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exactly one unit is placed each time the on-hand inventory decreases by one unit The lead times of the replenishments are independent and identically distributed random variables with mean Establish an equivalence with the Erlang loss model and give expressions for the long-run average on-hand inventory and the long-run fraction of demand that is lost 514 In an electronic system there are c elements of a crucial component connected in parallel to increase the reliability of the system Each component is switched on and the lifetimes of the components have an exponential distribution with mean 1/ The lifetimes of the components are independent of each other The electronic system is working as long as at least one of the components is functioning, otherwise the system is down A component that fails is replaced by a new one It takes an exponentially distributed time with mean 1/ to replace a failed component Only one failed component can be replaced at a time (a) Use a continuous-time Markov chain to calculate the long-run fraction of time the system is down Specify the transition rate diagram rst (b) Does the answer in (a) change when the replacement time of a failed component has a eneral probability distribution with mean 1/ (Hint : compare the transition rate diagram with the transition rate diagram in the Erlang loss model) 515 Reconsider Exercise 514 but this time assume there are ample repairmen to replace failed components (a) Use a continuous-time Markov chain to calculate the long-run fraction of time the system is down Specify the transition rate diagram rst (b) What happens to the answer in (a) when the replacement time is xed rather than exponentially distributed (Hint : compare the transition rate diagram with the transition rate diagram in the Engset loss model) 516 Suppose you have two groups of servers each without waiting room The rst group consists of c1 identical servers each having an exponential service rate 1 and the second group consists of c2 identical servers each having an exponential service rate 2 Customers for group i arrive according to a Poisson process with rate i (i = 1, 2) A customer who nds all servers in his group busy upon arrival is served by a server in the other group, provided one is free, otherwise the customer is lost Show how to calculate the long-run fraction of customers lost 517 Consider a conveyor system at which items for processing arrive according to a Poisson process with rate The service requirements of the items are independent random variables having a common exponential distribution with mean 1/ The conveyor system has two work stations 1 and 2 that are placed according to this order along the conveyor Workstation i consists of si identical service channels, each having a constant processing rate of i (i = 1, 2); that is, an item processed at workstation i has an average processing time of 1/( i ) Both workstations have no storage capacity and each service channel can handle only one item at a time An arriving item is processed by the rst workstation in which a service channel is free and is lost when no service channel is available at either of the stations Show how to calculate the fraction of items lost and solve for the numerical data = 10, = 1, 1 = 2, 2 = 15, s1 = 5 and s2 = 5 (Answer: 00306) Verify experimentally that the loss probability is nearly insensitive to the distributional form of the service requirement (eg compute the loss probability 00316 for the data when the service requirement has an H2 distribution with balanced means and a squared coef cient of variation of 4) 518 Consider a stochastic service system with Poisson arrivals at rate and two different groups of servers, where each arriving customer simultaneously requires a server from both groups An arrival not nding that both groups have a free server is lost and has no further in uence on the system The ith group consists of si identical servers (i = 1, 2) and each server can handle only one customer at a time An entering customer occupies the two assigned servers from the groups 1 and 2 during independently exponentially distributed times with respective means 1/ 1 and 1/ 2 Show how to calculate the loss probability.

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Bucik, V, & Neubauer, A C (1996) Bimodality in the Berlin Model of Intelligence Structure (BIS): A replication study Personality and Individual Differences, 21:987 1005 Dorner, D, Kreuzig, H W, Reither, F & Staudel, T (1983) Lohhausen Vom Umgang mit t Unbestimmtheit und Komplexita [Lohhausen On dealing with uncertainty and complexity] Bern: Huber Fishbein, M, & Ajzen, I (1974) Attitudes towards objects as predictors of single and multiple behavioral criteria Psychological Review, 81:59 74 Funke, J (1991) Solving complex problems: Exploration and control of complex systems In R J Sternberg & P A Frensch (Eds), Complex problem solving: Principles and mechanisms (pp 185 222) Hillsdale, NJ: Erlbaum Funke, J (1998) Computer-based testing and training with scenarios from complex problem solving research: Advantages and disadvantages International Journal of Selection and Assessment, 6:90 96 Funke, U (1995) Using complex problem solving tasks in personnel selection and training In P A Frensch & J Funke (eds), Complex problem solving: The European perspective (pp 219 240) Hillsdale, NJ: Erlbaum Jager, A O (1982) Mehrmodale Klassi kation von Intelligenzleistungen: Experimentell kontrollierte Weiterentwicklung eines deskriptiven Intelligenzstrukturmodells [Multimodal classi cation of intelligence tests: Experimentally controlled development of a descriptive model of intelligence structure] Diagnostica, 28:195 225 Jager, A O (1984) Intelligenzstrukturforschung: Konkurrierende Modelle, neue Entwicklungen, Perspektiven [Research on intelligence structure: Competing models, new developments, perspectives] Psychologische Rundschau, 35:21 35 Kersting, M (1998) Differentielle Aspekte der sozialen Akzeptanz von Intelligenztests und Problemloseszenarien als Personalauswahlverfahren [Differential-psychological aspects of applicants acceptance of intelligence tests and problem solving scenarios r as diagnostic tools for personnel selection] Zeitschrift fu Arbeits- und Organisations psychologie, 42:61 75 tzten Problemlo sesKersting, M (1999) Diagnostik und Personalauswahl mit computergestu zenarien [Assessment and personnel selection with computer-simulated problem solving scenarios ] Gottingen: Hogrefe Kersting, M (2001) Zur Konstrukt- und Kriteriumsvaliditat von Problemloseszenarien anhand der Vorhersage von Vorgesetztenurteilen uber die beru iche Bewahrung [On the construct and criterion validity of problem solving scenarios based on the prediction of supervisor assessment of job performance] Diagnostica, 47:67 76 Koller, O, Strau , B, & Sievers, K (1995) Zum Zusammenhang von (selbst eingeschatz ter) Kompetenz und Problemloseleistungen in komplexen Situationen [Correlation of (self assessed) competence and performance of problem solving in complex situations] Sprache & Kognition, 14:210 220 Locke, S D, & Gilbert, B O (1995) Method of psychological assessment, self disclosure, and experiential differences: A study of computer, questionnaire, and interview assessment formats Journal of Social Behaviour and Personality, 10:187 192 sen: Reliabilita und Wissen [Complex problem solving: t Muller, H (1993) Komplexes Problemlo Reliability and knowledge] Bonn: Holos Pressey, S L (1926) A simple apparatus which gives tests and scores and teaches School and Society, 23:373 376 Reynolds, D H, Sinar, E F, Scott, D R, & McClough, A C (2000) Evaluation of a Webbased selection procedure In N Mondragon (Chair), Beyond the demo: The empirical ature of technology-based assessments Symposium conducted at the 15th Annual Society for Industrial and Organizational Psychology Conference, New Orleans, LA Sands, W A, Waters, B K, & McBride, J R (1997) Computerized Adaptive Testing Washington, DC: American Psychological Association Shotland, A, Alliger, G M, & Sales, T (1998) Face validity in the context of personnel selection: A multimedia approach International Journal of Selection and Assessment, 6:124 130.

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