scholarly journals Understanding the Last Mile Transportation Concept Impacting Underserved Global Communities to Save Lives During COVID-19 Pandemic

2021 ◽  
Vol 2 ◽  
Author(s):  
Erick C. Jones ◽  
Gohar Azeem ◽  
Erick C. Jones ◽  
Felicia Jefferson ◽  
Marcia Henry ◽  
...  
Keyword(s):  
Supply Chain ◽  
National Science Foundation ◽  
Underserved Populations ◽  
The Elderly ◽  
Government Agencies ◽  
Chain Model ◽  
Last Mile ◽  
Supply Chain Model ◽  
National Science ◽  
The Impact

The underserved population could be at risk during the times of crisis, unless there is strong involvement from government agencies such as local and state Health departments and federal Center for Disease Control (CDC). The COVID-19 pandemic was a crisis of different proportion, creating a different type of burden on government agencies. Vulnerable communities including the elderly populations and communities of color have been especially hard hit by this pandemic. This forced these agencies to change their strategies and supply chains to support all populations receiving therapeutics. The National Science Foundation [National Science Foundation (NSF) Award Abstract # 2028612] funded RAID Labs to help federal agencies with strategies. This paper is based on a NSF funded grant to work on investigating supply chain strategies that would minimize the impact on underserved populations during pandemic. This NSF funded study identified the phenomena of last mile importance. The last mile transportation concept was critical in saving lives during the pandemic for underserved populations. The supply chain model then maximizes social goods by sending drugs or vaccines to the communities that need it the most regardless of ability to pay. The outcome of this study helped us prioritize the communities that need the vaccines the most. This informs our supply chain model to shift resources to these areas showing the value in real time prioritization of the COVID-19 supply chain. This paper provides information can be used in our healthcare supply chain model to ensure timely delivery of vaccines and supplies to COVID-19 patients that are the most vulnerable and hence the overall impact of COVID-19 can be minimized. The use of electrical vehicles for last mile transportation can help in significantly fighting the climate change.

scholarly journals Study of the Bullwhip Effect in a Multistage Supply Chain with Callback Structure considering Two Retailers

Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-12 ◽  
Author(s):  
Junhai Ma ◽  
Liqing Zhu ◽  
Ye Yuan ◽  
Shunqi Hou
Keyword(s):  
Supply Chain ◽  
Moving Average ◽  
Bullwhip Effect ◽  
Lead Times ◽  
Chain Model ◽  
Supply Chain System ◽  
Forecasting Method ◽  
Supply Chain Model ◽  
The Impact ◽  
Demand Processes

With the purpose of researching the bullwhip effect when there is a callback center in the supply chain system, this paper establishes a new supply chain model with callback structure, which has a material supplier, a manufacture, and two retailers. The manufacture and retailers all employ AR(1) demand processes and use order-up-to inventory policy when they make order decisions. Moving average forecasting method is used to measure the bullwhip effect of each retailer and manufacture. We investigate the impact of lead-times of retailers and manufacture, forecasting precision, callback index, and marketing share on the bullwhip effect of both retailers and manufacture. Then we use the method of numerical simulation to indicate the different parameters in this supply chain. Furthermore, this paper puts forward some suggestions to help the enterprises to control the bullwhip effect in the supply chain with callback structure.

Decision-Making Coordination within Three-Echelon Supply Chains

2011 ◽  
pp. 93-107
Author(s):  
Jairo R. Montoya-Torres
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Process Simulation ◽  
Simulation Models ◽  
Chain Model ◽  
Total System ◽  
Direct Relation ◽  
Supply Chain Model ◽  
Brownian Process ◽  
The Impact

Supply chain performance is highly influenced by the coordination level between its members, which needs information sharing. In this paper we consider a three-echelon direct sell supply chain model and focus on the problem of coordinated decision-making between its members. Our contribution is a first approach that measures the impact of the degree of coordination between the members. Demand behavior is modeled using a geometric Brownian process. Simulation models are run in order to analyze various cooperation scenarios. Our results show a direct relation between the degree of coordination within the supply chain and the total system cost. Although this result is intuitive, our simulations allowed us to quantify such a relation and in which measure these costs are whether or not associated to imperfect coordination.

Information Sharing in Supply Chain Management with Demand Uncertainty

2011 ◽  
pp. 44-62 ◽  
Author(s):  
Zhensen Huang ◽  
Aryya Gangopadhyay
Keyword(s):  
Supply Chain ◽  
Information Sharing ◽  
Demand Uncertainty ◽  
Bullwhip Effect ◽  
Supply Chain Performance ◽  
Chain Model ◽  
Simulation Approach ◽  
Supply Chain Model ◽  
Trading Partners ◽  
The Impact

Information sharing is a major strategy to counteract the amplification of demand fluctuation going up the supply chain, known as the bullwhip effect. However, sharing information through interorganizational channels can raise concerns for business management from both technical and commercial perspectives. The existing literature focuses on examining the value of information sharing in specific problem environments with somewhat simplified supply chain models. The present study takes a simulation approach in investigating the impact of information sharing among trading partners on supply chain performance in a comprehensive supply chain model that consists of multiple stages of trading partners and multiple players at each stage.

