Thesis (M.S.)--Florida State University, 2005. / Advisor: Susan S. Fiorito, Florida State University, College of Human Sciences, Dept. of Textiles and Consumer Sciences. Title and description from dissertation home page (viewed Jan. 27, 2006). Document formatted into pages; contains viii, 73 pages. Includes bibliographical references.

Thesis (M.S. in Management) Naval Postgraduate School, December 1996. / "December 1996." Thesis advisor(s): Paul J. Fields and Keebom Kang. Includes bibliographical references (p. 85-89). Also available online.

Thesis (M.S. in Operations Research)--Naval Postgraduate School, 2005. / Title from title screen (viewed Oct. 31, 2005). "June 2005." Includes bibliographical references (p. 49-51). Also issued in paper format.

Thesis (Ph.D.)--McMaster University, 2001 / Includes bibliographical references (leaves 144-156). Also available via World Wide Web.

Thesis (Ph. D.)--Ohio State University, 1985. / Includes bibliographical references (leaves 300-307). Available online via OhioLINK's ETD Center.

No description available.

No description available.

De nombreuses chaînes logistiques peuvent être caractérisées comme de larges systèmes multi-échelons, car ils se composent souvent de plusieurs étages qui intègrent des activités d'assemblage et de distribution. L’un des enjeux majeurs associé au management de ces systèmes multi-échelons est la gestion efficace de stocks surtout dans des environnements où la demande est incertaine, les coûts de stocks sont importants et les exigences en termes de niveau de service client sont élevées. Cela nécessite en particulier de spécifier les niveaux de stocks aux différents étages afin de minimiser le coût total du système global et de satisfaire les niveaux cibles de service client. Pour faire face à ce problème, deux approches existent dans la littérature; il s’agit du Modèle de Service Stochastique (SSM) et le Modèle de Service Garanti (GSM). Ces deux approches diffèrent en termes d'hypothèses utilisées concernant la façon de gérer les variations de la demande et les temps de service. Cette thèse amène plusieurs contributions au problème d'optimisation de stocks multi-échelons basé sur le GSM. Tout d'abord, nous menons une revue de la littérature internationale qui donne une synthèse des différents travaux réalisés à ce jour. Ensuite, nous étudions l'impact de certaines hypothèses spécifiques du GSM comme la demande bornée, les temps de service garanti et les périodes d’approvisionnement communes. Notre analyse numérique montre que l'hypothèse de demande bornée peut causer une déviation sur les niveaux de service client tandis que les hypothèses de temps de service garanti et de périodes d’approvisionnement communes peuvent entraîner une augmentation du coût total. En pratique, l’impact de ces hypothèses peut être important. En se basant sur les résultats présentés lors de l'analyse de l’hypothèse des périodes d'approvisionnement communes, nous développons une extension du GSM qui permet d'optimiser simultanément les périodes d’approvisionnement (les intervalles de réapprovisionnement) et les niveaux de stocks de sécurité (les niveaux de recomplétement) dans les systèmes multi-échelons acycliques généraux. Nous formulons ce problème comme un modèle de programmation non-linaire en nombres entiers. Ensuite, nous proposons une procédure d'optimisation séquentielle qui permet d'obtenir des solutions proches de l’optimal avec un temps de calcul raisonnable. Enfin, nous nous concentrons sur le problème de déviation de niveau de service client dans le GSM et nous proposons deux approches afin d'atténuer cette déviation. L'étude numérique montre que la première approche est plus performante que la deuxième en termes de temps de calcul tandis que la deuxième approche offre des meilleures solutions en termes de coût. Nous présentons également des problèmes similaires dans les chaînes logistiques décentralisées. / Many real-world supply chains can be characterised as large and complex multi-echelon systems since they consist of several stages incorporating assembly and distribution processes. A challenge facing such systems is the efficient management of inventory when demand is uncertain, operating costs and customer service requirements are high. This requires specifying the inventory levels at different stages that minimise the total cost and meet target customer service levels. In order to address this problem, researchers proposed the Stochastic-Service Model and the Guaranteed-Service Model (GSM) approaches. These two approaches differ in terms of assumptions with regard to how to address demand variations and service times. This thesis develops several contributions to the GSM based multi-echelon inventory optimisation problem. First of all, we conduct a comprehensive literature review which gives a synthesis of the various GSM work developed so far. Then, we study the impact of some specific assumptions of the GSM such as bounded demand, guaranteed-service times and common review periods. Our numerical analysis shows that the bounded demand assumption may cause a deviation on customer service levels while the guaranteed-service times and common review periods assumptions may result in an increase on the total cost. In real-world supply chains the impact of these assumptions might be significant. Based on the findings presented while investigating the impact of the common review periods assumption, we develop an extension of the GSM that enables to simultaneously optimise the review periods (reorder intervals) and safety stock levels (order-up-to levels) in general acyclic multi-echelon systems. We formulate this problem as a nonlinear integer programming model. Then, we propose a sequential optimisation procedure that enables to obtain near optimal solutions with reasonable computational time. Finally, we focus on the issue of customer service level deviation in the GSM and propose two approaches in order to mitigate this deviation. The numerical study shows that the first approach outperforms the second one in terms of computational time while the second approach provides more accurate solutions in terms of cost. We also present some related issues in decentralised supply chain settings.

