Assessing the Supply Chain Efficiency of Hardwood Sawmills in New York State through Case Study Analysis and Data Envelopment Analysis Modeling

2014 ◽  
Vol 64 (3-4) ◽  
pp. 90-96 ◽  
Author(s):  
Patrick C. Penfield ◽  
René Germain ◽  
William Smith
Keyword(s):  
New York ◽  
Supply Chain ◽  
Data Envelopment Analysis ◽  
New York State ◽  
Data Envelopment ◽  
Study Analysis ◽  
York State ◽  
Case Study Analysis ◽  
Supply Chain Efficiency

Measuring Performance of a Three-Stage Network Structure Using Data Envelopment Analysis and Nash Bargaining Game: A Supply Chain Application

2018 ◽  
Vol 17 (05) ◽  
pp. 1429-1467 ◽  
Author(s):  
Mohammad Amirkhan ◽  
Hosein Didehkhani ◽  
Kaveh Khalili-Damghani ◽  
Ashkan Hafezalkotob
Keyword(s):  
Supply Chain ◽  
Data Envelopment Analysis ◽  
Nash Bargaining ◽  
Data Envelopment ◽  
Second Stage ◽  
Proposed Model ◽  
Nash Bargaining Game ◽  
Dea Models ◽  
Overall Efficiency

The issue of efficiency analysis of network and multi-stage systems, as one of the most interesting fields in data envelopment analysis (DEA), has attracted much attention in recent years. A pure serial three-stage (PSTS) process is a specific kind of network in which all the outputs of the first stage are used as the only inputs in the second stage and in addition, all the outputs of the second stage are applied as the only inputs in the third stage. In this paper, a new three-stage DEA model is developed using the concept of three-player Nash bargaining game for PSTS processes. In this model, all of the stages cooperate together to improve the overall efficiency of main decision-making unit (DMU). In contrast to the centralized DEA models, the proposed model of this study provides a unique and fair decomposition of the overall efficiency among all three stages and eliminates probable confusion of centralized models for decomposing the overall efficiency score. Some theoretical aspects of proposed model, including convexity and compactness of feasible region, are discussed. Since the proposed bargaining model is a nonlinear mathematical programming, a heuristic linearization approach is also provided. A numerical example and a real-life case study in supply chain are provided to check the efficacy and applicability of the proposed model. The results of proposed model on both numerical example and real case study are compared with those of existing centralized DEA models in the literature. The comparison reveals the efficacy and suitability of proposed model while the pitfalls of centralized DEA model are also resolved. A comprehensive sensitivity analysis is also conducted on the breakdown point associated with each stage.

Management of personal protective equipment during the COVID-19 pandemic in England and the state of New York: A comparative case study

2020 ◽  
Vol 18 (7) ◽  
pp. 71-89
Author(s):  
Amy Barber, BSc ◽  
Annaëlle Vinzent, BS ◽  
Imani Williams, BA
Keyword(s):  
New York ◽  
Supply Chain ◽  
Health Systems ◽  
Personal Protective Equipment ◽  
New York State ◽  
The United States ◽  
Mitigation Strategies ◽  
Comparative Case Study ◽  
Protective Equipment

Background: The COVID-19 crisis placed extraordinary demands on the supply of personal protective equipment (PPE) at the beginning of 2020. These were coupled with shocks to the supply chain resulting from the disease. Many typically well-resourced health systems faced subsequent shortages of equipment and had to implement new strategies to manage their stocks. Stockpiles of protective equipment were held in both the United States and United Kingdom intended to prevent shortages. Method: Cross-comparative case study approach by applying Pettigrew and Whipp’s framework for change management. Setting: The health systems of England and New York state from January 2020 to the end of April 2020. Results: Both cases reacted slowly to their outbreaks and faced problems with supplying enough PPE to their health systems. Their stockpiles were not enough to prevent shortages, with many distribution problems resulting from inadequate governance mechanisms. No sustainable responses to supply disruptions were implemented during the study period in either case. Health systems planned interventions along each part of the supply chain from production and importing, to usage guidelines. Conclusion: Global supply chains are vulnerable to disruptions caused by international crises, and existing mitigation strategies have not been wholly successful. The existence of stockpiles is insufficient to preventing shortages of necessary equipment in clinical settings. Both the governance and quality of stockpiles, as well as distribution channels are important for preventing shortages. At the time of writing, it is not possible to judge the strength of strategies adopted in these cases.

