Activating supply chain business models' value potentials through Systems Engineering

IF 1.6 3区工程技术 Q4 ENGINEERING, INDUSTRIAL

Systems Engineering Pub Date : 2023-04-03 DOI:10.1002/sys.21676

Jochen Nuerk, F. Dařena

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引用次数: 0

Abstract

New business opportunities, driven by smart digitalization technology and initiatives such as Industry 4.0, significantly change business models and their innovation rate. The complexity of methodologies developed in recent decades for balancing exploration and exploitation activities of digital transformation has risen. Still, the desired integration levels across organizational levels were often not reached. Systems thinking promises to holistically consider interdisciplinary relationships and objectives of various stakeholders across supply chain ecosystems. Systems theory‐based concepts can simultaneously improve value identification and aligned transformation among supply networks’ organizational and technical domains. Hence, the study proposes synthesizing management science concepts such as strategic alignment with enterprise architecture concepts and artificial intelligence (AI)‐driven business process optimization to increase innovation productivity and master the increasing rate of business dynamics at the same time. Based on a critical review, the study explores concepts for innovation, transformation, and alignment in the context of Industry 4.0. The essence has been compiled into a systems engineering‐driven framework for agile value generation on operational processes and high‐order capability levels. The approach improves visibility for orchestrating sustainable value flows and transformation activities by considering the ambidexterity of exploring and exploiting activities and the viability of supply chain systems and sub‐systems. Finally, the study demonstrates the need to harmonize these concepts into a concise methodology and taxonomy for digital supply chain engineering.

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通过系统工程激活供应链商业模式的价值潜力

在智能数字化技术和工业4.0等举措的推动下，新的商业机会显著改变了商业模式及其创新率。近几十年来，为平衡数字化转型的探索和开发活动而开发的方法论的复杂性有所上升。尽管如此，跨组织级别的所需集成级别往往没有达到。系统思维承诺全面考虑供应链生态系统中各利益相关者的跨学科关系和目标。基于系统理论的概念可以同时提高供应网络组织和技术领域之间的价值识别和协调转换。因此，该研究建议综合管理科学概念，如与企业架构概念的战略一致性和人工智能驱动的业务流程优化，以提高创新生产力，同时掌握业务动态的增长率。基于批判性综述，本研究探讨了工业4.0背景下的创新、转型和结盟概念。本质已被汇编成一个系统工程驱动的框架，用于在运营过程和高阶能力水平上产生敏捷价值。该方法通过考虑探索和开发活动的灵活性以及供应链系统和子系统的可行性，提高了协调可持续价值流和转型活动的可见性。最后，该研究表明，有必要将这些概念统一为数字供应链工程的简明方法和分类法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Systems Engineering 工程技术-工程：工业

CiteScore

5.10

自引率

20.00%

发文量

审稿时长

6 months

期刊介绍： Systems Engineering is a discipline whose responsibility it is to create and operate technologically enabled systems that satisfy stakeholder needs throughout their life cycle. Systems engineers reduce ambiguity by clearly defining stakeholder needs and customer requirements, they focus creativity by developing a system’s architecture and design and they manage the system’s complexity over time. Considerations taken into account by systems engineers include, among others, quality, cost and schedule, risk and opportunity under uncertainty, manufacturing and realization, performance and safety during operations, training and support, as well as disposal and recycling at the end of life. The journal welcomes original submissions in the field of Systems Engineering as defined above, but also encourages contributions that take an even broader perspective including the design and operation of systems-of-systems, the application of Systems Engineering to enterprises and complex socio-technical systems, the identification, selection and development of systems engineers as well as the evolution of systems and systems-of-systems over their entire lifecycle. Systems Engineering integrates all the disciplines and specialty groups into a coordinated team effort forming a structured development process that proceeds from concept to realization to operation. Increasingly important topics in Systems Engineering include the role of executable languages and models of systems, the concurrent use of physical and virtual prototyping, as well as the deployment of agile processes. Systems Engineering considers both the business and the technical needs of all stakeholders with the goal of providing a quality product that meets the user needs. Systems Engineering may be applied not only to products and services in the private sector but also to public infrastructures and socio-technical systems whose precise boundaries are often challenging to define.