Turnaround across diverse global supply chains using shared metrics and change methodology: The Case of Amer Sports Corporation

Purpose - The purpose of this paper is to document the outcome of a global three-year long supply chain improvement initiative at a multi-national producer of branded sporting goods that is transforming from a holding structure to an integrated company. The case company is comprised of seven internationally well-known sport brands, which form a diverse set of independent sub-cases, on which the same supply chain metrics and change project approach was applied to improve supply chain performance. Design/methodology/approach - By using in-depth case study and statistical analysis the paper analyzes across the brands how supply chain complexity (SKU count), supply chain type (make or buy) and seasonality affect completeness and punctuality of deliveries, and inventory as the change project progresses. Findings - Results show that reduction in supply chain complexity improves delivery performance, but has no impact on inventory. Supply chain type has no impact on service level, but brands with in-house production are better in improving inventory than those with outsourced production. Non-seasonal business units improve service faster than seasonal ones, yet there is no impact on inventory. Research limitations/implications - The longitudinal data used for the analysis is biased with the general business trend, yet the rich data from different cases and three-years of data collection enables generalizations to a certain level. Practical implications - The in-depth case study serves as an example for other companies on how to initiate a supply chain improvement project across business units with tangible results. Originality/value - The seven sub-cases with their different characteristics on which the same improvement initiative was applied sets a unique ground for longitudinal analysis to study supply chain complexity, type and seasonality.

Strategisesti tärkeän tuotteen toimitusvarmuussuunnitelma

Suolahappo kuuluu peruskemianteollisuuden tuotteisiin ja on monen eri kemianteollisuuden tuotteen raaka-aine, jota ilman tuotantoprosessi keskeytyy. Suolahapontuottajia on vain muutama Suomessa ja näiden tuottajien varassa toimii lukuisia jatkojalostusteollisuuslaitoksia. Työssä lähdettiin kehittämään suolahapontoimitusvarmuutta logistiikan keinoin. Toimitusvarmuutta haluttiin kehittää sesonkivaihteluiden ja tuotantokatkosten aikana. Työssä etsitään sopiva sesonkivarastointikapasiteetti ja varmuusvarastotaso sekä järkevä sijainti varastolle. Varastointia kehitetään kuljetukset ja tuotannon luonne huomioiden. Työn alussa esitellään yritys ja tuotantoprosessi. Tämän jälkeen analysoidaan kysyntätietoja ja kasataan ongelmat toimitusvarmuudessa. Näiden pohjalta lähdetään kehittämään teoriapohjaisia ratkaisuvaihtoehtoja, jonka jälkeen ne sovelletaan yritykselle sopivaan muotoon. Työn tuloksena saatiin esitys varastointitarpeesta sekä siitä aiheutuvista kustannuksista. Työssäesitetään myös järkevä varaston sijainti ja soveltuva kuljetuskäytäntö tähän varastoon.

Tuotevarastojen nykytila-analyysi lyhytkäyttötuotteita valmistavassa yrityksessä

Varastointitehokkuus on keskeisimpiä asioita päivittäistavaroita valmistavissa yrityksissä, kun kustannuksia pyritään minimoimaan mahdollisen kilpailuedun saavuttamiseksi. Tämän diplomityön tarkoituksena on nykytilaa analysoimalla löytää syyt kohdeyrityksen suurelle lautasvarastolle ja pyrkiä esittämään kehitysmahdollisuuksia. Aihetta lähestytään aluksi alan kirjallisuutta käsittelemällä. Varastojen syntyyn vaikuttavat kaksi päätekijää: kysynnän ennustamisen onnistuminen ja tuotannon suunnittelu sesonkimaisessa kysyntäympäristössä. Työssä syvennytään näihin aiheisiin ja esitellään varastointitehokkuuden mittarit, varastoinnin kustannukset sekä kannattavuuden mittari ROI. Yrityksen lautasvaraston nykytila-analyysin jälkeen on työssä kehitelty kolme erilaista tuotannon toimintamallia, joista kaksi on laadittu vuoden 2006 toteutuneelle ja kolmas vuoden 2007 budjetoidulle kysynnälle. Toimintamallien perusteella olisi yrityksen lautasvarastoa mahdollista pienentää ja varastointikustannuksia karsia jopa 45 prosenttia.

