Applications of agent-based modelling and simulation in the agri-food supply chains

Utomo, Dhanan Sarwo; Onggo, Bhakti Stephan; Eldridge, Stephen

doi:10.1016/j.ejor.2017.10.041

Cited by 110 publications

(58 citation statements)

References 112 publications

(160 reference statements)

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“…The literature includes many models in the domain of food safety; however, only a few of them have used the ABM technique. An agent-based supply chain model for simulating agri-food is presented in Reference [16]. Verwaart and Valeeva [24] have proposed an agent-based model for measuring the effects of incentives and interaction patterns for food safety.…”

Section: Background and Motivationmentioning

confidence: 99%

“…The agents sequentially interact with each other, materializing an evolving society by changing the system from one state to another as the time progresses.Literature includes several models for food safety. Some of them are developed using ABM techniques [16]. Naturally, the entities of interest for a food safety system include farms, workers, consumers, warehouses, stores, trucks, and regulators.…”

mentioning

confidence: 99%

“…Literature includes several models for food safety. Some of them are developed using ABM techniques [16]. Naturally, the entities of interest for a food safety system include farms, workers, consumers, warehouses, stores, trucks, and regulators.…”

mentioning

confidence: 99%

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Agent-Based Modeling of a Self-Organized Food Safety System

Zia

Farooq

Muhammad

2019

Safety

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The wisdom of crowds" is often observed in social discourses and activities around us. The manifestations of it are, however, so intrinsically embedded and behaviorally accepted that an elaboration of a social phenomenon evidencing such wisdom is often considered a discovery; or at least an astonishing fact. One such scenario is explored here, namely, the conceptualization and modeling of a food safety system-a system directly related to social cognition. The first contribution of this paper is the re-evaluation of Knowles's model towards a more conscious understanding of "the wisdom of crowds" effects on inspection and consumption behaviors. The second contribution is augmenting the model with social networking capabilities, which acts as a medium to spread information about stores and help consumers find uncontaminated stores. Simulation results revealed that stores respecting social cognition improve the effectiveness of the food safety system for consumers as well as for the stores. Simulation findings also revealed that active societies have the capability to self-organize effectively, even if they lack regulatory obligations. Safety 2019, 5, 52 2 of 14 people. The occurrences of such disasters initiated a debate regarding viable solutions. The solutions under considerations include introducing strict laws, re-thinking of prevalent industrial practices and adopting a fresh approach to understanding consumer behaviors [8].Stores are usually not the center of attention when it comes to food safety. The main measures within the whole food chain take place before the store level. The assessment and eradication of food contamination, at the consumer level, is usually carried out using food inspection programs in which the food provided by the stores is the center of attention. It is, however, noted that the lack of standards has made the provision of resources for inspection and agreeing upon thresholds for contamination, a real challenge [9,10]. Similarly, the consumers and the psychological factors representing their perceptions [11,12] and attitudes [13] about food quality are also important [10].The systems, which are social in nature, including food supply and consumption, are usually based on societal needs and constraints and they evolve with time. Most of them, however, are not ideal for several reasons, including the diversity of the human race, the inherent imbalance in human reasoning, the gap between scientific knowledge and its impact on individuals in terms of development and flaws in knowledge and judgments.Computational Social Science (CSS) [14] is a comparatively a new field of study, believing in the use of computational procedures for solving social problems. It mimics physical systems by developing their models in such a way that computers understand and compute them. Agent-Based Modeling (ABM) [15] is one of the most widely used techniques for investigating CSS problems. In ABM, the real objects of interest are represented as agents, which provide an abstract representation of characteristics...

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Section: Background and Motivationmentioning

confidence: 99%

mentioning

confidence: 99%

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Agent-Based Modeling of a Self-Organized Food Safety System

Zia

Farooq

Muhammad

2019

Safety

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“…Multiple platforms exist to create multi-agent systems. In the context of agri-food, as [8] analysed, agent based model has been dominated by the following characteristics: single echelon supply chains; cases in high and middle income countries; unprocessed food products; use of empirical data; decisions related to production planning and investment; and the use of black box validation. Moreover, from technical point view validation, JADE [9], for example, is a well-known framework and supporting tools that aims at supporting the creation of multi-agent, peer-to-peer systems.…”

Section: Approach Overviewmentioning

confidence: 99%

Collaborative, Distributed Simulations of Agri-Food Supply Chains. Analysis on How Linking Theory and Practice by Using Multi-agent Structures

Fernández

Hernández

Liu

et al. 2019

Collaborative Networks and Digital Transformation

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Simulations help to understand and predict the behaviour of complex phenomena's, likewise distributed socio-technical systems or how stakeholders interacts in complex domains. Such domains are normally based on networked based interaction, where information, product and decision flows comes in to play, especially under the well-known supply chains structures. Although tools exist to simulate supply chains, they do not adequately support multiple stakeholders to collaboratively create and explore a variety of decision-making scenarios. Hence, in order to provide a preliminary understanding on how these interaction affects stakeholders decision-making, this research presents an study, analysis and proposal development of robust platform to collaboratively build and simulate communication among supply chain. Since realistic supply chain behaviours are complex, a multi-agent approach was selected in order to represent such complexities in a standardised manner. The platform provides agent behaviours for common agent patterns. It provides extension hotspots to implement more specific agent behaviour for expert users (that requires programming). Therefore, as key contribution, technical aspects of the platform are presented, and also the role of multi-level supply chain scenario simulation is discussed and analysed, especially under de context of digital supply chain transformation in the agri-food context. Finally, we discuss lessons learned from early tests with the reference implementation of the platform.

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“…The problem of food safety has been tackled with ABM [14]. Naturally, the entities of interest can be farms, warehouses, trucks, stores, workers, consumers and regulators, etc.…”

Section: Introductionmentioning

confidence: 99%

Agent-based Modeling of a Self-Organized Food Safety System

Zia¹,

Saini²,

Muhammad³

et al. 2018

Preprint

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"The wisdom of crowd'' is so often observed in social discourses and activities around us. The manifestations of it are, however, so intrinsically embedded and behaviorally accepted that an elaboration of a social phenomenon evidencing such wisdom is often cheered as a discovery; or at least an astonishing fact. One such scenario is explored here, namely conceptualization and modeling of a food safety system, a system directly related to social cognition. Food safety is an area of concern these days. Models representing the food safety systems are recently published to study the effect of interactions between important entities of the system. For example, Knowles’s model finds conditions leading to a more efficient and dependable system of entities like consumers, regulators and stores with specific focus on regulators behavior and their impact on the food safety. The first contribution of this paper is reevaluation of Knowles’s model towards a more conscious understanding of ``the wisdom of crowd'' effects on inspection and consuming behaviors. The second contribution is augmenting of the model with social networking capabilities, which acts as a medium to spread information about stores and help consumers find stores which are not contaminated. Simulation results reveal that stores’ respecting social cognition improve effectiveness of the food safety system for consumers and stores both. Simulation findings also reveals that an active society has a capability to self-organize effectively even in the absence of any regulatory compulsion.

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Applications of agent-based modelling and simulation in the agri-food supply chains

Cited by 110 publications

References 112 publications

Agent-Based Modeling of a Self-Organized Food Safety System

Agent-Based Modeling of a Self-Organized Food Safety System

Collaborative, Distributed Simulations of Agri-Food Supply Chains. Analysis on How Linking Theory and Practice by Using Multi-agent Structures

Agent-based Modeling of a Self-Organized Food Safety System

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