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Scientific Article details

Title Sustainable enterprise modelling and simulation in a warehousing context
ID_Doc 65752
Authors Tan, KS; Ahmed, MD; Sundaram, D
Title Sustainable enterprise modelling and simulation in a warehousing context
Year 2010
Published Business Process Management Journal, 16.0, 5
DOI 10.1108/14637151011076511
Abstract Purpose - The paper seeks to propose the concept of sustainable enterprise simulation models. The social, environmental and economic models are developed and simulated using iThink in the context of a warehousing and distribution company. Design/methodology/approach - The paper has leveraged the systems dynamic paradigm to conduct sustainable enterprise modelling and iThinke system to implement the models. It uses the design science research methodology for the proof of concept of the models and modelling processes. The models have been developed for a logistics management company and tested in the business settings. These models were finalised through a number of revisions and iterations of the design, develop, simulate and test and evaluate. Findings - The paper addresses the interconnectivity between disparate sustainability dimensions for developing the models. The validity and usefulness of the sustainability models for the day-to-day decision making has been authenticated by the management of the warehousing organisation. Originality/value - The paper implements system dynamics concepts of sustainability modelling and produces models of various sustainability dimensions which are original in nature and evolution. While the domain in which sustainable enterprise modelling was carried out was warehousing, the concepts and principles that were explored, developed and validated is applicable across most enterprises.
Author Keywords Modelling; Sustainable development; Warehousing
Index Keywords Index Keywords
Document Type Other
Open Access Open Access
Source Emerging Sources Citation Index (ESCI)
EID WOS:000213347600006
WoS Category Business; Management
Research Area Business & Economics
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