Data-Driven Systems Engineering: Toward Sustainable Logistics and Supply Chain Processes
A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Engineering and Science".
Deadline for manuscript submissions: 30 May 2024 | Viewed by 1729
Special Issue Editor
Interests: business process management; data and process analytics; machine learning
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The post-pandemic world has entered a new phase to expose the digitization and technology toward global logistics and supply chain. While the COVID-19 pandemic has exposed the fragility of global supply chains in many sectors, the post pandemic era has also received heightened attention as serious threats to operational performance. Agile business practices show how companies take advantage of advanced intelligence technology and become truly data-driven during the pandemic era. The issue raises concern on how to handle the agility and resiliency of many businesses in the next normal phase.
While today’s global supply chain network emphasized the optimization by identifying the minimum lead times with the lowest possible price, the pandemic era has shifted the paradigm towards consumers buying niche products and revealed the weakness that lies of this model of manufacturing. The changes have begun by looking towards more flexibility and multi-level sourcing to see a broad overhaul of the supply chain infrastructure with a toleration of higher prices for certain goods. These changes have attracted many business organizations toward business systems engineering.
Business systems engineering is an approach to identify and adopt the business processes and tasks that are required to complete the business operational aspects. This approach is usually undertaken in response to extraordinary operating costs. The traditional business process lifecycle (design, model, execute, monitor, and optimize) become irrelevant and business system engineer is required to provide a transformational process improvement with the use of information technology.
The post-pandemic era returns the human dimension and will take humans to play a prime role in rebalancing the global supply chain. The unpredictable changes cause the development of statistical models meaningless since the pandemic is regarded as “outliers”. “Autonomation” (automation with a human touch) rises by involving automation around 80-90% of the system and allowing a 10–20% opportunity for human expertise to improve the operational performance. We believe that we could draw a great potential from the inter-disciplinary and international cooperation of researchers that integrates business, technical, and human perspectives for sustainable and resilience logistics and supply chain. This Special Issue aims to provide a deep discussion of the resilience in logistics and global supply chains in the domain of system engineering and to allow research scholars to provide new insight into dealing with the sustainability of global business. The potential topics include, but are not limited to, the following:
- Data-driven System Engineering.
- Sustainable System Engineering.
- Sustainable Logistics and Supply Chain Process.
- Green Logistics and Supply Chain Process.
- Sustainable Business System.
- Business process reengineering (BPR).
- Sustainable resource management.
- Service delivery improvement (SDI).
- Data-driven System Engineering.
- Sustainable System Engineering.
- Sustainable Logistics and Supply Chain Process.
- Green Logistics and Supply Chain Process.
- Sustainable Business System.
- Business process reengineering (BPR).
- Sustainable resource management.
- Service delivery improvement (SDI).
Dr. Bernardo Nugroho Yahya
Guest Editor
Manuscript Submission Information
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Keywords
- data-driven system engineering
- sustainable system engineering
- sustainable logistics and supply chain process
- green logistics and supply chain process
- sustainable business system
- business process reengineering (BPR)
- sustainable resource management
- service delivery improvement (SDI)
