BIM for sustainable whole-of-life transport infrastructure asset management

The US National Institute of Standards and Technology (NIST) showed that, in 2004, owners and operations managers bore two thirds of the total industry cost burden from inadequate interoperability in construction projects from inception to operation, amounting to USD10.6 billion. Building Information Modelling (BIM) and similar tools were identified by Engineers Australia in 2005 as potential instruments to significantly reduce this sum, which in Australia could amount to total industry-wide cost burden of AUD12 billion. Public sector road authorities in Australia have a key responsibility in driving initiatives to reduce greenhouse gas emissions from the construction and operations of transport infrastructure. However, as previous research has shown the Environmental Impact Assessment process, typically used for project approvals and permitting based on project designs available at the consent stage, lacks Key Performance Indicators (KPIs) that include long-term impact factors and transfer of information throughout the project life cycle. In the building construction industry, BIM is widely used to model sustainability KPIs such as energy consumption, and integrated with facility management systems. This paper proposes that a similar use of BIM in early design phases of transport infrastructure could provide: (i) productivity gains through improved interoperability and documentation; (ii) the opportunity to carry out detailed cost-benefit analyses leading to significant operational cost savings; (iii) coordinated planning of street and highway lighting with other energy and environmental considerations; iv) measurable KPIs that include long-term impact factors which are transferable throughout the project life cycle; and (v) the opportunity for integrating design documentation with sustainability whole-of-life targets.

Making More from Sheep Phase II : MMfS State Coordination – Queensland

Making More from Sheep (MMfS) is a majority market extension program funded by Meat & Livestock Australia (MLA) and Australian Wool Innovation (AWI). Phase II of MMfS commenced in Queensland with a business planning process in October 2010 and delivery from November 2010 until November 2013. Mr Tony Hamilton of the Department of Agriculture, Fisheries and Forestry (DAFF) was initially the State Coordinator with responsibility for planning, project implementation, monitoring and evaluation. He was replaced by Ms Nicole Sallur from DAFF towards the end of the project. Delivery involving partner organisations provided best practice management information and tools to sheep producers with target Key Performance Indicators (KPI’s) exceeded across all three tiers of engagement category. 31 events were delivered to 551 participants. Satisfaction and value scores averaged across all events measured 8.7 and 8.2 respectively. Operational recommendations have been included in the report.

Leveraging lessons learned in organizations through implementing practice-based organizational learning and performance improvement - An opportunity for context-based intelligent assistant support (CIAS)

Organizations that leverage lessons learned from their experience in the practice of complex real-world activities are faced with five difficult problems. First, how to represent the learning situation in a recognizable way. Second, how to represent what was actually done in terms of repeatable actions. Third, how to assess performance taking account of the particular circumstances. Fourth, how to abstract lessons learned that are re-usable on future occasions. Fifth, how to determine whether to pursue practice maturity or strategic relevance of activities. Here, organizational learning and performance improvement are investigated in a field study using the Context-based Intelligent Assistant Support (CIAS) approach. A new conceptual framework for practice-based organizational learning and performance improvement is presented that supports researchers and practitioners address the problems evoked and contributes to a practice-based approach to activity management. The novelty of the research lies in the simultaneous study of the different levels involved in the activity. Route selection in light rail infrastructure projects involves practices at both the strategic and operational levels; it is part managerial/political and part engineering. Aspectual comparison of practices represented in Contextual Graphs constitutes a new approach to the selection of Key Performance Indicators (KPIs). This approach is free from causality assumptions and forms the basis of a new approach to practice-based organizational learning and performance improvement. The evolution of practices in contextual graphs is shown to be an objective and measurable expression of organizational learning. This diachronic representation is interpreted using a practice-based organizational learning novelty typology. This dissertation shows how lessons learned when effectively leveraged by an organization lead to practice maturity. The practice maturity level of an activity in combination with an assessment of an activity’s strategic relevance can be used by management to prioritize improvement effort.