Levelised cost of energy analysis for offshore wind farms – A case study of the New York State development

2021 ◽  
Vol 239 ◽  
pp. 109923
Author(s):  
Yibo Liang ◽  
Yu Ma ◽  
Haibin Wang ◽  
Ana Mesbahi ◽  
Byongug Jeong ◽  
...  
Keyword(s):  
New York ◽  
Energy Analysis ◽  
New York State ◽  
Wind Farms ◽  
Offshore Wind ◽  
State Development ◽  
Offshore Wind Farms ◽  
York State ◽  
Cost Of Energy

scholarly journals A Data Envelopment Analysis Approach to Supply Chain Efficiency

2011 ◽  
Vol 2011 ◽  
pp. 1-8 ◽  
Author(s):  
Alireza Amirteimoori ◽  
Leila Khoshandam
Keyword(s):  
Supply Chain ◽  
Data Envelopment Analysis ◽  
Lead Times ◽  
Data Envelopment ◽  
Competitive Strategies ◽  
Usual Procedure ◽  
Supply Chain Efficiency ◽  
Efficiency Decomposition ◽  
Low Costs ◽  
Effective Design

Supply chain management is an important competitive strategies used by modern enterprises. Effective design and management of supply chains assists in the production and delivery of a variety of products at low costs, high quality, and short lead times. Recently, data envelopment analysis (DEA) has been extended to examine the efficiency of supply chain operations. Due to the existence of intermediate measures, the usual procedure of adjusting the inputs or outputs, as in the standard DEA approach, does not necessarily yield a frontier projection. The current paper develops a DEA model for measuring the performance of suppliers and manufacturers in supply chain operations. Additive efficiency decomposition for suppliers and manufacturers in supply chain operations is proposed.

Evaluation of Supply Chain Efficiency Based on a Novel Network of Data Envelopment Analysis Model

2015 ◽  
Vol 25 (14) ◽  
pp. 1540036 ◽  
Author(s):  
Li Fang Fu ◽  
Jun Meng ◽  
Ying Liu
Keyword(s):  
Supply Chain ◽  
Data Envelopment Analysis ◽  
Decision Makers ◽  
Data Envelopment Analysis Model ◽  
Data Envelopment ◽  
Undesirable Outputs ◽  
Analysis Model ◽  
Multilayer Network ◽  
Supply Chain Efficiency ◽  
Proposed Model

Performance evaluation of supply chain (SC) is a vital topic in SC management and inherently complex problems with multilayered internal linkages and activities of multiple entities. Recently, various Network Data Envelopment Analysis (NDEA) models, which opened the “black box” of conventional DEA, were developed and applied to evaluate the complex SC with a multilayer network structure. However, most of them are input or output oriented models which cannot take into consideration the nonproportional changes of inputs and outputs simultaneously. This paper extends the Slack-based measure (SBM) model to a nonradial, nonoriented network model named as U-NSBM with the presence of undesirable outputs in the SC. A numerical example is presented to demonstrate the applicability of the model in quantifying the efficiency and ranking the supply chain performance. By comparing with the CCR and U-SBM models, it is shown that the proposed model has higher distinguishing ability and gives feasible solution in the presence of undesirable outputs. Meanwhile, it provides more insights for decision makers about the source of inefficiency as well as the guidance to improve the SC performance.

scholarly journals A Case Study of Anomalous Snowfall with an Alberta Clipper

2017 ◽  
Vol 2017 ◽  
pp. 1-14
Author(s):  
Scott M. Rochette ◽  
Patrick S. Market ◽  
Chad M. Gravelle ◽  
Thomas A. Niziol
Keyword(s):  
New York ◽  
Great Lakes ◽  
New York State ◽  
Vertical Motion ◽  
Limited Time ◽  
Heavy Snowfall ◽  
York State ◽  
Fast Motion

An Alberta clipper moved over western New York state on 11-12 January 2004, producing snowfall amounts of up to 27 cm in portions of the region during a roughly 12-h period. In addition, lightning and thunder were reported. Such systems, known primarily for their fast motion and relatively dry nature, are not generally associated with significant snowfalls. A postmortem analysis of this event, following an ingredients-based methodology, revealed that as the weak low approached the lower Great Lakes, it came under the influence of coupled 300-hPa jets that produced enhanced divergence and significant upward vertical motion over western New York, resulting in the enhanced convective snowfall over the region for a limited time. Instability and possible enhancement via the Great Lakes are also investigated, which show that while there was at least modest instability over the region during the time of heavy snowfall, lake enhancement was unlikely.

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