Implementation of a rewards based negotiation module for an e commerce platform

Information and Communication Technologies (ICTs) have been widely deployed in developmental programs and this has lead to the creation of a new field – ICT for Development (ICT4D). Within the context of ICT4D, various e-services are being developed, including e-Commerce, e-Government, e-Health and e-Judiciary. ICT4D projects allow Small, Medium and Micro Enterprises (SMMEs) in rural areas to increase sales and gain a market share in the global market. However, many of these ICT4D projects do not succeed, because they fail to bring enough financial value to SMMEs due to the form they currently have. An obvious example is e-Commerce, which should be a source of revenue for business organizations, but most often is not. This thesis presents the design and implementation of a rewarding and negotiation application for a shopping portal to improve the marketing of products for rural entrepreneurs. The shopping portal has been set up for the Dwesa community, a marginalized area in the Eastern Cape province of South Africa. The proposed system, called the Dwesa Rewarding Program (DRP) enables customers buying online to get points for some of the activities carried out on the shopping portal. It also allows customers to negotiate and make offers whilst purchasing and get rewarded for buying online. The novelty of the system is in its flexibility and adaptability. One achievement of this system is the establishment of negotiation rules which allows fairness in rewarding customers. This should in turn lead to increased sales on the e-Commerce platform in marginalized areas and subsequently increased effectiveness of ICT4D for socio-economic developmen

Features Interaction Detection and Resolution in Smart home systems Using Agent-Based Negotiation Approach

Smart home systems (SHS) have become an increasingly important technology in modern life. Apart from safety, security, convenience and entertainment, they offer significant potential benefits for the elderly, disabled and others who cannot live independently. Furthermore, smart homes are environmentally friendly. SHS functionality is based on perceiving residents’ needs and desires, then offering services accordingly. In order to be smart, homes have to be equipped with sensors, actuators and intelligent devices and appliances, as well as connectivity and control mechanisms. A typical SHS comprises heterogeneous services and appliances that are designed by many different developers and which may meet for the first time in the home network. The heterogeneous nature of the systems, in addition to the dynamic environment in which they are deployed, exposes them to undesirable interactions between services, known as Feature Interaction (FI). Another reason for FI is the divergence between the policies, needs and desires of different residents. Proposed approaches to FI detection and resolution should take these different types of interaction into account. Negotiation is an effective mechanism to address FI, as conflicting features can then negotiate with each other to reach a compromise agreement. The ultimate goal of this study is to develop an Agent-Based Negotiation Approach (ABNA) to detect and resolve feature interaction in a SHS. A smart home architecture incorporating the components of the ABNA has been proposed. The backbone of the proposed approach is a hierarchy in which features are organised according to their importance in terms of their functional contribution to the overall service. Thus, features are categorised according to their priority, those which are essential for the service to function having the highest priority. An agent model of the ABNA is proposed and comprehensive definitions of its components are presented. A computational model of the system also has been proposed which is used to explain the behaviour of different components when a proposal to perform a task is raised. To clarify the system requirements and also to aid the design and implementation of its properties, a formal specification of the ABNA is presented using the mathematical notations of Calculus of Context-aware Ambient (CCA), then in order to evaluate the approach a case study is reported, involving two services within the SHS: ventilation and air conditioning. For the purpose of evaluation, the execution environment of CCA is utilised to execute and analyse the ABNA

Facilitating e-Negotiation Processes with Semantic Web Technologies

Semantic Web technologies have recently been maturing to make e-commerce interactions and cross-organizational processes more flexible and automated. Ontology has also been developed in various business domains. However, researches in Semantic Web have largely focused on the facilitation of successful matchmaking but not much on the negotiation upon matchmaking failures and exceptions. In this paper, we propose a novel application of Semantic Web technologies for the facilitation of e-Negotiation processes. We discuss how the elicitation of negotiation issues, alternatives, and tradeoff can be streamlined. We further propose a novel methodology for the elicitation of dependencies among negotiation issues so that negotiators can focus on tradeoff among interrelated issues, instead of arguing about single issues. A negotiation plan can thus be derived to observe negotiation orders across different issues. As a result, negotiators can have a better cognition of their negotiation tasks and the overall e-Negotiation process can be streamlined. We are extending a negotiation support system to demonstrate the feasibility of our approach, which is the most useful to repeatable and semi-structured negotiations in business-to-business (B2B) e-Commerce and e-Marketplace environments

