The Larned A. Waterman Iowa Nonprofit Resource Center e-Newsletter, Summer 2016, Vol. 12, no. 4

The Larned A. Waterman Iowa Nonprofit Resource Center is a University of Iowa interdisciplinary collaboration created to make more accessible educational and service programs focused on strengthening the operational capacity of Iowa nonprofit organizations. The Center works collaboratively with government agencies, nonprofit organizations and educational institutions to impart new knowledge through activities and provide information and training resources to help nonprofit organizations and interested persons throughout Iowa. We seek to build the capacity and develop the effectiveness of community-based organizations and enhance the overall effectiveness of local organizations in building communities.

The Larned A. Waterman Iowa Nonprofit Resource Center e-Newsletter, Winter 2016-17, Vol. 13, no. 1

The Larned A. Waterman Iowa Nonprofit Resource Center is a University of Iowa interdisciplinary collaboration created to make more accessible educational and service programs focused on strengthening the operational capacity of Iowa nonprofit organizations. The Center works collaboratively with government agencies, nonprofit organizations and educational institutions to impart new knowledge through activities and provide information and training resources to help nonprofit organizations and interested persons throughout Iowa. We seek to build the capacity and develop the effectiveness of community-based organizations and enhance the overall effectiveness of local organizations in building communities.

The Larned A. Waterman Iowa Nonprofit Resource Center e-Newsletter, Spring 2011, Vol. 7, no. 1

The Larned A. Waterman Iowa Nonprofit Resource Center is a University of Iowa interdisciplinary collaboration created to make more accessible educational and service programs focused on strengthening the operational capacity of Iowa nonprofit organizations. The Center works collaboratively with government agencies, nonprofit organizations and educational institutions to impart new knowledge through activities and provide information and training resources to help nonprofit organizations and interested persons throughout Iowa. We seek to build the capacity and develop the effectiveness of community-based organizations and enhance the overall effectiveness of local organizations in building communities.

The Larned A. Waterman Iowa Nonprofit Resource Center e-Newsletter, Spring 2011, Vol. 7, no. 3

The Larned A. Waterman Iowa Nonprofit Resource Center is a University of Iowa interdisciplinary collaboration created to make more accessible educational and service programs focused on strengthening the operational capacity of Iowa nonprofit organizations. The Center works collaboratively with government agencies, nonprofit organizations and educational institutions to impart new knowledge through activities and provide information and training resources to help nonprofit organizations and interested persons throughout Iowa. We seek to build the capacity and develop the effectiveness of community-based organizations and enhance the overall effectiveness of local organizations in building communities.

Perfil logístico de Volkswagen desde la producción

Este análisis muestra detalladamente la línea de producción de la planta de Volkswagen, ubicada en México en el estado de Puebla. Se describe la capacidad operativa utilizada para satisfacer la demanda de la planta de producción de automóviles más grande de Latinoamérica, siendo clave para mantenerse en el mercado con estándares de calidad altos y contribuir al desarrollo de la economía del país. Asimismo, a nivel regional, esta planta se abastece de proveedores estratégicos ubicados en una zona cercana, ayudando a disminuir costos de transporte de piezas y tiempos de respuesta. Inicialmente se realiza una breve descripción del entorno económico de la empresa a nivel regional y del sector a nivel global para hacer énfasis en lo competitivo que es el mercado de la producción de automóviles. Posteriormente se describe la finalidad que tiene esta misión empresarial soportada por la Universidad del Rosario, donde se afianzan conocimientos importantes sobre un mercado de talla mundial. El siguiente aspecto es un diagnóstico de la empresa, donde se dan a conocer las marcas que hacen parte del grupo Volkswagen y la situación financiera que refleja la marca desde el 2012, revelando los ingresos obtenidos durante el período 2012-2014, gastos operacionales y factores que no se destacan positivamente como un flujo de caja negativo para el 2014. Posteriormente se plasman los conceptos teóricos necesarios para que el lector comprenda las variables inmersas en una planta de producción, destacando la teoría de colas y el diseño del layout de la empresa. Finalmente, se da una descripción detallada del proceso de producción en esta planta, donde se muestra la línea de producción, el ensamble y la importancia de un sistema operativo interno que depende principalmente de una alta inversión de tecnología e ingeniería que permite obtener un mayor beneficio en cada etapa del proceso.

Building climate change resilience and adaptive capacity in Australia’s community sector using social media and technology innovation

Public and private sector organisations worldwide are putting strategies in place to manage the commercial and operational risks of climate change. However, community organisations are lagging behind in their understanding and preparedness, despite them being among the most exposed to the effects of climate change impacts and regulation. This poster presents a proposal for a multidisciplinary study that addresses this issue by developing, testing and applying a novel climate risk assessment methodology that is tailored to the needs of Australia’s community sector and its clients. Strategies to mitigate risks and build resilience and adaptive capacity will be identified including new opportunities afforded by urban informatics, social media, and technologies of scale making.