Researching Manufacturing Planning and Control system and Master Scheduling in a manufacturing firm.

The objective of this thesis is to research Manufacturing Planning and Control (MPC) system and Master Scheduling (MS) in a manufacturing firm. The study is conducted at Ensto Finland Corporation, which operates on a field of electrical systems and supplies. The paper consists of theoretical and empirical parts. The empirical part is based on weekly operating at Ensto and includes inter-firm material analysis, learning and meetings. Master Scheduling is an important module of an MPC system, since it is beneficial on transforming strategic production plans based on demand forecasting into operational schedules. Furthermore, capacity planning tools can remarkably contribute to production planning: by Rough-Cut Capacity Planning (RCCP) tool, a MS plan can be critically analyzed in terms of available key resources in real manufacturing environment. Currently, there are remarkable inefficiencies when it comes to Ensto’s practices: the system is not able to take into consideration seasonal demand and react on market changes on time; This can cause significant lost sales. However, these inefficiencies could be eliminated through the appropriate utilization of MS and RCCP tools. To utilize MS and RCCP tools in Ensto’s production environment, further testing in real production environment is required. Moreover, data accuracy, appropriate commitment to adapting and learning the new tools, and continuous developing of functions closely related to MS, such as sales forecasting, need to be ensured.

Managing Seasonality in Tourism : Challenges and Opportunities for the Tourism Industry in Húsavík, Iceland

Seasonality is a common phenomenon in the tourism industry around the world. Húsavík, a town on the northern coast of Iceland, has experienced tremendous growth in tourism in recent years and is sometimes recognised as the „Whale Watching Capital of Europe‟. However, Húsavík faces extreme seasonality with high demand mainly during the summer months and limited or no demand at other times of the year. As is emphasised in the tourism literature and widely in practice, seasonality is frequently seen as a problem for the tourism industry which has to be tackled. Academic research has never before been done on seasonality in Húsavík and the aim of this thesis is to understand the nature of seasonality within the tourism industry in Húsavík and discover potential ways to reduce seasonality in Húsavík tourism. In order to fulfil the aim, qualitative semi-structured interviews were undertaken with six tourism managers in Húsavík to investigate their perceptions of seasonality and if and how it could be managed. The results confirmed that the peripheral location of the destination stimulates seasonality and it poses major economic challenges for tourism businesses in Húsavík. Managers would prefer a longer tourism season. Several recommendations were provided for how to reduce seasonality such as develop other attractions than whale watching, improve accessibility, focus marketing on seasons outside the summer, and offer winter packages for foreign and domestic tourists.

The infuence of production systems in postponement make-to-stock compagny in the graphic industry

The supply chain management, postponement and demand management operations are of strategic importance to the economic success of organizations because they directly influence the production process. The aim of this paper is to analyze the influence of the postponement in an enterprise production system with make-to-stock and with seasonal demand. The research method used was a case study, the instruments of data collection were semi-structured interviews, document analysis and site visits. The research is based on the following issues: Demand Management which can be understood as a practice that allows you to manage and coordinate the supply chain in reverse, in which consumers trigger actions for the delivery of products. The Supply Chain Management is able to allow the addition of value, exceeding the expectations of consumers, developing a relationship with suppliers and customer's win-win. The Postponement strategy must fit the characteristics of markets that require variety of customized products and services, lower cost and higher quality, aiming to support decision making. The production system make-to-stock shows enough interest to organizations that are operating in markets with high demand variability. © 2011 IEEE.

