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"Supply-chain preparedness means to design inter-organisational structures,
to organise supply-chain resources, and to plan and train to ensure efficient
response if this is called for. Acknowledging that supply chains are made up of
two or more organisations, and that interaction describes relations between two or
more actors, the purpose of this research is to explore whether the introduction of
the concept of interaction (samhandling) to supply-chain thinking adds to our understanding
of efficiency and the effectiveness of logistics preparedness.
We position our work along three dimensions: a profit – non-profit classification,
a descriptive – normative dichotomy, and a micro – macro continuum. Information
was retrieved both through semi-structured interviews and by studying secondary
sources. Interaction and preparedness is assessed through an empirical case: the
operation Atalanta. By applying interactional indicators, enablers and barriers to
relationship success can be studied at both micro, meso, and macro levels. Without
understanding the mechanisms leading to interactional competence, success (or
the lack thereof) in supply-chain preparedness is difficult to address properly. Thus,
managers need to assess the interactional constructs at all levels when planning and
training for preparedness."

Samhandling --- interaction --- preparedness --- supply chain management --- defence logistics --- collaboration

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This edited volume contains the selected papers presented at the scientific board meeting of the German Cluster of Excellence on “Integrative Production Technology for High-Wage Countries”, held in November 2014. The topical structure of the book is clustered in six sessions: Integrative Production Technology, Individualised Production, Virtual Production Systems, Integrated Technologies, Self-Optimising Production Systems and Human Factors in Production Technology. The Aachen perspective on a holistic theory of production is complemented by conference papers from external leading researchers in the fields of production, materials science and bordering disciplines. The target audience primarily comprises research experts and practitioners in the field but the book may also be beneficial for graduate students.

Manufacturing, Machines, Tools --- Production/Logistics/Supply Chain Management --- Machinery and Machine Elements

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Ein entscheidender Erfolgsfaktor jeder Supply Chain ist das adäquate Design ihrer Leistungserstellungsprozesse. Da diese Prozesse regelmäßig durch einen hohen Grad an Komplexität gekennzeichnet sind, stellt deren Gestaltung eine große Herausforderung dar. In dieser Forschungsarbeit wird deshalb die Frage behandelt, wie komplexe Leitungserstellungsprozesse einer Supply Chain effektiv und effizient verbessert werden können. Dazu wird eine systematische Vorgehensweise für die Analyse und Bewertung von Supply Chain Prozessen vorgestellt und im Rahmen einer Fallstudie auf eine reale Logistikkette in der Elektronikindustrie angewandt. Bei der Prozessanalyse wird eine Reduktion der Komplexität durch eine Kombination von analytischen Methoden und Simulation erzielt, sodass nicht nur die Validität der Ergebnisse, sondern auch die praktische Umsetzbarkeit gewährleistet ist. Die Bewertung von alternativen Prozessdesigns erfolgt multikriteriell und strategiebasierend, damit sowohl Zielkonflikte als auch die verfolgte Strategie der Logistikkette Berücksichtigung finden. Generell spielt die Wahl des marktbezogenen Produktionstyps (z.B. Make-to-Order, Make-to-Stock) bei der Verbesserung von Supply Chain Prozessen eine entscheidende Rolle. Daher wird auf diesen Aspekt besonders eingegangen, wobei der hybride Produktionstyp Make-to-Forecast in einem Supply Chain-Kontext in der Fallstudie implementiert wird.

Analyse --- Auftragsentkopplungspunkts --- Bewertung --- Chain --- dynamischer --- Festlegung --- komplexer --- Prozessanalyse --- Prozessbewertung --- Prozesse --- Schodl --- Simulation --- Supply --- Supply Chain Management --- Systematische

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Supply chains consist of all processes which are needed in order to supply customers with the required products. Traditionally, supply chain management decisions are based on the economic performance of the involved parties. But in recent years, other criteria, such as quality, flexibility or the environment, have become important as well. Especially carbon emissions are high on the political agenda because they are considered to be a major cause of the greenhouse gas effect. In this work it is shown how the performance of supply chains can be evaluated considering both economic and environmental criteria. In particular, the work deals with dual sourcing in the context of the newsvendor model. The impact of environmental regulations (emission taxes and emission trading) on the decisions of companies is analysed.

Dual --- Economic --- emission taxes --- emission trading --- Environmental --- Newsvendor model --- offshore supplier --- onshore supplier --- pareto-optimal solution --- Rosic --- Sourcing --- Supply chain management --- Sustainabilit --- Sustainability

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This Special Issue covers symmetry and asymmetry phenomena occurring in real-life problems. We invited authors to submit their theoretical or experimental research presenting engineering and economic problem solution models dealing with the symmetry or asymmetry of different types of information. The issue gained interest in the research community and received many submissions. After rigorous scientific evaluation by editors and reviewers, nine papers were accepted and published. The authors proposed different MADM and MODM solution models as integrated tools to find a balance between the components of sustainable global development, to find a symmetry axis concerning goals, risks, and constraints to cope with the complicated problems. Most approaches suggested decision models under uncertainty, combining the usual decision-making methods with interval-valued fuzzy or rough sets theory, also Z numbers. The application fields of the proposed models involved both problems of technological sciences and social sciences. The papers cover three essential areas: engineering, economy, and management. We hope that a summary of the Special Issue as provided here will encourage a detailed analysis of the papers included in the Printed Edition.

multi-criteria decision-making (MCDM) --- group decision-making --- interval type-2 fuzzy set (IT2FS) --- subjective weights --- criteria weights --- Step-wise Weight Assessment Ratio Analysis (SWARA) --- multiple attribute decision making (MADM) --- neutrosophic numbers --- 2-tuple linguistic neutrosophic numbers set (2TLNNSs) --- Bonferroni mean (BM) operator --- generalized Bonferroni mean (GBM) operator --- dual generalized Bonferroni mean (DGBM) operator --- dual generalized geometric Bonferroni mean (DGGBM) operator --- green supplier selection --- green supply chain management --- Pythagorean fuzzy set --- normal cloud --- MCGDM --- backward cloud transformation --- MCDM --- the criteria of the weights --- Bayes’ theorem --- combining the weights --- symmetry of the method --- IDOCRIW --- FAHP --- evaluating the quality of distant courses --- optimal dividend --- capital injection --- salvage value --- transaction cost --- excess-of-loss reinsurance --- thrust --- data logger --- sensor --- quadcopter --- measurement --- control system --- stability --- data envelopment analysis --- Z-numbers --- full fuzzy environment --- fuzzy efficiency --- rough ARAS --- transport --- performance --- logistics --- MCDM --- probabilistic systems analysis --- nonlinear dynamics --- public management --- pattern formation --- resources distribution --- population sizes --- information theory --- oscillations --- hybrid problem solution models --- multiple-criteria decision-making (MCDM) --- hybrid MCDM --- criteria weight assessment --- fuzzy sets --- rough sets --- Z-numbers --- neutrosophic numbers --- Bonferroni mean (BM) operator --- engineering problems --- economic decisions