The Integrated Realization of Materials, Products and Associated Manufacturing Processes

Problem: A materials design revolution is underway in the recent past where the focus is to design (not select) the material microstructure and processing paths to achieve multiple property or performance requirements that are often in conflict. The advancements in computer simulations have resulted in the speeding up of the process of discovering new materials and has paved way for rapid assessment of process-structure-property-performance relationships of materials, products, and processes. This has led to the simulation-based design of material microstructure (microstructure-mediated design) to satisfy multiple property or performance goals of the product/process/system thereby replacing the classical material design and selection approaches. The foundational premise for this dissertation is that systems-based materials design techniques offer the potential for tailoring materials, their processing paths and the end products that employ these materials in an integrated fashion for challenging applications to satisfy conflicting product and process level property and performance requirements. The primary goal in this dissertation is to establish some of the scientific foundations and tools that are needed for the integrated realization of materials, products and manufacturing processes using simulation models that are typically incomplete, inaccurate and not of equal fidelity by managing the uncertainty associated. Accordingly, the interest in this dissertation lies in establishing a systems-based design architecture that includes system-level synthesis methods and tools that are required for the integrated design of complex materials, products and associated manufacturing processes starting from the end requirements. Hence the primary research question: What are the theoretical, mathematical and computational foundations needed for establishing a comprehensive systems-based design architecture to realize the integrated design of the product, its environment, manufacturing processes and material as a system? Major challenges to be addressed here are: a) integration of models (material, process and product) to establish processing-structure-property-performance relationships, b) goal-oriented inverse design of material microstructures and processing paths to meet multiple conflicting performance/property requirements, c) robust concept exploration by managing uncertainty across process chains and d) systematic, domain-independent, modular, reconfigurable, reusable, computer interpretable, archivable, and multi-objective decision support in the early stages of design to different users. Approach: In order to address these challenges, the primary hypothesis in this dissertation is to establish the theoretical, mathematical and computational foundations for: 1) forward material, product and process workflows through systematic identification and integration of models to define the processing-structure-property-performance relationships; 2) a concept exploration framework supporting systematic formulation of design problems facilitating robust design exploration by bringing together robust design principles and multi-objective decision making protocols; 3) a generic, goal-oriented, inverse decision-based design method that uses 1) and 2) to facilitate the systems-based inverse design of material microstructures and processing paths to meet multiple product level performance/property requirements, thereby generating the problem-specific inverse decision workflow; and 4) integrating the workflows with a knowledge-based platform anchored in modeling decision-related knowledge facilitating capture, execution and reuse of the knowledge associated with 1), 2) and 3). This establishes a comprehensive systems-based design architecture to realize the integrated design of the product, its environment, manufacturing processes and material as a system. Validation: The systems-based design architecture for the integrated realization of materials, products and associated manufacturing processes is validated using the validation-square approach that consists of theoretical and empirical validation. Empirical validation of the design architecture is carried out using an industry driven problem namely the ‘Integrated Design of Steel (Material), Manufacturing Processes (Rolling and Cooling) and Hot Rolled Rods (Product) for Automotive Gears’. Specific sub-problems are formulated within this problem domain to address various research questions identified in this dissertation. Contributions: The contributions from the dissertation are categorized into new knowledge in four research domains: a) systematic model integration (vertical and horizontal) for integrated material and product workflows, b) goal-oriented, inverse decision support, c) robust concept exploration of process chains with multiple conflicting goals and d) knowledge-based decision support for rapid and robust design exploration in simulation-based integrated material, product and process design. The creation of new knowledge in this dissertation is associated with the development of a systems-based design architecture involving systematic function-based approach of formulating forward material workflows, a concept exploration framework for systematic design exploration, an inverse decision-based design method, and robust design metrics, all integrated with a knowledge-based platform for decision support. The theoretical, mathematical and computational foundations for the design architecture are proposed in this dissertation to facilitate rapid and robust exploration of the design and solution spaces to identify material microstructures and processing paths that satisfy conflicting property and performance for complex materials, products and processes by managing uncertainty