Marketing

Context (archaeology)

Biology

Computer security

Supply chain risk management

Business continuity

Computer science

Risk analysis (engineering)

Business

Paleontology

Process management

Supply chain management

Supply chain

Risk management

Artificial intelligence

Service management

Finance

Decision support system

Decision Support Systems

Supply chain risk management typically deals with the systematic identification, analysis and mitigation of risks which affect the whole supply chain network of a company. Business continuity management (BCM) forms part of supply chain risk management and is an important competitive factor for companies by ensuring the smooth functioning of critical business processes in the case of failures. If business operations are severely disrupted, the companies' decision maker is confronted with a situation which is characterized by a high degree of uncertainty, complexity and time pressure. In such a context, decision support can be of significant value. This article presents a novel decision support methodology which leads to an improved and more robust BCM for severe disruptions caused by disasters. The methodology is part of the Reactive Disaster and supply chain Risk decision Support System (ReDRiSS) to deal with different levels of information availability and to provide decision makers with a robust decision recommendation regarding resource allocation problems. It combines scenario techniques, optimization models and approaches from decision theory to operate in an environment characterized by sparse or lacking information and dynamic changes over time. A simulation case study is presented where the methodology is applied within the BCM of a food retail company in Berlin that is affected by a pandemic disaster.

A decision support methodology for a disaster-caused business continuity management