Titlebook: Stochastic Modelling in Innovative Manufacturing; Proceedings, Cambrid Anthony H. Christer,Shunji Osaki,Lyn C. Thomas Conference proceeding

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Games of Production Development in Manufacturing,e market of a new product. The market has a value .(.) which is non-increasing with respect to the elapsed time .. The competition begins at their announcements, and then each of the players continues the research to develop a new product according to his schedule. The winner is the one who can keep

bromide

Voting Procedure on Stopping Games of Markov Chain,ent defined by a monotonic logical function based on an individual players’ decision. The concept of Nash equilibrium is used. The solution of the game for finite and infinite horizon problems is derived. A simple example is presented.

轻信

Risk and Return Analysis of a Multi-Period Strategic Planning Problem,tment decisions which are economically optimal over the whole planning horizon T, while meeting customer demands and conforming to technological requirements. In strategic planning, time and uncertainty play important roles. The uncertainties in the model are due to different levels of forecast dema

抛射物

Input/Output Backlog Control and Dynamic Capacity Planning in Versatile Manufacturing Companies,er companies, on the basis of price, technical expertise, delivery time and reliability in meeting due dates. The production function of such companies is often faced with unrealistic delivery dates for incoming orders. This arise when the sales force quote delivery dates and prices which will maxim

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Algorithms for Allocating Resources to Multi-Stage Pharmaceutical Research Projects,rofitable number of scientists to allocate. General properties of these optimal allocations are derived and algorithms to calculate the optimal allocations are described, together with examples of their use. Optimal allocations are higher than those which are likely to complete the project in the mi

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An Optimal Selection Problem on a Partially Observable Markov Chain,problem is to select a predetermined number of observations in order to maximize the total expected reward of these selected. Under several assumptions, we consider an optimal selection problem for a partially observable Markov chain, and treat several properties concerning a relation between observ

GUISE

Generalizing the Secretary Problem with Rank-dependent Rejection Probability, at a time in random order with all .! permutations equally likely. If we could observe them all, we could rank them absolutely with no ties from best(rank 1) to worst(rank .). However, each time an applicant appears, we observe the rank of the applicant relative to those preceding her and decide, b

Defense

Immunization

Replacement Policies for a Shock Model with Two Kinds of Damage,y with time. It fails when the total amount of damage exceeds a failure level ., and to prevent failure, it is replaced at time . or at the .—th shock. The expected cost rate for two policies are derived, using the theory of cumulative processes. When shocks follow a Poisson process, optimal .* or .

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Stochastic maintenance modelling of high-tech steel production plant,f plant downtime was formulated. A study objective was to demonstrate the use of maintenance modelling in showing the consequences to production of varying the interval of preventive maintenance and the quality of maintenance work carried out. In order to assess the potential for improvement within