Disciplinary Links Between Scientific Management and Strategy Development

We investigate the incidence of links between the historical discipline of scientific management and the modern study of strategy development. Despite a century’s separation, these two disciplines share noticeable commonality in their trajectories and their approach to management. We conducted a forward search of the impact of scientific management, finding influences on accounting, human resource management, and the creation of the modern MBA. We then conducted a backward search of the roots of strategy development, including a novel directed reference tree search by citation count. We find overlap between these two searches in organization theory, operations research, and industrial psychology. Further, we identify disciplinary oscillation between quantitative process studies and context-based ethnographic research in the study of management questions

Evaluating the impact of platform divergence on internal investment returns

Thesis (Ph. D.)--Massachusetts Institute of Technology, Engineering Systems Division, 2011.Cataloged from PDF version of thesis.Includes bibliographical references (p. 248-253).Platforming has become an important means of cost-sharing among industrial products. However, recent research has shown that many firms face systemic downward pressure on commonality, with the result that many platforms realize less commonality than intended. This research was chartered to evaluate the costing of commonality benefits, the associated returns from commonality investments, and the potential impact of divergence on commonality benefits. This dissertation used a tiered approach to the research questions. A statistical study of commonality returns was conducted, finding evidence for a potential link between divergence and cost growth. Broad practice surveys of 16 firms revealed cost allocation practices and internal funding strategies as potential determinants of the commonality-cost relationships. Three detailed case studies were conducted to trace benefit trajectories through platformed products in the presence of commonality changes. We find support for the hypothesis that divergence has cost consequences, notably reducing inventory benefits, creating higher quality expenses and requiring additional manufacturing coordination. Additionally, we show that lead variants bearing platform costs achieved weaker investment returns and re-captured few benefits from later variants. We find also find evidence to refute the notion that representation at design reviews ensures downstream benefits are represented. Several management practices for making commonality decisions are identified. We propose a framework for commonality cost decisions, which explicitly captures the impact of individual variant decisions on the platform's cost structure. We identify a commonality cycle, a progression of commonality strategies seen by firms, driven by growing benefit analogies among platforms enabling larger investments, premature investment evaluation, and unrealized returns on commonality investments.by Bruce G. Cameron.Ph.D

Value network modeling : a quantitative method for comparing benefit across exploration architectures

Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics; and, (S.M.)--Massachusetts Institute of Technology, Engineering Systems Division, Technology and Policy Program, 2007.This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.Includes bibliographical references (p. 167-170).In the design of complex systems serving a broad group of stakeholders, it can be difficult to prioritize objectives for the architecture. I postulate that it is possible to make architectural decisions based on consideration of stakeholder value delivery, in order to help prioritize objectives. I introduce the concept of value network models to map out the indirect benefit delivered to stakeholders. A numerical methodology for prioritizing paths through this network model is presented, with a view to discovering the most important organizational outputs. I show how value network models can be linked to architecture models to provide decision support to the architect. I present a case study to examine the connectivity and sensitivity of a test architecture to value delivery. I conclude that a limited subset of NASA's outputs will discriminate between architectures. In this manner, I show how value considerations can be used to structure the design space before critical technical decisions are made to narrow it. A number of organizational implications for value delivery are generated from this analysis. In particular, I show that benefit flows should be aligned to organizational processes and responsibilities, and that failure to map stakeholder input to architecture evaluation can weaken benefit.by Bruce G. Cameron.S.M

Technology Portfolio Planning by Weighted Graph Analysis of System Architectures

Many systems undergo significant architecture-level change throughout their lifecycles in order to adapt to new operating and funding contexts, to react to failed technology development, or to incorporate new technologies. In all cases early architecture selection and technology investment decisions will constrain the system to certain regions of the tradespace, which can limit the evolvability of the system and its robustness to exogenous changes. In this paper we present a method for charting development pathways within a tradespace of potential architectures, with a view to enabling robustness to technology portfolio realization and later architectural changes. The tradespace is first transformed into a weighted, directed graph of architecture nodes with connectivity determined by relationships between technology portfolios and functional architecture. The tradespace exploration problem is then restated as a shortest path problem through this graph. This method is applied to the tradespace of in-space transportation architectures for missions to Mars, finding that knowledge of pathways through the tradespace can identify negative coupling between functional architectures and particular technologies, as well as identify ways to prioritize future technology investments.Skolkovo Institute of Science and Technolog

Rule-Based System Architecting of Earth Observing Systems: Earth Science Decadal Survey

This paper presents a methodology to explore the architectural trade space of Earth observing satellite systems, and applies it to the Earth Science Decadal Survey. The architecting problem is formulated as a combinatorial optimization problem with three sets of architectural decisions: instrument selection, assignment of instruments to satellites, and mission scheduling. A computational tool was created to automatically synthesize architectures based on valid combinations of options for these three decisions and evaluate them according to several figures of merit, including satisfaction of program requirements, data continuity, affordability, and proxies for fairness, technical, and programmatic risk. A population-based heuristic search algorithm is used to search the trade space. The novelty of the tool is that it uses a rule-based expert system to model the knowledge-intensive components of the problem, such as scientific requirements, and to capture the nonlinear positive and negative interactions between instruments (synergies and interferences), which drive both requirement satisfaction and cost. The tool is first demonstrated on the past NASA Earth Observing System program and then applied to the Decadal Survey. Results suggest that the Decadal Survey architecture is dominated by other more distributed architectures in which DESDYNI and CLARREO are consistently broken down into individual instruments."La Caixa" FoundationCharles Stark Draper LaboratoryGoddard Space Flight Cente

