Sustainable R&D portfolio assessment.

Research and development portfolio management is traditionally technologically and financially dominated, with little or no attention to the sustainable focus, which represents the triple bottom line: not only financial (and technical) issues but also human and environmental values. This is mainly due to the lack of quantified and reliable data on the human aspects of product/service development: usability, ecology, ethics, product experience, perceived quality etc. Even if these data are available, then consistent decision support tools are not ready available. Based on the findings from an industry review, we developed a DEA model that permits to support strategic R&D portfolio management. We underscore the usability of this approach with real life examples from two different industries: consumables and materials manufacturing (polymers).R&D portfolio management; Data envelopment analysis; Sustainable R&D;

Building best practice automotive after sales network:The Volkswagen case

This thesis aims to analyze the service operations and networks in the automotive industry as research into the automotive After Sales service network lacks the necessary fine details and industrial feedback. Its purpose is to present the insights and lessons learned from studying the After Sales service network of Volkswagen, thereby defining a roadmap for further research, and to discuss the needs of the sector. The foremost idea in defining the research question was based on the observation that the automotive After Sales business could be improved by applying and adapting principles and methods used in other industries and in the field of Business Operations research. The initial step thereafter was an extensive external and internal literature research. The key characteristics of the automotive industry in Germany, at the VW Group, at OEMs and at the wholesale level were identified and are described in chapter two. In chapter three the primary After Sales processes are described and analyzed, from the interaction with the customer to the necessary activities at wholesale and OEM level. The proposed research methodology relied on extensive external and internal research and a qualitative and quantitative approach based on structured, in-depth interviews and direct observation. The objective of the interviews was to highlight the most important activities in the service delivery operations within the network and identify the major key factors for success or failure. The best practice dealer model is described in chapter five and was subsequently abstracted and generalized so that it can be applied to other industries too. A Data Envelopment Analysis (DEA), described in chapter six, was undertaken to determine the “efficient frontier” of service operations. Key performance indicators were identified from the important elements discussed and the best practices. In order to achieve an in-depth understanding of their general business models a benchmark analysis of six companies from industrial sectors complementary to the automotive business was then carried out and is described in chapter seven. The thesis highlights the development of a “best practice” network in chapter eight. This network grasps the dynamics of After Sales activities in the light of new technological developments and the experience gained from the benchmark with other industries. The thesis closes with an evaluation of the research work

Application of DEA in benchmarking: a systematic literature review from 2003–2020

Benchmarking is an effective method for organizations to increase their productivity, quality of products, reliability of processes or services. The organization may make a comparison between its performance and that of the peers from benchmarking, and recognize their advantages as well as disadvantages. The main objective of the present systematic literature review has been the study of DEA benchmarking process. Therefore, it examined and gave a summary of various DEA models applied worldwide to improve benchmarking. Accordingly, a list of published academic papers that appeared in high-ranking journals between 2003 and February 2020 was collected for a systematic review of the DEA benchmarking application. Consequently, the papers selected have been classified according to year of publication, purpose of research, outcomes and results. This study has identified eight major applications including: transportation, service sector, product planning, maintenance, hotel industry, education, distribution and environmental factors. They take up a total of 82% of all application-embedded papers. Among all the applications, the highest recent development has been in both the transportation and service sectors. Results showed higher potential of DEA as a suitable evaluation method for the further benchmarking researches, wherein the production feature between outputs and inputs has been practically lacked or very hard to obtain. First published online 4 January 202

