung ◽  
Chanrong Khem ◽  
Sirirat Srisakunwan
Keyword(s):  
Supply Chain ◽  
Supply Chain Resilience ◽  
Innovative Practice

scholarly journals Significance of multi-objective optimization in logistics problem for multi-product supply chain network under the intuitionistic fuzzy environment

2021 ◽  
Author(s):  
Srikant Gupta ◽  
Ahteshamul Haq ◽  
Irfan Ali ◽  
Biswajit Sarkar
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Real Life ◽  
Decision Makers ◽  
Supply Chain Network ◽  
Multi Objective ◽  
Intuitionistic Fuzzy ◽  
Fuzzy Environment ◽  
Hierarchical Decision

AbstractDetermining the methods for fulfilling the continuously increasing customer expectations and maintaining competitiveness in the market while limiting controllable expenses is challenging. Our study thus identifies inefficiencies in the supply chain network (SCN). The initial goal is to obtain the best allocation order for products from various sources with different destinations in an optimal manner. This study considers two types of decision-makers (DMs) operating at two separate groups of SCN, that is, a bi-level decision-making process. The first-level DM moves first and determines the amounts of the quantity transported to distributors, and the second-level DM then rationally chooses their amounts. First-level decision-makers (FLDMs) aimed at minimizing the total costs of transportation, while second-level decision-makers (SLDM) attempt to simultaneously minimize the total delivery time of the SCN and balance the allocation order between various sources and destinations. This investigation implements fuzzy goal programming (FGP) to solve the multi-objective of SCN in an intuitionistic fuzzy environment. The FGP concept was used to define the fuzzy goals, build linear and nonlinear membership functions, and achieve the compromise solution. A real-life case study was used to illustrate the proposed work. The obtained result shows the optimal quantities transported from the various sources to the various destinations that could enable managers to detect the optimum quantity of the product when hierarchical decision-making involving two levels. A case study then illustrates the application of the proposed work.

scholarly journals SWOT analysis and its interaction with strategic planning in companies

2019 ◽  
pp. 1-6
Author(s):  
Ma. Leticia Almanza-Serran ◽  
Nélida Carmona-García ◽  
Alejandro Ramírez-Barajas
Keyword(s):  
Supply Chain ◽  
Strategic Planning ◽  
Swot Analysis ◽  
Situational Analysis ◽  
Important Process ◽  
Small Company ◽  
Design And Implementation ◽  
Use Of Data ◽  
A Company

Strategic planning allows organizations to visualize and build their future and can be conceptualized as an important process to help determine the major purposes of an organization. Therefore, the case study presented is referred to a company in the telecommunications sector, considered as a small company because of the number of people working in it, but due to the wide market it would be considered within the medium-sized company, it started operations Without considering strategic planning, therefore the growth phase in which it is located, is representing a serious problem, since it has not been able to determine the areas of opportunity it has to achieve the goal of staying in the market and continuing to be part of the supply chain for regional companies. Therefore, one of the fundamental parts of strategic planning is precisely the situational analysis, also known as SWOT analysis, which allows the collection and use of data, which makes it possible to know the operating profile of an organization at a given time, since it favors the development and execution of formal planning, from there an objective diagnosis is established for the design and implementation of strategies that help improve the competitiveness of said company.

scholarly journals ON ARTIFICIAL INTELLIGENCE TALENT CULTIVATION IN CHINA FROM CASE STUDY

2021 ◽  
Author(s):  
XIAO-LONG LI
Keyword(s):  
Artificial Intelligence ◽  
Case Analysis ◽  
Decision Makers ◽  
Research Centers ◽  
Incentive Mechanisms ◽  
Four Dimensions ◽  
Academic Conference ◽  
Similarities And Differences

Through the case analysis of Carnegie Mellon University in the field of artificial intelligence in America. the similarities and differences of the above university in artificial intelligence talent cultivation were obtained from four dimensions: length of learning and degree, enrollment requirements, staff force construction and the offered curriculum. The conclusion could support the suggestions and advice for domestic policymakers and decision makers as follows: to promulgate the document of artificial intelligence talent cultivation pertinently as the guideline; to promote the new institutes construction of artificial intelligence and update the research centers of artificial intelligence; to improve the supporting incentive mechanisms such as scholarships, competitions and academic conference grants for the students in the direction of artificial intelligence.