Influence of Technology Trends on Future Aircraft Architecture

In the last 30 years, aircraft performance has experienced diminishing returns in terms of efficiency, on the order of 1% reduction in fuel consumption annually since 2010. Meanwhile, according to projections by Airbus and Boeing, air passenger traffic is expected to increase 3.5-4.6% per annum. International Civil Aviation Organization has recommended that overall energy efficiency be improved by 2% annually. The rate of increase in demand and decrease in fuel consumption raises the question of how this goal can be met. In this paper, engine technology advances are identified as the most significant contributing trend to aircraft performance. These trends are extrapolated in order to analyze the conditions that could lead to a potential break in the dominant aircraft architecture. A hybrid analytical/empirical model for aircraft optimization is used to predict the effects of these technological trends on aircraft design. Four technology scenarios are used to analyze the expected performance increase and expected year of break in architecture, for existing airframes and unconstrained airframe geometry. It is found that for existing airframes performance is expected to increase by 6-38% relative to the 737MAX and A320neo within the next 10- 14 years and 17-40% for an unconstrained airframe within the next 20-30 years

A rule-based method for scalable and traceable evaluation of system architectures

Despite the development of a variety of decision-aid tools for assessing the value of a conceptual design, humans continue to play a dominant role in this process. Researchers have identified two major challenges to automation, namely the subjectivity of value and the existence of multiple and conflicting customer needs. A third challenge is however arising as the amount of data (e.g., expert judgment, requirements, and engineering models) required to assess value increases. This brings two challenges. First, it becomes harder to modify existing knowledge or add new knowledge into the knowledge base. Second, it becomes harder to trace the results provided by the tool back to the design variables and model parameters. Current tools lack the scalability and traceability required to tackle these knowledge-intensive design evaluation problems. This work proposes a traceable and scalable rule-based architecture evaluation tool called VASSAR that is especially tailored to tackle knowledge-intensive problems that can be formulated as configuration design problems, which is demonstrated using the conceptual design task for a laptop. The methodology has three main steps. First, facts containing the capabilities and performance of different architectures are computed using rules containing physical and logical models. Second, capabilities are compared with requirements to assess satisfaction of each requirement. Third, requirement satisfaction is aggregated to yield a manageable number of metrics. An explanation facility keeps track of the value chain all along this process. This paper describes the methodology in detail and discusses in particular different implementations of preference functions as logical rules. A full-scale example around the design of Earth observing satellites is presented

Technology Decisions Under Architectural Uncertainty: Informing Investment Decisions Through Tradespace Exploration

Although NASA has yet to choose an architecture for human spaceflight beyond Earth orbit, they must pursue near-term investment in the enabling technologies that will be required for these future systems. Given this architectural uncertainty, it is difficult to define the value proposition of technology investments. This paper proposes a method for evaluating technology across a tradespace defined by architectural decisions. Main effects analysis is taken from design of experiments to quantify the influence that a technology has on the system being considered. This analysis also identifies couplings between technologies that are mutually exclusive or mutually beneficial. This method is applied to the architecture tradespace of transportation for future human exploration at Mars with a set of possible propellant, propulsion, and aerobraking technologies. The paper demonstrates that the evaluation of technologies against an individual reference architecture is flawed when the range of architectures being pursued remains diverse. Furthermore, it is shown that comparisons between fuzzy Pareto optimal architectures and heavily dominated architectures will distort the evaluated benefit of a technology. The resulting tradespace can be structured as the sequence in which technology decisions should be made, in order of their impact on the tradespace and their coupling to other decisions.United States. National Aeronautics and Space Administration (Massachusetts Institute of Technology Research Grant

Performance characterization of a multiplexed space-to-ground optical network

Advances in phased array systems for multi-beam free space optical communications are a key enabler for a new space-to-ground network architecture, namely a multiplexed optical architecture. The fundamental idea of a multiplexed space-to-ground optical network is the utilization of a multi-beam optical payload that allows each spacecraft to establish links with multiple ground stations within its line of sight. Information is then downlinked in parallel, from the satellite to the ground, through the subset of links not disrupted by clouds. In this paper we evaluate the performance of a multiplexed optical space-to-ground architecture from a systems perspective, with particular emphasis on the effect of cloud correlation in the network throughput. In particular, we first derive the expected data volume returned in a multiplexed architecture as a function of the optical network availability and the system total capacity. Then, we compare the performance of the proposed multiplexed architecture against a traditional single-beam downlink system that utilizes site diversity to mitigate cloud coverage effects. This comparison is based on two canonical scenarios, a global highly uncorrelated network representative of a geosynchronous satellite; and local, highly correlated, network representative of a low Earth orbit spacecraft. Through this analysis, we demonstrate that multiplexed architectures can improve the throughput of a space-to-ground optical network as compared to that of a single ground telescope without requiring a beam switching mechanism

Architecting space communication networks under mission demand uncertainty

NASAs Space Network has been a successful program that has provided reliable communication and navigation services for three decades. As the third generation of satellites is being launched, alternatives to the current architecture of the system are being studied in order to improve the performance of the system, reduce its costs and facilitate its integration with the Near Earth Network and the Deep Space Network. Within this context, past research has proven the feasibility of efficiently exploring a large space of alternative network architectures using a tradespace search framework. Architecting a space communication network is a complex task that requires consideration of uncertainty, namely (1) factoring in customer demand variability, (2) predicting technology improvements and (3) considering possible budgetary constraints. This paper focuses on adding uncertainty associated with (1) to the existing communications network architecture tool by describing a heuristic-based model to derive mission concept of operations (conops) as a function of communication requirements. The accuracy of the model is assessed by comparing real conops from current TDRSS-supported missions with the predicted concept of operations. The model is used to analyze how customer forecast uncertainty affects the choice of the future network architecture. In particular, four customer scenarios are generated and compared with the current TDRSS capabilities.United States. National Aeronautics and Space Administration (NNX11AR70G