ABM-GIS simulation for urban freight distribution of perishable food

Raoui, Hanane El; Oudani, Mustapha; Alaoui, A. El

doi:10.1051/matecconf/201820000006

Cited by 11 publications

(8 citation statements)

References 9 publications

(8 reference statements)

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“…Agent Based Modelling and Simulation (ABMS) can be defined as a simulation system with agents that repeatedly interact with each other and with their environment in an autonomous way (Parker (2019);El Raoui, Oudani, and Alaoui (2018)). The agents in ABMS have certain properties and attributes (Wooldridge and Jennings (1994); El Raoui, Oudani, and Alaoui (2020)): autonomous, proactive, interacting, and unique.…”

Section: Agent Based Modelling and Simulationmentioning

confidence: 99%

Agent Based Simulation of Workers’ Behaviours Around Hazard Areas in Manufacturing Sites

Raoui¹,

Quigley²,

Aslan³

et al. 2023

Proceedings of SW21 the OR Society Simulation Workshop

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Rewards for risk taking behaviour by workers (if accidents do not occur) can be realised in the form of increased productivity or worker idle time. However, frequent unsafe behaviours of workers inevitably results in accidents and an associated loss in productivity. Workers' behaviour towards safety is influenced by management, who can encourage or discourage risk taking behaviour. In this paper, we explore the relationship between the perceived reward by individual workers who expose themselves to hazards and a management response in the form of inspections to monitor and address inappropriate behaviours. We conduct this study by developing an Agent Based Simulation Model, where workers are required to learn paths within a factory exposed to hazardous areas, with inspectors randomly moving around the factory to correct inappropriate behaviour if noticed. We assume workers are maximising their anticipated reward as they learn routes through the factory. This agent based model is used to explore the impact of inspection frequency and reward perception (i.e. parameters which can be influenced by management) on the number of workplace accident. The results demonstrated that the proposed model is a valuable tool to assist the management in predicting the potential safety improvement from safety management practices focusing on safety inspections, and changing workers perceptions.

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Section: Agent Based Modelling and Simulationmentioning

confidence: 99%

Agent Based Simulation of Workers’ Behaviours Around Hazard Areas in Manufacturing Sites

Raoui¹,

Quigley²,

Aslan³

et al. 2023

Proceedings of SW21 the OR Society Simulation Workshop

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“…In [17], the authors designed a closed-loop multi-echelons supply chain for perishable goods considering uncertain demand, multiple periods, and multiple products. An agent-based simulation was combined with geographic information system in [18], to determine the quickest routes for delivering fresh products. In another study [19], the authors propose a model and solving approach to address VRP for perishables distribution on a real road network considering fuzzy time window.…”

Section: Related Workmentioning

confidence: 99%

A Metaheuristic Based Approach for the Customer-Centric Perishable Food Distribution Problem

et al. 2021

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High transportation costs and poor quality of service are common vulnerabilities in various logistics networks, especially in food distribution. Here we propose a many-objective Customer-centric Perishable Food Distribution Problem that focuses on the cost, the quality of the product, and the service level improvement by considering not only time windows but also the customers’ target time and their priority. Recognizing the difficulty of solving such model, we propose a General Variable Neighborhood Search (GVNS) metaheuristic based approach that allows to efficiently solve a subproblem while allowing us to obtain a set of solutions. These solutions are evaluated over some non-optimized criteria and then ranked using an a posteriori approach that requires minimal information about decision maker preferences. The computational results show a) GVNS achieved same quality solutions as an exact solver (CPLEX) in the subproblem; b) GVNS can generate a wide number of candidate solutions, and c) the use of the a posteriori approach makes easy to generate different decision maker profiles which in turn allows to obtain different rankings of the solutions.

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“…In ABS, active entities known as agents must be identified and their behavior defined. ABS has been adopted to solve complex problems, form logistics optimization, to traffic, to urban planning, and an example of the latter is presented in [58]. ABS can be used in different purposes: (1) Understanding observed dynamics, processes and systems (2) Designing or engineering of processes or systems (3) Managing a system or process (4) Formulating theory and explanatory models (5) Prediction (6) Optimizing resources, capabilities and processes.…”

Section: B Agent Based Simulationmentioning

confidence: 99%

Coupling Soft Computing, Simulation and Optimization in Supply Chain Applications: Review and Taxonomy

2020

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Supply chain networks are typical examples of complex systems. Thereby, making decisions in such systems remains a very hard issue. To assist decision makers in formulating the appropriate strategies, robust tools are needed. Pure optimization models are not appropriate for several reasons. First, an optimization model cannot capture the dynamic behavior of a complex system. Furthermore, most common practical problems are very constrained to be modeled as simple tractable models. To fill in the gap, hybrid optimization/simulation techniques have been applied to improve the decision-making process. In this paper we explore the near-full spectrum of optimization methods and simulation techniques. A review and taxonomy were performed to give an overview of the broad field of optimization/simulation approaches applied to solve supply chain problems. Since the possibilities of coupling them are numerous, we launch a discussion and analysis that aims at determining the appropriate framework for the studied problem depending on its characteristics. Our study may serve as a guide for researchers and practitioners to select the suitable technique to solve a problem and/or to identify the promising issues to be further explored.

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ABM-GIS simulation for urban freight distribution of perishable food

Cited by 11 publications

References 9 publications

Agent Based Simulation of Workers’ Behaviours Around Hazard Areas in Manufacturing Sites

Agent Based Simulation of Workers’ Behaviours Around Hazard Areas in Manufacturing Sites

A Metaheuristic Based Approach for the Customer-Centric Perishable Food Distribution Problem

Coupling Soft Computing, Simulation and Optimization in Supply Chain Applications: Review and Taxonomy

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