Radio Frequency Identification (RFID) is revolutionizing business practices across industries worldwide as means for its commercial application continue to be developed. It is surpassing barcoding as the preferred means of product identification due to its’ ability to identify goods at item-level as opposed to batch- or type identification, and with no line-of-sight requirements for item detection. Although many industries have successfully employed the technology and are reaping the rewards, RFID’s adoption in the truck tyre industry is still in its infant stage. A small number of documented cases discuss the limited roll-out and testing of RFID effectiveness in satisfying the demands and expectations associated with this specific application. This study is aimed at evaluating the viability of introducing RFID to the South African market. The market readiness is reflected in the perceptions of Continental Tyre South Africa’s (CTSA’s) customers regarding the perceived benefits of RFID. More importantly, it is revealed in how it affects customers’ buying behaviour and, by implication, the impact on CTSA’s sales. The results of the study also reveal critical aspects unique to the South African truck tyre market which could potentially be addressed through the introduction of RFID. These aspects form the basis of the conclusions and recommendations for future actions by CTSA.

Made available in DSpace on 2015-03-03T11:52:21Z (GMT). No. of bitstreams: 0 Previous issue date: 2014-07-02Bitstream added on 2015-03-03T12:07:27Z : No. of bitstreams: 1 000805655.pdf: 888012 bytes, checksum: eacc3fa35e64594f9555b10ac827ee5e (MD5) / Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) / Um estoque inadequado pode inviabilizar um negócio, e uma caracterização pode influenciar em seu controle e gestão. O objetivo deste trabalho é avaliar a gestão de estoque do setor de varejo calçadista através do auxílio de técnicas de Análise Multivariada e da teoria do Controle Ótimo. Foi aplicada a Análise Multivariada com a finalidade de criar índices para caracterizar as lojas de calçados; criar uma função discriminante para avaliar a diferença entre grupos de lojas com e sem excesso de estoque; utilizar esta função para classificar novas lojas nesses grupos; verificar os grupos de lojas e adaptar um modelo de controle de estoque com a Teoria do Controle Ótimo de Sethi e Thompson (2006). Para isso foram utilizados questionários para coletar dados de 30 lojas da região polo do interior do Estado de São Paulo, que foram divididas em grupos. Utilizando análise multivariada o trabalho cria dois índices de segurança através de componentes principais, para caracterizar as lojas e as variáveis mais importantes, e através da análise discriminante cria uma função discriminantes linear de Fisher para avaliar diferença significativa entre gupos e classificar as lojas, para que futuras lojas possam se alocadas aos grupos que tem excesso de estoque ou um nível adequado. Já a Teoria do Controle Òtimo foi utilizada para adaptar um modelo de controle ótimo de estoque para o setor de varejo calçadista. Foi feita uma aplicação com dados reais das 30 lojas para a análise multivariada e de uma loja para o modelo adaptado do setor de varejo calçadista do polo de Franca, e análise de sensibilidade do modelo. Com isso os objetivos foram alcançados e este estudo pode servir de apoio a estudos sobre gerenciamento de estoque e auxiliar à tomada de decisão de lojas do setor, para torná-las mais competitivas / Inappropriate inventory may collapse a business, and a characterization can influence its control and mangement. The aim of this paper is to evaluate the inventory management of the retail footwear sector through multivariate techniques and the Optimal Control Theory. Techniques of Multivariate Analysis was applied in order to create indexes to characterize the footwear stores, create a discriminant function to evaluate the difference between groups with and without excess iventory and allocate future stores to the groups; verifying the groups of stores; and adapting a model of inventory control with Optimal Control Theory of Sethi and Thompson (2006). Questionnaires were administered to 30 stores at the region of a footwear pole on the state of São Paulo, which were divided into groups. Using multivariate analysis, the paper creates two safety indexes, through principal components, to characterize the footwear stores and the most important variable and, through discrimination analysis, creating a Fisher's linear discriminant function to evaluate a significant difference between the groups, classifying the stores, so future can be allocated to the groups with excess inventory or adequate inventory level. The Optimal Control Theory was used to adapt a model of optimal inventory control to the retail footwear sector. An application was made with actual data from 30 stores using multivariate analysis, and a store of the retail footwear sector of the region of Franca using the adapted model, and the sensitivity analysis of the model. The objectives were achieved and this study can support studies on inventory management and assist the decision-making of stores, making them more competitive