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Titlebook: Introduction to Modeling Sustainable Development in Business Processes; Theory and Case Stud Dirk Inghels Book 2020 The Editor(s) (if appli

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樓主: CULT
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發(fā)表于 2025-3-25 05:41:24 | 只看該作者
22#
發(fā)表于 2025-3-25 08:18:37 | 只看該作者
stem dynamics.??Moreover, the quantification of the three different sustainability objectives is also addressed.??Next to introducing the theoretical background, many real-life examples are discussed to demonstrate how the modelling techniques can be applied..978-3-030-58424-5978-3-030-58422-1
23#
發(fā)表于 2025-3-25 14:45:07 | 只看該作者
Introduction to Modeling Sustainable Development in Business ProcessesTheory and Case Stud
24#
發(fā)表于 2025-3-25 16:12:59 | 只看該作者
Introduction to Modeling Sustainable Development in Business Processes978-3-030-58422-1
25#
發(fā)表于 2025-3-25 21:11:13 | 只看該作者
n processes. A framework is presented indicating approaches to the challenge of modelling people in organisations to provide guidance for simulation practitioners. Chapter 3 examines the physical and human reso978-1-84996-743-3978-1-84800-169-5Series ISSN 1619-5736 Series E-ISSN 2197-6589
26#
發(fā)表于 2025-3-26 01:38:09 | 只看該作者
Quantification of the Environmental Impact,e production of substitutable products or processes, (iii) comparison of alternatives for delivering a given function (Jacquemin et al. 2012), and (iv) to analyze the phases of the product or service life cycle that have a more considerable environmental impact – also known as “hotspots” (Piekarski
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發(fā)表于 2025-3-26 07:59:51 | 只看該作者
28#
發(fā)表于 2025-3-26 12:03:49 | 只看該作者
Structure and Fundamental Modes of Behavior in Dynamic Systems,haped growth, S-shaped growth with overshoot, S-shaped growth with overshoot and collapse, and tragedy of the commons. These so-called archetypes of system behavior are often observed in the domain of sustainability, as we will show in the following sections.
29#
發(fā)表于 2025-3-26 15:14:37 | 只看該作者
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發(fā)表于 2025-3-26 17:04:33 | 只看該作者
Multiple Objective Optimization,x MOOPs formulated as multi-objective linear optimization problems (MOLPs). Moreover, we highlight the fundamental principles of multi-objective optimization and present a way to explore the Pareto optimal front, a function that contains all the optimal solutions for the MOOP.
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