In the broad sense, the Bayesian networks (BN) are probabilistic graphical models that
possess unique methodical features to model dependencies in complex networks, such as …

Based on environmental, legal, social, and economic factors, reverse logistics and closed-
loop supply chain issues have attracted attention among both academia and practitioners …

Uncertainties in acquisition, processing, market, and other stages of the closed-loop supply
chain have greatly added to the complexity of remanufacturing and have reduced process …

Supply chain resilience assessment and strengthening has become a strategic topic in
supply chain management. Extant literature on the subject of supply chain resilience …

Purpose In a quest to meet increasing pressure to incorporate environmental and
sustainability factors due to the legislations and growing public awareness, companies are …

The world is facing economic, as well as social, crisis due to the COVID-19 pandemic.
Implementing sustainable practices is one of the possible ways to address these issues …

Purpose–As organizations increase their dependence on supply chain networks, they
become more susceptible to their suppliers' disaster risk profiles, as well as other categories …

Purpose–To counteract the effects of global competition, many organizations have extended
their enterprises by forming supply chain networks. However, as organizations increase their …

In today's competitive world, it is unavoidable to provide a new efficient approach in the
cycle of production and supplying. The problem of designing a supply chain network is …

Purpose The reverse logistics supply chain (RLSC) for demolition waste management
(DWM) is a complex process that inherits significant interdependent risks. However, studies …