Marketing mix | EPFL Graph Search

vignette|250px|1980. Le marketing mix à 7P des services : Produit, Place, Prix, Promotion, People, Processus, Preuve physique adopté en 2009 par le CIM. Le marketing mix ou mix marketing ou mix est, en marketing management opérationnel, l'ensemble des domaines opérationnels dans lesquels il faut élaborer des stratégies. Ne comptant longtemps et traditionnellement que 4 domaines de décisions, celles relatives au produit, au prix, au point-de-vente et à la publicité-promotion, le marketing mix compte aujourd'hui plus de domaines. Le Chartered Institute of Marketing, la plus importante association mondiale de professionnels du marketing, , a adopté en 2009 un marketing mix à 7 variables Retailing mix est l'équivalent du marketing mix appliqué à un point-de-vente, une enseigne de distribution (Carrefour, Leclerc, Casino, etc.) ou un centre commercial (par ex: Qwartz, etc.) Traffic mix est proposé pour application aux lieux de prestation de service en général (hôtels, parcs d'attractio

Inventory Management with Working Capital Restrictions

Cristopher Ariel Zeballos Avila

Working capital restrictions can have disruptive effects on the coordination of the operations and finances of a company. Working capital restrictions may limit the inventory ordering power, reduce revenues, and increase the use of high premium debt. It may restrict the use of marketing and dynamic pricing decisions intended to smooth the variations of demand and revenues that result from the stochastic nature of the product life cycle. Given working capital’s multiplex composition and cost structure, its study requires careful assumptions to adequately capture its effects on the operational and financial sides. For this dissertation, we develop three models that explicitly take into account working capital restrictions. For the first research project, we build on a single-product finite-horizon periodic-review inventory management setting and include key financial aspects such as working capital constraints, payment delays and multiple sources of financing. While the Modigliani and Miller’s irrelevance principle establishes that the financial choices of a firm do not play a role in its valuation, our exploratory study examines the robustness of this result in a richer setting which intrinsically departs from their assumptions. Our numerical experiments show that when short-term debt as such becomes prohibitive or when downstream payment delays increase, the required working capital inflates rapidly. For the second research project, we study how a company should combine its inventory, product launch and marketing decisions to coordinate the operations and finances of a product portfolio that is working capital constrained. Our results show that the product portfolio benefits greatly from the joint management, reducing the amount of working capital required per product, and increasing the benefits per allocated working capital. For the last research project, we study how a company should combine its inventory, product launch and dynamic pricing decisions to coordinate the operations and finances of a product portfolio that is working capital constrained. We find that optimal product launch and pricing decisions help avoid simultaneous peak demands and simultaneous product launches. However, we find that working capital constraints can have strong negative effects on profits and may force not to launch a product in the worst cases.

EPFL2013

How Many CPU Cores is an FPGA Worth? Lessons Learned from Accelerating String Sorting on a CPU-FPGA System

Mikhail Asiatici, Paolo Ienne, Damian Maiorano

String sorting is a fundamental kernel of string matching and database index construction; yet, it has not been studied as extensively as fixed-length keys sorting. Because processing variable-length keys in hardware is challenging, it is no surprise that no hardware-accelerated string sorters have been proposed yet. In this paper, we present Parallel Hybrid Super Scalar String Sample Sort (pHS(5)) on Intel HARPv2, a heterogeneous CPU-FPGA system with a server-grade CPU. Our pHS(5) extends pS(5), the state-of-the-art string sorting algorithm for multi-core shared memory CPUs, by adding multiple processing elements (PEs) on the FPGA. Each PE accelerates one instance of the most effectively parallelizable among the dominant kernels of pS(5) by up to 33% compared to a single Intel Xeon Broadwell core despite a clock frequency that is 17 times slower. Furthermore, we extended the job scheduling mechanism of pS(5) to schedule the accelerable kernel not only among available CPU cores but also on our PEs, while retaining the complex high-level control flow and the sorting of the smaller data sets on the CPU. Overall, we accelerate the entire algorithm by up to 10% with respect to the 28-thread software baseline running on the Xeon processor and by up to 36% at lower thread counts. Finally, we generalize our results assuming pS(5) as representative of software that is heavily optimized for modern multi-core CPUs and investigate the performance and energy advantage that an FPGA in a datacenter setting can offer to regular RTL users compared to additional CPU cores.

SPRINGER2021

Inventory Management with Working Capital Restrictions

Cristopher Ariel Zeballos Avila

EPFL2013