Escalonando uma aplicação paralela com demanda variável em ambiente de nuvem

This study proposes a solution responsible for scheduling data processing with variable demand in cloud environments. The system built check specific variables to the business context of a company incubated at Digital Metropole Institute of UFRN. Such a system generates an identification strategy machinery designs available in a cloud environment, focusing on processing performance, using data load balancing strategies and activities of parallelism in the software execution flow. The goal is to meet the seasonal demand within a standard time limit set by the company, controlling operating costs by using cloud services in the IaaS layer.

The seasonal forecast of electricity demand: A hierarchical Bayesian model with climatological weather generator

In this paper we focus on the one year ahead prediction of the electricity peak-demand daily trajectory during the winter season in Central England and Wales. We define a Bayesian hierarchical model for predicting the winter trajectories and present results based on the past observed weather. Thanks to the flexibility of the Bayesian approach, we are able to produce the marginal posterior distributions of all the predictands of interest. This is a fundamental progress with respect to the classical methods. The results are encouraging in both skill and representation of uncertainty. Further extensions are straightforward at least in principle. The main two of those consist in conditioning the weather generator model with respect to additional information like the knowledge of the first part of the winter and/or the seasonal weather forecast. Copyright (C) 2006 John Wiley & Sons, Ltd.

The seasonal forecast of electricity demand: A hierarchical Bayesian model with climatological weather generator

In this paper we focus on the one year ahead prediction of the electricity peak-demand daily trajectory during the winter season in Central England and Wales. We define a Bayesian hierarchical model for predicting the winter trajectories and present results based on the past observed weather. Thanks to the flexibility of the Bayesian approach, we are able to produce the marginal posterior distributions of all the predictands of interest. This is a fundamental progress with respect to the classical methods. The results are encouraging in both skill and representation of uncertainty. Further extensions are straightforward at least in principle. The main two of those consist in conditioning the weather generator model with respect to additional information like the knowledge of the first part of the winter and/or the seasonal weather forecast. Copyright (C) 2006 John Wiley & Sons, Ltd.

Seasonal concentration decomposition across segments of tourism demand

A la hora de aplicar medidas desestacionalizadoras, a los gestores de destinos turísticos les resulta complicado identificar qué tipo de turistas contribuyen a la desestacionalización, ya que estos turistas potenciales pueden estar pasando desapercibido por no disponer de una metodología que los identifique. Teniendo en cuenta esta deficiencia, en esta tesis se ha querido conseguir un enfoque de medición que proporcione información acerca del tipo de turista objetivo para reducir la concentración estacional en los destinos analizados. Para ello, la metodología que se emplea en esta tesis, que incluye la descomposición aditiva del índice de Gini, proporciona información acerca de la contribución de cada segmento de demanda a la concentración estacional total de un destino. Mediante el empleo de dicha descomposición, el componente estacional puede ser expresado a través de unos efectos relativos marginales que permiten identificar a aquellos turistas que se manifiesten más favorables para reducir la estacionalidad. De manera complementaria, se han estimado los factores estacionales mediante el método multiplicativo que sirven para mejorar el análisis ya que proporcionan los patrones estacionales de los segmentos de demanda analizados. Además, según el destino analizado, se han utilizado clasificaciones complejas atendiendo al origen del turista, su principal motivación de viaje y la región visitada dentro de cada uno de los destinos analizados, las cuales, han permitido discernir con mayor precisión dentro de clasificaciones poco homogéneas. La metodología empleada en esta tesis se propone como una medida de control y seguimiento con la que, analizando la evolución de los efectos relativos marginales a lo largo del período de los que se dispongan datos suficientemente desagregados y, sobre todo, del último año, podrían ajustarse las políticas turísticas orientadas a reducir los efectos de la estacionalidad. Con la aplicación de la metodología propuesta en los destinos turísticos analizados, en los que se ha empleado un nivel de desagregación suficiente, se pretende aportar información adicional a los gestores del turismo en cuanto a qué turistas deben dirigir sus políticas de captación, siempre y cuando su objetivo sea reducir la concentración estacional en estos destinos. Del mismo modo, se pretende conseguir una mejora de la efectividad de las políticas contra la estacionalidad, dirigiéndolas hacia aquellos segmentos de demanda identificados como menos propensos a la estacionalidad. Esta tesis ha sido elaborada por compendio de publicaciones y se ha estructurado en siete capítulos. El primer capítulo es una introducción donde se presentan las implicaciones de esta tesis en cuanto a los aspectos relacionados con la estacionalidad, así como la metodología empleada para la medición de la misma en los destinos analizados. En los siguientes capítulos se analiza la concentración estacional de tres destinos y sus regiones: el litoral de Andalucía (segundo y tercer capítulo), Argentina (cuarto y quinto capítulo), y el Reino Unido (sexto capítulo). Los resultados se muestran con la copia incluida de las cinco publicaciones que conforman esta tesis. Por último, se proporciona las conclusiones en el séptimo capítulo, donde se muestra un análisis general y un resumen de las conclusiones de todas las contribuciones.

