The globalization of supply and demand has resulted in increasingly complex supply chain interaction strategies across different industries. Since the different interaction strategies are associated with different types of interdependence between partners, the impact of these strategies on cost information visibility across a supply chain network merits further investigation. The importance of ...

Nowadays, individual firms no longer compete as independent entities, but rather as an integral part of supply chain links. Davis (1993) and Min and Zhou (2002) claim that in a time of shortening product life cycle, complex corporate joint ventures, and stiffening requirements for customer service, it is necessary to manage the supply chain in a manner of completeness. Lee et al. (2007) find th...

Supply chain management is a set of used methods for the efficient integration of suppliers, manufacturers, warehouses, and sellers to response customer requirements to reduce system costs and to distribute products at the right place and right time. This study aims to identify and rank the supply chain damages using the analytic network process as a practical case in a fast moving consumer goo...

Supply chain is an organized combination of inbound logistics, production plants and multiechelon distribution network. Decentralized distribution networks are common and prone to exogenous and endogenous uncertainties. Information uncertainty from the downstream customer and material uncertainty from the upstream supplier makes the supply chain behavior more complex. Previous attempts made to ...

This paper introduces a multi-paradigm dynamic system simulator based on discrete time and discrete event formalism for simulating a supply chain as a complex adaptive system. Little is known about why such a diversity of supply chain structures exist. Simulating dynamic supply chain networks over extended periods using the multiparadigm dynamic system simulator allows us to observe the emergen...

Developing an efficient heuristic algorithm to solve a supply chain operations planning model is the main purpose of this paper. The model considers multi period supply chain planning with capacitated resources. The concept of multi period capacity consumption has been developed recently at the context of supply chain management that realizes resource planning at a supply chain. Because of cons...

Natural disasters and unexpected disruptive events have forced practitioners researchers to build resilience capability into their systems survive grow in tempestuous turbulent times. This study empirically examined the effect of multi-dimensional supply chain flexibility (MDSCF) improving (SCRES) under a high (SC) risk environment. The incorporated survey technique utilized valid responses fro...

Multi-agent systems (MAS) are becoming popular for modeling complex systems such as supply chains. However, development of multi-agent systems remain quite involved and extremely time consuming. Currently, there exist no generic methodologies for modeling supply chains using multi-agent systems. In this research, we propose a generic process-centered methodological framework, Multi-Agent Supply...

In this work, a multiperiod MINLP model is proposed for the supply chain optimization of a petrochemical complex. Nonlinear, semi-rigorous models have been included for main plants in the site, allowing the determination of process operating conditions and product properties. Intermediate and final product storage and shipping are considered. Binary variables are associated to intermittent prod...