Agent-based simulation for horizontal cooperation in logistics and transportation: From the individual to the grand coalition

Serrano-Hernández, Adrián; Faulín, Javier; Hirsch, Patrick; Fikar, Christian

doi:10.1016/j.simpat.2018.04.002

Cited by 49 publications

(29 citation statements)

References 35 publications

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“…Such factors can substantially challenge logistics operations, and, consequently, need to be considered closely within the development of related DSSs. Results of performed computational experiments further highlight large trade-offs between minimizing travel distances and reducing food quality losses during last-mile distribution (Amorim and Almada-Lobo, 2014;Fikar, 2018). Additionally, interdependencies between offered services and logistics performance are important to consider jointly.…”

Section: Consideration Of Uncertainties Present In Daily Logistics Operationsmentioning

confidence: 92%

“…To solve the corresponding optimization problem, a nonlinear mathematical formulation and a priority-based heuristic are developed. Fikar et al (2018) focus on restaurant deliveries. A simulation and optimization-based DSS is introduced, which considers both freelancers and the option to fulfill orders from multiple restaurant locations.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Products often share common characteristics such as optimal temperature ranges, however, differ substantially based on the specific use case. The quality of lunch boxes is mainly influenced by transport durations and door openings (Hsu et al, 2007), while for restaurant deliveries, delivery speed and pickup locations are of particular importance (Fikar et al, 2018). Consequently, tailored decision support, which integrates industry-specifics and enables one to consider varying business models, need to be provided to support successful implementations in the future.…”

Section: Integrating Food Specifics Within Logistics Dsssmentioning

confidence: 99%

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Model-driven decision support to facilitate efficient fresh food deliveries

Fikar

2020

Die Bodenkultur: Journal of Land Management, Food and Environment

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SummaryThe delivery of fresh food is challenged by various uncertainties present in daily logistics operations. To facilitate successful operations, this work reviews the recent work on model-driven decision support systems to identify research gaps and derive implications. Introduced systems in literature mainly employ simulation or optimization methods and focus on the consideration of industry specifics such as short shelf lives and the importance of efficient temperature control. Therefore, food quality models are often integrated to enable one to monitor quality throughout supply chain operations and adjust planning procedure respectively. To strengthen research, future work focusing on a stronger consideration of customer-related factors and holistic approaches considering various interdependencies present in fresh food logistics operations are required.

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Section: Consideration Of Uncertainties Present In Daily Logistics Operationsmentioning

confidence: 92%

Section: Literature Reviewmentioning

confidence: 99%

Section: Integrating Food Specifics Within Logistics Dsssmentioning

confidence: 99%

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Model-driven decision support to facilitate efficient fresh food deliveries

Fikar

2020

Die Bodenkultur: Journal of Land Management, Food and Environment

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“…the joint organization of delivery activities of multiple competing farmers serving various independent food cooperatives. To achieve successful cooperation, trust is a major success factor that needs to be built over time by the cooperating actors (Serrano-Hernandez et al 2018). Computer-aided decision support systems (DSS) facilitate such activities as they allow one to estimate impacts of cooperation and visualize results in a risk-free and flexible manner (Fikar, Hirsch, and Gronalt 2018).…”

Section: Background and Motivationmentioning

confidence: 99%

A decision support system to facilitate collaborative supply of food cooperatives

Fikar

Leithner

2020

Production Planning & Control

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Food cooperatives are gaining popularity due to consumers' desire to eat healthy and source locally. Mainly run by private citizens, such groups present an interesting additional income source to regional organic farmers. However, small order quantities and substantial logistics efforts challenge operations. To facilitate efficient and sustainable food transports from farms to food cooperatives, this work investigates impacts of collaborative logistics activities through the development of a simulation and optimization-based decision support system. Results of computational experiments considering fresh food transports in Austria highlight potentials of such joint activities. Particularly, if orders are infrequent and quantities small, collaboration results in a substantial reduction of travel distances and reduces the number of required vehicles. Nevertheless, delivered food quality may deteriorate as consolidating shipments results in longer travel durations as well as additional loading and unloading activities.

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“…The popularity of the Agent-Based Simulation System (ABSS) has increased dramatically over the past decade (Macal 2016;Abar et al 2017). The present applications of the ABSS span a wide range of areas: project management (Song et al 2018), logistics and transportation (Serrano-Hernandez et al 2018), emergency evacuation (Joo et al 2013), aircraft maintenance (Liu et al 2018), etc. The basic elements of the ABSS consist of agents, agent relationships, and the agents' environment.…”

Section: Introductionmentioning

confidence: 99%

An improved approach on the model checking for an agent-based simulation system

et al. 2020

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Model checking is an effective way to verify behaviours of an agent-based simulation system. Three behaviours are analysed: operational, control, and global behaviours. Global behaviours of a system emerge from operational behaviours of local components regulated by control behaviours of the system. The previous works principally focus on verifying the system from the operational point of view (operational behaviour). The satisfaction of the global behaviour of the system conforming to the control behaviour has not been investigated. Thus, in this paper, we propose a more complete approach for verifying global and operational behaviours of systems. To do so, these three behaviours are firstly formalized by automata-based techniques. The metatransformation between automata theories and Kripke structure is then provided, in order to illustrate the feasibility for the model transformation between the agent-based simulation model and Kripke structure based model. Then, a mapping between the models is proposed. Subsequently, the global behaviour of the system is verified by the properties extracted from the control behaviour and the operational behaviour is checked by general system performance properties (e.g. safety, deadlock freedom). Finally, a case study on the simulation system for aircraft maintenance has been carried out. A counterexample of signals sending between Flight agent and Plane agent has been produced by NuSMV model checker. Modifications for the NuSMV model and agent-based simulation model have been performed. The experiment results show that 9% out of 19% of flights have been changed to be serviceable.

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Agent-based simulation for horizontal cooperation in logistics and transportation: From the individual to the grand coalition

Cited by 49 publications

References 35 publications

Model-driven decision support to facilitate efficient fresh food deliveries

Model-driven decision support to facilitate efficient fresh food deliveries

A decision support system to facilitate collaborative supply of food cooperatives

An improved approach on the model checking for an agent-based simulation system

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