The Impact of Cost Based Pricing Rules on Capacity Planning Under Uncertainty

2000 ◽  
Author(s):  
Robert F. Göx
Keyword(s):  
Capacity Planning ◽  
Planning Under Uncertainty ◽  
Pricing Rules ◽  
The Impact

scholarly journals Integrated facility location and capacity planning under uncertainty

2021 ◽  
Vol 40 (5) ◽  
Author(s):  
Isabel Correia ◽  
Teresa Melo
Keyword(s):  
Facility Location ◽  
Capacity Planning ◽  
Demand Uncertainty ◽  
Computational Study ◽  
Minimum Cost ◽  
Planning Horizon ◽  
Planning Under Uncertainty ◽  
Planning Capacity ◽  
The Impact ◽  
Customer Demands

AbstractWe address a multi-period facility location problem with two customer segments having distinct service requirements. While customers in one segment receive preferred service, customers in the other segment accept delayed deliveries as long as lateness does not exceed a pre-specified threshold. The objective is to define a schedule for facility deployment and capacity scalability that satisfies all customer demands at minimum cost. Facilities can have their capacities adjusted over the planning horizon through incrementally increasing or reducing the number of modular units they hold. These two features, capacity expansion and capacity contraction, can help substantially improve the flexibility in responding to demand changes. Future customer demands are assumed to be unknown. We propose two different frameworks for planning capacity decisions and present a two-stage stochastic model for each one of them. While in the first model decisions related to capacity scalability are modeled as first-stage decisions, in the second model, capacity adjustments are deferred to the second stage. We develop the extensive forms of the associated stochastic programs for the case of demand uncertainty being captured by a finite set of scenarios. Additional inequalities are proposed to enhance the original formulations. An extensive computational study with randomly generated instances shows that the proposed enhancements are very useful. Specifically, 97.5% of the instances can be solved to optimality in much shorter computing times. Important insights are also provided into the impact of the two different frameworks for planning capacity adjustments on the facility network configuration and its total cost.

scholarly journals Corporate Income Shifting in an Era of Tax Multilateralism: The Impact of Exchange-of-Information Agreements

2021 ◽  
Vol 69 (2) ◽  
pp. 357-389
Author(s):  
Devan Mescall ◽  
Paul Nielsen
Keyword(s):  
Multinational Corporations ◽  
Multinational Enterprises ◽  
Transfer Pricing ◽  
Empirical Studies ◽  
Annual Reports ◽  
Income Shifting ◽  
Exchange Of Information ◽  
Pricing Rules ◽  
Using Data ◽  
The Impact

Using data from the annual reports of over 100,000 subsidiaries of multinational enterprises (MNEs) from 55 countries between 2003 and 2012, the authors of this article investigate the impact of exchange-of-information agreements ("EOI agreements") on tax-motivated income shifting. Transparency created by the signing of EOI agreements is expected to reduce the tax-motivated shifting of income by multinational corporations. Whether such agreements affect the income-shifting behaviour of multinational corporations is an unanswered question. The authors find evidence that, on average, EOI agreements do have an impact on tax-motivated income shifting. Additionally, they find that more advanced, modern EOI agreements are associated with a larger decrease in tax-motivated income shifting compared to the impact of early EOI agreements. This evidence challenges the prevalent assumption in empirical studies that EOI agreements are homogeneous. Supplemental analyses suggest that factors that affect the information asymmetry between MNEs and tax authorities, such as corporations with high levels of intangibles and tax authorities with strong transfer-pricing rules and enforcement, can diminish or enhance the effectiveness of EOI agreements in moderating tax-motivated income shifting. The evidence provided by this study shows that consideration of the tax authorities' information environment and the substance of an EOI agreement is essential when assessing the impact of such an agreement on the tax behaviour of sophisticated taxpayers such as multinational corporations.

scholarly journals Robust capacity planning for accident and emergency services

2020 ◽  
Vol 54 (6) ◽  
pp. 1757-1773
Author(s):  
Elvan Gökalp
Keyword(s):  
Capacity Planning ◽  
Emergency Services ◽  
Simulation Optimization ◽  
Patient Flow ◽  
Waiting Times ◽  
Model Parameters ◽  
Planning Problem ◽  
Accident And Emergency ◽  
Number Of Patients ◽  
The Impact

