Maintenance strategy optimization using a continuous-state partially observable semi-Markov decision process

Due to the limitation of current condition monitoring technologies, the estimates of asset health states may contain some uncertainties. A maintenance strategy ignoring this uncertainty of asset health state can cause additional costs or downtime. The partially observable Markov decision process (POMDP) is a commonly used approach to derive optimal maintenance strategies when asset health inspections are imperfect. However, existing applications of the POMDP to maintenance decision-making largely adopt the discrete time and state assumptions. The discrete-time assumption requires the health state transitions and maintenance activities only happen at discrete epochs, which cannot model the failure time accurately and is not cost-effective. The discrete health state assumption, on the other hand, may not be elaborate enough to improve the effectiveness of maintenance. To address these limitations, this paper proposes a continuous state partially observable semi-Markov decision process (POSMDP). An algorithm that combines the Monte Carlo-based density projection method and the policy iteration is developed to solve the POSMDP. Different types of maintenance activities (i.e., inspections, replacement, and imperfect maintenance) are considered in this paper. The next maintenance action and the corresponding waiting durations are optimized jointly to minimize the long-run expected cost per unit time and availability. The result of simulation studies shows that the proposed maintenance optimization approach is more cost-effective than maintenance strategies derived by another two approximate methods, when regular inspection intervals are adopted. The simulation study also shows that the maintenance cost can be further reduced by developing maintenance strategies with state-dependent maintenance intervals using the POSMDP. In addition, during the simulation studies the proposed POSMDP shows the ability to adopt a cost-effective strategy structure when multiple types of maintenance activities are involved.

Autonomous vehicle path planning for persistence monitoring under uncertainty using Gaussian based Markov decision process

One of the main challenges facing online and offline path planners is the uncertainty in the magnitude and direction of the environmental energy because it is dynamic, changeable with time, and hard to forecast. This thesis develops an artificial intelligence for a mobile robot to learn from historical or forecasted data of environmental energy available in the area of interest which will help for a persistence monitoring under uncertainty using the developed algorithm.

One rapidly growing market of Sweden: organic food : A qualitative study portraying some consumers’ decision to purchase organic food

In recent years there has been a significantly rising trend amongst consumers for health and environmental issues, which has resulted in greater attention for and sales of organic food. Organic food production strives to use natural resources, such as land, energy and water in a sustainable way and the products does not contain artificial fertilizers or chemical pesticides. However, organic food products are also often more expensive and less available in comparison to conventional food products. Despite this, interest for and sales of organic food products have increased around the globe, and in Sweden particularly, the increase in sales has grown largely from an international perspective. This thesis is of qualitative character and is focused on studying some consumers from the Swedish market of organic food. The purpose of this thesis is to contribute with a better understanding on the buying decision process regarding organic food purchase. To achieve this, the authors have studied some consumers that purchase organic food and have searched for patterns that could be identified in the decision process. The consumer buying decision process model has been used for portrayal of the chosen consumers’ decision to purchase organic food products. Interviews with six Swedish consumers were conducted, whereas each respondent continuously purchase organic food products. Results show that the purchase of organic food products begins with discovering an unsatisfied need state, which the consumers of this study desired to change with the purchase of organic food products. This study show how six consumers reason when passing through the stages of the buying decision process, in order to satisfy their desired need state. The authors found that the respondents feel satisfied with purchasing organic food products, which lead them in to continuously buying these products. Altogether, the findings contribute with knowledge that can come to be helpful when wanting to understand more about the consumer decision to purchase organic food.

Supporting the online consumer decision process : electronic commerce in a small Australian retailer

The paper explores ways in which online retailers of physical products can utilise the Internet to support their consumers’ decision making processes. The approach followed by a small Australian retailer in selling boots online is examined. The case is analysed using theoretical constructs from consumer behaviour. It is concluded that it is indeed feasible even for small online retailers to successfully sell “look and feel” type goods such as footwear over the Internet. However, for this to occur, high levels of customer support is essential and online retailers need to engender consumer trust in terms of payment processing and product delivery.

Corporate governance and its influence on the investment decision process of equity market's professionals: An inside view of how corporate governance issues influence the decision-making process of sell-side and buy-side professionals when analyzing Brazilian listed companies

