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This research presents a decision support methodology for the multi-criteria supplier selection and order allocation problem. The proposed approach supports purchasing managers in assembling mid-term supplier portfolios while making them aware of the trade-offs between the supplier sustainability, the purchasing costs, and the overall supply risk. First, we propose a multi-objective optimization model with three objectives: to maximize the supplier sustainability, to select the supplier portfolio with the lowest purchasing costs, and to minimize the supply risk. Our model extends existing mathematical approaches that follow the portfolio theory fathered by H. Markowitz by integrating the aspect ‘risk’ into the supplier selection problem. Secondly, since we allow for integer variables in our model—in contrast to the classical Markowitz portfolio theory—we use the ε-constraint method to visualize the efficient surface. The possibility of considering the non-dominated set of supplier portfolios is advantageous for purchasing managers as they gain a picture of the different optimal supplier portfolios and are able to analyze the trade-offs between the different purchasing goals before making a decision. Finally, we illustrate the applicability of the proposed methodology in a real-world supplier selection and order allocation case from the automotive industry. In the example case, we identify 1754 optimal supplier portfolios that may be assembled based on the eight available suppliers. Our analyses show that each optimal portfolio consists of two suppliers, with one specific supplier being included in each portfolio. Furthermore, four suppliers are not part of any optimal solution.
At present, there is no globally accepted standard for the allocation of greenhouse gas (GHG) emissions to shipments in road freight transportation. The only official international standard for emission calculation of transport operations is the European Norm EN-16258. However, even this norm still allows choosing from several alternative emission allocation schemes. This research aims to harmonize the process of GHG declarations for supply chains by identifying among all allocation units specified by EN-16258 the one that describes a shipment's contribution to GHG emissions best. For this purpose, concepts of the cooperative game theory are used. First, we develop three transport scenarios that allow studying a shipment's effect on GHG: a vehicle routing problem, a network flow model, and a mixed scenario. Our approach extends previous research projects because we take into account that shipment characteristics in terms of origin, destination, weight, and volume consume transport capacities to different degrees, impact the routing of the commercial vehicles and, thus, determine GHG. Second, we present the results of a computational study that bases on the introduced transport scenarios and that compares the allocation vectors resulting from the EN-16258 allocation rules with the Shapley value, which serves as a benchmark for a shipment's contribution to GHG. Furthermore, we show how often the EN-16258 allocation principles are in line with a set of game theoretical fairness criteria. The results indicate that the allocation unit ‘distance’ is the closest to the game theory benchmark and most often in line with game theoretical fairness criteria.
This research presents a novel, state-of-the-art methodology for solving a multi-criteria supplier selection problem considering risk and sustainability. It combines multi-objective optimization with the analytic network process to take into account sustainability requirements of a supplier portfolio configuration. To integrate ‘risk’ into the supplier selection problem, we develop a multi-objective optimization model based on the investment portfolio theory introduced by Markowitz. The proposed model is a non-standard portfolio selection problem with four objectives: (1) minimizing the purchasing costs, (2) selecting the supplier portfolio with the highest logistics service, (3) minimizing the supply risk, and (4) ordering as much as possible from those suppliers with outstanding sustainability performance. The optimization model, which has three linear and one quadratic objective function, is solved by an algorithm that analytically computes a set of efficient solutions and provides graphical decision support through a visualization of the complete and exactly-computed Pareto front (a posteriori approach). The possibility of computing all Pareto-optimal supplier portfolios is beneficial for decision makers as they can compare all optimal solutions at once, identify the trade-offs between the criteria, and study how the different objectives of supplier portfolio configuration may be balanced to finally choose the composition that satisfies the purchasing company's strategy best. The approach has been applied to a real-world supplier portfolio configuration case to demonstrate its applicability and to analyze how the consideration of sustainability requirements may affect the traditional supplier selection and purchasing goals in a real-life setting.
Ziel des Beitrags ist ein integrativer Überblick sowie eine Analyse der Chancen und Risiken von F&E-Aktivitäten multinationaler Pharmaunternehmen in Schwellenländern. Dafür wurde die Literatur zu F&E-Aktivitäten von Big-Pharmaunternehmen und deren Internationalisierung in Schwellenländern systematisch ausgewertet. Das traditionelle F&E-Modell, bei dem Big-Pharmaunternehmen ihre F&E selbst und zentralisiert durchführen, wird durch neue F&E-Ansätze in den Schwellenländern ergänzt. Diese umfassen die Diversifizierung des Produktportfolios, Outsourcing und Kooperationen sowie die Entstehung von Innovationsclustern in Schwellenländern. Aus der Kombination dieser Ansätze ergeben sich drei neue Geschäftsmodelle für Big-Pharmaunternehmen.