Accident and emergency departments (A&E) are the first place of contact for urgent and complex patients. These departments are subject to uncertainties due to the unplanned patient arrivals. After arrival to an A&E, patients are categorized by a triage nurse based on the urgency. The performance of an A&E is measured based on the number of patients waiting for more than a certain time to be treated. Due to the uncertainties affecting the patient flow, finding the optimum staff capacities while ensuring the performance targets is a complex problem. This paper proposes a robust-optimization based approximation for the patient waiting times in an A&E. We also develop a simulation optimization heuristic to solve this capacity planning problem. The performance of the approximation approach is then compared with that of the simulation optimization heuristic. Finally, the impact of model parameters on the performances of two approaches is investigated. The experiments show that the proposed approximation results in good enough solutions.

scholarly journals The Value of Local Heatwave Impact Assessment: A Case-Crossover Analysis of Hospital Emergency Department Presentations in Tasmania, Australia

2019 ◽  
Vol 16 (19) ◽  
pp. 3715 ◽  
Author(s):  
Sharon L. Campbell ◽  
Tomas A. Remenyi ◽  
Grant J. Williamson ◽  
Christopher J. White ◽  
Fay H. Johnston
Keyword(s):  
Emergency Department ◽  
Capacity Planning ◽  
Conditional Logistic Regression ◽  
Hospital Emergency Department ◽  
Hospital Emergency ◽  
Case Crossover ◽  
Crossover Analysis ◽  
The Impact ◽  
The Relationship ◽  
Local Research

Heatwaves have been identified as a threat to human health, with this impact projected to rise in a warming climate. Gaps in local knowledge can potentially undermine appropriate policy and preparedness actions. Using a case-crossover methodology, we examined the impact of heatwave events on hospital emergency department (ED) presentations in the two most populous regions of Tasmania, Australia, from 2008–2016. Using conditional logistic regression, we analyzed the relationship between ED presentations and severe/extreme heatwaves for the whole population, specific demographics including age, gender and socio-economic advantage, and diagnostic conditions that are known to be impacted in high temperatures. ED presentations increased by 5% (OR 1.05, 95% CI 1.01–1.09) across the whole population, by 13% (OR 1.13, 95% CI 1.03–1.24) for children 15 years and under, and by 19% (OR 1.19, 95% CI 1.04–1.36) for children 5 years and under. A less precise association in the same direction was found for those over 65 years. For diagnostic subgroups, non-significant increases in ED presentations were observed for asthma, diabetes, hypertension, and atrial fibrillation. These findings may assist ED surge capacity planning and public health preparedness and response activities for heatwave events in Tasmania, highlighting the importance of using local research to inform local practice.

Building hospital capacity planning mechanisms in Poland: The impact of 2016/2017 regulatory changes

2018 ◽  
Vol 33 (2) ◽  
pp. e403-e415 ◽  
Author(s):  
Katarzyna Dubas‐Jakóbczyk ◽  
Christoph Sowada ◽  
Alicja Domagała ◽  
Barbara Więckowska
Keyword(s):  
Capacity Planning ◽  
Hospital Capacity ◽  
Regulatory Changes ◽  
Hospital Capacity Planning ◽  
The Impact

scholarly journals How Elastic Demand Affects Bidding Strategy in Electricity Market: An Auction Approach

Energies ◽  
2018 ◽  
Vol 12 (1) ◽  
pp. 9 ◽  
Author(s):  
Debin Fang ◽  
Qiyu Ren ◽  
Qian Yu
Keyword(s):  
Market Power ◽  
Electricity Market ◽  
Bidding Strategy ◽  
Elastic Demand ◽  
Demand Distribution ◽  
Transmission Cost ◽  
Pricing Rules ◽  
Bidding Price ◽  
Bidding Mechanism ◽  
The Impact

The deepening of electricity reform results in increasingly frequent auctions and the surge of generators, making it difficult to analyze generators’ behaviors. With the difficulties to find analytical market equilibriums, approximate equilibriums were obtained instead in previous studies by market simulations, where in some cases the results are strictly bound to the initial estimations and the results are chaotic. In this paper, a multi-unit power bidding model is proposed to reveal the bidding mechanism under clearing pricing rules by employing an auction approach, for which initial estimations are non-essential. Normalized bidding price is introduced to construct generators’ price-related bidding strategy. Nash equilibriums are derived depending on the marginal cost and the winning probability which are computed from bidding quantity, transmission cost and demand distribution. Furthermore, we propose a comparative analysis to explore the impact of uncertain elastic demand on the performance of the electricity market. The result indicates that, there exists market power among generators, which lead to social welfare decreases even under competitive conditions but elastic demand is an effective way to restrain generators’ market power. The feasibility of the models is verified by a case study. Our work provides decision support for generators and a direction for improving market efficiency.

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