scholarly journals Research on Computer Simulation Evaluation based on Risk Impact Analysis and Mitigation Strategy of Waste Disposal Reverse Supply Chain Disruption

2021 ◽  
Vol 1992 (3) ◽  
pp. 032079
Author(s):  
Jiang Zou ◽  
Yujia Chen
Keyword(s):  
Computer Simulation ◽  
Supply Chain ◽  
Waste Disposal ◽  
Impact Analysis ◽  
Mitigation Strategy ◽  
Reverse Supply Chain ◽  
Supply Chain Disruption ◽  
Simulation Evaluation

On the Applicability of Analytical Supply Chain Disruption Models for Selecting the Optimum Contingency Strategies for Electronic Supply Chain Disruption Management: A Comparison With Simulation

2014 ◽  
Author(s):  
Hannah Allison ◽  
Peter Sandborn ◽  
Bo Eriksson
Keyword(s):  
Supply Chain ◽  
Mitigation Strategy ◽  
Mitigation Strategies ◽  
Analytical Models ◽  
Supply Chain Disruption ◽  
Simulation Based ◽  
Disruption Mitigation ◽  
The Impact ◽  
Selection Of

Due to the nature of the manufacturing and support activities associated with long life cycle products, the parts that products required need to be dependably and consistently available. However, the parts that comprise long lifetime products are susceptible to a variety of supply chain disruptions. In order to minimize the impact of these unavoidable disruptions to production, manufacturers can implement proactive mitigation strategies. Two mitigation strategies in particular have been proven to decrease the penalty costs associated with disruptions: second sourcing and buffering. Second sourcing involves selecting two distinct suppliers from which to purchase parts over the life of the part’s use within a product or organization. Second sourcing reduces the probability of part unavailability (and its associated penalties), but at the expense of qualification and support costs for multiple suppliers. An alternative disruption mitigation strategy is buffering (also referred to as hoarding). Buffering involves stocking enough parts in inventory to satisfy the forecasted part demand (for both manufacturing and maintenance requirements) for a fixed future time period so as to offset the impact of disruptions. Careful selection of the mitigation strategy (second sourcing, buffering, or a combination of the two) is key, as it can dramatically impact a part’s total cost of ownership. This paper studies the effectiveness of traditional analytical models compared to a simulation-based approach for the selection of an optimal disruption mitigation strategy. A verification case study was performed to check the accuracy and applicability of the simulation-based model. The case study results show that the simulation model is capable of replicating results from operations research models, and overcomes significant scenario restrictions that limit the usefulness of analytical models as decision-making tools. Four assumptions, in particular, severely limit the realism of most analytical models but do not constrain the simulation-based model. These limiting assumptions are: 1) no fixed costs associated with part orders, 2) infinite-horizon, 3) perfectly reliable backup supplier, and 4) disruptions lasting full ordering periods (as opposed to fractional periods).

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).

Analysis of the Supply Chain Disruption Risks in the Malaysian Automotive Remanufacturing Industry-a Case Study

2020 ◽  
Vol 12 (05) ◽  
Author(s):  
Nuramilawahida Mat Ropi ◽  
◽  
Hawa Hishamuddin ◽  
Dzuraidah Abd Wahab ◽  
◽  
...  
Keyword(s):  
Supply Chain ◽  
Supply Chain Disruption ◽  
Disruption Risks

Identification of the Barriers of Reverse Supply Chain

2020 ◽  
Author(s):  
Sunil Sunil ◽  
Dharmanshu Kumar ◽  
Udit Mehta ◽  
Rakesh Kumar
Keyword(s):  
Supply Chain ◽  
Reverse Supply Chain
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