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Data envelopment analysis (DEA) is a data based mathematical approach, which handles large numbers of variables, constraints, and data. Hence, data play an important and critical role in DEA. Given a set of decision making units (DMUs) and identified inputs and outputs (performance measures), DEA...
The quadratic multiple knapsack problem (QMKP) consists in assigning objects with both individual and pairwise profits to a set of limited knapsacks in order to maximize the total profit. QMKP is a NP-hard combinatorial optimization problem with a number of applications. In this paper, we present...
One of the most important aspects of multi-echelon inventory management deals with spare part; because, in the real world, it is more economic to repair equipment than change them. Also, it is possible, when more spare parts bought from an external supplier; seller gives quantity discount for all...
Revenue sharing is an effective mechanism for coordinating decisions in a supply chain. For a three-stage supply chain, we explore how revenue-based incentives can be used by the stage 1 supply chain agent (retailer) to motivate cooperative behavior from its two upstream partners with conflicting...
The $$p$$ p -median model is used to locate $$P$$ P facilities to serve a geographically distributed population. Conventionally, it is assumed that the population patronizes the nearest facility and that the distance between the resident and the facility may be measured by the Euclidean distance....
In multivariate stratified sampling more than one characteristic are defined on every unit of the population. An optimum allocation which is optimum for one characteristic will generally be far from optimum for others. To resolve this problem, a compromise criterion is needed to work out a usable...