Infusing the use of seasonal climate forecasting into crop management practice in North East Australia using discussion support software

Seasonal climate forecasting offers potential for improving management of crop production risks in the cropping systems of NE Australia. But how is this capability best connected to management practice? Over the past decade, we have pursued participative systems approaches involving simulation-aided discussion with advisers and decision-makers. This has led to the development of discussion support software as a key vehicle for facilitating infusion of forecasting capability into practice. In this paper, we set out the basis of our approach, its implementation and preliminary evaluation. We outline the development of the discussion support software Whopper Cropper, which was designed for, and in close consultation with, public and private advisers. Whopper Cropper consists of a database of simulation output and a graphical user interface to generate analyses of risks associated with crop management options. The charts produced provide conversation pieces for advisers to use with their farmer clients in relation to the significant decisions they face. An example application, detail of the software development process and an initial survey of user needs are presented. We suggest that discussion support software is about moving beyond traditional notions of supply-driven decision support systems. Discussion support software is largely demand-driven and can compliment participatory action research programs by providing cost-effective general delivery of simulation-aided discussions about relevant management actions. The critical role of farm management advisers and dialogue among key players is highlighted. We argue that the discussion support concept, as exemplified by the software tool Whopper Cropper and the group processes surrounding it, provides an effective means to infuse innovations, like seasonal climate forecasting, into farming practice. Crown Copyright (C) 2002 Published by Elsevier Science Ltd. All rights reserved.

Seasonal changes of whole root system conductance by a drought-tolerant grape root system

The role of root systems in drought tolerance is a subject of very limited information compared with above-ground responses. Adjustments to the ability of roots to supply water relative to shoot transpiration demand is proposed as a major means for woody perennial plants to tolerate drought, and is often expressed as changes in the ratios of leaf to root area (AL:AR). Seasonal root proliferation in a directed manner could increase the water supply function of roots independent of total root area (AR) and represents a mechanism whereby water supply to demand could be increased. To address this issue, seasonal root proliferation, stomatal conductance (gs) and whole root system hydraulic conductance (kr) were investigated for a drought-tolerant grape root system (Vitis berlandieri×V. rupestris cv. 1103P) and a non-drought-tolerant root system (Vitis riparia×V. rupestris cv. 101-14Mgt), upon which had been grafted the same drought-sensitive clone of Vitis vinifera cv. Merlot. Leaf water potentials (ψL) for Merlot grafted onto the 1103P root system (–0.91±0.02 MPa) were +0.15 MPa higher than Merlot on 101-14Mgt (–1.06±0.03 MPa) during spring, but dropped by approximately –0.4 MPa from spring to autumn, and were significantly lower by –0.15 MPa (–1.43±0.02 MPa) than for Merlot on 101-14Mgt (at –1.28±0.02 MPa). Surprisingly, gs of Merlot on the drought-tolerant root system (1103P) was less down-regulated and canopies maintained evaporative fluxes ranging from 35–20 mmol vine−1 s−1 during the diurnal peak from spring to autumn, respectively, three times greater than those measured for Merlot on the drought-sensitive rootstock 101-14Mgt. The drought-tolerant root system grew more roots at depth during the warm summer dry period, and the whole root system conductance (kr) increased from 0.004 to 0.009 kg MPa−1 s−1 during that same time period. The changes in kr could not be explained by xylem anatomy or conductivity changes of individual root segments. Thus, the manner in which drought tolerance was conveyed to the drought-sensitive clone appeared to arise from deep root proliferation during the hottest and driest part of the season, rather than through changes in xylem structure, xylem density or stomatal regulation. This information can be useful to growers on a site-specific basis in selecting rootstocks for grape clonal material (scions) grafted to them.

