Capacity Allocation Policy of Third Party Warehousing Based on Revenue Optimization

2007 ◽  
Author(s):  
C. Lin ◽  
B. Shuai ◽  
Q. Huang
Keyword(s):  
Capacity Allocation ◽  
Third Party ◽  
Revenue Optimization ◽  
Allocation Policy

scholarly journals A Robust Optimization of Capacity Allocation Policies in the Third-Party Warehouse

2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
Xu Xian-hao ◽  
Dong Wei-hong ◽  
Peng Hongxia
Keyword(s):  
Robust Optimization ◽  
Revenue Management ◽  
Optimization Technique ◽  
Capacity Allocation ◽  
Third Party ◽  
Management Problem ◽  
Robust Methods ◽  
Numerical Examples ◽  
The Third ◽  
Management Perspective

We study the capacity allocation policies of a third-party warehouse center, which supplies several different level services on different prices with fixed capacity, on revenue management perspective. For the single period situation, we use three different robust methods, absolute robust, deviation robust, and relative robust method, to maximize the whole revenue. Then we give some numerical examples to verify the practical applicability. For the multiperiod situation, as the demand is uncertain, we propose a stochastic model for the multiperiod revenue management problem of the warehouse. A novel robust optimization technique is applied in this model to maximize the whole revenue. Then we give some numerical examples to verify the practical applicability of our method.

Development of a “Fair” Marketplace for On-Demand Capacity Matching

2020 ◽  
Vol 2674 (3) ◽  
pp. 46-56
Author(s):  
Georgia Aifadopoulou ◽  
Ioannis Mallidis ◽  
Dimitrios Vlachos ◽  
Josep Maria Salanova Grau ◽  
Eleftherios Iakovou
Keyword(s):  
Supply Chain ◽  
Capacity Allocation ◽  
Third Party ◽  
Excess Capacity ◽  
Third Party Logistics ◽  
Supply Chain Disruptions ◽  
Contract Price ◽  
On Demand ◽  
Contractual Agreements ◽  
Optimization Methodology

Variability of demand along with issues of seasonality and supply chain disruptions may lead to significant variations between the planned and required capacities of warehouse facilities. This further leads to the rise of on-demand capacity allocation issues, with supply chain stakeholders seeking to outsource their excess capacity requirements to independent warehouses. As this matching usually occurs through freight forwarders or third-party logistics operators, who may have contractual agreements with specific warehouse operators within a region, issues of bias occur with respect to the price that capacity demanders pay. In this context, this paper proposes an optimization methodology, implemented by a neutral e-marketplace, for optimizing the matches between manufacturers and warehouses under a “market-fair” contract price for both, while taking into account the market’s demand/supply ratio.

scholarly journals Addressing Bandwidth-Driven Flow Allocationin RINA

Computers ◽  
2020 ◽  
Vol 9 (3) ◽  
pp. 63 ◽  
Author(s):  
Michal Koutenský ◽  
Vladimír Veselý ◽  
Vincenzo Maffione
Keyword(s):  
Quality Of Service ◽  
Network Flow ◽  
Capacity Allocation ◽  
Effective Capacity ◽  
Allocation Policy ◽  
Flexible Control ◽  
Service Guarantees ◽  
Link Data ◽  
Standing Problem

Effective capacity allocation is essential for a network to operate properly, providing predictable quality of service guarantees and avoiding bottlenecks. Achieving capacity allocation fairness is a long-standing problem extensively researched in the frame of transport and network layer protocols such as TCP/IP. The Recursive InterNetwork Architecture offers programmable policies that enable more flexible control on the mechanics of network flow allocation. In this paper, we present our version of one of these policies, which provides flow allocation according to the bandwidth requirements of requesting applications. We implement the bandwidth-aware flow allocation policy by extending rlite, an open source RINA implementation. Our evaluation shows how the policy can prevent links from becoming oversaturated and use alternate paths to achieve high total link data-rate use.

Incorporating Economic Assessment into Capacity Allocation and Infrastructure Charging Policies for Vertically-Separated Railways

2018 ◽  
Vol 2672 (10) ◽  
pp. 188-201
Author(s):  
Aleksandr Prodan ◽  
Paulo F. Teixeira
Keyword(s):  
Cost Benefit Analysis ◽  
Cost Benefit ◽  
Economic Assessment ◽  
Capacity Allocation ◽  
Societal Costs ◽  
Allocation Policy ◽  
Pricing Policies ◽  
Access Charges ◽  
The Impact

Capacity allocation mechanisms and infrastructure access charges in vertically separated railways generally consider only the points of view of the train operator and infrastructure manager. External and other societal costs are not considered in setting these policies and in evaluating their impact on each player. This work proposes a methodological framework for evaluating impacts of capacity allocation and infrastructure pricing policies on society by applying a set of project evaluation guidelines that is normally used for new infrastructure projects to a set of capacity allocation and pricing policies. These guidelines use a cost–benefit analysis to evaluate the project and then understand the impact on each industry player and on society. A case study of the ScanMed corridor is used, looking at a congested section over the Oresund Bridge. The case study evaluates proposed capacity allocation mechanisms that prioritize either passenger or freight traffic. The results of this evaluation show the total impact of a particular policy on each player, including society. External costs are also considered in this evaluation. This approach can be used by decision makers to make more informed decisions when setting infrastructure charging and capacity allocation policy.

The many faces of obligation

2020 ◽  
Vol 43 ◽  
Author(s):  
Michael Tomasello
Keyword(s):  
Third Party ◽  
The Many ◽  
Sense Of Obligation

Abstract My response to the commentaries focuses on four issues: (1) the diversity both within and between cultures of the many different faces of obligation; (2) the possible evolutionary roots of the sense of obligation, including possible sources that I did not consider; (3) the possible ontogenetic roots of the sense of obligation, including especially children's understanding of groups from a third-party perspective (rather than through participation, as in my account); and (4) the relation between philosophical accounts of normative phenomena in general – which are pitched as not totally empirical – and empirical accounts such as my own. I have tried to distinguish comments that argue for extensions of the theory from those that represent genuine disagreement.

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