A global supply chain model with transfer pricing and transportation cost allocation

2001 ◽  
Vol 129 (1) ◽  
pp. 134-158 ◽  
Author(s):  
Carlos J. Vidal ◽  
Marc Goetschalckx
Keyword(s):  
Supply Chain ◽  
Cost Allocation ◽  
Transfer Pricing ◽  
Transportation Cost ◽  
Global Supply Chain ◽  
Chain Model ◽  
Supply Chain Model

scholarly journals The PACTUM model: Product analysis of cost and time using mathematics

2014 ◽  
Vol 05 (supp01) ◽  
pp. 1441004
Author(s):  
Daniel J. Easters
Keyword(s):  
Supply Chain ◽  
Product Lifecycle Management ◽  
Global Supply Chain ◽  
Chain Model ◽  
Model Structure ◽  
Product Analysis ◽  
Development Activity ◽  
Supply Chain Model ◽  
Research Findings ◽  
Lifecycle Management

Establishing a mathematical supply-chain model is a proposition that has received attention due to its inherent benefits of evolving global supply-chain efficiencies. This paper discusses the prevailing relationships found within apparel supply-chain environments, and contemplates the complex issues indicated for constituting a mathematical model. Principal results identified within the data suggest, that the multifarious nature of global supply-chain activities require a degree of simplification in order to fully dilate the necessary factors which affect, each subsection of the chain. Subsequently, the research findings allowed the division of supply-chain components into subsections, which amassed a coherent method of product development activity. Concurrently, the supply-chain model was found to allow systematic mathematical formulae analysis, of cost and time, within the multiple contexts of each subsection encountered. The paper indicates the supply-chain model structure, the mathematics, and considers how product analysis of cost and time can improve the comprehension of product lifecycle management.

scholarly journals Optimization of a Five-Echelon Supply Chain Network using Particle Swarm Intelligence Algorithms

2019 ◽  
Vol 8 (9) ◽  
pp. 2015-2022
Keyword(s):  
Supply Chain ◽  
Swarm Intelligence ◽  
Production Systems ◽  
Particle Swarm ◽  
Transportation Cost ◽  
Chain Model ◽  
Business Organizations ◽  
Particle Swarm Intelligence ◽  
Supply Chain Model ◽  
The Right

Technology has shrunk the global markets and information is accessible very quickly and effortlessly. Business organizations world over concentrate on their production systems to improve the quality of the end product, well distribute the product and optimize cost of resources. Transportation cost, inventory carrying cost and shortage costs constitute the major costs in cost of distribution. A competent supply chain always strives to manufacture the right quantity of end products and hold a minimum inventory across the entire supply chain. In thecurrent paper, a five echelon supply chain model is developed and it is optimized using particle swarm intelligence algorithm.

The Research of United Scheduling and Coordination in Three-Layer Supply Chain Model

2011 ◽  
Vol 341-342 ◽  
pp. 369-373
Author(s):  
He Ping Zhang
Keyword(s):  
Supply Chain ◽  
Global Economy ◽  
Rapid Development ◽  
Dynamic Programming Algorithm ◽  
Transportation Cost ◽  
Service Level ◽  
Programming Algorithm ◽  
Chain Model ◽  
Supply Chain Model ◽  
Total Transportation Cost

With the rapid development of the global economy, more and more enterprises emphasize on the coordination with the partners to improve the supply chain competitive capability. This paper focuses on the united scheduling of the three-layer supply chain and the coordination mechanisms of agile supply chain. The objective is to minimize the total transportation cost and improve the customer’s service level, which is achieved by scheduling the jobs and delivering them to the next stage in batches. Based on the features of the optimal scheduling, a dynamic programming algorithm is proposed.

scholarly journals Mathematical model of the feedback between global supply chain disruption and COVID-19 dynamics

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Xingyu Li ◽  
Amin Ghadami ◽  
John M. Drake ◽  
Pejman Rohani ◽  
Bogdan I. Epureanu
Keyword(s):  
Mathematical Model ◽  
Supply Chain ◽  
Care Delivery ◽  
Global Supply Chain ◽  
Economic Losses ◽  
Chain Model ◽  
Supply Chain Disruption ◽  
Disease Networks ◽  
Resource Allocation Strategy ◽  
The Impact

AbstractThe pandemic of COVID-19 has become one of the greatest threats to human health, causing severe disruptions in the global supply chain, and compromising health care delivery worldwide. Although government authorities sought to contain the spread of SARS-CoV-2, by restricting travel and in-person activities, failure to deploy time-sensitive strategies in ramping-up of critical resource production exacerbated the outbreak. Here, we developed a mathematical model to analyze the effects of the interaction between supply chain disruption and infectious disease dynamics using coupled production and disease networks built on global data. Analysis of the supply chain model suggests that time-sensitive containment strategies could be created to balance objectives in pandemic control and economic losses, leading to a spatiotemporal separation of infection peaks that alleviates the societal impact of the disease. A lean resource allocation strategy can reduce the impact of supply chain shortages from 11.91 to 1.11% in North America. Our model highlights the importance of cross-sectoral coordination and region-wise collaboration to optimally contain a pandemic and provides a framework that could advance the containment and model-based decision making for future pandemics.

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