Supply Chain Management Best Practices In Project Based Business Environment

The ever-growing competition in industrialized world has driven organizations to evaluate properly the possibilities to response the competition and seeking ways to differ from the other actors. Noting the high influence of supply chain management activities to the overall performance of the enterprise, has led to the re-structuring of procurement organizations and aiming towards more strategic approach to reach competitive advantage. This thesis-research was done as an assignment for Ruukki Building Systems Oy, by focusing to investigate best practices of supply chain management in four different sub-areas called; organization design, supply base management, make or buy and performance measurement. The aim is to benchmark best-in-class organizations and their actions in defined sub-areas. The research was conducted by using a qualitative method. The data was gathered by interviewing nine best-in-class organizations originated in Sweden and Finland. The empirical part was conducted as a benchmarking analysis based on the data gathered from the interviews. Due to the nature of the analysis, some assumptions and suppositions were made to be able to conduct conclusion. All terms and frameworks used in the research have been noted earlier in literature. Results prove that enterprises have been focusing highly to find balance internally in organizations to serve peer functions with strong effort, by achieving cost savings and thereby profitability. The strategic viewpoint of studied actions in field of supply chain management has noted significantly and driven to build up a framework to reach efficient and effective supply base which is measurable in terms of strategic alignment of corporate targets.Alati kiristyvä kilpailu teollistuneessa maailmassa on ajanut organisaatiot etsimään ja arvioimaan tarkasti mahdollisia keinoja vastata kilpailuun sekä erottautumaan muista toimijoista markkinoilla. Toimitusketjun hallintaan liittyvien tekijöiden vaikutus yrityksen kokonaisvaltaiseen tehokkuuteen, on ajanut yritykset järjestämään organisaatiota uudelleen ja tavoittelemaan strategisempaa lähestymistapaa hankintatoimien suorittamiseen kilpailukyvyn näkökulmasta. Tämä tutkimus tehtiin toimeksiantona Ruukki Building Systems Oy:lle. Työn tavoitteena oli vertailla menestyvien yritysten toimitusketjunhallintaan liittyviä käytänteitä, neljällä eri osa-alueella: hankinnan organisoituminen, toimittajapohjanhallinta, ulkoistaminen sekä mittaaminen ja raportointi. Työ toteutettiin laadullisena tutkimuksena. Empiirinen aineisto kerättiin haastattelemalla yhdeksää valittujen yritysten hankintajohtajaa Suomessa sekä Ruotsissa. Empiirinen osio suoritettiin vertailuanalyysina, jonka avulla pyrittiin löytämään parhaita käytänteitä toimitusketjunhallintaa projektiympäristössä. Joitain oletuksia ja tulkintoja tehtiin analyysin toteuttamiseksi. Kaikki termit ja mallit, joita tutkimuksessa käsitellään, on esitetty aiemmissa tutkimuksissa. Tulokset osoittavat, että yritykset ovat pyrkineet tasapainottamaan organisaation ja sen rakenteen palvellakseen tehokkaasti rinnakkaisfunktioita, saavuttaakseen kustannussäästöjä ja siten kannattavuutta. Strateginen näkökulma tutkituilla osa-alueilla on nähty kriittisenä tekijänä, jotta pystyttäisiin rakentamaan viitekehys, jota pystytään johtamaan tehokkaasti sekä mittaamaan organisaation strategisten tavoitteiden saavuttamiseksi

An overview of fuzzy techniques in supply chain management: bibliometrics, methodologies, applications and future directions

Every practice in supply chain management (SCM) requires decision making. However, due to the complexity of evaluated objects and the cognitive limitations of individuals, the decision information given by experts is often fuzzy, which may make it difficult to make decisions. In this regard, many scholars applied fuzzy techniques to solve decision making problems in SCM. Although there were review papers about either fuzzy methods or SCM, most of them did not use bibliometrics methods or did not consider fuzzy sets theory-based techniques comprehensively in SCM. In this paper, for the purpose of analyzing the advances of fuzzy techniques in SCM, we review 301 relevant papers from 1998 to 2020. By the analyses in terms of bibliometrics, methodologies and applications, publication trends, popular methods such as fuzzy MCDM methods, and hot applications such as supplier selection, are found. Finally, we propose future directions regarding fuzzy techniques in SCM. It is hoped that this paper would be helpful for scholars and practitioners in the field of fuzzy decision making and SCM

Ein DEA-basierter Ansatz zur Messung der Performance bei zentralisierten Managementstrukturen

