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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Radio Frequency Identity (RFID) als Optimierungsinstrument für das Supply Chain Management /

Kallscheuer, Sven. January 2008 (has links)
Bergische Universiẗat, Bachelorarbeit--Wuppertal, 2006.
2

Supply Chain Diagnose : Herleitung eines standardisierten Diagnoseverfahrens und Identifikation von Potentialen auf Basis einer empirischen Untersuchung /

Buss, Dierk. January 2006 (has links)
Nürnberg, Universiẗat, Diss., 2006--Erlangen.
3

Entwicklung einer Methodik zur logistischen Risikoanalyse in Produktions- und Zuliefernetzwerken

Reh, Daniel January 2009 (has links)
Zugl.: Magdeburg, Univ., Diss., 2009
4

An optimization model for strategic supply chain design under stochastic capacity disruptions

Luna Coronado, Jaime 10 October 2008 (has links)
This Record of Study contains the details of an optimization model developed for Shell Oil Co. This model will be used during the strategic design process of a supply chain for a new technology commercialization. Unlike traditional supply chain deterministic optimization, this model incorporates different levels of uncertainty at suppliers' nominal capacity. Because of the presence of uncertainty at the supply stage, the objective of this model is to define the best diversification and safety stock level allocated to each supplier, which minimize the total expected supply chain cost. We propose a Monte Carlo approach for scenario generation, a two-stage non-linear formulation and the Sample Average Approximation (SAA) procedure to solve the problem near optimality. We also propose a simple heuristic procedure to avoid the nonlinearity issue. The sampling and heuristic optimization procedures were implemented in a spreadsheet with a user's interface. The main result of this development is the analysis of the impact of diversification in strategic sourcing decisions, in the presence of stochastic supply disruptions.
5

An optimization model for strategic supply chain design under stochastic capacity disruptions

Luna Coronado, Jaime 15 May 2009 (has links)
This Record of Study contains the details of an optimization model developed for Shell Oil Co. This model will be used during the strategic design process of a supply chain for a new technology commercialization. Unlike traditional supply chain deterministic optimization, this model incorporates different levels of uncertainty at suppliers’ nominal capacity. Because of the presence of uncertainty at the supply stage, the objective of this model is to define the best diversification and safety stock level allocated to each supplier, which minimize the total expected supply chain cost. We propose a Monte Carlo approach for scenario generation, a two-stage non-linear formulation and the Sample Average Approximation (SAA) procedure to solve the problem near optimality. We also propose a simple heuristic procedure to avoid the nonlinearity issue. The sampling and heuristic optimization procedures were implemented in a spreadsheet with a user’s interface. The main result of this development is the analysis of the impact of diversification in strategic sourcing decisions, in the presence of stochastic supply disruptions.
6

Green Supply Chain Management : Factors Critical to the Implementation of GSCM Practice in Heinekens International

Ngulle, Shellybrown Ekane, Nshimirimana, Vanessa January 2012 (has links)
No description available.
7

Life cycle thinking and general modelling contribution to chemical process sustainable design and operation

