Industrial buildings play a major role in sustainable development, producing and expending a significant amount of resources, energy and waste. Due to product individualization and accelerating technological advances in manufacturing, industrial buildings strive for highly flexible building structures to accommodate constantly evolving production processes. However, common sustainability assessment tools do not respect flexibility metrics and manufacturing and building design processes run sequentially, neglecting discipline-specific interaction, leading to inflexible solutions. In integrated industrial building design (IIBD), incorporating manufacturing and building disciplines simultaneously, design teams are faced with the choice of multiple conflicting criteria and complex design decisions, opening up a huge design space. To address these issues, this paper presents a parametric design process for efficient design space exploration in IIBD. A state-of-the-art survey and multiple case study are conducted to define four novel flexibility metrics and to develop a unified design space, respecting both building and manufacturing requirements. Based on these results, a parametric design process for automated structural optimization and quantitative flexibility assessment is developed, guiding the decision-making process towards increased sustainability. The proposed framework is tested on a pilot-project of a food and hygiene production, evaluating the design space representation and validating the flexibility metrics. Results confirmed the efficiency of the process that an evolutionary multi-objective optimization algorithm can be implemented in future research to enable multidisciplinary design optimization for flexible industrial building solutions.

工业建筑在可持续发展中起着重要作用，产生并消耗了大量的资源，能源和废物。由于产品的个性化和制造技术的不断进步，工业建筑努力寻求高度灵活的建筑结构，以适应不断发展的生产过程。但是，常见的可持续性评估工具不尊重灵活性指标，制造和建筑设计流程是按顺序运行的，忽略了特定领域的交互作用，从而导致解决方案不灵活。在集成了工业和建筑学科的综合工业建筑设计（IIBD）中，设计团队面临多种冲突标准和复杂设计决策的选择，从而开拓了巨大的设计空间。为了解决这些问题，本文提出了用于IIBD中有效设计空间探索的参数设计过程。进行了最先进的调查和多案例研究，以定义四个新颖的​​灵活性指标并开发一个统一的设计空间，同时尊重建筑和制造要求。基于这些结果，开发了用于自动结构优化和定量灵活性评估的参数设计流程，可指导决策过程提高可持续性。拟议的框架在食品和卫生产品的试点项目中进行了测试，评估了设计空间的表示形式并验证了灵活性指标。