Supply chain decision making supported by an Open books policy

Based on a study of a buyer–seller relationship in the automotive industry, this article identifies 17 different decision-making processes where openly sharing cost data—a so-called open books policy—plays an important supporting role. These processes relate to supplier selection, various activities that occur prior to production, and the full-speed production stage of the exchange process. Overall, open books plays the greatest role in the pre-production stage, although it is found to support decision-making relating to supplier selection and decision-making during full-speed production to a greater extent than the literature recognizes

An autonomous satellite architecture integrating deliberative reasoning and behavioural intelligence

This paper describes a method for the design of autonomous spacecraft, based upon behavioral approaches to intelligent robotics. First, a number of previous spacecraft automation projects are reviewed. A methodology for the design of autonomous spacecraft is then presented, drawing upon both the European Space Agency technological center (ESTEC) automation and robotics methodology and the subsumption architecture for autonomous robots. A layered competency model for autonomous orbital spacecraft is proposed. A simple example of low level competencies and their interaction is presented in order to illustrate the methodology. Finally, the general principles adopted for the control hardware design of the AUSTRALIS-1 spacecraft are described. This system will provide an orbital experimental platform for spacecraft autonomy studies, supporting the exploration of different logical control models, different computational metaphors within the behavioral control framework, and different mappings from the logical control model to its physical implementation

Harnessing agile concepts for the development of intelligent systems

Traditional and current approaches to intelligent systems design, have led to the creation of sophisticated and computationally-intensive packages and environments, for a wide range of applications. This paper proposes methods with which to extend the functionality of such systems, borrowing knowledge management concepts from the field of Agile Manufacturing. As such, this paper proposes that the future of intelligent systems design should be based not only upon the continuing development of artificial intelligence techniques, but also effective methods for harnessing human skills and core competencies to achieve these aims

Capability Matrix : A Framework for Analyzing Capabilities in Value Chains

This paper develops a Capability Matrix for analyzing capabilities of developing country firms that participate in global and national value chains. This is a generic framework to capture firm-level knowledge accumulation in the context of global and local industrial constellations, by integrating key elements of the global value chain (GVC) and technological capabilities (TC) approaches. The framework can visually portray characteristics of firms’ capabilities, and highlight a relatively overlooked factor in the GVC approach: local firms’ endogenous learning efforts in varieties of relationship with lead firms.Developing Countries, Industrial Management, Business Enterprises, Capability Matrix, Capabilities, Value Chains, Lead Firms, Local Firms

An effective curriculum for teaching computer numerical control machining

The purpose of this project was to develop and document curricular content for Computer Numerical Control education program for Mt. San Jacinto Community College. The design of the curriculum focuses on showing students how skills learned in academic classes can be applied to the workplace

Evaluation of industrial engineering students’ competencies for process improvement in hospitals

The failures to properly educate students about process improvement can be seen as major factor leading to increased risks of patient safety and increased wastes in hospital settings. The purpose of this research was two-fold: 1) to identify characteristics that explain the efficacy of Plan-Do-Study-Act (PDSA) based-tools while used by Industrial Engineering (IE) students on multidisciplinary teams in hospital; 2) to identify competencies needed by IEs for effective process improvement in hospital using PDSA based-tools. Exploratory mixed method design approach with survey study, unstructured interviews, and focus group discussions was used to collect the data. A regression analysis was used to identify PDSA based-tool characteristics perceived by IE students as instrumental for process improvement. Next, the abductive inference was applied to analyze qualitative data in order to investigate competencies needed for effective process improvement using PDSA based-tools.Using regression analysis, we found the brainstorming via visualization, recognizing root-cause(s) of the problem and selecting improvement measures via linking the process flow with task(s) characteristics to be the significant characteristics. From qualitative data analysis, we learned that IE students strived in technical analysis but lacked competencies in analyzing qualitative data needed for change implementation efforts. There is increasing evidence that success in achieving process improvement goals is at least partially attributable to implementation processes and contexts and not just to the nature of the technical solution. Therefore, IE students interested in working in hospitals must develop new competencies related to qualitative data analysis to manage change initiatives.Peer Reviewe