Understanding the impact of strategic alignment on the operational performance of post implemented technological innovations

Purpose – The purpose of this paper is to examine the role of three strategies - organisational, business and information system – in post implementation of technological innovations. The findings reported in the paper are that improvements in operational performance can only be achieved by aligning technological innovation effectiveness with operational effectiveness. Design/methodology/approach – A combination of qualitative and quantitative methods was used to apply a two-stage methodological approach. Unstructured and semi structured interviews, based on the findings of the literature, were used to identify key factors used in the survey instrument design. Confirmatory factor analysis (CFA) was used to examine structural relationships between the set of observed variables and the set of continuous latent variables. Findings – Initial findings suggest that organisations looking for improvements in operational performance through adoption of technological innovations need to align with operational strategies of the firm. Impact of operational effectiveness and technological innovation effectiveness are related directly and significantly to improved operational performance. Perception of increase of operational effectiveness is positively and significantly correlated with improved operational performance. The findings suggest that technological innovation effectiveness is also positively correlated with improved operational performance. However, the study found that there is no direct influence of strategiesorganisational, business and information systems (IS) - on improvement of operational performance. Improved operational performance is the result of interactions between the implementation of strategies and related outcomes of both technological innovation and operational effectiveness. Practical implications – Some organisations are using technological innovations such as enterprise information systems to innovate through improvements in operational performance. However, they often focus strategically only on effectiveness of technological innovation or on operational effectiveness. Such a focus will be detrimental in the long-term of the enterprise. This research demonstrated that it is not possible to achieve maximum returns through technological innovations as dimensions of operational effectiveness need to be aligned with technological innovations to improve their operational performance. Originality/value – No single technological innovation implementation can deliver a sustained competitive advantage; rather, an advantage is obtained through the capacity of an organisation to exploit technological innovations’ functionality on a continuous basis. To achieve sustainable results, technology strategy must be aligned with organisational and operational strategies. This research proposes the key performance objectives and dimensions that organisations should focus to achieve a strategic alignment. Research limitations/implications – The principal limitation of this study is that the findings are based on investigation of small sample size. There is a need to explore the appropriateness of influence of scale prior to generalizing the results of this study.

Busway platform bus capacity analysis

Bus Rapid Transit (BRT), because of its operational flexibility and simplicity, is rapidly gaining popularity with urban designers and transit planners. Earlier BRTs were bus shared lane or bus only lane, which share the roadway with general and other forms of traffic. In recent time, more sophisticated designs of BRT have emerged, such as busway, which has separate carriageway for buses and provides very high physical separation of buses from general traffic. Line capacities of a busway are predominately dependent on bus capacity of its stations. Despite new developments in BRT designs, the methodology of capacity analysis is still based on traditional principles of kerbside bus stop on bus only lane operations. Consequently, the tradition methodology lacks accounting for various dimensions of busway station operation, such as passenger crowd, passenger walking and bus lost time along the long busway station platform. This research has developed a purpose made bus capacity analysis methodology for busway station analysis. Extensive observations of kerbside bus stops and busway stations in Brisbane, Australia were made and differences in their operation were studied. A large scale data collection was conducted using the video recording technique at the Mater Hill Busway Station on the South East Busway in Brisbane. This research identified new parameters concerning busway station operation, and through intricate analysis identified the elements and processes which influence the bus dwell time at a busway station platform. A new variable, Bus lost time, was defined and its quantitative descriptions were established. Based on these finding and analysis, a busway station platform bus capacity methodology was developed, comprising of new models for busway station lost time, busway station dwell time, busway station loading area bus capacity, and busway station platform bus capacity. The new methodology not only accounts for passenger boarding and alighting, but also covers platform crowd and bus lost time in station platform bus capacity estimation. The applicability of this methodology was shown through demonstrative examples. Additionally, these examples illustrated the significance of the bus lost time variable in determining station capacities.

Modeling bus rapid transit station bus queuing for operational analysis

This paper presents mathematical models for BRT station operation, calibrated using microscopic simulation modelling. Models are presented for station capacity and bus queue length. No reliable model presently exists to estimate bus queue length. The proposed bus queue model is analogous to an unsignalized intersection queuing model.

