Optimising waste management collaboration processes using hybrid modelling
Optimising waste management collaboration processes using hybrid modelling
The high amount of hazardous medical waste involves high risks, so optimising waste management processes is crucial. Some research proposes hybrid modelling that combines simulations and operation research approaches, and most hybrid modelling methods focus on optimising waste transport routes. This paper proposes hybrid modelling to optimise the number of workers with minimum asynchronous waiting time (AWT) and activity costs based on waste management collaboration processes. Hybrid modelling consists of an integrated discrete-event simulation, agent-based simulation and improved MCDM methods (MOORA and COPRAS). The cases of waste management processes under normal and overload conditions verify the performance of the proposed hybrid modelling. Improved MCDM methods save 27 % of MCDM processing time. The AWT and activity cost under normal condition using the hybrid modelling decreased by 38 % and 22 %, respectively. Hybrid modelling can minimise 74 % AWT and 31 % activity cost compared to the actual model under an overload condition. MOORA is better when reducing activity cost, and COPRAS is better when minimising AWT.
agent-based simulation, discrete-event simulation, waste management, Multi-Criteria Decision-Making, Hazardous Waste Management, Discrete-Event Simulation, Agent-Based Simulation, Collaboration Process, Time-Cost Optimisation
53-64
Sungkono, K.R.
d79509f4-5078-4d6c-a028-6c55a9840a4d
Sarno, R.
09e77c84-95e9-4953-99e7-8a889c23ff03
Onggo, B.S.
8e9a2ea5-140a-44c0-9c17-e9cf93662f80
Septiyanto, A.F.
da571236-75ca-4ea3-afea-aab18ed1df8f
1 March 2024
Sungkono, K.R.
d79509f4-5078-4d6c-a028-6c55a9840a4d
Sarno, R.
09e77c84-95e9-4953-99e7-8a889c23ff03
Onggo, B.S.
8e9a2ea5-140a-44c0-9c17-e9cf93662f80
Septiyanto, A.F.
da571236-75ca-4ea3-afea-aab18ed1df8f
Sungkono, K.R., Sarno, R., Onggo, B.S. and Septiyanto, A.F.
(2024)
Optimising waste management collaboration processes using hybrid modelling.
International Journal of Simulation Modelling, 23 (1), .
(doi:10.2507/IJSIMM23-1-671).
Abstract
The high amount of hazardous medical waste involves high risks, so optimising waste management processes is crucial. Some research proposes hybrid modelling that combines simulations and operation research approaches, and most hybrid modelling methods focus on optimising waste transport routes. This paper proposes hybrid modelling to optimise the number of workers with minimum asynchronous waiting time (AWT) and activity costs based on waste management collaboration processes. Hybrid modelling consists of an integrated discrete-event simulation, agent-based simulation and improved MCDM methods (MOORA and COPRAS). The cases of waste management processes under normal and overload conditions verify the performance of the proposed hybrid modelling. Improved MCDM methods save 27 % of MCDM processing time. The AWT and activity cost under normal condition using the hybrid modelling decreased by 38 % and 22 %, respectively. Hybrid modelling can minimise 74 % AWT and 31 % activity cost compared to the actual model under an overload condition. MOORA is better when reducing activity cost, and COPRAS is better when minimising AWT.
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Accepted/In Press date: 29 November 2023
Published date: 1 March 2024
Keywords:
agent-based simulation, discrete-event simulation, waste management, Multi-Criteria Decision-Making, Hazardous Waste Management, Discrete-Event Simulation, Agent-Based Simulation, Collaboration Process, Time-Cost Optimisation
Identifiers
Local EPrints ID: 488603
URI: http://eprints.soton.ac.uk/id/eprint/488603
ISSN: 1726-4529
PURE UUID: dcc9e6d8-1a15-452e-9043-80efad6ae3af
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Date deposited: 27 Mar 2024 17:52
Last modified: 04 May 2024 01:56
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Author:
K.R. Sungkono
Author:
R. Sarno
Author:
A.F. Septiyanto
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