遭受
发表于 2025-3-25 05:41:24
http://reply.papertrans.cn/48/4740/473914/473914_21.png
受辱
发表于 2025-3-25 08:18:37
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
恸哭
发表于 2025-3-25 14:45:07
Introduction to Modeling Sustainable Development in Business ProcessesTheory and Case Stud
沙发
发表于 2025-3-25 16:12:59
Introduction to Modeling Sustainable Development in Business Processes978-3-030-58422-1
concise
发表于 2025-3-25 21:11:13
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
considerable
发表于 2025-3-26 01:38:09
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
GLOOM
发表于 2025-3-26 07:59:51
http://reply.papertrans.cn/48/4740/473914/473914_27.png
BOOST
发表于 2025-3-26 12:03:49
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.
ARM
发表于 2025-3-26 15:14:37
http://reply.papertrans.cn/48/4740/473914/473914_29.png
anatomical
发表于 2025-3-26 17:04:33
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.