machine is investigated. It is assumed that the production capacity of the machine is lim-literature [2]. The well-know y many ind researche questioned the practical applications of the EOQ and EPQ model. Woolsey [5] severely criticized the use of the EOQ arguing that the assumptions do not meet

Abstract—We present a game-theoretical framework that merges electricity market models and model predictive control concepts. We demonstrate that the framework can be used to systematically analyze the effects of ramp constraints, initial conditions, dynamic disturbances, forecast horizon, and bidding frequency on the price signals. We illustrate the capabilities of the framework using a numerical case study. Index Terms—dynamics, markets, model predictive control, game theory, bidding, ramps, forecast horizon, market clearing

The basic issue concerning production in welfare economics is whether a market solution will yield the socially optimum kinds and quantities of commodities. It is well known that problems can arise for three broad reasons: distributive justice; external effects; and scale economies. This paper

Abstract:- This paper investigates the optimal inventory replenishment policy for an economic production quantity (EPQ) model with backordering, rework and machine breakdown taking place in stock piling time. A prior paper by Chiu has examined the lot-sizing problem on an imperfect quality EPQ

ABSTRACT- In this paper, we study an economic production quantity (EPQ) problem in which an item is produced by a single machine. We assume that the machine may fail in an exponential random time. The repair time is an exponential random variable. It is possible to satisfy the demand from

and (b) whether competitors’ products are strategic substitutes or strategic complements. The latter distinction is determined by whether more “aggressive” play (e.g., lower price or higher quantity) by one firm in a market lowers or raises compet-ing firms’ marginal profitabilities in that market. Many

persons, organizations, products, etc. with their semantic relationships – and in quantity by increasing the number of facts by more than an order of magnitude. Our empirical evaluation of fact correctness shows an accuracy of about 95%. YAGO is based on a logically clean model, which is decidable

a b s t r a c t In this paper, a production quantity model with random defective items, service level constraints and repair failure is studied. The existence of only one machine results in limited production capacity and partial backordering. The aim of this research is to determine the optimal

Abstract. This paper summarizes the current main methods of heterogeneous data conversion, focuses on the necessity of establishing the data conversion specification for China's agricultural product quantity safety, as well as specifies the main designs and solutions for data conversion

: One of the most important tasks operations manager are confronted with is to determine production quantities over a mediumsize planning horizon such that demand is met, scarce production facilities are not overloaded and that the sum of holding and setup costs is minimized. For the single machine