94 research outputs found

    Order acceptance with reinforcement learning

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    Order Acceptance (OA) is one of the main functions in a business control framework. Basically, OA involves for each order a 0/1 (i.e., reject/accept) decision. Always accepting an order when capacity is available could unable the system to accept more convenient orders in the future. Another important aspect is the aV'(tiiability of information to the decisionmaker. We use a stochastic modeling approach using Markov decision theory and learning methods from Artificial Intelligence techniques in order to deal with uncertainty and long-term decisions in Ok Reinforcement Learning (RL) is a quite new approach that already combines this idea of modeling and solution method. Here we report on RL-solutions for some OA models

    Optimisation and control of the supply of blood bags in hemotherapic centres via Markov Decision Process with discounted arrival rate

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    Running a cost-effective human blood transfusion supply chain challenges decision makers in blood services world-wide. In this paper, we develop a Markov decision process with the objective of minimising the overall costs of internal and external collections, storing, producing and disposing of blood bags, whilst explicitly considering the probability that a donated blog bag will perish before demanded. The model finds an optimal policy to collect additional bags based on the number of bags in stock rather than using information about the age of the oldest item. Using data from the literature, we validate our model and carry out a case study based on data from a large blood supplier in South America. The study helped achieve an overall increase of 4.5% in blood donations in one year

    Dynamic allocation in multi-dimensional inventory models

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    Challenges in forecasting uncertain product demand in supply chain: A systematic literature review

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    Forecasting for uncertain product demand in supply chain is challenging and statistical models alone cannot overcome the challenges faced. Our overall objective is to explore the challenges faced in forecasting uncertain product demand and examine extant literature by synthesizing the results of studies that have empirically investigated this complex phenomenon. We performed a Systematic Literature Review (SLR) following the well-known guidelines of the evidence-based paradigm which resulted in selecting 66 empirical studies. Our results are presented into two categories of internal and external challenges: 24 of the 66 studies express internal challenges, whilst 13 studies report external challenges, and 8 studies cover both internal and external challenges. We also present significant gaps identified in the research literatur

    Spare parts planning and control for maintenance operations

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    This paper presents a framework for planning and control of the spare parts supply chain inorganizations that use and maintain high-value capital assets. Decisions in the framework aredecomposed hierarchically and interfaces are described. We provide relevant literature to aiddecision making and identify open research topics. The framework can be used to increasethe e¿ciency, consistency and sustainability of decisions on how to plan and control a spareparts supply chain. This point is illustrated by applying it in a case-study. Applicability of theframework in di¿erent environments is also investigated

    Panel discussion: the role of macroeconomic policy

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    Macroeconomics

    The solar photovoltaics industry : the status and evolution of the technology and the institutions

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    Prepared for the United States, Department of Energy, under contract no. EX-76-A-01-2295, task order 37, by Energy Laboratory, Massachusetts Institute of Technology

    Understanding consumer behaviour in the less developed countries : an empirical investigation of brand loyalty in Zambia

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    The objectives of this study are to contribute to the understanding of consumer behaviour, and to investigate the existence of brand loyalty in the less developed countries. The study attempts to fill the gap in literature on consumer behaviour and consumer characteristics in the less developed countries. The significance of the study is that while the existing studies focus on Latin American markets, it investigates consumer behaviour in Africa: Zambia. A further contribution lies in its attempts to understand consumer behaviour in markets where there is a common notion that marketing is not important because the existence of shortages creates demand. This study regards such attitudes as myopic because marketing should be understood as more than a demand creating tool. It should be viewed as a discpline that can enable a manager to match organizational capabilities and resources to the needs of a society. Moreover, at the micro level, companies are in competition for the occupation of the largest segment in the consumers mind. The need for marketing during shortages is in conformity with Kotlers argument that: "Marketing is as critical a strategic concept and an operating philosophy during shortages as it is during surpluses. The seller (Marketer] who abandons the marketing mode of thinking during shortages is playing Russian roulette with his market franchise. He is risking long-term marriage to a set of customers for the temporary charms of a seductress." (Quoted in Nekvasil, 1975, p.57].Hence, studying brand loyalty and the factors related to it has particular relevance in the less developed countries. The results of a consumer survey conducted among 1289 respondents in Zambia reveals that women, who were mostly involved in the purchase of the products, were very aware of brands on the market, used informal (personal sources] of information, identified brands by name and as expected, the frequency of purchases were low and quantities bought quite large, reflecting the product shortage situation. The cross-tabulations and log-linear analysis further indicated that brand loyal consumers tended to be mostly men, educated, from middle and high income classes, store loyal, heavy users, not price sensitive, influenced by family and friends, who lived in urban areas where distribution is extensive and many brands available. However, some interbrand differences were evident. These results suggest a profile of brand loyal consumers, and this can be used to segment the market for frequently purchased products. More significantly, the possibility of market segmentation would indicate appropriate marketing and advertising strategies for companies selling these products in the less developed countries
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