Bojarski, Aaron David 07 October 2010 (has links)
La industria es comúnmente vista como una fuente de degradación ambiental y de consumo de recursos, a pesar de ello es una parte vital del desarrollo social y de la creación de riqueza. Del mismo modo, los sistemas industriales causan y determinan los flujos de materias y energía a través de la sociedad. El desarrollo sostenible está asociado a todos los aspectos anteriores al englobarlos a todos.Los servicios sostenibles son aquellos que restringen el consumo de recursos y generación de residuos a un nivel aceptable considerando las existencias y las velocidades de recuperación de los recursos así como la capacidad de soporte de La Tierra. Asimismo, hacen una contribución positiva a la satisfacción de las necesidades humanas y proveen de valor económico a la empresa. La selección de procesos apropiados para la provisión de un dado servicio es el tópico principal de esta tesis.Esta tesis presenta un marco consistente para el soporte a la decisión hacia alternativas sostenibles. El marco abarca un grupo de métodos y herramientas aplicables al soporte de la decisión en cuestiones de diseño, actualización, y operación considerando criterios de sostenibilidad en términos económicos y medioambientales. Se ha enfatizado la simulación de procesos, el modelado matemático y otros métodos de estadística multivariable. El marco está materializado en un procedimiento de uso que posee cuatro pasos que imitan los de otros métodos actualmente utilizados y un set integrado de herramientas. Las herramientas usadas son en todos los casos modelos matemáticos que permiten una representación precisa de la realidad que simulan. El problema multiobjetivo resultante es resuelto usando una estrategia que permite restringir la mejor solución de compromiso. Una multitud de casos de estudio industriales muestra la forma de aplicación del marco en diferentes escenarios.El marco se ha aplicado a casos de estudios que requieren de soporte a la decisión. El caso de diseño de procesos continuos se ha incluido tratando tres casos. El primero está relacionado con la selección de opciones de tratamiento de aguas residuales en una planta de producción de ácido fosfórico considerando incertidumbre en variables operativas. Otro caso considera las decisiones relacionadas al uso de diferentes materias primas en una usina eléctrica con tecnología de gasificación. El último caso considera la optimización de las variables operativas en el diseño de un sistema de destilación reactiva. Todos los casos son modelados rigurosamente usando noveles herramientas de simulación y modelado en conjunto con otras desarrolladas para el análisis de los aspectos económicos y medioambientales de la sostenibilidad.Posteriormente, se ha estudiado el problema operacional de la selección de la planificación de producción. En este caso se ha puesto atención especial a la selección de métricas apropiadas considerando aspectos económicos, medioambientales y de eficiencia que reflejen las características secuenciales del problema. El modelo propuesto se ha construido usando herramientas de programación matemática y la producción de fibras acrílicas es la aplicación considerada.Finalmente el marco se ha aplicado al diseño y planificación de una cadena de producción. En este caso se modelan decisiones de planificación a medio y largo plazo y se las aplica a la producción de anhídrido maleico en Europa del Oeste. Dadas las características del problema se han estudiado diferentes instrumentos económicos asociados al medio ambiente, como la venta de permisos de emisión y subsidios a la producción. Esto permite mostrar las capacidades del marco para el estudio de políticas gubernamentales.Los casos de estudio muestran las diferentes compensaciones que aparecen en varios niveles de decisión. Asimismo el marco provee con un enfoque robusto para la trazabilidad y capacidad de verificación de las diferentes hipótesis de modelado, lo cual refuerza el proceso de toma de decisiones. / Industry is often seen as a source of environmental degradation and resource depletion, however it is a vital part of societal development and wealth creation. Moreover, industrial systems cause and determine flows of materials and energy through the society. Sustainable development is associated to all the former issues, by encompassing them altogether under the same umbrella.Sustainable services are those, that restrain resource consumption and waste generation to an acceptable level, considering Earth's existing capital, rates of replenishment and carrying capacity, make a positive contribution to the satisfaction of human needs, and provide enduring economic value to the business enterprise. The selection of appropriate processes for providing a given sustainable service is the main topic of this thesis. This thesis presents a consistent framework for decision support towards sustainable design. It encompasses a set of methods and tools applicable to decision aid in process design, retrofit and operation considering sustainability criteria in terms of economic and environmental issues. In this sense special consideration is given to process simulation, general modelling programs and other multivariate statistical methods, as well as their supporting associated tools. The framework is materialised as a procedure for its application in four steps, which mimics other current applied methods; and a set of tools which are integrated. One of the framework aims is the consideration of the uncertainty associated to parameters and values. The tools, which in all cases are mathematical models, allow for an accurate representation of the reality they simulate. In the case of alternatives generation problem, the resultant multiobjective optimisation problem is solved by an strategy that permits narrowing-in the best solution compromise. A multitude of industrial case studies teaches the way to use the framework in different scenarios.The framework is applied to different case studies which require decision aid. The case of continuous process design is first addressed along with three different studies. The first one is related to the selection of waste water treatment options for a phosphoric acid plant considering uncertainty in operating variables, another analysis considers the decisions related to raw material management in an integrated gasification combined cycle power plant, while the last one addresses the design of a reactive distillation system considering optimisation of operating variables. All case studies are modelled rigorously using state of the art commercial simulation tools in conjunction with other tools developed for the assessment of sustainability concerns, mainly economic and environmental issues. The operational problem of selecting appropriate schedules, for the production of different products, is addressed next. In this case, special attention is given to the selection of appropriate metrics, considering economic, efficiency and environmental concerns that reflect the sequence dependence features of this problem. The model proposed is built using mathematical programming and the production of acrylic fibres is the application considered. Finally, the framework is applied to the design and retrofit of the whole chemical supply chain. Mid- to long-term planning decisions are modelled in this case, which studies a maleic anhydride production supply chain in Western Europe. Due to the problem nature, economic-environmental instruments such as emission trading and price subsidies are studied showing the viability of the presented approach for policy analysis.The case studies and the proposed framework show that different trade offs appear at different decision making levels. Moreover, the framework provides with a robust approach for traceability and verifiability of different modelling hypothesis which strengthens the decision making process.
8

Mot en hållbar e-livsmedelshandel : En kvalitativ studie av svenska e-livsmedelsaktörers initiativ för Sustainable Supply Chain Management