Stochastic analysis of transit route segments' passenger load variation for capacity & quality of service assessment

This study uses weekday Automatic Fare Collection (AFC) data on a premium bus line in Brisbane, Australia •Stochastic analysis is compared to peak hour factor (PHF) analysis for insight into passenger loading variability •Hourly design load factor (e.g. 88th percentile) is found to be a useful method of modeling a segment’s passenger demand time-history across a study weekday, for capacity and QoS assessment •Hourly coefficient of variation of load factor is found to be a useful QoS and operational assessment measure, particularly through its relationship with hourly average load factor, and with design load factor •An assessment table based on hourly coefficient of variation of load factor is developed from the case study

Multi-objective models and techniques for analysing the absolute capacity of railway networks

Railway capacity determination and expansion are very important topics. In prior research, the competition between different entities such as train services and train types, on different network corridors however have been ignored, poorly modelled, or else assumed to be static. In response, a comprehensive set of multi-objective models have been formulated in this article to perform a trade-off analysis. These models determine the total absolute capacity of railway networks as the most equitable solution according to a clearly defined set of competing objectives. The models also perform a sensitivity analysis of capacity with respect to those competing objectives. The models have been extensively tested on a case study and their significant worth is shown. The models were solved using a variety of techniques however an adaptive E constraint method was shown to be most superior. In order to identify only the best solution, a Simulated Annealing meta-heuristic was implemented and tested. However a linearization technique based upon separable programming was also developed and shown to be superior in terms of solution quality but far less in terms of computational time.

Optimization models for expanding a railway’s theoretical capacity

Changing the topology of a railway network can greatly affect its capacity. Railway networks however can be altered in a multitude of different ways. As each way has significant immediate and long term financial ramifications, it is a difficult task to decide how and where to expand the network. In response some railway capacity expansion models (RCEM) have been developed to help capacity planning activities, and to remove physical bottlenecks in the current railway system. The exact purpose of these models is to decide given a fixed budget, where track duplications and track sub divisions should be made, in order to increase theoretical capacity most. These models are high level and strategic, and this is why increases to the theoretical capacity is concentrated upon. The optimization models have been applied to a case study to demonstrate their application and their worth. The case study evidently shows how automated approaches of this nature could be a formidable alternative to current manual planning techniques and simulation. If the exact effect of track duplications and sub-divisions can be sufficiently approximated, this approach will be very applicable.

A multi-criteria approach for hospital capacity analysis

Hospitals are critical elements of health care systems and analysing their capacity to do work is a very important topic. To perform a system wide analysis of public hospital resources and capacity, a multi-objective optimization (MOO) approach has been proposed. This approach identifies the theoretical capacity of the entire hospital and facilitates a sensitivity analysis, for example of the patient case mix. It is necessary because the competition for hospital resources, for example between different entities, is highly influential on what work can be done. The MOO approach has been extensively tested on a real life case study and significant worth is shown. In this MOO approach, the epsilon constraint method has been utilized. However, for solving real life applications, with a large number of competing objectives, it was necessary to devise new and improved algorithms. In addition, to identify the best solution, a separable programming approach was developed. Multiple optimal solutions are also obtained via the iterative refinement and re-solution of the model.

Cultural differences and capability transfer in cross-border acquisitions: the mediating roles of capability complementarity, absorptive capacity, and social integration

This paper presents an integrative model of the impact of cultural differences on capability transfer in cross-border acquisitions. We propose that cultural differences affect the post-acquisition capability transfer through their impact on social integration, potential absorptive capacity, and capability complementarity. Two dynamic variables – the use of social integration mechanisms, and the degree of operational integration of the acquired unit – are proposed to moderate the effects of cultural differences on social integration and potential absorptive capacity. The implications for acquisition research and practice are discussed.

Operational experience on a grid connected 100 kWe biomass gasification power plant in Karnataka, India

The paper reports the operational experience from a 100 kWe gasification power plant connected to the grid in Karnataka. Biomass Energy for Rural India (BERI) is a program that implemented gasification based power generation with an installed capacity of 0.88 MWe distributed over three locations to meet the electrical energy needs in the district of Tumkur. The operation of one 100 kWe power plant was found unsatisfactory and not meeting the designed performance. The Indian Institute of Science, Bangalore, the technology developer, took the initiative to ensure the system operation, capacity building and prove the designed performance. The power plant connected to the grid consists of the IISc gasification system which includes reactor, cooling, cleaning system, fuel drier and water treatment system to meet the producer gas quality for an engine. The producer gas is used as a fuel in Cummins India Limited, GTA 855 G model, turbo charged engine and the power output is connected to the grid. The system has operated for over 1000 continuous hours, with only about 70 h of grid outages. The total biomass consumption for 1035 h of operation was 111 t at an average of 107 kg/h. Total energy generated was 80.6 MWh reducing over loot of CO(2) emissions. The overall specific fuel consumption was about 1.36 kg/kWh, amounting to an overall efficiency from biomass to electricity of about 18%. The present operations indicate that a maintenance schedule for the plant can be at the end of 1000 h. The results for another 1000 h of operation by the local team are also presented. (C) 2011 International Energy Initiative. Published by Elsevier Inc. All rights reserved.