8期

最新文章

• New procedures to select the best simulated system using common random numbers AI翻译
  作者：Chick, SE; Inoue, K
  作者单位：University of Michigan System; University of Michigan
  摘要：Although simulation is widely used to select the best of several alternative system designs, and common random numbers is an important tool for reducing the computation effort of simulation experiments, there are surprisingly few tools available to help a simulation practitioner select the best system when common random numbers are employed. This paper presents new two-stage procedures that use common random numbers to help identify the best simulated system. The procedures allow for screening...
• On maximizing the net present value of a project under renewable resource constraints AI翻译
  作者：Vanhoucke, M; Demeulemeester, E; Herroelen, W
  作者单位：KU Leuven
  摘要：In this paper we study the resource-constrained project-scheduling problem with discounted cash flows. Each activity of this resource-constrained project-scheduling problem has certain resource requirements and a known deterministic cash flow that can be either positive or negative. Deterministic cash flows are assumed to occur over the duration of the activities. Progress payments and cash outflows occur at the completion of activities. The objective is to schedule the activities subject to a...
• Hybridising tabu search with optimisation techniques for irregular stock cutting AI翻译
  作者：Bennell, JA; Dowsland, KA
  作者单位：University of Southampton; Swansea University
  摘要：Sequential meta-heuristic implementations for the irregular stock-cutting problem have highlighted a number of common problems. The literature suggests a consensus that it is more efficient to allow configurations with overlapping pieces in the solution space and to penalise these in the evaluation function. However, depending on the severity of the penalty this relaxation results in a tendency to converge toward infeasible solutions or to seek out feasible solutions at the expense of overall ...
• Contingent labor contracting under demand and supply uncertainty AI翻译
  作者：Milner, JM; Pinker, EJ
  作者单位：Washington University (WUSTL); University of Rochester
  摘要：Firms increasingly use contingent labor to flexibly respond to demand in many environments. Labor supply agencies are growing to fill this need. As a result, firms and agencies are engaging in long-term contracts for labor supply. We develop mathematical models of the interaction between firms and labor supply agencies when demand and supply are uncertain. We consider two models of labor supply uncertainty, termed productivity and availability uncertainty, and study how each affects the nature...