AN EVALUATION OF PROCESS‐ORIENTED SUPPLY CHAIN MANAGEMENT FRAMEWORKS

Supply chain management (SCM) is implemented by integrating corporate functions using business processes within and across companies. Several process‐oriented frameworks for SCM have been proposed but only two of these provide sufficient detail to enable implementation. We evaluate the Supply‐Chain Operations Reference (SCOR) framework and The Global Supply Chain Forum (GSCF) framework using four criteria and identify their relative strengths and weaknesses.     

Macroeconomic Fluctuations and Bank Lending: Evidence for Germany and the Euro Area

Abstract. This paper analyzes the dynamic response of loans to the private sector and of economic activity to aggregate supply, demand and monetary policy shocks in Germany and the euro area based on a standard macroeconomic VAR using sign restrictions to identify the structural shocks. The main results of this analysis are that (i) with the exception of the response to the supply shock in Germany, the response of loans to the three macroeconomic shocks is rather weak and in most cases insignificant; (ii) the 2000–05 credit slowdown and weak economic performance in Germany were primarily driven by adverse supply shocks; and (iii) the marked slowdown in credit creation in Germany over this period actually represents a realignment of the outstanding stock of loans with its deterministic level. In order to assess the role of bank lending in the transmission of macroeconomic shocks, we further perform counterfactual simulations and analyze the dynamic responses of German loan subaggregates in order to test the distributional implications of potential credit market frictions. These exercises do not indicate that credit market frictions play an amplifying role in the transmission of macroeconomic fluctuations.     

Optimising a Probabilistic Model of the Development of Play in Soccer

We present a probabilistic model based on the one developed by Hernández Mendo and Anguera (Revista de Psicologíca Social, 16(1), 71–93, 2001). Here we have tried to break down the interaction contexts that the opposing teams are able to generate and transform during the game. We are aware that a given player or team does not produce consistent behaviour in similar situations. However, a degree of uncertainty is assumed to exist regarding whether the results obtained are a specific function of the analysis used. In order to carry out this research a category system which optimized that used in the previous model was developed. This system should enable the interaction between teams to be observed within the actual play of a soccer game. A lag sequential analysis was performed on the basis of a coding of the behavioural flow. After describing the behavioural patterns obtained a probabilistic model of the development of play in soccer is proposed.     

THE JOINT ARRIVAL AND DEPARTURE PROCESS FOR THE M/M/l QUEUE

We consider the M/M/1-queue and derive an explicit expression for the joint distribution of the number of arrivals and the number of departures in [0, t), given the number of customers initially present. The derivation is almost purely combinatorial, it avoids the use of generating functions, and immediately yields a simple probabilistic interpretation of the result.