Search results

Describes new software tools introduced by Tecnomatix Technologies that herald a new concept in e‐Manufacturing. To its existing products, Tecnomatix has added new communication software tools that allow OEMs and suppliers throughout the supply chain to collaborate over the Internet. At the same time the “old” products have been further developed, and re‐launched under the eMPower brand, in order to link into the Web‐based concept. Application suites for planning, engineering, operations and collaboration are introduced and industry‐specific packaged solutions described. The vision of BMW in applying Tecnomatix’s tools to further its concept of “brandless” plants and reduce model development times is also summarised.

Describes how BMW is implementing data matrix technology to trace and track major engine components.

Describes the major production line hardware components of a new system that is being installed at the company's Hams Hall, UK engine plant that will be used in conjunction with Tecnomatix's XFactory intelligent software to provide a comprehensive database both for the purposes of production control as well as for use in service.

The basic hardware elements of the data matrix system have already been proven out at Hams Hall using RVSI's HawkEye 1510 cutting‐edge cameras and data matrix marking machines supplied by Technifor Ltd of Leamington Spa. Technifor, also supplied the 2D data matrix readers and verifiers from RVSI in Nashua, New Hampshire, USA. The XFactory software was installed in the last month of 2004.

Engineers at BMW plan to expand the technology to enable them to use it for selective machining of cylinder heads for various types of engine. Also, as component suppliers to BMW also adopt the technology, data matrix tracking will be used for a large variety of engine components for use in assembly. It also has implications during CMM inspection to quickly identify which machining operations might be faulty.

Data matrix technology offers a low‐cost approach to the tracking and tracing of complex major engine components during both machining and assembly.

BMW claims it is the first automotive engine supplier in the UK to use data matrix technology to track and trace components.

The paper presents design details and applications of the recently developed 3‐D laser radar from Z+F. It presents models which have been constructed using the data from “inspection of tunnel tubes”, modelling of a “car body welding cell” and a “car body gripper” in the automotive industry as well as a “chemical process plant”. The laser radar was developed for use in industrial environments. Its twin design aims are measurement performance and robustness. The laser radar can be used with a range of mechanical beam deflection units to meet the needs of specific applications.

Describes virtual manufacturing software which lets production engineers create life‐like, full‐action mock‐ups of automated production systems on computer workstations and then analyse and debug them before investing in costly capital equipment. Virtual manufacturing software that is compatible with CAD permits the design of manufacturing processes around three‐dimensional CAD production models. Explains that many prominent automotive companies are now using this software and gives examples. Concludes that by using virtual manufacturing as their product design tools, companies can now integrate product design, manufacturing system design and production stages, with all participants working with a single, current database.

Ensuring high on-shelf availability at low inventory costs remains an important challenge in retailing. Inaccurate inventory records, i.e. discrepancies between the stock records displayed in the inventory system and the stock quantity actually found in the retail store, have been identified as one of the most important drivers of retail stockouts in the past. The purpose of this work is to investigate the causes of positive inventory discrepancies in retailing, i.e. where there is more inventory on-hand than identified by the inventory system.

Based on input from retailers, the authors develop a simulation model of a retail store that considers various error-prone processes and study in a full factorial test design how the different operational errors may drive inventory discrepancies, paying special attention to the sources of positive inventory record inaccuracies.

This makes it possible to gain insights into the process parameters retailers need to adjust to avoid inventory records becoming inaccurate. In addition, the authors analyze how positive inventory discrepancies relate to stockouts to further our understanding of the role so-called phantom products may play in a retailing context.

While negative inventory discrepancies (where the stock that is available in the store is less than what the system displays) and their sources (theft, shrinkage, etc.) have been discussed quite frequently in the literature, the causes of positive inventory discrepancies (where the available inventory exceeds the system inventory) have received much less attention.

This paper aims to examine how long-lived firms can further develop through digitalisation in terms of actions, conditions and effects from a competitiveness perspective.

This exploratory study follows an inductive approach based on a survey conducted via interviews undertaken with nine long-lived Italian firms. The dimensions of the model (command, continuity, community, connection), elaborated by Miller and Le Breton-Miller (2005) in relation to longevity factors, were chosen to analyse digitalisation’s contribution to these long-lived firms’ development.

The digitalisation implemented by the analysed firms contributed in a variety of ways: (1) improved the efficiency and effectiveness of their business processes, (2) enhanced the understanding of customer experience, (3) supported their craftsmanship and the transmission of the knowledge included in the entrepreneurial path, (4) increased the awareness of the cultural value of the firms’ heritage and (5) allowed for the development of cutting-edge design skills by experimenting with content on different digital platforms and devices.

This study suggests managers of long-lived firms develop digital skills that allow them to interact with the rapid evolution of this context and understand how to effectively implement digitalisation in their specific firm. From this perspective, it is strategic to establish or strengthen collaborative network relationships to acquire such necessary skills.

This study provides novel empirical evidence on how long-lived firms are facing the challenge of digitalisation in terms of actions, conditions and effects to improve their competitiveness and ensure their survival.

The purpose of this paper is to provide a knowledge-enabled digital twin for smart design (KDT-SD) of aircraft assembly line (AAL) to enhance the AAL efficiency, performance and visibility. Modern AALs usually need to have capabilities such as digital-physical interaction and self-evaluation that brings significant challenges to traditional design method for AAL. The digital twin (DT) combining with reusable knowledge, as the key technologies in this framework, is introduced to promote the design process by configuring, understanding and evaluating design scheme.

The proposed KDT-SD framework is designed with the introduction of DT and knowledge. First, dynamic design knowledge library (DDK-Lib) is established which could support the various activities of DT in the entire design process. Then, the knowledge-driven digital AAL modeling method is proposed. At last, knowledge-based smart evaluation is used to understand and identify the design flaws, which could further improvement of the design scheme.

By means of the KDT-SD framework proposed, it is possible to apply DT to reduce the complexity and discover design flaws in AAL design. Moreover, the knowledge equips DT with the capacities of rapid modeling and smart evaluation that improve design efficiency and quality.

The proposed KDT-SD framework can provide efficient design of AAL and evaluate the design performance in advance so that the feasibility of design scheme can be improved as much as possible.

The purpose of this paper is to provide a retrospective analysis of computer simulation’s role in accelerating individual innovation adoption decisions. The process innovation examined is Lean Systems Thinking, and the organizational context is the imaging department of an Australian public hospital.

Intrinsic case study methods including observation, interviews with radiology and emergency personnel about scheduling procedures, mapping patient appointment processes and document analysis were used over three years and then complemented with retrospective interviews with key hospital staff. The multiple data sources and methods were combined in a pragmatic and reflexive manner to explore an extreme case that provides potential to act as an instructive template for effective change.

Computer simulation of process change ideas offered by staff to improve patient-flow accelerated the adoption of the process changes, largely because animated computer simulation permitted experimentation (trialability), provided observable predictions of change results (observability) and minimized perceived risk.

The difficulty of making accurate comparisons between time periods in a health care setting is acknowledged.

This work has implications for policy, practice and theory, particularly for inducing the rapid diffusion of process innovations to address challenges facing health service organizations and national health systems.

The research demonstrates the value of animated computer simulation in presenting the need for change, identifying options, and predicting change outcomes and is the first work to indicate the importance of trialability, observability and risk reduction in individual adoption decisions in health services.