Performance measurement and benchmarking of a major innovation programme

Purpose: The purpose of this paper is to describe the problems encountered and the solutions developed when using benchmarking and key performance indicators (KPIs) to monitor a major UK social house building innovation (change) programme. The innovation programme sought improvements to both the quality of the house product and the procurement process. Design/methodology/approach: Benchmarking and KPIs were used to quantify performance and in-depth case studies to identify underlying cause and effect relationships within the innovation programme. Findings: The inherent competition between consortium members; the complexity of the relationship between the consortium and its strategic partner; the lack of an authoritative management control structure; and the rapidly changing nature of the UK social housing market all proved problematic to the development of a reliable and robust monitoring system. These problems were overcome by the development of multi-dimensional benchmarking model that balanced the needs and aspirations of the individual organisations with the broader objectives of the consortium. Research limitations/implications: Whilst the research methodology provides insight into the factors that affected the performance of a major innovation programme its findings may not be representative of all projects. Practical implications: The lessons learnt should assist those developing benchmarking models for multi-client consortia. Originality/value: The work reported in this paper describes an inclusive approach to benchmarking in which a multiple client group and their strategic partner sought to work together for shared gain. Very few papers have addressed this issue.

Robust food supply supply chains:An integrated framework for vulnerability assessment and disturbance management

The operation of supply chains (SCs) has for many years been focused on efficiency, leanness and responsiveness. This has resulted in reduced slack in operations, compressed cycle times, increased productivity and minimised inventory levels along the SC. Combined with tight tolerance settings for the realisation of logistics and production processes, this has led to SC performances that are frequently not robust. SCs are becoming increasingly vulnerable to disturbances, which can decrease the competitive power of the entire chain in the market. Moreover, in the case of food SCs non-robust performances may ultimately result in empty shelves in grocery stores and supermarkets.
The overall objective of this research is to contribute to Supply Chain Management (SCM) theory by developing a structured approach to assess SC vulnerability, so that robust performances of food SCs can be assured. We also aim to help companies in the food industry to evaluate their current state of vulnerability, and to improve their performance robustness through a better understanding of vulnerability issues. The following research questions (RQs) stem from these objectives:
RQ1: What are the main research challenges related to (food) SC robustness?
RQ2: What are the main elements that have to be considered in the design of robust SCs and what are the relationships between these elements?
RQ3: What is the relationship between the contextual factors of food SCs and the use of disturbance management principles?
RQ4: How to systematically assess the impact of disturbances in (food) SC processes on the robustness of (food) SC performances?
To answer these RQs we used different methodologies, both qualitative and quantitative. For each question, we conducted a literature survey to identify gaps in existing research and define the state of the art of knowledge on the related topics. For the second and third RQ, we conducted both exploration and testing on selected case studies. Finally, to obtain more detailed answers to the fourth question, we used simulation modelling and scenario analysis for vulnerability assessment.
Main findings are summarised as follows.
Based on an extensive literature review, we answered RQ1. The main research challenges were related to the need to define SC robustness more precisely, to identify and classify disturbances and their causes in the context of the specific characteristics of SCs and to make a systematic overview of (re)design strategies that may improve SC robustness. Also, we found that it is useful to be able to discriminate between varying degrees of SC vulnerability and to find a measure that quantifies the extent to which a company or SC shows robust performances when exposed to disturbances.
To address RQ2, we define SC robustness as the degree to which a SC shows an acceptable performance in (each of) its Key Performance Indicators (KPIs) during and after an unexpected event that caused a disturbance in one or more logistics processes. Based on the SCM literature we identified the main elements needed to achieve robust performances and structured them together to form a conceptual framework for the design of robust SCs. We then explained the logic of the framework and elaborate on each of its main elements: the SC scenario, SC disturbances, SC performance, sources of food SC vulnerability, and redesign principles and strategies.
Based on three case studies, we answered RQ3. Our major findings show that the contextual factors have a consistent relationship to Disturbance Management Principles (DMPs). The product and SC environment characteristics are contextual factors that are hard to change and these characteristics initiate the use of specific DMPs as well as constrain the use of potential response actions. The process and the SC network characteristics are contextual factors that are easier to change, and they are affected by the use of the DMPs. We also found a notable relationship between the type of DMP likely to be used and the particular combination of contextual factors present in the observed SC.
To address RQ4, we presented a new method for vulnerability assessments, the VULA method. The VULA method helps to identify how much a company is underperforming on a specific Key Performance Indicator (KPI) in the case of a disturbance, how often this would happen and how long it would last. It ultimately informs the decision maker about whether process redesign is needed and what kind of redesign strategies should be used in order to increase the SC’s robustness. The VULA method is demonstrated in the context of a meat SC using discrete-event simulation. The case findings show that performance robustness can be assessed for any KPI using the VULA method.
To sum-up the project, all findings were incorporated within an integrated framework for designing robust SCs. The integrated framework consists of the following steps: 1) Description of the SC scenario and identification of its specific contextual factors; 2) Identification of disturbances that may affect KPIs; 3) Definition of the relevant KPIs and identification of the main disturbances through assessment of the SC performance robustness (i.e. application of the VULA method); 4) Identification of the sources of vulnerability that may (strongly) affect the robustness of performances and eventually increase the vulnerability of the SC; 5) Identification of appropriate preventive or disturbance impact reductive redesign strategies; 6) Alteration of SC scenario elements as required by the selected redesign strategies and repeat VULA method for KPIs, as defined in Step 3.
Contributions of this research are listed as follows. First, we have identified emerging research areas - SC robustness, and its counterpart, vulnerability. Second, we have developed a definition of SC robustness, operationalized it, and identified and structured the relevant elements for the design of robust SCs in the form of a research framework. With this research framework, we contribute to a better understanding of the concepts of vulnerability and robustness and related issues in food SCs. Third, we identified the relationship between contextual factors of food SCs and specific DMPs used to maintain robust SC performances: characteristics of the product and the SC environment influence the selection and use of DMPs; processes and SC networks are influenced by DMPs. Fourth, we developed specific metrics for vulnerability assessments, which serve as a basis of a VULA method. The VULA method investigates different measures of the variability of both the duration of impacts from disturbances and the fluctuations in their magnitude.
With this project, we also hope to have delivered practical insights into food SC vulnerability. First, the integrated framework for the design of robust SCs can be used to guide food companies in successful disturbance management. Second, empirical findings from case studies lead to the identification of changeable characteristics of SCs that can serve as a basis for assessing where to focus efforts to manage disturbances. Third, the VULA method can help top management to get more reliable information about the “health” of the company.
The two most important research opportunities are: First, there is a need to extend and validate our findings related to the research framework and contextual factors through further case studies related to other types of (food) products and other types of SCs. Second, there is a need to further develop and test the VULA method, e.g.: to use other indicators and statistical measures for disturbance detection and SC improvement; to define the most appropriate KPI to represent the robustness of a complete SC. We hope this thesis invites other researchers to pick up these challenges and help us further improve the robustness of (food) SCs.