Corporate governance has been in the spotlight for the past two decades, being subject of numerous researches all over the world. Governance is pictured as a broad and diverse theme, evolving through different routes to form distinct systems. This scenario together with 2 types of agency problems (investor vs. management and minorities vs. controlling shareholders) produce different definitions for governance. Usually, studies investigate whether corporate governance structures influence firm performance, and company valuation. This approach implies investors can identify those impacts and later take them into consideration when making investment decisions. However, behavioral finance theory shows that not always investors take rational decisions, and therefore the modus operandi of those professionals needs to be understood. So, this research aimed to investigate to what extent Brazilian corporate governance standards and practices influence the investment decision-making process of equity markets' professionals from the sell-side and buy-side. This exploratory study was carried out through qualitative and quantitative approaches. In the qualitative phase, 8 practitioners were interviewed and 3 dimensions emerged: understanding, pertinence and practice. Based on the interviews’ findings, a questionnaire was formulated and distributed to buy-siders and sell-siders that cover Brazilian stocks. 117 respondents from all over the world contributed to the study. The data obtained were analyzed through structural equation modeling and descriptive statistics. The 3 dimensions became 5 constructs: definition (institutionalized governance, informal governance), pertinence (relevance), practice (valuation process, structured governance assessment) The results of this thesis suggest there is no definitive answer, as the extent to which governance will influence an investment decision process will depend on a number of circumstances which compose the context. The only certainty is the need to present a “corporate governance behavior”, rather than simply establishing rules and regulations at firm and country level.

Strategic decision making in international firms: effect of top management team internationalization on international strategic decision process

In this research project, I have integrated two research streams on international strategic decisions making in international firms: upper echelons or top management teams (TMT) internationalization research and international strategic decision making process research. Both research streams in international business literature have evolved independently, but there is a potential in combining these two streams of research. The first empirical paper “TMT internationalization and international strategic decision making process: a decision level analysis of rationality, speed, and performance” explores the influence of TMT internationalization on strategic decision rationality and speed and, subsequently, their effect on international strategic decision effectiveness (performance). The results show that the internationalization of TMT is positively related to decision effectiveness and this relationship is mediated by decision rationality while the hypotheses regarding the association between TMT internationalization and decision speed, and the mediating effect of speed were not supported. The second paper “TMT internationalization and international strategic decision rationality: the mediating role of international information” of my thesis is a simple but logical extension of first paper. The first paper showed that TMT Internationalization has a significant positive effect on international strategic decision rationality. The second paper explicitly showed that TMT internationalization affect on international strategic decision rationality comes from two sources: international experience (personal international knowledge and information) and international information collected from managerial international contacts. For this research project, I have collected data from international software firms in Pakistan. My research contributes to the literature on upper echelons theory and strategic decision making in context of international business and international firms by explicitly examining the link between TMT internationalization and characteristics of strategic decisions making process (i.e. rationality and speed) in international firms and their possible mediating effect on performance.

An application of decision process modelling to manufacturing system design

As levels of investment in advanced manufacturing systems increase, effective project management becomes ever more critical. This paper demonstrates how the model proposed by Mintzberg, Raisinghani and Theoret in 1976, which structures complicated strategic decision processes, can be applied to the design of new production systems for both descriptive and analytical research purposes. This paper sets a detailed case study concerning the design and development of an advanced manufacturing system within the Mintzberg decision model and so breaks down the decision sequence into constituent parts. It thus shows how a structured model can provide a framework for the researcher who wishes to study decision episodes in the design of manufacturing facilities in greater depth.

Strategic positioning:an integrated decision process for manufacturers

Purpose – This paper describes research that has sought to create a formal and rational process that guides manufacturers through the strategic positioning decision. Design/methodology/approach – The methodology is based on a series of case studies to develop and test the decision process. Findings – A decision process that leads the practitioner through an analytical process to decide which manufacturing activities they should carryout themselves. Practical implications – Strategic positioning is concerned with choosing those production related activities that an organisations should carry out internally, and those that should be external and under the ownership and control of suppliers, partners, distributors and customers. Originality/value – This concept extends traditional decision paradigms, such as those associated with “make versus buy” and “outsourcing”, by looking at the interactions between manufacturing operations and the wider supply chain networks associated with the organisation.

A influência dos bogs de moda no processo de decisão de compra

As redes sociais, nas quais se incluem os blogs, vieram alterar a forma como as pessoas escolhem os bens e serviços que pretendem adquirir. Ao permitirem (entre outras coisas) a emissão para o mundo de opiniões sobre produtos e serviços, as redes sociais aumentaram a quantidade de informação pré-compra disponível, bem como diversificaram o tipo de fontes que é possível consultar durante este processo. Um exemplo flagrante deste fenómeno em Portugal, e no resto do Mundo, são os blogs de moda. Os blogs de moda são sites pessoais utilizados para a publicação de conteúdos relacionados com o universo da moda (Fernandes, 2013), podendo incluir-se aqui os acessórios, a cosmética, o exercício físico e os estilos de vida (Moura, 2013; Kulmala, 2011). Diversos estudos começam hoje a evidenciar que este tipo de sites exerce influência sobre o processo de decisão de compra dos seus seguidores (Kulmala, 2011; Fernandes, 2013). Neste sentido, foi objectivo deste estudo perceber em que medida os blogs de moda influenciam os processos de decisão de compra dos portugueses. Para este efeito, foi efectuada uma revisão bibliográfica sobre os tópicos em estudo (processo de decisão de compra, blogs de moda e respectiva influência), seguido de um estudo empírico, tendo sido usado o inquérito por questionário, procedendo-se depois à análise dos resultados. Os resultados obtidos permitiram concluir que a pesquisa de informação é, na amostra em estudo, a etapa do processo de decisão de compra mais influenciada pelo conteúdo publicado nos blogs de moda. Concluiu-se também que esta é uma das principais motivações dos inquiridos na consulta de blogs de moda. Verifica-se, portanto, que os blogs de moda funcionam hoje como plataformas de eWOM, ao mesmo tempo que os seus autores ascendem a líderes de opinião.

