scholarly journals Dynamic impact of the structure of the supply chain of perishable foods on logistics performance and food security

2017 ◽  
Vol 10 (4) ◽  
pp. 687 ◽  
Author(s):  
Javier Arturo Orjuela Castro ◽  
Wilson Adarme Jaimes
Keyword(s):  
Supply Chain ◽  
Food Security ◽  
System Dynamics ◽  
Supply Chains ◽  
Third Party ◽  
Third Party Logistics ◽  
System Dynamics Model ◽  
Dynamics Model ◽  
Deterioration Rate ◽  
Overall Performance

Purpose: Understanding how the structure affects logistical performance and food security is critical in the supply chains of perishable foods (PFSC). This research proposes a system dynamics model to analyze the effects of structures: lean, agile, flexible, responsive and resilient, in the overall performance and of each agent of the PFSC.Design/methodology/approach: Using a system dynamics model and design of experiments it is studied how the different structures and their combination, affect the behavior of inventory, transportation, responsiveness, efficiency, availability and quality-safety of the fresh fruits supply chain and each echelon.Findings: The studies of supply chains have been done for each structure in an independent way; investigations are scarce in supply chains of perishable foods. The structures modeled in this research do not show the better performance in all the metrics of the chain, neither in all agents for each structure. The above implies the presence of trade-offs.Research limitations/implications: The results show the need to investigate mixed structures with the FPSC´s own characteristics; the model can be applied in other supply chains of perishable foods.Practical implications: Management by combining structures in the FFSC, improves logistics performance and contributes to food security.Social implications: The agents of the FFSC can apply the structures found in this study, to improve their logistics performance and the food security.Originality/value: The dynamics of individual and combined structures were identified, which constitutes a contribution to the discussion in the literature of such problems for FFSC. The model includes six echelons: farmers, wholesalers, agro-industry, third-party logistics operators and retailers. The dynamic contemplates deterioration rate to model perishability and others losses.

The Modeling Research on the Cost of 3PL Transportation Based on System Dynamics

2011 ◽  
Vol 121-126 ◽  
pp. 4832-4836
Author(s):  
Tian Zi Chai ◽  
Meng Wei Tong
Keyword(s):  
System Dynamics ◽  
Influence Factor ◽  
Transportation Cost ◽  
Third Party ◽  
Third Party Logistics ◽  
System Dynamics Model ◽  
Dynamics Model ◽  
The Third Party Logistics ◽  
The Third ◽  
The Cost

In this paper, we analyse the structure of third-party logistics cost. We specially analyzes influence factor of transportation cost which account for 1/3 to 2/3 of the third-party logistics from the view of system dynamics. We establish the system dynamics model of transportation cost, and further more, we give the Vensim equations and explanation for it.

scholarly journals An Integrated Global Food and Energy Security System Dynamics Model for Addressing Systemic Risk

2019 ◽  
Vol 11 (14) ◽  
pp. 3995 ◽  
Author(s):  
Roberto Pasqualino ◽  
Irene Monasterolo ◽  
Aled Jones
Keyword(s):  
Food Security ◽  
Population Growth ◽  
System Dynamics ◽  
Systemic Risk ◽  
Land Development ◽  
Climate Extreme ◽  
System Dynamics Model ◽  
Dynamics Model ◽  
The Impact ◽  
Global Food

In 1972, The Limits to Growth, using the World3 System Dynamics model, modeled for the first time the long-term risk of food security, which would emerge from the complex relation between capital and population growth within the limits of the planet. In this paper, we present a novel system dynamics model to explore the short-term dynamics of the food and energy system within the wider global economic framework. By merging structures of the World3, Money, and Macroeconomy Dynamics (MMD) and the Energy Transition and the Economy (ETE) models, we present a closed system global economy model, where growth is driven by population growth and government debt. The agricultural sector is a general disequilibrium productive sector grounded on World3, where capital investment and land development decisions are made to meet population food need, thus generating cascade demands for the energy and capital sector. Energy and Capital Sectors employ a more standard economic approach in line with MMD and ETE. By taking into account the role of financial, real, and natural capital, the model can be used to explore alternative scenarios driven by uncertainty and risk, such as climate extreme events and their impacts on food production. The paper presents scenario analysis of the impact of an exogenous price, production, and subsidies shock in the food and/or energy dimensions on the economic system, understanding the sources of potential cascade effects, thus providing a systemic risk assessment tool to inform global food security policies.

Early warning of food security in East Java Indonesia using a system dynamics model

2020 ◽  
Author(s):  
Vina Vahlevi Al Juned ◽  
Iwan Vanany ◽  
Diesta Iva Maftuhah ◽  
Granita Hajar
Keyword(s):  
Food Security ◽  
System Dynamics ◽  
Early Warning ◽  
System Dynamics Model ◽  
Dynamics Model

scholarly journals A System Dynamics Model of Employees’ Performance

2020 ◽  
Vol 12 (16) ◽  
pp. 6511
Author(s):  
Mudhafar Alefari ◽  
Mohammed Almanei ◽  
Konstantinos Salonitis
Keyword(s):  
Literature Review ◽  
System Dynamics ◽  
Employee Performance ◽  
System Dynamics Model ◽  
Dynamics Model ◽  
Number Of Factors ◽  
Overall Performance ◽  
Flow Diagrams ◽  
Dynamics Models ◽  
The Impact

Employee performance is dynamic and can have great impact on the overall performance of any company and its sustainability. A number of factors that can be controlled by the company can affect the employees’ performance. The present paper starts with a thorough literature review for identifying these key driving in order to develop a system dynamics models that will be able to assess different improvement scenarios and initiatives. Based on causal loop diagrams, stock and flow diagrams are developed and solved using system dynamics theory. The model developed can be used for organizations to assess the impact of different improvement initiatives.

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