We investigate tactical level planning problems in float glass manufacturing. Float glass manufacturing is a process that has some unique properties such as uninterruptible produc-tion, random yields, partially controllable co-production compositions, complex relationships in sequencing of products

Co-production occurs when a production run produces, simultaneously, more than one type of product. In this paper, we consider co-production planning problems with stochastic yields, multiple processes, limited capacity, and non-transitive product demand substitution. We show that these problems

This paper shows how to set basestock levels in a multiproduct system with setups and random yield. The system is represented by a polling model and the inventory level of each product is controlled using a basestock policy. When the queue is empty, the inventory level is equal to the basestock

, and where (usually by random combination of social events in a preexisting, historically determined, social structure), makes speci c societies, such as now the 'network society'. Production is the action of humankind on matter (nature), to appropriate it and transform it for its bene

New arithmetic two-dimensional generators of pseudo-random test vectors arepresented. As an integral part of a recently proposed arithmetic built-in self test #ABIST# environment, all generation functions are executedbybasic building blocks performing regular functions of data path architectures

Dual production specifications derived under certainty are typically randomized for econometric purposes with ad hoc error specifications. This article shows that such approaches can cause inte-grability conditions to fail. In particular, if errors in input demands represent errors in optimization

In this paper we derive a joint continuous/censored demand system suitable for the analysis of commodity demand relationships using panel data. Unobserved heterogeneity is controlled for using a correlated random effects specification and a Generalized Method of Moments framework used to estimate

This paper studies an inventory policy for a retailer who orders his products from a supplier whose deliveries only partially satisfy the quality require-ments. We model this situation by an infinite-horizon periodic-review model with binomial random yield and positive lead time. We propose

design interdependent products, for example software programs, which may be complements or substitutes for each other. These relationships are represented by an object called a design structure network (DSN). Depending on the modeler’s choice of allocation rules, agents may benefit from owning critical

that using d = 2 choices yields an exponential improvement in the expected time a customer spends in the system over d = 1 choice (simple random selection) in equilibrium. Here we examine several variations, including constant service times and threshold models, where a customer makes up to d successive