A system dynamics modeling framework for the strategic supply chain management of food chains

Georgiadis, Patroklos; Vlachos, Dimitrios; Iakovou, Eleftherios

doi:10.1016/j.jfoodeng.2004.06.030

Cited by 199 publications

(105 citation statements)

References 7 publications

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“…After the analysis with dynamic programming to what extent the parties Mekarsari able to meet the customer and when companies act to cooperate with third parties to meet the customer. This research also support Anerhofer & Angelides (2000), Estevez et al (2010), Georgiadis et al (2005), Hobb & Young (2000) which stated that for more efficiently, the design of supply chain must be fit with the configuration supply chain with used dynamic programming.…”

Section: Resultssupporting

confidence: 75%

“…From the background that have been raised, agritourism supply chain system is a function of time, where the condition of the system can be changed at any time in the face of demand and delay the stochastic and uncertain situations (Anderson, et al 2000;Angerhofer & Angelides, 2000;Goncalves, 2003 2004; Akkermans & Dellaert, 2005;Georgiadis et al, 2005). Therefore, in designing the supply chain configuration, the most simulating which appropriately used in this study is a simulation of dynamic systems developed by Forrester (1961).…”

Section: Research Problemmentioning

confidence: 99%

“…So it takes a strong collaboration between business partners involved. That`s way to manage Supply Chain more efficiently, dynamics system in the supply chain become a matter a great concern (Anerhofer & Angelides, 2000;Gigler, et al, 2002;Akkermans & Dellaert, 2005;Georgiadis, et al, 2005;Moon & Kim, 2005;Kim & Oh, 2005;Trienekens, et al, 2008;Zhang & Aramyan, 2009) …”

Section: Literature Review Supply Chain Agritourismmentioning

confidence: 99%

“…( Ashayeri, et al, 1998;Anderson, et al, 2000;Angerhofer and Angelides, 2000;Goncalves, 2003;Georgiadis and Vlachos, 2004;Akkermans and Dellaert, 2005;Georgiadis, et al, 2005). So it is necessary to optimize the simulation to eliminate the instability of the supply chain and generate a strong decision making (Sarmiento, 2010).…”

Section: Introductionmentioning

confidence: 99%

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The Configuration Of Supply Chain Agritourism To Improve The Performance With Dynamic Programming

Ubud

2015

APMBA

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The purposes of this research is to implementation about the configuration of Supply Chain Agritourism in Mekarsari Tours Garden and result a decision making which must be done by top level management about their supply chain configuration. Because now Mekarsari, the biggest fruit garden in the world, have a lot of type of fruit which must be supply for the customer depend on the season with on time. So Mekarsari must know about their configuration from supplier to customer to improve their performance. The Respondents for this research is selected based on the results of supply chain maping from the worker in the garden, the top level management until the end customer. Supply chian network is formed consisting of farm workers to the end customers, especially those located in the tourist are of green land zone. The type of data is displayed in a supply chain modeling approach is to use the dynamic system. It's consists of numeric data, the written data and mental models. That data is collected and processed into a design model. The design model is using system dynamics methodology. In compiling the system dynamics model has been used software Vensim Professional Academic Ventana 5.7. The result of this research is a configuration of Supply Chain Agritourism which is developed from the supplier until the end customer in Mekarsari tours Garden. From the Dynamic Programming, the result is a decision making which must be done by the top level management to improve the supply chain performance, especially in the green land zone.

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Section: Resultssupporting

confidence: 75%

Section: Research Problemmentioning

confidence: 99%

Section: Literature Review Supply Chain Agritourismmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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The Configuration Of Supply Chain Agritourism To Improve The Performance With Dynamic Programming

Ubud

2015

APMBA

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“…For examples of particular applications of fully operational system dynamics simulation models to food system issues, see the following: models of crop growth and management (e.g., Yin and Struik 2010), nutrient dynamics (e.g., Saysel 2014), soil degradation (e.g. Saysel and Barlas 2001), development of environmentally friendly farm systems (e.g., Belcher et al 2004;Shi and Gill 2005), irrigation systems design and management (e.g., Saysel et al 2002), food supply and security (e.g., Conrad 2004;Georgiadis et al 2005), commodity markets (e.g, Nicholson and Stephenson 2014;Nicholson and Kaiser 2008), agricultural development policy (e.g., Kopainsky et al 2015;Züllich et al 2015) and vulnerability analysis of high versus low external input farming systems .…”