Virtual teams that use integrated communication technologies are ubiquitous in cross-border collaboration. This study explored media use and communication performance in multilingual virtual teams. Based on surveys from 96 virtual teams (with 578 team members), the research showed that more time spent in synchronous communication channels such as online conferences increased inclusion and satisfaction. Team members with lower language proficiency felt less included in synchronous and asynchronous collaboration, whereas team members with higher language proficiency felt less satisfied with asynchronous collaboration. Also, limited language proficiency speakers were significantly less likely to view synchronous tools as helpful for their teams to reach a mutual decision. Our data supports Media Synchronicity Theory (MST) for native and highly proficient English speakers. However, MST needs to be adjusted to account for different levels of language proficiency.
Purpose
The purpose of this paper is to investigate how professional football clubs from the English Premier League, German Bundesliga and Spanish Primera División use digital media to expand their international reach in emerging football markets (EFM) outside of Europe. Based on the EPRG framework and Rugman’s home-region hypothesis, the aim is to broaden the perspective where “sports go global” for a further understanding of actors’ international orientation in the digital sphere.
Design/methodology/approach
The study is based on data from desk research and a qualitative survey, comprising information on international digital media activities of 58 European clubs. Cluster analysis is used to identify different international orientations with regard to digital media activities.
Findings
The data provide evidence that clubs differ strongly in their orientations towards EFM. While some global players that provide digital media content in several EFM languages and attract a large share of Facebook followers from EFM exist, other clubs focus on their home region. League-specific differences become apparent.
Originality/value
This study determines the international online orientations of European football clubs by combining two previously separated research streams in football management studies: internationalisation and digital media activities. Most clubs with a strong EFM fan base choose polycentric, multi-language digital media strategies, followed by geocentric, standardised approaches. By offering a novel angle on internationalisation in professional football, this study contributes towards optimising clubs’ international online strategies for EFM, which are markets that promise high growth rates.
Es wird ein Verfahren zum Simulieren von Vorgängen vorgestellt, das auf der Messung des Eingriffs in ein reales System und dessen gemessener Reaktion beruht. Das Verfahren ist vollständig transparent, denn die notwendigen theoretischen Voraussetzungen zum Verständnis des Verfahrens bestehen nur aus Lehrinhalten aus dem Bachelorstudium für Ingenieure: das Lösen linearer DGLs mit konstanten Koeffizienten, die Laplace-Transformation und die Methode der kleinsten Quadrate. Es kommt ohne nichtlineare Optimierer oder Iterationen aus, weil die Lösung in zwei analytischen Gleichungen ausgedrückt werden kann. Das
Verfahren hat in der Praxis ein großes Einsatzspektrum, denn es ist auf stabile und instabile Systeme mit und ohne Dämpfung anwendbar. Für die Wahl des Eingangssignals gibt es keine Einschränkung und die Anfangsbedingungen können mitgeschätzt werden. Das Verfahren kann im offenen und im geschlossenen Regelkreis eingesetzt werden.
Zur Lösung einer regelungstechnischen Entwurfsaufgabe benötigt man ein Simulationsmodell der Regelstrecke. Entweder benötigt man es, weil es die meisten Entwurfsverfahren zur Bestimmung der Reglerparameter als gegeben voraussetzen oder weil man das Verhalten des Regelkreises zur Verifikation des gewünschten Verhaltens gefahrlos simulieren möchte, bevor man den Regler in dem realen geschlossenen Regelkreis verwendet. Die Motivation zur Entwicklung des hier vorgestellten Verfahrens ist es, Bachelor-Studenten der Ingenieurswissenschaften aus dem höheren Semester, die zum ersten Mal mit Regelungstechnik in Berührung kommen, ein möglichst allgemein anwendbares Verfahren zur Bildung von Streckenübertragungsfunktionen an die Hand zu geben, das von der Theorie her vollständig transparent und allein mit dem aus der Mathematik bisher Gelernten „verstehbar“ für sie ist. Grundsätzlich gibt es zwei verschiedene Arten, ein Simulationsmodell der Regelstrecke zu gewinnen: Bei der physikalischen oder theoretischen Modellbildung werden physikalische Erhaltungssätze auf den idealisierten sprich vereinfachten technischen Vorgang angewendet und nach den gewählten Ein- bzw. Ausgangssignalen umgeformt. Diese Vorgehensweise kann sehr zeitaufwendig sein und hinzukommt, dass Parameter des Modells meist unbekannt sind. Bei der experimentellen Modellbildung geht man von einem gemessenen Ein- bzw. Ausgangssignal aus und gleicht über mehr oder weniger aufwändige Optimierungsverfahren die simulierte Antwort an die gemessene Antwort an.