Semantic discovery and reuse of business process patterns

Patterns currently play an important role in modern information systems (IS) development and their use has mainly been restricted to the design and implementation phases of the development lifecycle. Given the increasing significance of business modelling in IS development, patterns have the potential of providing a viable solution for promoting reusability of recurrent generalized models in the very early stages of development. As a statement of research-in-progress this paper focuses on business process patterns and proposes an initial methodological framework for the discovery and reuse of business process patterns within the IS development lifecycle. The framework borrows ideas from the domain engineering literature and proposes the use of semantics to drive both the discovery of patterns as well as their reuse

Reliability-based economic model predictive control for generalized flow-based networks including actuators' health-aware capabilities

This paper proposes a reliability-based economic model predictive control (MPC) strategy for the management of generalized flow-based networks, integrating some ideas on network service reliability, dynamic safety stock planning, and degradation of equipment health. The proposed strategy is based on a single-layer economic optimisation problem with dynamic constraints, which includes two enhancements with respect to existing approaches. The first enhancement considers chance-constraint programming to compute an optimal inventory replenishment policy based on a desired risk acceptability level, leading to dynamically allocate safety stocks in flow-based networks to satisfy non-stationary flow demands. The second enhancement computes a smart distribution of the control effort and maximises actuators’ availability by estimating their degradation and reliability. The proposed approach is illustrated with an application of water transport networks using the Barcelona network as the considered case study.Peer ReviewedPostprint (author's final draft

Continuous Improvement Through Knowledge-Guided Analysis in Experience Feedback

Continuous improvement in industrial processes is increasingly a key element of competitiveness for industrial systems. The management of experience feedback in this framework is designed to build, analyze and facilitate the knowledge sharing among problem solving practitioners of an organization in order to improve processes and products achievement. During Problem Solving Processes, the intellectual investment of experts is often considerable and the opportunities for expert knowledge exploitation are numerous: decision making, problem solving under uncertainty, and expert configuration. In this paper, our contribution relates to the structuring of a cognitive experience feedback framework, which allows a flexible exploitation of expert knowledge during Problem Solving Processes and a reuse such collected experience. To that purpose, the proposed approach uses the general principles of root cause analysis for identifying the root causes of problems or events, the conceptual graphs formalism for the semantic conceptualization of the domain vocabulary and the Transferable Belief Model for the fusion of information from different sources. The underlying formal reasoning mechanisms (logic-based semantics) in conceptual graphs enable intelligent information retrieval for the effective exploitation of lessons learned from past projects. An example will illustrate the application of the proposed approach of experience feedback processes formalization in the transport industry sector

Property management strategies for institutional investors in the '90s

Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Architecture, 1996.Includes bibliographical references (leaves 91-92).by John A. Willand.M.S

Contracts, relationships and innovation in business-to-business exchanges

Purpose: – This paper aims to contrast two approaches to the study of contracts in business and industrial marketing: first, as a legal document in shaping at the outset exchanges and interactions, for instance in projects; and second, as relational norms in becoming integrated into a business relationship through interactions, for instance as a resource. Design/methodology/approach: – The paper draws on cross-case comparison of three projects, as actors develop an engineering service for optimizing the maintenance of large-scale capital equipment by analyzing real-time data from sensors and user records. Comparison is by coding interview and observational data as micro-sequences of interactions among actors. Findings: – Preparing contracts allows a project to commence and is an early form of interaction, intensifying new relationships or cutting into and recasting established ones. Relational norms augment and can supersede the early focus on the contract, thus incorporating incremental innovation and absorbing some uncertainties. Research limitations/implications: – The research approach benefits from detailed comparison and captures some variety across its three cases, but the discussion is limited to theoretical generalization. Practical implications: – The analysis and discussion highlights and focuses on when different approaches to understanding contracting are more apparent across durable business relationships. Transitions from a contractual document to a view of relational norms are subtle, vulnerable and not always made successfully. Originality/value: – This paper’s originality is in it comparison of overlapping approaches to understanding businesses’ uses of contacts in business and industrial marketing, of contract and relational norms. It develops a valuable research proposition, in the transition from a mainly contractual to a mainly relational uses of contracts, thus identifying contract as a particular business resource, to be deployed and embedded