Section: Additional Resourcesmentioning

confidence: 99%

A system dynamics approach for examining mechanisms and pathways of food supply vulnerability

Stave

Kopainsky

2015

J Environ Stud Sci

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Understanding vulnerabilities in complex and interdependent modern food systems requires a wholesystem perspective. This paper demonstrates how one systems approach, system dynamics, can help conceptualize the mechanisms and pathways by which food systems can be affected by disturbances. We describe the process of creating stock-and-flow maps and causal loop diagrams from the graphical representation of a problem and illustrate their use for making links and feedback among the human health, food, and environmental health sectors visible. These mapping tools help structure thinking about where and how particular systems might be affected by different disturbances and how flows of material and information transmit the effects of disturbances throughout the system. The visual representations as well as the process of creating them can serve different purposes for different stakeholders: developing research questions, identifying policy leverage points, or building collaboration among people in different parts of the system. They can serve as a transition between mental models and formal simulation models, but they also stand on their own to support diagrammatic reasoning: clarifying assumptions, structuring a problem space, or identifying unexpected implications of an unplanned disturbance or an intentional policy intervention. The diagrams included here show that vulnerability of a national food system does not only or automatically result from exogenous shocks that might affect a country. Rather, vulnerability can be either intensified or reduced by the interaction of feedback loops in the food system, and buffered or amplified by the structure of stocks and flows. KeywordsCausal loop diagram; conceptual models; dynamic complexity; modern industrialized food systems; stock-and-flow diagram; systems mapping, structural insights. 2 IntroductionFood supply systems are richly integrated and highly dynamic social-ecological systems in which ecological factors shape the possibilities for food production and social factors govern the goals and operations of actors in the system. In low income countries, food supply systems tend to be relatively simple and closely adapted to local environmental conditions, with a small set of products and few steps between producers and consumers. Consumers are likely to participate in the system and understand how it works. By contrast, the structure and operation of modern industrialized food systems are largely invisible to consumers and policy-makers (Reisch et al. 2013). The chains of production, processing, and distribution activities that generate food supplies are long, highly differentiated, and influenced by an array of environmental, economic, social, cultural and other factors. It is hard to visualize connections in the system and even harder to see how changes in one part of the system affect other parts. Some causal connections in the system are direct and obvious, such as the effect of a drought on crop yield, but some are indirect and opaque, such as the effect of...

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Performance evaluation of reverse logistics in food supply chains in a circular economy using system dynamics

et al. 2020

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Supply chains are composed of multiple stakeholders who have complex interrelationships. In addition, the forward and reverse flow of materials, information, human resources, and finance occurs among different stakeholders in closing the loop of supply chains. Reverse logistics (RL) activities are gaining importance in terms of size and quantity due to both economic and environmental concerns. These flows in RL in supply chains are both dynamic and complex in nature. Further, the environmental impact of RL activities has barely been considered in holistic way in available literature. In this study, a system dynamics model has been developed to analyze and comprehend the green performance of RL activities by predicting the environmental impact of RL activities. The proposed model has been validated by a case study in the context of a food supply chain. In the company where the case study is carried out, the environmental effects of RL activities have been analyzed. These activities in a food supply chain in terms of CO2 (carbon dioxide), NOx (nitrogen oxide), SO2 (sulfur dioxide), and PM (particulate matter) emissions have been predicted through a system dynamics model for the years 2020 to 2024. The proposed methodology is applied in a food supply context, a major player in retail business, especially in emerging economies. According to our findings, the RL activities in a food supply chain can significantly contribute to green performance management by minimizing food waste and loss; hence, the environmental impacts of such activities should be closely examined from a managerial perspective.

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A system dynamics modeling framework for the strategic supply chain management of food chains

Cited by 199 publications

References 7 publications

The Configuration Of Supply Chain Agritourism To Improve The Performance With Dynamic Programming

The Configuration Of Supply Chain Agritourism To Improve The Performance With Dynamic Programming

A system dynamics approach for examining mechanisms and pathways of food supply vulnerability

Performance evaluation of reverse logistics in food supply chains in a circular economy using system dynamics

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