Agent-based technologies can be applied to many aspects of supply chain management. The need for responsive, flexible agents is pervasive in this environment due to its complex, dynamic nature. Two critical aspects of agent capabilities are the ability to (1) classify agent behaviors according to autonomy level and (2) adapt problem-solving roles to various problem-solving situations during sys...

managing the supply chain plays an important role in creating competitive advantages for companies. adequate information flow in supply chain is one of the most important issues in scm. therefore, using certain information systems can have a significant role in managing and integrating data and information within the supply chain. pharmaceutical supply chain is more complex than many other supp...

The primary objective of this paper is to study the impact of selected inventory parameters and management techniques on the performance of an expanded and comprehensive retail supply chain. Speci"cally, we study the sensitivity of supply chain performance to three inventory planning parameters: (i) the forecast error, (ii) the mode of communication between echelons, and (iii) the planning freq...

Planning resources for a supply chain is a major factor determining its success or failure. In this paper we introduce an Interval Type-2 Fuzzy Logic model of a distribution network. It is believed that the additional degree of uncertainty provided by Interval Type-2 Fuzzy Logic will allow for better representation of the uncertainty and vagueness present in resource planning models. First, the...

Supply chain management (SCM) has recently attracted significant interests from academics and industry. Along with the growing concern of implementing supply chain management in many enterprises, there has been a proliferation of two kinds of software solutions, business-to-business (B2B) and supply chain management (SCM), which aim at improving the performance of supply chain. The first part o...

(2012): Agent-based simulations for advanced supply chain planning and scheduling: The FAMASS methodological framework for requirements analysis, This article may be used for research, teaching, and private study purposes. Any substantial or systematic reproduction, redistribution, reselling, loan, sub-licensing, systematic supply, or distribution in any form to anyone is expressly forbidden. T...

Supply chains are subject to various types of uncertainty. According to Geary et al. (2002), these types of uncertainty can be classified in four categories: demand, process, supply, and control uncertainty. In this presentation, we propose and discuss an integrated hierarchical planning approach for supply chains that generates plans which are robust to two particular types of uncertainty, nam...

IBM Systems and Technology Group uses Operations Research models and methodology extensively for solving large-scale supply chain optimization (SCO) problems for planning of its extended enterprise semiconductor supply chain. Centralized supply chain planning systems need to simultaneously consider macro level decisions, such as sourcing among multiple plants, and worldwide shipment logistics, ...