Key performance indicators – A new approach for specifying concrete and assessing state of health of concrete structure

The focus of this paper is to outline a method for consolidating and implementing the work on performance-based specification and testing. First part of the paper will review the mathematical significance of the variables used in common service life models. The aim is to identify a set of significant variables that influence the ingress of chloride ions into concrete. These variables are termed as Key Performance Indicators (KPI’s). This will also help to reduce the complexity of some of the service life models and make them more appealing for practicing engineers. The second part of the paper presents a plan for developing a database based on these KPI’s so that relationships can then be drawn between common concrete mix parameters and KPI’s. This will assist designers in specifying a concrete with adequate performance for a particular environment. This, collectively, is referred to as the KPI based approach and the concluding remarks will outline how the authors envisage the KPI theory to relate to performance assessment and monitoring.

O estado da arte da avaliação de desempenho no comércio a retalho em Portugal

Esta dissertação tem como principal objectivo analisar a avaliação de desempenho no âmbito do sector do comércio a retalho em Portugal. Para o cumprimento deste objectivo caracterizou-se o sector do retalho em Portugal onde expomos uma avaliação do actual estado da arte no que diz respeito à avaliação de desempenho das empresas neste sector de negócio. Esta avaliação permite-nos sugerir áreas que requerem melhorias e auxiliar nas estratégias de implementações futuras de sistemas de avaliação de desempenho. Foi necessária uma recolha pormenorizada de informação, recorrendo a questionários que foram administrados às empresas do sector do comércio a retalho em Portugal. Tendo por base a analise realizada, conclui-se que a implementação de sistemas de avaliação de desempenho no comércio a retalho em Portugal está interligada com a dimensão das empresas, constatando-se que nas empresas do sector com menor dimensão, a falta de conhecimento sobre o tema em questão é enorme e a sua aplicabilidade extremamente reduzida. No sector do comércio a retalho, o sistema de avaliação de desempenho mais usado é o sistema não formal, seguido dos kpi’s ou indicadores chave de desempenho, que são aplicados na maioria das empresas há mais de 3 anos e têm como principal objectivo o controlo financeiro. Tendo em conta a falta de informação manifestada pela grande maioria das empresas inquiridas relativamente ao tema da avaliação do desempenho, é nossa convicção que este estudo poderá ser uma importante fonte de conhecimento para o sector do comércio a retalho em Portugal.