Berg, Sebastian, Mellgren, Patrik January 2014 (has links)
Den växande e-livsmedelshandelns Supply Chains har studerats genom hållbarhetsglasögon där syftet var att ”[…] ge en fördjupad förståelse över hur svenska elivsmedelsaktörerarbetar med frågor rörande Sustainable Supply Chain Management”. Syftet fullgjordes genom en kvalitativ studie av tre organisationer, i vilka totalt 9 beslutsfattare intervjuades enligt ett semi-strukturerat intervjuförfarande. De data som samlades rörande e-livsmedelsaktörernas arbete med SSCM har i sin tur analyserats med hänvisning till en i förväg fastställd teoretisk referensram. Vår studie avslöjar att två av de svenska e-livsmedelsaktörerna är exemplariska och framstående med att införliva hållbarhet i sin Supply Chain. De engagerar sig aktivt i de initiativ för Sustainable Supply Chain Management som i litteraturen identifierades som nödvändiga för en verkligt hållbar Supply Chain. De har en allomfattande och övergripande strategi för att minimera den sociala risken, reducera resursutnyttjande och förorenande biprodukter i hela Supply Chain samt för att förbättra organisatoriskt inbäddade ohållbara vanor. Det tredje företaget saknar emellertid kapacitet och marknadsinflytande att engagera sig i SSCM. Studien åskådliggör även att en klimatneutral e-livsmedelsdistribution osannolikt förverkligas inom en snar framtid, såvida inte marknaden interveneras och företagen tvingas internalisera kostnaderna för utsläpp.
9

Novel formulation and decomposition-based optimization for strategic supply chain management under uncertainty

McLean, KYLE 25 March 2014 (has links)
This thesis proposes a novel synergy of the classical scenario and robust approaches used for strategic supply chain optimization under uncertainty. Two novel formulations, namely the naïve robust scenario formulation and the affinely adjustable robust scenario formulation, are developed, which can be reformulated into tractable deterministic optimization problems if the uncertainty is bounded by the infinity-norm. The two formulations are applied to a classical farm planning problem and an energy and bioproduct supply chain problem. The case study results demonstrate that, compared to the scenario formulation, the proposed formulations can achieve the optimal expected economic performance with smaller number of scenarios, and they can correctly indicate the feasibility of a problem. The results also show that the affinely adjustable robust scenario formulation can better address uncertainties than the naïve robust scenario formulation. Next, a strategic optimization problem for an industrial chemical supply chain from DuPont was studied. The supply chain involves one materials warehouse, five manufacturing plants, five regional product warehouses and five market locations. Each manufacturing plant produces up to 23 grades of final products from 55 grades of primary raw materials. The goal of the strategic optimization is to determine the capacities of the five plants to maximize the total profits of the supply chain system while satisfying uncertain customer demands at the different market locations. A mathematical model is developed to relate the material and product flows in the supply chain, based on which the classical scenario approach and the affinely adjustable robust scenario formulation were developed to address the uncertainty in the demands. The case study results show the advantages of the affinely robust scenario formulation over the scenario formulation. Using the affinely adjustable robust scenario formulation often results in problems with very large sizes, which cannot be solved by regular optimization solvers efficiently. In order to exploit the decomposable structure of the formulation, Dantzig-Wolfe decomposition is studied in the thesis. Two approaches to implement Dantzig-Wolfe decomposition are developed, and both approaches involve the solution of a sequence of linear programming (LP) and mixed-integer linear programming (MILP) subproblems. The computational study of the industrial chemical supply chain shows that a combination of the two Dantzig-Wolfe approaches can achieve an optimal or a near-optimal solution much more quickly than a state-of-the-art commercial LP/MILP solver, and the computational advantage increases with the increase of number of scenarios involved in the problem. / Thesis (Master, Chemical Engineering) -- Queen's University, 2014-03-24 20:39:42.761
10

Optimization Method for Inventory and Supply Chain Management

Manilachelvan, Poonkuzhali January 2013 (has links)
This thesis presents an optimization model which helps retailers to reduce product costs by taking advantage of parts commonality in manufacturing and production areas, when selling similar units with uncertainty in demands. The concept of component commonality can be often found in the assemble-to-order system, which is the foremost concept used by prominent manufacturing companies in the global market. The method developed uses genetic algorithm (GA) to solve real world optimization problems that contain integer values for parts and finished items, and uncertain information. Numerical examples are solved using generated stochastic scenarios to show the impact of uncertainty on solutions. This impact is verified using two important criteria, Expected Value of Perfect Information (EVPI) and Value of Stochastic Solution (VSS). The obtained solutions present significant monetary benefits for the manufacturer illustrating the importance of the model presented here for retailers.

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