scholarly journals Design of Visibility for Order Lifecycle using Datawarehouse

2019 ◽  
Vol 8 (6) ◽  
pp. 4700-4707
Keyword(s):  
Health Care ◽  
Supply Chain ◽  
Data Warehouse ◽  
Historical Data ◽  
Decision Makers ◽  
Health Care Education ◽  
Business Decisions ◽  
The Public ◽  
Design Considerations

Data warehouse, shortly called DW, a repository to store historical data was widely used across organizations for analyzing the data for any business decisions to be decided. It acts as a decision support system, which will help the decision makers to provide any conclusion based on the analyzed data. DW can be used across any particular fields in the public domain. Some of them would include Retail, Insurance, Finance, Sales, Services, Health Care, Education, etc. This paper analyses and proposes the datawarehouse design considerations for the supply chain. The design was explained with a detailed case study on understanding the visibility of sales order at various stages.

Evaluating Supply Chain Resource Limits From News Articles and Earnings Call Transcripts: An Application of Integrated Factor Analysis and Analytical Network Process

2020 ◽  
Author(s):  
Chih-Yuan Chu ◽  
Elif E. Gunay ◽  
Omar Al-Araidah ◽  
Gül E. Kremer
Keyword(s):  
Factor Analysis ◽  
Supply Chain ◽  
Supply Chains ◽  
Decision Makers ◽  
Analytical Network Process ◽  
Supply Chain Resilience ◽  
Latent Constructs ◽  
Textual Data ◽  
Network Process ◽  
The Impact

Abstract Due to the impact of globalization, companies have extended their borders across nations to launch products more competitively. However, globalization affects various uncertainties and risks that may limit the performance of supply chains. Research indicates that models that incorporate uncertainties and risks will help to improve the resilience of global supply chains. In the era of technology, we experience the abundance of textual data from various web-media resources related to companies, which can be deployed to understand the impact of risks on the chain. Accordingly, this study aims to utilize textual data collected from news articles and earnings call transcripts to assess the vulnerability of the suppliers and the chain. Among many, we considered supply chain resource limits as a subcomponent of vulnerability and collected textual data associated with its sub-factors. Then, we proposed an integrated factor analysis and Analytical Network Process (ANP) method to model the company’s supply chain resource limits index. Specifically, factor analysis was used to determine the latent constructs of the variables that are grouped under resource limits and their correlations. This latent construct and correlations were then applied as the interdependencies among variables in the ANP to discover the final importance weights of the variables in terms of supply chain resource limits. The results of the study showed that the shortages of capacity, components, and energy supply are the most critical sub-factors. The company’s supply chain resource limits index (SCRLI) can be further calculated to assist decision-makers of an enterprise in supply chain configuration design, and improve the supply chain resilience.

Strategic Development of a Decision Making Support System in a Public R&D Center

2011 ◽  
Vol 3 (2) ◽  
pp. 32-43 ◽  
Author(s):  
Carlos E. Escobar-Toledo ◽  
Héctor A. Martínez-Berumen
Keyword(s):  
Decision Making ◽  
New Technologies ◽  
Systems Approach ◽  
Decision Makers ◽  
Strategic Development ◽  
Organizational Functions ◽  
Transition Plan ◽  
Reliable Methods

Decision making in new technologies is a crucial activity to raise competitiveness, especially for technology organizations. The decision-making process requires the use of information technology tools, since the information amount is large and requires reliable methods for collecting, accessing, storing, processing, distributing, and evaluating, in order to provide reliable information to decision makers. The strategy of an organization must take into account the integration of this aspect with other organizational functions. This paper presents a proposal to integrate new elements into the IT strategy, considering the interactions with other organizational functions, defining an implementation and transition plan that takes into account the organization dynamics, which has limited resources and, therefore, requires a gradual and long term transition plan. This paper refers as case study to a Mexican Public R&D Center, which has re-engineered its operating model with a systems approach.

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