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In this chapter, we consider the model of call center incoming call forecasting and staffing-level optimization. We first present the structure of the model and how an agent-based modeling technique could enrich the decision rule and the model. A matrix layout is introduced to present the model so that it can be understood in an efficient way from the perspective of a programmer. The agent-based queuing model will be used in forecasting. We then utilize the bisection method and stepwise method to optimize the staff level to satisfy a target range service-level criteria. Call center management could use the model in practice for their management forecasting and optimization decision-making process in terms of how many agents they need to achieve the target business efficiency goal.

Individual change agents for corporate sustainability can drive the transformation of organizations and foster sustainable development. Current research literature is growing and is published in a wide variety of journals. This systematic literature review provides an overview and synthesis of different understandings of individual change agents for corporate sustainability transformation. It identifies gaps and puts forward propositions to contribute to theoretical development in the field.

This paper conducts a systematic literature review and thematic content analysis of individual agency in light of corporate sustainability transformation.

The analysis identifies five research streams, three key dimensions of individual change agency for sustainability (beliefs, actions and competencies) and presents levels of individual agency for transformation. An integrated definition of change agents for sustainability is proposed.

The review concludes with implications to support individuals in fostering sustainability transformations of organizations, markets and societies. The synthesis and propositions help in identifying which dimensions are already and could in future be addressed by individual change agents. While acknowledging the usual limitations of literature reviews, this paper can inspire future empirical research on the effectiveness of individual change agents for sustainability.

By synthesizing different understandings in the literature of individual change agents for sustainability, this article contributes to the theoretical development of individual agency in the areas of understandings, research streams, dimensions and perspectives. It also develops propositions on how individual change agency can effectively contribute to sustainability transformations at individual, organizational and systems levels.

The silicone modifications of two-component epoxy resin coatings are commonly built on epoxy resins rather than on epoxy curing agents. The silicone-modified epoxy curing agent system is rarely reported yet. This study aims to prepare the polysiloxane (PS)-modified waterborne epoxy coatings based on aqueous curing agents technology.

Waterborne epoxy curing agents with different contents of terminal epoxy PS were synthesized by reacting with triethylenetetramine, followed by incorporating of epoxy resin (NPEL-128) and polyethylene glycol diglycidyl ether. The waterborne epoxy coatings were prepared with the above curing agents, and their performance was investigated through thermogravimetric analysis, scanning electron microscopy, mechanical characterization, gloss measurement, chemical resistance test and ultraviolet (UV) aging experiment.

The results showed that the epoxy coating prepared by silicon-modified curing agent has higher gloss, better chemical resistance and UV resistance than the coating from unmodified curing agent with terminal epoxy PS and commercially available waterborne epoxy curing agent (Aradur 3986), as well as the competitive mechanical properties and heat resistance. Reduced water absorption on fibrous paper was also obtained with the help of silicon-modified curing agent.

These findings will be valuable for resin researchers in addressing the modification issues about waterborne epoxy resin and curing agent.

The purpose of this paper is to create a platform framework based on agent for virtual enterprise (VE) with the characteristic of supply chain by adopting multi‐agent technology.

According to the system hierarchy theory and the features of VE with the characteristic of supply chain, the conception and organization structure of supply chain‐oriented VE are proposed. Combined with characters of multi‐agent, a platform framework based on agent for VE with the characteristic of supply chain is created. Aiming at complexity of net node of running platform framework, two‐layer architecture mode, which are information alternation layer and basic function layer inside net node based on agent, are designed. The modes are proved to be reasonable in the management of the system and networks resources.

The theory base of realization of the VE based on agent with the characteristic of supply chain is found.

The reasonable basic function design of various agents are main limitations.

The paper presents a very useful tool for the operation and management of VE.

A new approach and scheme for VE with the characteristic of supply chain is presented. This paper is aimed at researchers and engineers.

First this paper introduces the concepts of virtual manufacturing system (VMS). The host enterprise and the multiple numbers of supply and distribution enterprises that make up a VMS, and the hierarchical and horizontal relationship that exists between these enterprises are explained. The steps involved in formation and operation of a VMS are then analyzed in detail. Second, we present a three view based methodological approach to make a multi‐agent model of VMS. Finally, with the help of a testing prototype, we show how to develop an autonomous Internet based data collection system for operation of VMS in accordance with the proposed methodological approach.

This article describes the use of intelligent agents to filter and categorise information and concludes with case studies of select Verity partners who have built unique applications using Verity agent technology.

The mythological ‘Daily Me’. At the recent NetMedia 97 conference at City University I watched a presentation by Steve Yelvington, Editor of the Star Tribune Online in Minneapolis. He was describing the development of an intelligent agent system called MOM (My Own Matrix) that the Star Tribune is developing to serve the needs of its readers.

Fairly rapid environmental changes call for continuous surveillance and on‐line decision making. There are two main areas where IT technologies can be valuable. In this paper we present a multi‐agent system for monitoring and assessing air‐quality attributes, which uses data coming from a meteorological station. A community of software agents is assigned to monitor and validate measurements coming from several sensors, to assess air‐quality, and, finally, to fire alarms to appropriate recipients, when needed. Data mining techniques have been used for adding data‐driven, customized intelligence into agents. The architecture of the developed system, its domain ontology, and typical agent interactions are presented. Finally, the deployment of a real‐world test case is demonstrated.

One of the greatest challenges facing any intelligent tutoring system is being able to adapt its behaviour based on the student's current knowledge level, ability, needs and wishes within a course. This paper aims to present a framework of BDI agents within an agent‐based intelligent tutoring system (ABITS).

A conceptual discussion approach is taken.

The agents provide the core reasoning ability. In particular, the paper demonstrates how the system sources and refines a particular set of commonly available data. Also shows how these data are incorporated into the agents' belief set so that they may adapt their behaviour to support individual students.

Provides a framework that can improve learning procedures for future users of ABITS.