scholarly journals Consumer Panic Buying: Realizing Its Consequences and Repercussions on the Supply Chain

2021 ◽  
Vol 13 (8) ◽  
pp. 4370
Author(s):  
Rithika Dulam ◽  
Kazuo Furuta ◽  
Taro Kanno
Keyword(s):  
Supply Chain ◽  
Consumer Behavior ◽  
Supply Chains ◽  
Purchase Intention ◽  
Chain Model ◽  
Output Analysis ◽  
Agent Based ◽  
Supply Chain Model ◽  
Media Reports ◽  
The Impact

Globalization has brought not only advantages but also risks into the supply chains. One lesser studied risk is the effect of consumer behavior in crises. The recent COVID-19 pandemic has shown that the most efficient and optimized supply chains are susceptible to consumer panic buying. There is a severe need to understand the multitude of scenarios that could manifest after a catastrophe due to the change in consumer behavior so that businesses can develop a mitigation plan. The authors have developed an agent-based model that can simulate the various outcomes of a crisis using a consumer panic buying model and a supply chain model. The model quantitatively evaluates the panic purchase intention of a consumer while assessing the impact of panic buying on the supply chain. This paper introduces the implementation of the model, focusing on output analysis of the various situational settings in disaster aftermath. Preliminary study has revealed that implementing quota policy or rationing uniformly is very effective while controlling media reports or panic buying consumers can reduce consumer demand significantly.

scholarly journals Evolution of the migratory supply chain model

2015 ◽  
Vol 20 (6) ◽  
pp. 603-612 ◽  
Author(s):  
Andrew Potter ◽  
Denis R Towill ◽  
Martin Christopher
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Original Work ◽  
Future Research ◽  
Chain Model ◽  
Content Type ◽  
Supply Chain Model ◽  
The Impact ◽  
Practical Implications

Purpose – The purpose of this paper is to reflect upon the impact of the original work and provide an updated model to reflect the changing environment for supply chains. In 2000, a migratory model for supply chain evolution was proposed. Design/methodology/approach – The authors start by analysing the content of the papers that have cited the original Christopher and Towill (2000) paper. The development of an updated migratory model is informed by the findings from this, and then demonstrated through a case study of the book supply chain. Findings – Despite being the major contribution, the majority of citing papers actually use other parts of the original work, and some potential reasons for this are proposed. An extra stage is added to the migratory model, reflecting a customer centric strategy. Research limitations/implications – Given that the migratory model appears under-researched, the authors identify this as an opportunity for future research and suggest that methods less common in supply chain management are used. Practical implications – The updated migratory model can be used by supply chain managers to develop appropriate supply chain strategies for their organisations, while emphasising that many of the underlying tools to enable this reflect traditional industrial engineering approaches. Originality/value – The updated migratory model represents a new contribution to understanding the evolution of supply chains.

scholarly journals Research on the Impact of 3D Printing on the International Supply Chain

2016 ◽  
Vol 2016 ◽  
pp. 1-16 ◽  
Author(s):  
Zhen Chen
Keyword(s):  
Supply Chain ◽  
3D Printing ◽  
Industrial Structure ◽  
Chain Model ◽  
Supply Chain Model ◽  
Transport Volume ◽  
Traditional Processing ◽  
The Impact ◽  
Dynamics Method ◽  
Universal Application

In recent years 3D printing technology is developing rapidly. In the foreseeable future, when 3D printing is widely used, the world’s industrial structure will be greatly changed. Based on the actual data, this paper constructs an international supply chain model using system dynamics method. And it simulates the reconstruction trend of the supply chain after 3D printing application. The conclusion shows that the universal application of 3D printing will lead to the worldwide transport volume shrinking dramatically. The manufacturing activities will gradually outflow to the countries which are closer to the final customers. The relevant countries should carry out feasible measures to face this opportunity and challenge. The measures include the reform of logistics facilities, the logistics cooperation with the origin of 3D printing materials, and the matched transportation of 3D printing materials and traditional processing ones.

scholarly journals Revenue Distribution of Hybrid Channel Supply Chain Based on Modified Shapley Value with Cost

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Jin Sha ◽  
Sisi Zheng
Keyword(s):  
Supply Chain ◽  
Shapley Value ◽  
Chain Model ◽  
The Shapley Value ◽  
Online Retailers ◽  
Supply Chain Model ◽  
Shapley Values ◽  
Object Of Study ◽  
The Cost ◽  
The Impact

The reasonable distribution of revenue determines not only the coordination but also the development of supply chain. A hybrid channel supply chain model composed of manufacturer and traditional and online retailers was identified as the object of study, decision models under different cooperation modes were built, different revenues of supply chain members and overall were analyzed, satisfaction of characteristic function required by the Shapley value was proved, and the Shapley values of revenue distribution were calculated. In view of the shortcoming of the Shapley value method which takes contribution margin as the only consideration and ignores the impact of other factors such as cost on revenue distribution, the cost correction model was built by using production and sales cost to modify the traditional Shapley value; the reasonable distribution of individual benefits under the premise of maximizing the overall revenue of hybrid channel supply chain was realized.

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