Managing capacity in the intermediate term: aggregat … DO2-003-I
“Notes and cases of operations often seem to be based on the analysis of operating systems in an unchanging environment. The emphasis is placed on understanding and evaluating basic characteristics of company’s operations, working under reasonably stable conditions in terms of demand and markets. However, business works differently in practice. Markets demand competition and strategic change. Operating systems should be adapted to new strategic needs. Even in situations where strategic and competitive framework is reasonably stable (where the convenience or otherwise making of changes in a coherently designed and well managed operating system could be questioned), demand does not usually remain stable in the course of time.”
This technical note related to strategy details planning and scheduling procedures to manage dynamic capacity.Academic Area:Operations & Supply Chain Management
Alianzas: cómo las empresas pueden hacer más y ganar … DO2-123
This technical note does an overview of alliances. It goes into its characteristics, phases, creation process and the advantages obtained from these.Academic Area:Operations & Supply Chain Management
Gestión de la cadena de demandas en el servicio DO2-124
This technical note analizes the value chains by reviewing their evolution, characteristics and the keys to their management.Academic Area:Operations & Supply Chain Management
Algunas claves del proceso de producción JIT DO2-122
This technical note explains how flexibility in production is used to overcome the challenges of planning. Flexibility here is represented by Just in Time (JIT), which includes the use of Kanban and proposes balanced production, reduction of preparation time, flow orientation, flexibility and other.Academic Area:Operations & Supply Chain Management
La gestión de los servicios en las empresas de manuf … DO2-114
This technical note reviews the insights that the services industry can provide to manufacturing, along with some keys to innovate within services.Academic Area:Operations & Supply Chain Management | Innovation
Gestión de capacidad en servicios DO2-112
Service capacity management is one of the main management challenges. For many, the way to manage capacity can determine a business’ profitability. This is because the sizing of capacity affects the performance of the firm, as it affects investments and operating costs. Given certain characteristics of services, such as intangibility and simultaneousness between production and consumption, the capacity of the service systems is perishable and can’t be stocked. These characteristics, plus heterogeneity and the necessary presence of the client for most of the services to be executed, explains the difficulty of measuring service capacity, which in turn makes it more difficult to size for adequate servicing.
This technical note touches upon fundamental aspects of service capacity management, including basic strategies and their combination, management of supply and demand as well as yield or revenue management.Academic Area:Operations & Supply Chain Management
Conceptos básicos sobre el proceso de desarrollo de … DO2-115
This technical note offers a general view of the development of new products from a process perspective. It also clarifies concepts related to the basic structure of the development process.Academic Area:Operations & Supply Chain Management
Basic statistical methods MC021-022-I
This document introduces students to basic statistical models using step-by-step examples. It takes a look at how we can go from having sample data to data of the population by using two methods: confidence intervals and hypothesis testing. Students are then given practical examples of how these methods can be used. They are taken through each problem step by step and learn how to solve them using Excel functions.
The examples cover cases like how to determine the optimal number of data in a sample and testing hypotheses for more than two means.Academic Area:Operations & Supply Chain Management | Others
Quantitative decision analysis MC021-021-I
This technical note introduces students to quantitative methods and modeling techniques to facilitate decision making. In order to learn how to apply scientific methods to help them choose the best possible strategy to reach their goal. Using an example, students are taught how to make a decision using expected values in order to transform non-controlled variables into a numeric value.
Various examples are given so that students can learn how to make decisions based on different levels of risk aversion.Academic Area:Operations & Supply Chain Management | Others