Analyzing the impact of intermodal-related risk to the design and management of biofuel supply chain

2014 ◽  
Vol 69 ◽  
pp. 122-145 ◽  
Author(s):  
Mohammad Marufuzzaman ◽  
Sandra D. Eksioglu ◽  
Xiaopeng Li ◽  
Jin Wang
Keyword(s):  
Supply Chain ◽  
Biofuel Supply Chain ◽  
Related Risk ◽  
The Impact

Analyzing the supply chain risk issues for an Indian manufacturing company

2014 ◽  
Vol 11 (2) ◽  
pp. 144-162 ◽  
Author(s):  
Sudeep Kumar Pradhan ◽  
Srikanta Routroy
Keyword(s):  
Risk Management ◽  
Supply Chain ◽  
Business Practices ◽  
Manufacturing Companies ◽  
Supply Chain Risk ◽  
Content Type ◽  
Related Risk ◽  
Manufacturing Supply Chain ◽  
Manufacturing Company ◽  
The Impact

Purpose – The purpose of this paper is to identify, analyze, assess and manage the risks issues involved in an Indian manufacturing supply chain. The paper also shows the direction to use the proposed comprehensive risk management framework in different manufacturing supply chain. Design/methodology/approach – The various risks for an Indian manufacturing company are identified through brainstorming session held with managers and engineers. The risks are categorized (i.e. delivery performance; process capability; demand and supply fluctuation at supplier end; rework; and business practices) and the domain (i.e. supplier, manufacturer and customer) of each risk is also identified for further analysis. A Failure Mode and Effect Analysis is used to rank the impact of all the relevant risks associated with various risk categories and the action plans are suggested by proposing a risk treatment process. Findings – The degree of impact of each relevant risk is determined and is used for deriving managerial insights. Through Pareto analysis, it is concluded that top 20 percent risk factors are coming from supplier and organization domain. It is interesting to note that no relevant risk related to customer domain is appearing in top 20 percent. It is also found that 54 percent risk is coming from supplier-related risk domain and 46 percent risk exists in the organization-related risk domain among top 20 percent risk. Research limitations/implications – This study is restricted to only one Indian manufacturing company. Therefore, the outcomes of the study should not be generalized. Further studies may be carried out for several Indian manufacturing industries to get more generalized impact of risks, its validity and their variation across the different manufacturing companies. Practical implications – The simplicity and clarity of the proposed framework provides step-by-step approach for identifying, categorizing and managing risks involved in the supply chain. It also provides the guidelines for a manager to benchmark and update risk handling in a specific manufacturing environment with its own priority considerations. Originality/value – Although many literatures are available related to supply chain risk management, the proposed approach provides a better practical generic platform to understand, manage, reduce and mitigate the risks involved along the manufacturing supply chain.

The Impact of a Potential Public/Private Initiative on a Defined Region of the South Suburban Chicago Metropolitan Area

2019 ◽  
pp. 14-32
Keyword(s):  
Supply Chain ◽  
Economic Impact ◽  
Impact Analysis ◽  
Census Data ◽  
Economic Benefits ◽  
Local Economy ◽  
Market Area ◽  
State And Local ◽  
The University ◽  
The Impact

The university is considered one of the engines of growth in a local economy or its market area, since its direct contributions consist of 1) employment of faculty and staff, 2) services to students, and supply chain links vendors, all of which define the University’s Market area. Indirect contributions consist of those agents associated with the university in terms of community and civic events. Each of these activities represent economic benefits to their host communities and can be classified as the economic impact a university has on its local economy and whose spatial market area includes each of the above agents. In addition are the critical links to the University, which can be considered part of its Demand and Supply chain. This paper contributes to the field of Public/Private Impact Analysis, which is used to substantiate the social and economic benefits of cooperating for economic resources. We use Census data on Output of Goods and Services, Labor Income on Salaries, Wages and Benefits, Indirect State and Local Taxes, Property Tax Revenue, Population, and Inter-Industry to measure economic impact (Implan, 2016).

The Impact of E-Procurement Systems in the Biomedical Industry

2020 ◽  
Vol 27 (2) ◽  
pp. 66
Author(s):  
A. Seetharaman ◽  
Nitin Patwa ◽  
Simon Lai Koek Wai ◽  
Ahammed Shamir
Keyword(s):  
Supply Chain ◽  
Cost Savings ◽  
The Internet ◽  
Business Analytics ◽  
Process Automation ◽  
Short Term ◽  
Compliance Cost ◽  
Biomedical Industry ◽  
The Impact

The evolution of the Internet has revolutionised the sourcing and procurement processes in organisations in every industry. The focus of this paper is to analyse the perception of business users on the factors which impact the usage of eprocurement systems in the biomedical industry. There are four factors identified in this research: i.e. control and compliance, cost savings, process automation, and improvements and transparency. The benefit of achieving process automation is the first biggest factor, followed by the need for control and compliance, and transparency, being the second and third factors respectively. The fourth factor, cost savings, is ignored because the users perceived that cost savings will not be realised in the short term, and the returns from the investment could be a couple of years after the eprocurement system has been fully operational. The research also concludes that the ability to perform business analytics and to strengthen the supply chain are the most important factors in measuring the success in the adoption of e-procurement systems

The Impact of COVID-19 on Supply Chain Credit Risk

2020 ◽  
Author(s):  
Senay Agca ◽  
John R. Birge ◽  
Zi'ang Wang ◽  
Jing Wu
Keyword(s):  
Supply Chain ◽  
Credit Risk ◽  
The Impact

An empirical examination of firm financial performance along dimensions of supply chain resilience

2017 ◽  
Vol 40 (3) ◽  
pp. 254-269 ◽  
Author(s):  
Xun Li ◽  
Qun Wu ◽  
Clyde W. Holsapple ◽  
Thomas Goldsby
Keyword(s):  
Supply Chain ◽  
Financial Performance ◽  
Three Dimensions ◽  
Empirical Examination ◽  
Content Type ◽  
Supply Chain Resilience ◽  
Critical Dimensions ◽  
Firm Financial Performance ◽  
Supply Chain Agility ◽  
The Impact

Purpose This paper aims to investigate the impact of three critical dimensions of supply chain resilience, supply chain preparedness, supply chain alertness and supply chain agility, all aimed at increasing a firm’s financial outcomes. In a turbulent environment, firms require resilience in their supply chains to prepare for potential changes, detect changes and respond to actual changes, thus providing superior value. Design/methodology/approach Using survey data from 77 firms, this study develops scales for preparedness, alertness and agility. It then tests their hypothesized relationships with a firm’s financial performance. Findings The results reveal that the three dimensions of supply chain resilience (i.e. preparedness, alertness and agility) significantly impact a firm’s financial performance. It is also found that supply chain preparedness, as a proactive resilience capability, has a greater influence on a firm’s financial performance than the reactive capabilities including alertness and agility, suggesting that firms should pay more attention to proactive approaches for building supply chain resilience. Originality/value First, this study develops a comparatively comprehensive definition for supply chain resilience and explores its dimensionality. Second, this study provides empirically validated instruments for the dimensions of supply chain resilience. Third, this study is one of the first to provide empirical evidence for direct impact of supply chain resilience dimensions on a firm’s financial performance.

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