Caracterização do desempenho das redes rodoviárias com base em modelos de afetação de tráfego: aplicação à Rede Rodoviária Nacional

Relatório de estágio para obtenção do grau de Mestre em Engenharia Civil na Área de Especialização em Vias de Comunicação e Transportes

Business model analysis of Mobitto: How to solve the chicken and egg problem of a multi-sided platform?

A Work Project, presented as part of the requirements for the Award of a Masters Degree in Management from the NOVA – School of Business and Economics

How to monitor and improve Unilever JM Supply Chain processes to become the best of Portugal’s sector in 2015?

Unilever Jerónimo Martins is a Portuguese joint-venture leading firm in what concerns the supply chain industry of fast-moving consumer goods in Portugal. The scope of analysis of this Work Project is focusing on Unilever-JM operations and services in the Portuguese market regarding quality, efficiency and effectiveness over B2B customers. It will be analysed the possibility of development and implementation of a performance measurement system, Tableau de Bord, which will be crucial for the identification of potential opportunities of improvement with impact in the supply chain processes. This will be completed through the establishment of KPI’s to monitor and manage periodically logistics, planning and customer service processes’ performance, which are the ones where the bottlenecks are impacting more in the supply chain. In this work project the nexus causality for the problems will also be discussed and some recommendations will be prepared to tackle the inefficiencies found through the monitoring of the previous core processes, in order to improve efficacy and quality service of the supply chain.

Customer relationship management at Siemens Healthcare – a diagnosis and proposal for strategy and market segmentation

Towards a holistic perspective of CRM, this project aims to diagnose and propose a strategy and market segmentation for Siemens Healthcare. The main underlying principle is to apply a full customer-centric outlook taking own business properties into consideration while preserving Siemens Healthcare’s culture and vision. Mainly focused on market segmentation, this project goes beyond established boundaries by employing an unbiased perspective of CRM while challenging current strategy, goals, processes, tools, initiatives and KPIs. In order to promote a sustainable business excellence strategy, this project aspires to streamline CRM strategic importance and driving the company one step forward.

Reinvigorating and redesigning early intervention in psychosis services for young people in Auckland