Differences in seasonal price patterns among second home rentals and hotels: Empirical evidence and practical implications

Hotels and second home rentals are two of the most important tourist accommodation options in Spain. In terms of seasonality, almost all previous studies have analysed tourism demand from the point of view either of total arrivals or the number of tourists lodged in a single accommodation type (hotels, rural accommodation, etc). However, there are no studies focusing on price seasonality orcomparing seasonality among different accommodation types. By using seasonality indicators and a price index constructed by means of hedonic methods, this paper aims to shed some light on seasonal pricing patterns among second home rentals and hotels. The paper relies on a 2004 database of 144 hotels and 1,002 apartments on the Costa Brava (northeast Spain). The results show that prices for second home rentals display a smoother seasonal pattern than hotels due to reduced price differences between shoulder (May and October) and peak periods (August)

Tourism Demand in Catalonia: detecting external economic factors

There is a lack of studies on tourism demand in Catalonia. To fill the gap, this paper focuses on detecting the macroeconomic factors that determine tourism demand in Catalonia. We also analyse the relation between these factors and tourism demand. Despite the strong seasonal component and the outliers in the time series of some countries, overnight stays give a better indication of tourism demand in Catalonia than the number of tourists. The degree of linear association between the macroeconomic variables and tourism demand is also higher when using quarterly rather than monthly data. Finally, there are notable differences between the results obtained for the different countries analysed. These results indicate that the best way to model tourism demand in Catalonia is to specify a quarterly model of overnight stays, differentiating between an aggregate demand model for the total number of tourists and specific models for each of the countries analysed.

Merchandising Strategies and Retail Performance for Seasonal Fashion Products

This study presents mathematical methods for evaluation of retail performance with special regard to product sourcing strategies. Forecast accuracy, process lead time, offshore / local sourcing mix and up front / replenishment buying mix are defined as critical success factors in connection with sourcing seasonal products with a fashion content. As success measures, this research focuses on service level, lost sales, product substitute percentage, gross margin, gross margin return on inventory and mark down rate. The accuracy of demand forecast is found to be a fundamental success factor. Forecast accuracy depends on lead time. Lead times are traditionally long and buying decisions are made seven to eight months prior to the start of the selling season. Forecast errors cause stockouts and lost sales. Some of the products bought for the selling season will not be sold and have to be marked down and sold at clearance, causing loss of gross margin. Gross margin percentage is not the best tool for evaluating sourcing decisions and in the context of this study gross margin return on inventory, which combines profitability and assets management, is used. The findings of this research suggest that there are more profitable ways of sourcing products than buying them from low cost offshore sources. Mixing up front and inseason replenishment deliveries, especially when point of sale information is used for improving forecast accuracy, results in better retail performance. Quick Response and Vendor Managed Inventory strategies yield better results than traditional up front buying from offshore even if local purchase prices are higher. Increasing the number of selling seasons, slight over buying for the season in order to