Factors influencing consumer decision in crowdfunding

Crowdfunding é um método recente e emergente de captar dinheiro para desenvolvimento de projetos (tanto orientados a lucro ou não) sem a intermediação tradicional de instituições financeiras, liberando empreendedores de custos, regulações e burocracia associada a essa prática. Além disso, também é um método de pré-testar novos produtos com um público selecionado e entusiasmado. O objetivo dessa dissertação é entender que fatores estão influenciando a decisão do consumidor de investir em projetos. A literatura contribui com: (1) fatores intrínsecos, como desejo de patronagem; (2) fatores extrínsecos, como a apresentação do projeto; e (3) pressão social. Há ainda fatores associados com o nível atual de captação e número de investidores, assim como tipo de projeto envolvido, sendo ele de caridade ou não. Além disso, atitudes também possuem um papel em afetar a decisão de compra. Para responder a pergunta de pesquisa, uma metodologia de duas fases foi usada: uma entrevista de profundidade para capturar intenção de investir e motivação, de forma a construir um processo de decisão que englobasse todas as possibilidades descritas pela literatura. Após essa pesquisa qualitativa, uma pesquisa quantitativa foi feita para validar as informações coletadas pela fase anterior e coletar dados adicionais para gerar uma associação entre intenção de investir e comportamento. Dentre as informações geradas pela fase qualitativa, temos o fato que a maioria dos investidores tiveram como principal motivação a compra do produto sendo oferecido como se eles estivessem participando de uma pré-venda. Entretanto, essa não foi a principal razão para o investidor de caridade. Além disso, os respondentes que pré-compraram os produtos o fizeram para única razão que esses produtos satisfizeram desejos que tinham. Esses desejos variavam, sendo desde saudade de jogos antigos como resolver um problema de organização da carteira. Outra característica da pré-compra foi que eles não investiam valores simbólicos, pela razão que se o fizessem não receberiam o produto em troca. Recompensas tiveram um grande papel em atrair os respondentes para investimento em valores maiores que consideravam anteriormente. Também é verdade para o investidor em caridade, que também doou mais. A fase quantitativa confirmou as informações acima e gerou informação extra sobre as categorias de produto. Projetos de caridade e arte concentraram a maioria dos respondentes que disseram que a principal razão para investir foi basicamente ajudar a desenvolver o projeto sem demandar um produto em retorno. Entretanto, outros projetos como Música também apresentaram altos números de comportamento caridoso, possivelmente por causa do envolvimento emocional com o artista. Outras categorias apresentaram um mix de razões para investir ou enviesado a comprar o produto apenas, o que pode ser explicado pelo efeito de recompensas e pelo fato que essas categorias estão simplesmente pré-vendendo produtos. Essa pesquisa também confirmou as principais fontes usadas para conhecer mais sobre os projetos: recomendação pessoal e blogs e fóruns. Outro resultado dessa fase foi o desenvolvimento de fatores a partir de frases atitudinais que puderam explicar intenção de investir. Seis fatores foram criados: Entusiasmo (por crowdfunding), Exclusividade (compra de recompensas), Caridade (doações pequenas para ajudar o desenvolvimento do projeto), Cautela (similar à difusão de responsabilidade, isto é, espera por mais investidores para dar o primeiro passo), Intimidade (projeto foi recomendado ou há ligação emocional com o criador) e Compartilhamento (compartilhar para ajudar a trazer mais investidores para o projeto). Categorias com alto envolvimento emocional apresentaram associação com Intimidade, como música, filme e tecnologia. Dado o fato que a amostra não continha muitos entusiastas por crowdfunding, esse fator não apresentou qualquer associação com as categorias. Categorias que não entregam produtos em troca, como comida e fotografia, apresentaram altos níveis de associação com o fator caridade. Compartilhamento é altamente associado com tecnologia, dado o fato que essa categoria concentra os respondentes que são mais orientados à inovação e entusiastas sobre o produto, então precisam compartilhar e gerar boca-a-boca para ajudar a atingir a meta de investimento.