RESUMO: Auckland tem sido pioneira na implementação de modelos de Intervenção Precoce em Psicose. No entanto, esta organização do serviço não mudou nos últimos 19 anos. Segundo os dados obtidos da utilização do serviço, no período de 1996 -2012 foram atendidos 997 doentes, que tinham um número médio de 89 contactos (IQR: 36-184), com uma duração média de 62 horas de contactos (IQR: 24-136). Estes doentes passaram um número médio de 338 dias (IQR: 93-757) em contacto com o programa. 517 doentes (52%) não necessitaram de internamento no hospital, e os que foram internados, ficaram uma mediana de 124 dias no hospital (IQR: 40-380). Os doentes asiáticos tiveram um aumento de 50% de probabilidade de serem internados no hospital. Este relatório inclui 15 recomendações para orientar as reformas para o serviço e, nomeadamente, delinear a importância de uma visão organizacional e dos seus componentes-chave. As recomendações incluem o reforço da gestão e da liderança numa estrutura de equipe mais integrada, com recursos dedicados a melhorar a consciencialização da comunidade, a educação e deteção precoce, bem como a capacidade de receber referenciações diretas. Os Indicadores Chave de Desempenho devem ser estabelecidos, mas os Exames de Estado Mental em risco, devem ser removidos. Auckland deve manter a faixa etária alvo atual. A duração do serviço deve ser aumentada para um mínimo de três anos, com a opção de aumentá-la para cinco anos. A proporção de gestor de cuidados para os doentes deve ser preconizada em 1:15, enquanto o pessoal de apoio não-clínico deve ser aumentado. Os psiquiatras devem ter uma carga de trabalho de cerca de 80 doentes por equivalente de tempo completo. Um serviço local de prestação de cuidados deve ser desenvolvido com, nomeadamente, intervenções culturais para responder às necessidades da população multicultural de Auckland. A capacidade de investigação deve ser incorporada no Serviço de Intervenção Precoce em Psicoses. Qualquer alteração deverá envolver contacto com todas as partes interessadas, e a Administração Regional de Saúde deve comprometer-se em tempo, recursos humanos e políticos para apoiar e facilitar a mudança do sistema, investindo de forma significativa para melhor servir a comunidade Auckland.----------------------------------- ABSTRACT: Auckland has been pioneering in the adoption of Early Intervention in Psychosis models but the design of the service has not changed in 19 years. In service utilisation data from 997 patients seen from 1996 -2012, patients had a median number of 89 contacts (IQR: 36-184), with a median duration of 62 hours of contact (IQR: 24-136). Patients spent a median number of 338 days (IQR: 93-757) in contact with the program. 517 patients (52%) did not require admission to hospital, and those who did spent a median of 124 days in hospital (IQR: 40-380). Asian patients had a 50% increased chance of being admitted to hospital. This report includes 15 recommendations to guide reforms to the service, including outlining the importance of vision and key components. It recommends strengthened managerial leadership and a more integrated team structure with dedicated resources for improved community awareness, education and early detection as well as the capacity to take direct referrals. Key Performance Indicators (KPIs) should be established but At Risk Mental States should be excluded. Auckland should maintain the current target age range. The duration of service should be increased to a minimum of three years, with the option to extend this to five years. The ratio of care co-ordinator to patients should be capped at 1:15 whilst non-clinical supporting staff should be increased. Psychiatrists should have a caseload of about 80 per FTE. A local Service Delivery framework should be developed, as should cultural interventions to meet the needs of the multicultural population of Auckland. Research capacity should be incorporated into the fabric of Early Intervention in Psychosis Services. Any changes should involve consultation with all stakeholders, and the DHB should commit to investing time, human and political resources to support and facilitate meaningful system change to best serve the Auckland community.

A behavioral perspective on the effects of using performance measurement systems in the companies: Evidence from a case study

The effects of PMSs on the people’s behaviour represent a high degree of relevance in the context of an organization performance and success. Thus, motivational and behavioural consequences of performance measurements are far from being totally understood (Franco-Santos et al., 2012). This work project (WP) purposes going further regarding the consequences/effects on people’s behaviour of using PMSs in organizations. The researcher conducted 11 interviews to managers during a nine-month internship as a controller in a Portuguese multi-national company. The evidence from this WP suggests that the way how managers understand a PMS determines a lot the way how they behave. Data also supports that PMSs influences in several ways motivation, perceptions, participation and job-related stress of managers.

Assessing fraud risk of selecção, contratação e manutenção de fornecedores process of Sonae Investimentos

The present Work Project (WP) is the result of Sonae’s concern with fraud risk, seeking to implement a method that formally describes and evaluates it in its various forms. In a context of limited human, capital, time and tools’ resources, the Internal Audit (IA) department of the company developed a framework to raise the awareness of top management and identify which processes of its value chain present a higher level of exposure to fraud, with the purpose of redirecting attention to those and prioritizing the creation of new mechanisms to monitor its KPIs’ dynamics.

Modelo de desarrollo de iniciativas en la industria digital

El siguiente documento contiene, en primer lugar la caracterización del sector de las Industrias Digitales, construida a partir de la recopilación de información, datos y estadísticas y basada en el contexto que presenta dicha industria, se presentan además diferentes teorías que permiten el entendimiento del desarrollo de iniciativas digitales desde un perspectiva académica dando peso a los argumentos planteados, dentro de estas se establece como fuente de investigación principal la planteada por Eric Ries quien presenta la metodología Lean Startup, base de la construcción del modelo que se construye como herramienta fundamental para dar soporte a la creación y ejecución de nuevas iniciativas para la industria, de forma que los interesados encuentren una manera sencilla y efectiva de volver tangible, útil y sostenible su idea acompañada de un soporte teórico y académico y permitiendo la disminución de la informalidad en el sector.