Estimating Cost Savings when Implementing a Product Platform Approach

Many market forces are driving companies to improve their targeting of increasingly small market niches. To accomplish this efficiently, products are organized into product families that typically share common platforms. To reorganize the current product offerings or new products into a product family, using a platform approach, requires estimating the savings for such a modification. One of the problems encountered in estimating development and design cost is the lack of availability of hard information during the initial design phases. The purpose of this paper is to estimate the design and development cost, when moving towards a platform approach, using simple models. The activity based product family cost models are developed from existing single product design activities, which are modified and extended to reflect activities related to development of product platform and subsequent product family members supported by the platform. Uncertainty related to cost associated with activities are included in the model, which is solved using Monte Carlo simulation. The approach is demonstrated using a hard disk drive spindle motor platform development for a family of hard disks.Yeshttps://us.sagepub.com/en-us/nam/manuscript-submission-guideline

Emerging IT risks: insights from German banking

How do German banks manage the emerging risks stemming from IT innovations such as cyber risk? With a focus on process, roles and responsibilities, field data from ten banks participating in the 2014 ECB stress test were collected by interviewing IT managers, risk managers and external experts. Current procedures for handling emerging risks in German banks were identified from the interviews and analysed, guided by the extant literature. A clear gap was found between enterprise risk management (ERM) as a general approach to risks threatening firms’ objectives and ERM’s neglect of emerging risks, such as those associated with IT innovations. The findings suggest that ERM should be extended towards the collection and sharing of knowledge to allow for an initial understanding and description of emerging risks, as opposed to the traditional ERM approach involving estimates of impact and probability. For example, as cyber risks emerge from an IT innovation, the focus may need to switch towards reducing uncertainty through knowledge acquisition. Since individual managers seldom possess all relevant knowledge of an IT innovation, various stakeholders may need to be involved to exploit their expertise

Are we ready to track climate-driven shifts in marine species across international boundaries? - A global survey of scientific bottom trawl data

Marine biota are redistributing at a rapid pace in response to climate change and shifting seascapes. While changes in fish populations and community structure threaten the sustainability of fisheries, our capacity to adapt by tracking and projecting marine species remains a challenge due to data discontinuities in biological observations, lack of data availability, and mismatch between data and real species distributions. To assess the extent of this challenge, we review the global status and accessibility of ongoing scientific bottom trawl surveys. In total, we gathered metadata for 283,925 samples from 95 surveys conducted regularly from 2001 to 2019. We identified that 59% of the metadata collected are not publicly available, highlighting that the availability of data is the most important challenge to assess species redistributions under global climate change. Given that the primary purpose of surveys is to provide independent data to inform stock assessment of commercially important populations, we further highlight that single surveys do not cover the full range of the main commercial demersal fish species. An average of 18 surveys is needed to cover at least 50% of species ranges, demonstrating the importance of combining multiple surveys to evaluate species range shifts. We assess the potential for combining surveys to track transboundary species redistributions and show that differences in sampling schemes and inconsistency in sampling can be overcome with spatio-temporal modeling to follow species density redistributions. In light of our global assessment, we establish a framework for improving the management and conservation of transboundary and migrating marine demersal species. We provide directions to improve data availability and encourage countries to share survey data, to assess species vulnerabilities, and to support management adaptation in a time of climate-driven ocean changes.En prensa6,86

Applying a nondeterministic conceptual life cycle costing model to manufacturing processes

Purpose – The aim of this paper is to introduce uncertainty analysis within an environmentally extended inputoutput technological model of life cycle costing. The application of this approach will be illustrated with reference to the ceramic floor tiles manufacturing process. Design/methodology/approach Inputoutput analysis (IOA) provides a computational structure which is interesting for many applications within value chain analysis and business processes analysis. A technological model, which is built bottomupwards from the operations, warrants that production planning and corporate environmental accounting be closely related to cost accounting. Monte Carlo methods have been employed to assess how the uncertainty may affect the expected outcomes of the model. Findings It has been shown, when referring to a verticallyintegrated, multiproduct manufacturing process, how production and cost planning can be effectively and transparently integrated, also taking the product usage stage into account. The uncertainty of parameters has been explicitly addressed to reflect business reality, thus reducing risk while aiding management to take informed actions. Research limitations/implications The model is subject to all the assumptions characterizing IOA. Advanced issues such as non linearity and dynamics have not been addressed. These limitations can be seen as reasonable as long as the model is mostly tailored to situations where specialized information systems and competences about complex methods may be lacking, such as in many small and medium enterprises. Practical implications Developing a formal structure which is common to environmental, or other physicallydriven, assessments and cost accounting helps to identify and to understand those drivers that are relevant to both of them, especially the effects different design solutions may have on both material flows and the associated life cycle costs. Originality/value This approach integrates physical and monetary measures, making the computational mechanisms transparent. Unlike other microeconomic IOA models, the environmental extensions have been introduced. Uncertainty has been addressed with a focus on the easiness of implementing the model. © 2010, Emerald Group Publishing Limite

Gaining certainty about uncertainty: Testing cyber-physical systems in the presence of uncertainties at the application level

A cyber-physical system (CPS) comprises several connected, embedded systems and is additionally equipped with sensors and actuators. Thus, CPSs can communicate with their cyber environment and measure and interact with their physical environment. Due to the complexity of their operational environment, assumptions the manufacturer have made may not hold in operation. During an unforeseen environmental situation, a CPS may expose behavior that negatively impactsits reliability. This may arise due to insufficiently considered environmental conditions during the design of a CPS, or – even worse – it is impossible to anticipate such conditions. In the U-Test project, we are developing a configurable search-based testing framework that exploits information from functional testing and from declarative descriptions of uncertainties. Itaims at revealing unintended behavior in the presence of uncertainties. This framework enables testing for different scenarios of uncertainty and thus, allows to achieve a certain coverage of those, and to find unknown uncertainty scenarios

Implementation of Lean Project Planning: A Knowledge Transfer Perspective

Part 1: Knowledge-Based Performance ImprovementInternational audienceDuring the last decades, the Norwegian shipbuilding industry has successfully delivered complex and customized offshore vessels for the global market. This industry has historically been characterized by highly skilled workmanship that makes flexible adaptations and improvements in the production process possible, which has been a competitive advantage of the industry. Nevertheless, more complex projects, competitive pressure and globally distributed value chains, call for more formalized planning and cross learning between shipbuilding projects. Consequently, shipyards in the industry have started to focus more on structured planning tools such as Lean Project Planning (LPP). In this paper, we consider the implementation of LPP from a knowledge transfer perspective, with emphasize on the role of the context in the implementation process