Traditional performance measurement approaches are usually characterized by a number of different limitations. Among other things, these approaches require the subjective determination of weights to aggregate a set of indicators to an overall performance score. Furthermore, traditional approaches are usually not able to incorporate additional improvement potentials that can be received from a centralized management. A performance measurement framework which can overcome these limitations is called data envelopment analysis (DEA). Against this background, this thesis provides a thorough overview of how different degrees of centralization are modeled in the current DEA literature. The systematic literature review identified 135 different approaches that assume a centralized or partially centralized management structure. A concluding discussion of the respective DEA approaches showed two fundamental research gaps. In response to this, this thesis has two fundamental objectives: The first objective is to propose a DEA-based performance measurement approach for measuring performance changes over time. The second objective is to develop another DEA-based approach for comparing the performance of management groups. In contrast to so far developed DEA-models, the here proposed approaches explicitly incorporate the respective management structure. Both DEA approaches thus developed are based on the combination of the metafrontier concept and the Malmquist index. The first approach evaluates productivity changes of operating entities over time and, hence, may indicate potential sources for performance changes. Thereby, the proposed approach preserves the individual characteristics of each local group technology. The second DEA approach proposed here uses the Malmquist index for comparing the performance of management groups. This index accounts for the existence of a central decision maker who can, e.g., undertake resource reallocations to improve the overall performance of its managed group. The applicability and usefulness of both proposed approaches is empirically shown with real-world data from KONE Corporation.Traditionelle Performance Measurement Ansätze gehen mit einer Reihe von Herausforderungen einher. So erfordert die Aggregation unterschiedlicher Kennzahlen zu einem einzelnen Performancemaß die Verwendung von subjektiven Gewichtungen. Darüber hinaus lassen sich in traditionellen Ansätzen nur schwer etwaige Verbesserungspotentiale modellieren, die aus zentralisierten Managementstrukturen resultieren. Eine betriebswirtschaftliche Methode, welche die genannten Limitationen nicht aufweist, ist die Data Envelopment Analysis (DEA). Aufgrund dieser Vorteile wird in dieser Arbeit zunächst ein umfassender Literaturüberblick erarbeitet, wie unterschiedliche Managementstrukturen in einer DEA modelliert werden können. Mithilfe der Literaturrecherche wurden insgesamt 135 unterschiedliche Ansätze ermittelt, die entweder ein vollkommen zentralisiertes oder teilweise zentralisiertes Managementmodell unterstellen. Eine abschließende Diskussion der verschiedenen DEA-Ansätze zeigte allerdings eine Forschungslücke, woraus die beiden folgenden Forschungsziele für diese Arbeit abgeleitet wurden: Einerseits soll ein DEA-basierter Ansatz erarbeitet werden, der zur Messung von Effizienzveränderungen einzelner Produktiveinheiten über die Zeit geeignet ist. Andererseits soll eine DEA-basierte Methode entwickelt werden, welche bei Performancevergleichen zwischen Managementgruppen anwendbar ist. Im Gegensatz zu den bisher in der Literatur diskutierten Ansätzen sollten die entwickelten Methoden dabei die jeweils vorliegende Managementstruktur berücksichtigen. Die entwickelten DEA-Ansätze basieren auf der Kombination des Metafrontier-Konzepts mit dem Malmquist-Index. Der erste Ansatz erlaubt es, Performanceveränderungen von einzelnen Produktiveinheiten über mehrere Zeitperioden zu messen. Im Gegensatz zu konventionellen Metafrontier-basierten Malmquist-Indizes berücksichtigt der vorgeschlagene Ansatz die individuellen Eigenschaften der lokalen Produktionstechnologien. Der zweite vorgeschlagene DEA-Ansatz nutzt den Malmquist-Index für den Vergleich der Performance von Managementgruppen. Der Index berücksichtigt dabei explizit, dass eine zentrale Entscheidungsinstanz existiert, welche Ressourcenumverteilungen durchführen kann. Beide Ansätze werden anhand eines Datensatzes des Unternehmens KONE illustriert

Grabbing the Air Force by the Tail: Applying Strategic Cost Analytics to Understand and Manage Indirect Cost Behavior

Recent and projected reductions in defense spending are forcing the military services to develop systematic approaches to identify cost reduction opportunities and better manage financial resources. In response, the Air Force along with her sister services are developing strategic approaches to reduce front-line mission resources, commonly referred to as the Tooth . However, an underemphasized contributing source of costs are mission support activities, commonly referred to as the Tail . With the tail historically representing a sizable portion of the annual Air Force budget, strategically managing cost behavior of these indirect activities has the opportunity to generate significant cost reductions. However, very little applied or academic research have focused on advancing the knowledge behind the economics of, or the analytic techniques applied to, these activities for cost management purposes. To address this concern, this dissertation investigates i) how organizations use analytic methodologies and data sources to understand and manage cost behavior, ii) how to identify underlying cost curves of concern across tail activities, iii) how to distinguish historical relationships between the tooth and tail, iv) how to improve the performance assessment of tail activities for improved resource allocation, and v) how to provide a decision support tool for tooth-to-tail policy impact analysis